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"The focus of the following programming involves the finding of words associated with a key word which would allow one to make associations regarding caring for patients. Here the key word is telemedicine. Our goal is to determine any other words that are associated with telemedicine which could indicate other issues to take into consideration. Tweets were the source of this data set however patient communications with the physicians could provide the data set to perform a more focused study of patient concerns."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"colab": {},
"colab_type": "code",
"id": "wBcC9YM-iVhE",
"scrolled": true
},
"outputs": [],
"source": [
"import numpy as np \n",
"import pandas as pd\n",
"import nltk"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 585
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"source": [
"# The first step is to clean and preprocess the data.\n",
"# Read data file and drop duplicates.\n",
"data = pd.read_csv(r'https://raw.githubusercontent.com/DavidNNussbaum/Keyword-Associations/master/data.csv', \n",
" engine='python', error_bad_lines=False, encoding='utf-8') \n",
"data = data.drop_duplicates(subset='Tweet') \n",
"data.head()"
]
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"source": [
"# Take only the Tweet column from the dataframe.\n",
"data = data[['Tweet']]\n",
"data.head()"
]
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"source": [
"# Remove mentions, links and hasgtags.\n",
"import re\n",
"\n",
"new_list = []\n",
"content_list = list(data['Tweet'])\n",
"\n",
"for content in content_list:\n",
" sentence = content.split(\" \")\n",
" new_string = \" \"\n",
" for word in sentence:\n",
" words = ' '.join(re.sub(\"(@[A-Za-z0-9]+)|([^0-9A-Za-z \\t])|(\\w+:\\/\\/\\S+)\",\" \",word).split())\n",
" new_string = new_string + \" \" + words\n",
" sent = ' '.join(words) \n",
" new_list.append(new_string)\n",
"data['Tweet'] = new_list\n",
"\n",
"data.head()"
]
},
{
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"source": [
"# Convert text into lower case.\n",
"data[\"Tweet\"] = data['Tweet'].str.lower()\n",
"data.head()"
]
},
{
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"source": [
"# Remove rt from the data.\n",
"data[\"Tweet\"] = data['Tweet'].str.replace('rt ','')\n",
"data.head()"
]
},
{
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"metadata": {
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"source": [
"# Remove accented keywords.\n",
"data[\"Tweet\"] = data['Tweet'].str.normalize('NFKD')\\\n",
" .str.encode('ascii', errors='ignore')\\\n",
" .str.decode('utf-8')"
]
},
{
"cell_type": "code",
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"metadata": {
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"# Remove irrelevant characters other than alphanumeric and space.\n",
"data['Tweet']=data['Tweet'].str.replace('[^A-Za-z0-9\\s]+', '')\n",
"data.head()"
]
},
{
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"source": [
"# Remove numbers from string.\n",
"data['Tweet'] = data['Tweet'].str.replace('\\d+', '')\n",
"data.head()"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
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},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"[nltk_data] Downloading package punkt to\n",
"[nltk_data] C:\\Users\\User\\AppData\\Roaming\\nltk_data...\n",
"[nltk_data] Package punkt is already up-to-date!\n"
]
},
{
"data": {
"text/plain": [
"0 [breaking, we, have, therefore, made, the, ass...\n",
"1 [these, are, simple, steps, to, protect, yours...\n",
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"3 [hasta, el, momento, estas, son, las, universi...\n",
"4 [fr, urgent, donovan, mitchell, joueur, de, l,...\n",
" ... \n",
"729 [these, are, the, suggestions, from, the, u, s...\n",
"730 [stay, safe, coronavirusuk, coronavirus, stays...\n",
"731 [yoshiki, x, nobel, prize, laureate, in, physi...\n",
"732 [whit, is, speakerpelosi, just, drunk, or, is,...\n",
"733 [forensic, med, the, data, are, consistent, wi...\n",
"Name: Tweet, Length: 734, dtype: object"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Tokenize the data.\n",
"import nltk\n",
"nltk.download('punkt')\n",
"from nltk.tokenize import word_tokenize\n",
"\n",
"tokenized_data = data['Tweet'].apply(word_tokenize)\n",
"tokenized_data"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 229
},
"colab_type": "code",
"id": "fnEyCcRyiVhq",
"outputId": "cf3a499f-8b70-4b00-fab5-38e41629c5d4",
"scrolled": true
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"[nltk_data] Downloading package wordnet to\n",
"[nltk_data] C:\\Users\\User\\AppData\\Roaming\\nltk_data...\n",
"[nltk_data] Package wordnet is already up-to-date!\n"
]
},
{
"data": {
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],
"source": [
"# Lemmatize the data.\n",
"import nltk\n",
"nltk.download('wordnet')\n",
"from nltk.stem import WordNetLemmatizer\n",
"wordnet_lemmatizer = WordNetLemmatizer()\n",
"def lemmatize_text(text):\n",
" return [wordnet_lemmatizer.lemmatize(w) for w in word_tokenize(text)]\n",
"\n",
"data['lemmatized_text'] = data.Tweet.apply(lemmatize_text)\n",
"data.head()"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 52
},
"colab_type": "code",
"id": "SG2akClMiVht",
"outputId": "5ab780c1-515d-4a9b-fa08-2b8cc93a0f1c",
"scrolled": true
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"[nltk_data] Downloading package stopwords to\n",
"[nltk_data] C:\\Users\\User\\AppData\\Roaming\\nltk_data...\n",
"[nltk_data] Package stopwords is already up-to-date!\n"
]
}
],
"source": [
"# Remove stop words and vectorize the data. Print the vocabulary.\n",
"from sklearn.feature_extraction.text import TfidfVectorizer\n",
"import nltk\n",
"nltk.download('stopwords')\n",
"from nltk.corpus import stopwords\n",
"\n",
"extra_stop_words = ['coronavirus', 'http'] \n",
"stop_words = stopwords.words('english') + stopwords.words('french') + stopwords.words('spanish') + extra_stop_words \n",
"tfidf = TfidfVectorizer(encoding='utf-8', stop_words=stop_words)\n",
"features = tfidf.fit_transform(data['Tweet'].astype(str))"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 70
},
"colab_type": "code",
"id": "ZDlY0hKdlmoS",
"outputId": "c03e0a19-cae6-45ec-f3b7-29f5a8d5632a",
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"There are a total of 734 Tweets in the dataset\n",
"There are a total of 5453 words in the vocabulary\n",
"The index of \"telemedicine\" is 4813\n"
]
}
],
"source": [
"# Look at the shape of the data.\n",
"\n",
"print('There are a total of',len(data), 'Tweets in the dataset')\n",
"print('There are a total of',len(tfidf.vocabulary_), 'words in the vocabulary')\n",
"print('The index of \"telemedicine\" is',tfidf.vocabulary_['telemedicine'])"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 35
},
"colab_type": "code",
"id": "yDyPwWaPlmoV",
"outputId": "d512d438-8a58-4662-968a-633d37ba7a38",
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"4813"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Finding the index of the word by looking it up in the tfidf.vocabulary_:\n",
"\n",
"tfidf.vocabulary_['telemedicine']"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 35
},
"colab_type": "code",
"id": "EyCZTpIUlmoY",
"outputId": "89342b63-5102-47d8-bc9c-ac7d175fb0f0",
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The word at index 4813 in the vocabulary is telemedicine\n"
]
}
],
"source": [
"# This is a reverse look up locate a word by its index using a dictionary comprehension.Note that the index number changes ehen the program is rerun.\n",
"\n",
"word_by_index = {tfidf.vocabulary_[key]:key for key in tfidf.vocabulary_.keys() }\n",
"print('The word at index 4813 in the vocabulary is',word_by_index[4813])"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 35
},
"colab_type": "code",
"id": "2bE5x4XwiVhy",
"outputId": "ab18797b-9255-4ea0-cebc-dcc9359e76f8",
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"telemedicine appears 1 time(s)\n"
]
}
],
"source": [
"# Determine how often a key word appears.\n",
"word = 'telemedicine'\n",
"def count_occurrences(word, tweets_cleaned_str): #to iterate through all tweets.\n",
" idxs = []\n",
" for i, tweet in enumerate(tweets_cleaned_str): # enumerate keeps indexes of telemedicine\n",
" if word in tweet:\n",
" idxs.append(i)\n",
" return idxs \n",
"word_idx = count_occurrences(word, tokenized_data) # Says how many times a particular word appears\n",
"print(word, 'appears', len(word_idx), 'time(s)')"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 280
},
"colab_type": "code",
"id": "E0BYRV2miVh0",
"outputId": "05ff5ece-a157-4bc2-cf25-057a43f7a29e",
"scrolled": true
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Create a graph that has a range of k-means on the X axis and the squared distances on the Y axis.\n",
"from nltk.tokenize import word_tokenize \n",
"from nltk.corpus import stopwords\n",
"from nltk.probability import FreqDist \n",
"from sklearn.cluster import KMeans\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
" \n",
"\n",
"\n",
"# Produce k-means clustering for 2 - 100 clusters. \n",
"true_k = list(range(2, 100)) \n",
"k_attempts = [KMeans(n_clusters=n, init='k-means++', max_iter=100, n_init=1, random_state=42).fit(features) for n in true_k]\n",
"squared_distances = [model.inertia_ for model in k_attempts]\n",
" \n",
"plt.plot(true_k, squared_distances)\n",
"plt.xlabel('true_k')\n",
"plt.ylabel('squared_distances') \n",
"plt.show() "
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 746
},
"colab_type": "code",
"id": "Yz1QJK6qlmpP",
"outputId": "a8d27f0e-790e-4a48-c54d-50377a1903cc",
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"k, Number of Tweets in each cluster\n",
"2 [461, 170]\n",
"3 [404, 142, 45]\n",
"4 [390, 135, 43, 33]\n",
"5 [362, 122, 42, 29, 94]\n",
"6 [97, 77, 38, 86, 214, 130]\n",
"7 [91, 70, 36, 76, 199, 117, 44]\n",
"8 [89, 68, 33, 74, 198, 109, 43, 42]\n",
"9 [88, 67, 33, 74, 192, 109, 40, 41, 49]\n",
"10 [81, 57, 33, 73, 187, 103, 40, 41, 49, 24]\n",
"11 [78, 56, 30, 65, 177, 99, 38, 39, 45, 23, 17]\n",
"12 [76, 55, 30, 65, 173, 96, 38, 39, 45, 23, 17, 25]\n",
"13 [73, 55, 30, 64, 168, 96, 38, 39, 41, 23, 17, 25, 37]\n",
"14 [72, 52, 30, 63, 164, 93, 38, 39, 39, 23, 17, 21, 38, 13]\n",
"15 [65, 50, 30, 62, 159, 92, 37, 39, 38, 23, 17, 20, 38, 13, 14]\n",
"16 [65, 47, 30, 62, 153, 91, 37, 39, 37, 23, 17, 17, 38, 13, 13, 14]\n",
"17 [65, 47, 30, 62, 150, 89, 37, 39, 36, 23, 17, 17, 38, 13, 13, 14, 20]\n",
"18 [62, 44, 30, 61, 148, 86, 37, 39, 35, 23, 17, 17, 38, 13, 13, 14, 20, 16]\n",
"19 [1, 1, 1, 1, 2, 1, 704, 2, 1, 1, 1, 1, 1, 1, 1, 2, 7, 1, 1]\n",
"20 [1, 1, 1, 1, 2, 1, 703, 2, 1, 1, 1, 1, 1, 1, 1, 2, 7, 1, 1, 1]\n",
"21 [1, 1, 1, 1, 2, 1, 702, 2, 1, 1, 1, 1, 1, 1, 1, 2, 7, 1, 1, 1, 2]\n",
"22 [1, 1, 1, 1, 2, 1, 701, 2, 1, 1, 1, 1, 1, 1, 1, 2, 7, 1, 1, 1, 2, 1]\n",
"23 [1, 1, 1, 1, 2, 1, 700, 2, 1, 1, 1, 1, 1, 1, 1, 2, 7, 1, 1, 1, 2, 1, 1]\n",
"24 [1, 1, 1, 1, 2, 1, 698, 2, 1, 1, 1, 1, 1, 1, 1, 2, 7, 1, 1, 1, 2, 1, 1, 1]\n",
"25 [1, 1, 1, 1, 2, 1, 697, 2, 1, 1, 1, 1, 1, 1, 1, 2, 7, 1, 1, 1, 2, 1, 1, 1, 1]\n",
"26 [1, 1, 1, 1, 2, 1, 696, 2, 1, 1, 1, 1, 1, 1, 1, 2, 7, 1, 1, 1, 2, 1, 1, 1, 1, 2]\n",
"27 [1, 1, 1, 1, 2, 1, 695, 2, 1, 1, 1, 1, 1, 1, 1, 2, 7, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1]\n",
"28 [1, 1, 1, 1, 2, 1, 694, 2, 1, 1, 1, 1, 1, 1, 1, 2, 7, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1]\n",
"29 [1, 1, 1, 1, 2, 1, 693, 2, 1, 1, 1, 1, 1, 1, 1, 2, 7, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1]\n",
"30 [1, 1, 1, 1, 2, 1, 692, 2, 1, 1, 1, 1, 1, 1, 1, 2, 7, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1]\n",
"31 [1, 1, 1, 1, 2, 1, 691, 2, 1, 1, 1, 1, 1, 1, 1, 2, 7, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1]\n",
"32 [1, 1, 1, 1, 2, 1, 689, 2, 1, 1, 1, 1, 1, 1, 1, 2, 7, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1]\n",
"33 [1, 1, 1, 1, 2, 1, 688, 2, 1, 1, 1, 1, 1, 1, 1, 2, 7, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1]\n",
"34 [1, 1, 1, 1, 2, 1, 687, 2, 1, 1, 1, 1, 1, 1, 1, 2, 7, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 2]\n",
"35 [1, 1, 1, 1, 2, 1, 686, 2, 1, 1, 1, 1, 1, 1, 1, 2, 7, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1]\n",
"36 [1, 1, 1, 1, 2, 1, 684, 2, 1, 1, 1, 1, 1, 1, 1, 2, 7, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1]\n",
"37 [1, 1, 1, 1, 2, 1, 682, 2, 1, 1, 1, 1, 1, 1, 1, 2, 7, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1]\n",
"38 [1, 1, 1, 1, 2, 1, 681, 2, 1, 1, 1, 1, 1, 1, 1, 2, 7, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 2]\n",
"39 [1, 1, 1, 1, 2, 1, 680, 2, 1, 1, 1, 1, 1, 1, 1, 2, 7, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 2, 2]\n",
"40 [1, 1, 1, 1, 2, 1, 679, 2, 1, 1, 1, 1, 1, 1, 1, 2, 7, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 2, 2, 1]\n",
"41 [1, 1, 1, 1, 2, 1, 678, 2, 1, 1, 1, 1, 1, 1, 1, 2, 7, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 2, 2, 1, 1]\n"
]
}
],
"source": [
"print('k, Number of Tweets in each cluster')\n",
"\n",
"for k in range(2, 42):\n",
" print(k, [len(tokenized_data[k_attempts[k].labels_ == i]) for i in range(k)])\n",
"\n",
" \n",
"# From the print out below, you can see a very uneven distribution of tweets for many of the choices of k beginning with 36."
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"colab_type": "code",
"id": "bpwBxGqWlmpU",
"outputId": "2428bc74-82d5-4dd5-9e87-02726bbc9f06",
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"cluster: 0 california coefficient: 0.3590\n",
"cluster: 0 college coefficient: 0.3267\n",
"cluster: 0 events coefficient: 0.3356\n",
"cluster: 0 played coefficient: 0.3757\n",
"cluster: 0 spectators coefficient: 0.3991\n",
"cluster: 0 sporting coefficient: 0.3991\n",
"cluster: 0 update coefficient: 0.3006\n",
"cluster: 0 without coefficient: 0.3190\n",
"cluster: 1 covid coefficient: 0.2018\n",
"cluster: 1 details coefficient: 0.2621\n",
"cluster: 1 donor coefficient: 0.3022\n",
"cluster: 1 guidelines coefficient: 0.2718\n",
"cluster: 1 humanmilk coefficient: 0.3022\n",
"cluster: 1 includes coefficient: 0.2844\n",
"cluster: 1 measures coefficient: 0.2621\n",
"cluster: 1 milkbanking coefficient: 0.3022\n",
"cluster: 1 pasteurized coefficient: 0.3022\n",
"cluster: 1 processing coefficient: 0.3022\n",
"cluster: 1 safety coefficient: 0.2364\n",
"cluster: 1 statement coefficient: 0.2844\n",
"cluster: 1 updated coefficient: 0.2718\n",
"cluster: 2 bringing coefficient: 0.3266\n",
"cluster: 2 come coefficient: 0.2784\n",
"cluster: 2 everyday coefficient: 0.3630\n",
"cluster: 2 home coefficient: 0.2447\n",
"cluster: 2 incase coefficient: 0.3630\n",
"cluster: 2 laptop coefficient: 0.3417\n",
"cluster: 2 lol coefficient: 0.3417\n",
"cluster: 2 tell coefficient: 0.2784\n",
"cluster: 2 us coefficient: 0.2225\n",
"cluster: 2 workfromhome coefficient: 0.3630\n",
"cluster: 3 coverage coefficient: 0.2605\n",
"cluster: 3 find coefficient: 0.2605\n",
"cluster: 3 home coefficient: 0.2088\n",
"cluster: 3 including coefficient: 0.2605\n",
"cluster: 3 keep coefficient: 0.2294\n",
"cluster: 3 know coefficient: 0.4450\n",
"cluster: 3 latest coefficient: 0.2376\n",
"cluster: 3 lot coefficient: 0.2423\n",
"cluster: 3 much coefficient: 0.2536\n",
"cluster: 3 need coefficient: 0.2022\n",
"cluster: 3 news coefficient: 0.2333\n",
"cluster: 3 prepare coefficient: 0.2605\n",
"cluster: 3 today coefficient: 0.2225\n",
"cluster: 3 updates coefficient: 0.2787\n",
"cluster: 3 virus coefficient: 0.1801\n",
"cluster: 4 cases coefficient: 0.2011\n",
"cluster: 4 china coefficient: 0.1933\n",
"cluster: 4 confirmed coefficient: 0.2401\n",
"cluster: 4 corona coefficient: 0.2242\n",
"cluster: 4 coronavirusitalia coefficient: 0.3233\n",
"cluster: 4 coronavirusturkey coefficient: 0.3233\n",
"cluster: 4 coronavirusupdate coefficient: 0.2401\n",
"cluster: 4 covid coefficient: 0.3441\n",
"cluster: 4 korona coefficient: 0.2979\n",
"cluster: 4 koronawirus coefficient: 0.2888\n",
"cluster: 4 okullartatiledilsin coefficient: 0.1554\n",
"cluster: 4 outside coefficient: 0.2888\n",
"cluster: 4 trn coefficient: 0.1708\n",
"cluster: 4 update coefficient: 0.2587\n",
"cluster: 5 alleged coefficient: 0.2705\n",
"cluster: 5 arab coefficient: 0.2547\n",
"cluster: 5 contracted coefficient: 0.2547\n",
"cluster: 5 delegation coefficient: 0.2547\n",
"cluster: 5 hassan coefficient: 0.2434\n",
"cluster: 5 hezbollah coefficient: 0.2434\n",
"cluster: 5 high coefficient: 0.2215\n",
"cluster: 5 iran coefficient: 0.1845\n",
"cluster: 5 leader coefficient: 0.2346\n",
"cluster: 5 media coefficient: 0.1943\n",
"cluster: 5 nasrallah coefficient: 0.2705\n",
"cluster: 5 possibly coefficient: 0.2434\n",
"cluster: 5 post coefficient: 0.2346\n",
"cluster: 5 ranking coefficient: 0.2705\n",
"cluster: 5 receiving coefficient: 0.2705\n",
"cluster: 5 reports coefficient: 0.2116\n",
"cluster: 5 social coefficient: 0.2434\n",
"cluster: 6 aan coefficient: 0.0005\n",
"cluster: 6 aansprakelijk coefficient: 0.0003\n",
"cluster: 6 aashish coefficient: 0.0004\n",
"cluster: 6 abajo coefficient: 0.0003\n",
"cluster: 6 abandonan coefficient: 0.0005\n",
"cluster: 6 abandoned coefficient: 0.0003\n",
"cluster: 6 abandoning coefficient: 0.0004\n",
"cluster: 6 abc coefficient: 0.0007\n",
"cluster: 6 abdocspatients coefficient: 0.0006\n",
"cluster: 6 aber coefficient: 0.0003\n",
"cluster: 6 ability coefficient: 0.0003\n",
"cluster: 6 able coefficient: 0.0006\n",
"cluster: 6 ableg coefficient: 0.0003\n",
"cluster: 6 aboard coefficient: 0.0004\n",
"cluster: 6 aboves coefficient: 0.0005\n",
"cluster: 6 abril coefficient: 0.0007\n",
"cluster: 6 abro coefficient: 0.0004\n",
"cluster: 6 abroad coefficient: 0.0014\n",
"cluster: 6 abruptly coefficient: 0.0009\n",
"cluster: 6 absence coefficient: 0.0003\n",
"cluster: 6 absolutely coefficient: 0.0007\n",
"cluster: 6 abt coefficient: 0.0003\n",
"cluster: 6 abu coefficient: 0.0002\n",
"cluster: 6 abundance coefficient: 0.0003\n",
"cluster: 6 ac coefficient: 0.0004\n",
"cluster: 6 acaba coefficient: 0.0003\n",
"cluster: 6 acabar coefficient: 0.0003\n",
"cluster: 6 accept coefficient: 0.0003\n",
"cluster: 6 acceso coefficient: 0.0003\n",
"cluster: 6 accesoalainformaci coefficient: 0.0004\n",
"cluster: 6 acciones coefficient: 0.0004\n",
"cluster: 6 according coefficient: 0.0010\n",
"cluster: 6 account coefficient: 0.0004\n",
"cluster: 6 accounts coefficient: 0.0003\n",
"cluster: 6 accurate coefficient: 0.0010\n",
"cluster: 6 acelerar coefficient: 0.0003\n",
"cluster: 6 acepten coefficient: 0.0005\n",
"cluster: 6 achieve coefficient: 0.0010\n",
"cluster: 6 acknowledges coefficient: 0.0004\n",
"cluster: 6 aclara coefficient: 0.0005\n",
"cluster: 6 acondicionados coefficient: 0.0003\n",
"cluster: 6 acontecer coefficient: 0.0004\n",
"cluster: 6 aconteceu coefficient: 0.0004\n",
"cluster: 6 acredita coefficient: 0.0003\n",
"cluster: 6 across coefficient: 0.0013\n",
"cluster: 6 act coefficient: 0.0012\n",
"cluster: 6 acted coefficient: 0.0007\n",
"cluster: 6 action coefficient: 0.0014\n",
"cluster: 6 actionable coefficient: 0.0004\n",
"cluster: 6 actions coefficient: 0.0004\n",
"cluster: 6 actitud coefficient: 0.0004\n",
"cluster: 6 activa coefficient: 0.0004\n",
"cluster: 6 activadosporlasalud coefficient: 0.0004\n",
"cluster: 6 activating coefficient: 0.0003\n",
"cluster: 6 actively coefficient: 0.0005\n",
"cluster: 6 actividad coefficient: 0.0005\n",
"cluster: 6 actividades coefficient: 0.0010\n",
"cluster: 6 actuaci coefficient: 0.0005\n",
"cluster: 6 actual coefficient: 0.0010\n",
"cluster: 6 actuales coefficient: 0.0002\n",
"cluster: 6 actualidad coefficient: 0.0003\n",
"cluster: 6 actualizaci coefficient: 0.0007\n",
"cluster: 6 actually coefficient: 0.0004\n",
"cluster: 6 actualmente coefficient: 0.0004\n",
"cluster: 6 acuerdo coefficient: 0.0004\n",
"cluster: 6 acumulados coefficient: 0.0002\n",
"cluster: 6 acute coefficient: 0.0006\n",
"cluster: 6 ad coefficient: 0.0008\n",
"cluster: 6 ada coefficient: 0.0003\n",
"cluster: 6 adanya coefficient: 0.0003\n",
"cluster: 6 added coefficient: 0.0003\n",
"cluster: 6 adding coefficient: 0.0004\n",
"cluster: 6 addition coefficient: 0.0004\n",
"cluster: 6 address coefficient: 0.0008\n",
"cluster: 6 adecuadamente coefficient: 0.0004\n",
"cluster: 6 adem coefficient: 0.0003\n",
"cluster: 6 administration coefficient: 0.0010\n",
"cluster: 6 administrativos coefficient: 0.0004\n",
"cluster: 6 administrators coefficient: 0.0004\n",
"cluster: 6 admitted coefficient: 0.0004\n",
"cluster: 6 adopt coefficient: 0.0006\n",
"cluster: 6 adoptadas coefficient: 0.0003\n",
"cluster: 6 adquirir coefficient: 0.0002\n",
"cluster: 6 advertisement coefficient: 0.0003\n",
"cluster: 6 advice coefficient: 0.0013\n",
"cluster: 6 adviezen coefficient: 0.0002\n",
"cluster: 6 advises coefficient: 0.0009\n",
"cluster: 6 advisor coefficient: 0.0005\n",
"cluster: 6 advisory coefficient: 0.0003\n",
"cluster: 6 aeropuerto coefficient: 0.0016\n",
"cluster: 6 aeropuertos coefficient: 0.0003\n",
"cluster: 6 aerosol coefficient: 0.0003\n",
"cluster: 6 afecta coefficient: 0.0009\n",
"cluster: 6 afecte coefficient: 0.0003\n",
"cluster: 6 affect coefficient: 0.0004\n",
"cluster: 6 affected coefficient: 0.0003\n",
"cluster: 6 affects coefficient: 0.0006\n",
"cluster: 6 afford coefficient: 0.0007\n",
"cluster: 6 afirman coefficient: 0.0004\n",
"cluster: 6 afraid coefficient: 0.0003\n",
"cluster: 6 african coefficient: 0.0003\n",
"cluster: 6 afrique coefficient: 0.0006\n",
"cluster: 6 afrontar coefficient: 0.0004\n",
"cluster: 6 agency coefficient: 0.0004\n",
"cluster: 6 agenda coefficient: 0.0006\n",
"cluster: 6 aggressive coefficient: 0.0004\n",
"cluster: 6 agir coefficient: 0.0003\n",
"cluster: 6 ago coefficient: 0.0004\n",
"cluster: 6 agradezco coefficient: 0.0003\n",
"cluster: 6 agravante coefficient: 0.0003\n",
"cluster: 6 agua coefficient: 0.0016\n",
"cluster: 6 agudas coefficient: 0.0003\n",
"cluster: 6 ah coefficient: 0.0007\n",
"cluster: 6 ahead coefficient: 0.0008\n",
"cluster: 6 ahora coefficient: 0.0027\n",
"cluster: 6 aid coefficient: 0.0008\n",
"cluster: 6 aids coefficient: 0.0006\n",
"cluster: 6 aimed coefficient: 0.0004\n",
"cluster: 6 aipac coefficient: 0.0004\n",
"cluster: 6 air coefficient: 0.0010\n",
"cluster: 6 airline coefficient: 0.0010\n",
"cluster: 6 airlines coefficient: 0.0006\n",
"cluster: 6 airports coefficient: 0.0003\n",
"cluster: 6 airsoft coefficient: 0.0005\n",
"cluster: 6 airsofter coefficient: 0.0005\n",
"cluster: 6 aislada coefficient: 0.0004\n",
"cluster: 6 aislamiento coefficient: 0.0014\n",
"cluster: 6 aislarlo coefficient: 0.0004\n",
"cluster: 6 ajuste coefficient: 0.0004\n",
"cluster: 6 akan coefficient: 0.0002\n",
"cluster: 6 ako coefficient: 0.0003\n",
"cluster: 6 ala coefficient: 0.0003\n",
"cluster: 6 alarma coefficient: 0.0003\n",
"cluster: 6 alarmar coefficient: 0.0004\n",
"cluster: 6 alarmarnos coefficient: 0.0005\n",
"cluster: 6 alarmarse coefficient: 0.0003\n",
"cluster: 6 alberta coefficient: 0.0003\n",
"cluster: 6 albrecht coefficient: 0.0002\n",
"cluster: 6 alcohol coefficient: 0.0014\n",
"cluster: 6 alegro coefficient: 0.0003\n",
"cluster: 6 alemania coefficient: 0.0008\n",
"cluster: 6 alerta coefficient: 0.0007\n",
"cluster: 6 alerte coefficient: 0.0003\n",
"cluster: 6 ales coefficient: 0.0007\n",
"cluster: 6 alexander coefficient: 0.0003\n",
"cluster: 6 alexandre coefficient: 0.0003\n",
"cluster: 6 algunod coefficient: 0.0003\n",
"cluster: 6 alguns coefficient: 0.0003\n",
"cluster: 6 ali coefficient: 0.0003\n",
"cluster: 6 aliciap coefficient: 0.0008\n",
"cluster: 6 alive coefficient: 0.0003\n",
"cluster: 6 alla coefficient: 0.0003\n",
"cluster: 6 allay coefficient: 0.0003\n",
"cluster: 6 alle coefficient: 0.0003\n",
"cluster: 6 allemagne coefficient: 0.0004\n",
"cluster: 6 aller coefficient: 0.0003\n",
"cluster: 6 allies coefficient: 0.0004\n",
"cluster: 6 allora coefficient: 0.0003\n",
"cluster: 6 allow coefficient: 0.0004\n",
"cluster: 6 allowed coefficient: 0.0003\n",
"cluster: 6 allowing coefficient: 0.0004\n",
"cluster: 6 ally coefficient: 0.0003\n",
"cluster: 6 almost coefficient: 0.0008\n",
"cluster: 6 alone coefficient: 0.0003\n",
"cluster: 6 along coefficient: 0.0004\n",
"cluster: 6 alors coefficient: 0.0009\n",
"cluster: 6 alphabet coefficient: 0.0003\n",
"cluster: 6 already coefficient: 0.0027\n",
"cluster: 6 als coefficient: 0.0003\n",
"cluster: 6 also coefficient: 0.0031\n",
"cluster: 6 alta coefficient: 0.0002\n",
"cluster: 6 alternative coefficient: 0.0003\n",
"cluster: 6 although coefficient: 0.0003\n",
"cluster: 6 altindis coefficient: 0.0003\n",
"cluster: 6 alto coefficient: 0.0004\n",
"cluster: 6 altri coefficient: 0.0005\n",
"cluster: 6 alumnos coefficient: 0.0006\n",
"cluster: 6 alumnxs coefficient: 0.0004\n",
"cluster: 6 alvarez coefficient: 0.0005\n",
"cluster: 6 always coefficient: 0.0011\n",
"cluster: 6 amazing coefficient: 0.0013\n",
"cluster: 6 amb coefficient: 0.0006\n",
"cluster: 6 ambulancias coefficient: 0.0004\n",
"cluster: 6 amenaza coefficient: 0.0004\n",
"cluster: 6 america coefficient: 0.0018\n",
"cluster: 6 american coefficient: 0.0026\n",
"cluster: 6 americans coefficient: 0.0033\n",
"cluster: 6 amici coefficient: 0.0002\n",
"cluster: 6 amid coefficient: 0.0030\n",
"cluster: 6 amiga coefficient: 0.0004\n",
"cluster: 6 amigo coefficient: 0.0004\n",
"cluster: 6 amloelfracasopresidencial coefficient: 0.0003\n",
"cluster: 6 amlotriunfopresidencial coefficient: 0.0003\n",
"cluster: 6 among coefficient: 0.0009\n",
"cluster: 6 amor coefficient: 0.0011\n",
"cluster: 6 ana coefficient: 0.0010\n",
"cluster: 6 analysis coefficient: 0.0010\n",
"cluster: 6 anau coefficient: 0.0007\n",
"cluster: 6 ancestral coefficient: 0.0006\n",
"cluster: 6 ancgarantiadepaz coefficient: 0.0004\n",
"cluster: 6 anche coefficient: 0.0002\n",
"cluster: 6 andaluza coefficient: 0.0005\n",
"cluster: 6 andan coefficient: 0.0006\n",
"cluster: 6 andr coefficient: 0.0003\n",
"cluster: 6 andratuttobene coefficient: 0.0003\n",
"cluster: 6 android coefficient: 0.0003\n",
"cluster: 6 andy coefficient: 0.0006\n",
"cluster: 6 ang coefficient: 0.0016\n",
"cluster: 6 angelamerkel coefficient: 0.0003\n",
"cluster: 6 ani coefficient: 0.0003\n",
"cluster: 6 anlatmaya coefficient: 0.0003\n",
"cluster: 6 anni coefficient: 0.0003\n",
"cluster: 6 annonc coefficient: 0.0003\n",
"cluster: 6 announced coefficient: 0.0009\n",
"cluster: 6 announcement coefficient: 0.0011\n",
"cluster: 6 announces coefficient: 0.0009\n",
"cluster: 6 annul coefficient: 0.0007\n",
"cluster: 6 anoche coefficient: 0.0003\n",
"cluster: 6 another coefficient: 0.0015\n",
"cluster: 6 ans coefficient: 0.0009\n",
"cluster: 6 ansa coefficient: 0.0003\n",
"cluster: 6 answer coefficient: 0.0003\n",
"cluster: 6 answers coefficient: 0.0007\n",
"cluster: 6 antecedentes coefficient: 0.0004\n",
"cluster: 6 anteriores coefficient: 0.0004\n",
"cluster: 6 anthony coefficient: 0.0007\n",
"cluster: 6 anti coefficient: 0.0007\n",
"cluster: 6 antibacterial coefficient: 0.0005\n",
"cluster: 6 anticuerpos coefficient: 0.0003\n",
"cluster: 6 antidote coefficient: 0.0009\n",
"cluster: 6 antipaquetazo coefficient: 0.0004\n",
"cluster: 6 antonio coefficient: 0.0003\n",
"cluster: 6 anunciar coefficient: 0.0003\n",
"cluster: 6 anuncio coefficient: 0.0004\n",
"cluster: 6 anybody coefficient: 0.0004\n",
"cluster: 6 anyone coefficient: 0.0006\n",
"cluster: 6 anything coefficient: 0.0003\n",
"cluster: 6 anyway coefficient: 0.0006\n",
"cluster: 6 ap coefficient: 0.0011\n",
"cluster: 6 apa coefficient: 0.0004\n",
"cluster: 6 apeur coefficient: 0.0006\n",
"cluster: 6 aplazamiento coefficient: 0.0003\n",
"cluster: 6 aplica coefficient: 0.0004\n",
"cluster: 6 aplicaci coefficient: 0.0004\n",
"cluster: 6 aplican coefficient: 0.0003\n",
"cluster: 6 apocalypse coefficient: 0.0004\n",
"cluster: 6 apocalyptic coefficient: 0.0004\n",
"cluster: 6 apologize coefficient: 0.0004\n",
"cluster: 6 app coefficient: 0.0009\n",
"cluster: 6 apparent coefficient: 0.0004\n",
"cluster: 6 apparently coefficient: 0.0006\n",
"cluster: 6 apparition coefficient: 0.0003\n",
"cluster: 6 appeal coefficient: 0.0003\n",
"cluster: 6 appears coefficient: 0.0007\n",
"cluster: 6 appelle coefficient: 0.0003\n",
"cluster: 6 application coefficient: 0.0003\n",
"cluster: 6 applied coefficient: 0.0004\n",
"cluster: 6 approach coefficient: 0.0011\n",
"cluster: 6 approaches coefficient: 0.0004\n",
"cluster: 6 approval coefficient: 0.0007\n",
"cluster: 6 approve coefficient: 0.0004\n",
"cluster: 6 apr coefficient: 0.0003\n",
"cluster: 6 april coefficient: 0.0012\n",
"cluster: 6 apruebe coefficient: 0.0003\n",
"cluster: 6 aqu coefficient: 0.0028\n",
"cluster: 6 aquest coefficient: 0.0004\n",
"cluster: 6 aquietplace coefficient: 0.0007\n",
"cluster: 6 aquietplacepartii coefficient: 0.0007\n",
"cluster: 6 aquitaine coefficient: 0.0003\n",
"cluster: 6 arab coefficient: 0.0004\n",
"cluster: 6 aras coefficient: 0.0004\n",
"cluster: 6 arbeit coefficient: 0.0003\n",
"cluster: 6 archaic coefficient: 0.0004\n",
"cluster: 6 arcobaleno coefficient: 0.0003\n",
"cluster: 6 area coefficient: 0.0004\n",
"cluster: 6 areas coefficient: 0.0003\n",
"cluster: 6 argentina coefficient: 0.0033\n",
"cluster: 6 argue coefficient: 0.0004\n",
"cluster: 6 ariannalp coefficient: 0.0007\n",
"cluster: 6 arkansas coefficient: 0.0008\n",
"cluster: 6 arm coefficient: 0.0011\n",
"cluster: 6 armemos coefficient: 0.0004\n",
"cluster: 6 army coefficient: 0.0020\n",
"cluster: 6 around coefficient: 0.0029\n",
"cluster: 6 arr coefficient: 0.0003\n",
"cluster: 6 arrangements coefficient: 0.0003\n",
"cluster: 6 arrasaron coefficient: 0.0003\n",
"cluster: 6 arrestan coefficient: 0.0005\n",
"cluster: 6 arriv coefficient: 0.0006\n",
"cluster: 6 arrivals coefficient: 0.0004\n",
"cluster: 6 arrive coefficient: 0.0003\n",
"cluster: 6 arrived coefficient: 0.0008\n",
"cluster: 6 ars coefficient: 0.0003\n",
"cluster: 6 arsenal coefficient: 0.0003\n",
"cluster: 6 arte coefficient: 0.0005\n",
"cluster: 6 article coefficient: 0.0012\n",
"cluster: 6 artificial coefficient: 0.0004\n",
"cluster: 6 arvind coefficient: 0.0003\n",
"cluster: 6 asia coefficient: 0.0005\n",
"cluster: 6 asian coefficient: 0.0013\n",
"cluster: 6 asians coefficient: 0.0004\n",
"cluster: 6 asisten coefficient: 0.0004\n",
"cluster: 6 asistir coefficient: 0.0004\n",
"cluster: 6 ask coefficient: 0.0006\n",
"cluster: 6 asked coefficient: 0.0003\n",
"cluster: 6 asking coefficient: 0.0012\n",
"cluster: 6 asks coefficient: 0.0004\n",
"cluster: 6 aspetta coefficient: 0.0002\n",
"cluster: 6 assange coefficient: 0.0007\n",
"cluster: 6 assembly coefficient: 0.0004\n",
"cluster: 6 assessment coefficient: 0.0007\n",
"cluster: 6 assistance coefficient: 0.0014\n",
"cluster: 6 assisted coefficient: 0.0003\n",
"cluster: 6 assur coefficient: 0.0003\n",
"cluster: 6 assustador coefficient: 0.0004\n",
"cluster: 6 asthma coefficient: 0.0003\n",
"cluster: 6 astral coefficient: 0.0009\n",
"cluster: 6 asunci coefficient: 0.0004\n",
"cluster: 6 asusta coefficient: 0.0004\n",
"cluster: 6 asustar coefficient: 0.0004\n",
"cluster: 6 asx coefficient: 0.0004\n",
"cluster: 6 asymptomatic coefficient: 0.0004\n",
"cluster: 6 atenci coefficient: 0.0004\n",
"cluster: 6 athawale coefficient: 0.0004\n",
"cluster: 6 atheism coefficient: 0.0008\n",
"cluster: 6 atlantic coefficient: 0.0003\n",
"cluster: 6 atlantico coefficient: 0.0005\n",
"cluster: 6 atlee coefficient: 0.0003\n",
"cluster: 6 atraviesa coefficient: 0.0004\n",
"cluster: 6 attack coefficient: 0.0006\n",
"cluster: 6 attacks coefficient: 0.0007\n",
"cluster: 6 attali coefficient: 0.0003\n",
"cluster: 6 attempt coefficient: 0.0003\n",
"cluster: 6 attempting coefficient: 0.0004\n",
"cluster: 6 attended coefficient: 0.0003\n",
"cluster: 6 attention coefficient: 0.0011\n",
"cluster: 6 attentionn coefficient: 0.0003\n",
"cluster: 6 attribution coefficient: 0.0004\n",
"cluster: 6 atualiza coefficient: 0.0003\n",
"cluster: 6 aucun coefficient: 0.0003\n",
"cluster: 6 audios coefficient: 0.0004\n",
"cluster: 6 aumenta coefficient: 0.0008\n",
"cluster: 6 aumentar coefficient: 0.0003\n",
"cluster: 6 aumento coefficient: 0.0003\n",
"cluster: 6 aunque coefficient: 0.0003\n",
"cluster: 6 aus coefficient: 0.0004\n",
"cluster: 6 ausbiz coefficient: 0.0004\n",
"cluster: 6 auspol coefficient: 0.0013\n",
"cluster: 6 ausreichen coefficient: 0.0003\n",
"cluster: 6 aussi coefficient: 0.0006\n",
"cluster: 6 australia coefficient: 0.0011\n",
"cluster: 6 australians coefficient: 0.0004\n",
"cluster: 6 authority coefficient: 0.0007\n",
"cluster: 6 authorize coefficient: 0.0006\n",
"cluster: 6 auto coefficient: 0.0005\n",
"cluster: 6 autopsies coefficient: 0.0004\n",
"cluster: 6 autoridades coefficient: 0.0003\n",
"cluster: 6 autoris coefficient: 0.0003\n",
"cluster: 6 autorit coefficient: 0.0003\n",
"cluster: 6 autres coefficient: 0.0006\n",
"cluster: 6 auvergne coefficient: 0.0003\n",
"cluster: 6 available coefficient: 0.0003\n",
"cluster: 6 avant coefficient: 0.0003\n",
"cluster: 6 aviaci coefficient: 0.0004\n",
"cluster: 6 aviar coefficient: 0.0003\n",
"cluster: 6 avisa coefficient: 0.0003\n",
"cluster: 6 avoid coefficient: 0.0017\n",
"cluster: 6 avoiding coefficient: 0.0004\n",
"cluster: 6 avoir coefficient: 0.0003\n",
"cluster: 6 avui coefficient: 0.0003\n",
"cluster: 6 awake coefficient: 0.0004\n",
"cluster: 6 award coefficient: 0.0004\n",
"cluster: 6 aware coefficient: 0.0007\n",
"cluster: 6 away coefficient: 0.0006\n",
"cluster: 6 awful coefficient: 0.0004\n",
"cluster: 6 awkward coefficient: 0.0005\n",
"cluster: 6 ayer coefficient: 0.0003\n",
"cluster: 6 ayuda coefficient: 0.0007\n",
"cluster: 6 azul coefficient: 0.0006\n",
"cluster: 6 baca coefficient: 0.0002\n",
"cluster: 6 bachelorette coefficient: 0.0004\n",
"cluster: 6 bachelorfinale coefficient: 0.0005\n",
"cluster: 6 bacically coefficient: 0.0004\n",
"cluster: 6 back coefficient: 0.0020\n",
"cluster: 6 backtothetable coefficient: 0.0006\n",
"cluster: 6 bad coefficient: 0.0009\n",
"cluster: 6 bag coefficient: 0.0006\n",
"cluster: 6 bahwa coefficient: 0.0003\n",
"cluster: 6 bail coefficient: 0.0003\n",
"cluster: 6 bajarte coefficient: 0.0005\n",
"cluster: 6 bajo coefficient: 0.0007\n",
"cluster: 6 bak coefficient: 0.0003\n",
"cluster: 6 bakan coefficient: 0.0006\n",
"cluster: 6 bala coefficient: 0.0002\n",
"cluster: 6 ballot coefficient: 0.0004\n",
"cluster: 6 baloncesto coefficient: 0.0005\n",
"cluster: 6 baltimore coefficient: 0.0006\n",
"cluster: 6 ban coefficient: 0.0013\n",
"cluster: 6 bana coefficient: 0.0003\n",
"cluster: 6 banalidades coefficient: 0.0003\n",
"cluster: 6 banco coefficient: 0.0003\n",
"cluster: 6 band coefficient: 0.0003\n",
"cluster: 6 banjir coefficient: 0.0002\n",
"cluster: 6 bank coefficient: 0.0008\n",
"cluster: 6 banks coefficient: 0.0007\n",
"cluster: 6 banned coefficient: 0.0007\n",
"cluster: 6 banning coefficient: 0.0004\n",
"cluster: 6 barbarin coefficient: 0.0005\n",
"cluster: 6 barcanapoli coefficient: 0.0004\n",
"cluster: 6 barcelona coefficient: 0.0008\n",
"cluster: 6 baros coefficient: 0.0003\n",
"cluster: 6 barranquilla coefficient: 0.0005\n",
"cluster: 6 barrasser coefficient: 0.0003\n",
"cluster: 6 barrios coefficient: 0.0003\n",
"cluster: 6 base coefficient: 0.0004\n",
"cluster: 6 based coefficient: 0.0012\n",
"cluster: 6 bash coefficient: 0.0003\n",
"cluster: 6 basketball coefficient: 0.0015\n",
"cluster: 6 batalla coefficient: 0.0007\n",
"cluster: 6 batallas coefficient: 0.0004\n",
"cluster: 6 batch coefficient: 0.0004\n",
"cluster: 6 bathrooms coefficient: 0.0006\n",
"cluster: 6 battle coefficient: 0.0005\n",
"cluster: 6 bbc coefficient: 0.0009\n",
"cluster: 6 bbcnewsday coefficient: 0.0007\n",
"cluster: 6 bc coefficient: 0.0003\n",
"cluster: 6 bce coefficient: 0.0004\n",
"cluster: 6 bear coefficient: 0.0004\n",
"cluster: 6 beat coefficient: 0.0003\n",
"cluster: 6 beating coefficient: 0.0003\n",
"cluster: 6 become coefficient: 0.0010\n",
"cluster: 6 becomes coefficient: 0.0004\n",
"cluster: 6 becoming coefficient: 0.0005\n",
"cluster: 6 bed coefficient: 0.0007\n",
"cluster: 6 beer coefficient: 0.0006\n",
"cluster: 6 befoot coefficient: 0.0003\n",
"cluster: 6 began coefficient: 0.0009\n",
"cluster: 6 begging coefficient: 0.0006\n",
"cluster: 6 begin coefficient: 0.0003\n",
"cluster: 6 begun coefficient: 0.0003\n",
"cluster: 6 behaving coefficient: 0.0004\n",
"cluster: 6 beijing coefficient: 0.0003\n",
"cluster: 6 beinsports coefficient: 0.0005\n",
"cluster: 6 belangrijk coefficient: 0.0003\n",
"cluster: 6 belgio coefficient: 0.0002\n",
"cluster: 6 belgique coefficient: 0.0003\n",
"cluster: 6 believe coefficient: 0.0010\n",
"cluster: 6 believes coefficient: 0.0003\n",
"cluster: 6 believing coefficient: 0.0008\n",
"cluster: 6 belong coefficient: 0.0004\n",
"cluster: 6 belongs coefficient: 0.0004\n",
"cluster: 6 bence coefficient: 0.0003\n",
"cluster: 6 benchmark coefficient: 0.0004\n",
"cluster: 6 bene coefficient: 0.0003\n",
"cluster: 6 benvenuto coefficient: 0.0004\n",
"cluster: 6 ber coefficient: 0.0006\n",
"cluster: 6 bermakna coefficient: 0.0003\n",
"cluster: 6 bernie coefficient: 0.0019\n",
"cluster: 6 berniebeatstrump coefficient: 0.0003\n",
"cluster: 6 berniesanders coefficient: 0.0010\n",
"cluster: 6 berniesurge coefficient: 0.0008\n",
"cluster: 6 berreta coefficient: 0.0003\n",
"cluster: 6 berstellen coefficient: 0.0003\n",
"cluster: 6 besafeitsreal coefficient: 0.0003\n",
"cluster: 6 besafeoutthere coefficient: 0.0003\n",
"cluster: 6 beseffen coefficient: 0.0003\n",
"cluster: 6 besoin coefficient: 0.0003\n",
"cluster: 6 best coefficient: 0.0014\n",
"cluster: 6 bet coefficient: 0.0004\n",
"cluster: 6 better coefficient: 0.0013\n",
"cluster: 6 bho coefficient: 0.0004\n",
"cluster: 6 bi coefficient: 0.0003\n",
"cluster: 6 bible coefficient: 0.0006\n",
"cluster: 6 bid coefficient: 0.0008\n",
"cluster: 6 biden coefficient: 0.0015\n",
"cluster: 6 bien coefficient: 0.0005\n",
"cluster: 6 big coefficient: 0.0012\n",
"cluster: 6 bigdata coefficient: 0.0004\n",
"cluster: 6 biggest coefficient: 0.0006\n",
"cluster: 6 bigoted coefficient: 0.0004\n",
"cluster: 6 bilateral coefficient: 0.0003\n",
"cluster: 6 bilgilendiren coefficient: 0.0003\n",
"cluster: 6 bilgilere coefficient: 0.0003\n",
"cluster: 6 bilgileri coefficient: 0.0003\n",
"cluster: 6 bill coefficient: 0.0012\n",
"cluster: 6 billing coefficient: 0.0004\n",
"cluster: 6 billionaires coefficient: 0.0003\n",
"cluster: 6 billones coefficient: 0.0003\n",
"cluster: 6 bills coefficient: 0.0004\n",
"cluster: 6 bio coefficient: 0.0008\n",
"cluster: 6 biogen coefficient: 0.0007\n",
"cluster: 6 biological coefficient: 0.0003\n",
"cluster: 6 birdland coefficient: 0.0006\n",
"cluster: 6 birli coefficient: 0.0003\n",
"cluster: 6 birlik coefficient: 0.0003\n",
"cluster: 6 birth coefficient: 0.0003\n",
"cluster: 6 bitos coefficient: 0.0003\n",
"cluster: 6 bits coefficient: 0.0003\n",
"cluster: 6 blame coefficient: 0.0015\n",
"cluster: 6 blica coefficient: 0.0012\n",
"cluster: 6 blicas coefficient: 0.0004\n",
"cluster: 6 blicos coefficient: 0.0010\n",
"cluster: 6 bloque coefficient: 0.0003\n",
"cluster: 6 bloqueo coefficient: 0.0003\n",
"cluster: 6 blow coefficient: 0.0004\n",
"cluster: 6 blows coefficient: 0.0005\n",
"cluster: 6 blue coefficient: 0.0003\n",
"cluster: 6 blunt coefficient: 0.0003\n",
"cluster: 6 board coefficient: 0.0003\n",
"cluster: 6 bob coefficient: 0.0003\n",
"cluster: 6 boca coefficient: 0.0007\n",
"cluster: 6 bod coefficient: 0.0003\n",
"cluster: 6 body coefficient: 0.0006\n",
"cluster: 6 bola coefficient: 0.0008\n",
"cluster: 6 bolivariano coefficient: 0.0004\n",
"cluster: 6 boliviadigital coefficient: 0.0006\n",
"cluster: 6 bolsas coefficient: 0.0003\n",
"cluster: 6 bolsonaro coefficient: 0.0005\n",
"cluster: 6 bomba coefficient: 0.0005\n",
"cluster: 6 bombes coefficient: 0.0003\n",
"cluster: 6 bonnie coefficient: 0.0010\n",
"cluster: 6 booked coefficient: 0.0004\n",
"cluster: 6 bookings coefficient: 0.0003\n",
"cluster: 6 boom coefficient: 0.0007\n",
"cluster: 6 borba coefficient: 0.0003\n",
"cluster: 6 bord coefficient: 0.0003\n",
"cluster: 6 border coefficient: 0.0009\n",
"cluster: 6 borders coefficient: 0.0010\n",
"cluster: 6 bored coefficient: 0.0003\n",
"cluster: 6 boris coefficient: 0.0012\n",
"cluster: 6 borisjohnson coefficient: 0.0004\n",
"cluster: 6 borsaitaliana coefficient: 0.0004\n",
"cluster: 6 botellas coefficient: 0.0003\n",
"cluster: 6 bottles coefficient: 0.0004\n",
"cluster: 6 bought coefficient: 0.0004\n",
"cluster: 6 boundaries coefficient: 0.0007\n",
"cluster: 6 bourgogne coefficient: 0.0003\n",
"cluster: 6 bout coefficient: 0.0003\n",
"cluster: 6 bowl coefficient: 0.0003\n",
"cluster: 6 boy coefficient: 0.0007\n",
"cluster: 6 brabant coefficient: 0.0002\n",
"cluster: 6 brady coefficient: 0.0003\n",
"cluster: 6 bragging coefficient: 0.0005\n",
"cluster: 6 brain coefficient: 0.0011\n",
"cluster: 6 brand coefficient: 0.0003\n",
"cluster: 6 brasil coefficient: 0.0008\n",
"cluster: 6 brave coefficient: 0.0004\n",
"cluster: 6 bravely coefficient: 0.0004\n",
"cluster: 6 bravery coefficient: 0.0003\n",
"cluster: 6 brazilian coefficient: 0.0004\n",
"cluster: 6 breadth coefficient: 0.0003\n",
"cluster: 6 break coefficient: 0.0028\n",
"cluster: 6 breakdown coefficient: 0.0003\n",
"cluster: 6 breaking coefficient: 0.0048\n",
"cluster: 6 breakingnews coefficient: 0.0004\n",
"cluster: 6 breath coefficient: 0.0008\n",
"cluster: 6 breathe coefficient: 0.0003\n",
"cluster: 6 breathing coefficient: 0.0004\n",
"cluster: 6 bretagne coefficient: 0.0003\n",
"cluster: 6 brete coefficient: 0.0004\n",
"cluster: 6 brian coefficient: 0.0004\n",
"cluster: 6 briana coefficient: 0.0004\n",
"cluster: 6 brief coefficient: 0.0007\n",
"cluster: 6 briefing coefficient: 0.0010\n",
"cluster: 6 bring coefficient: 0.0011\n",
"cluster: 6 bringing coefficient: 0.0007\n",
"cluster: 6 brit coefficient: 0.0011\n",
"cluster: 6 britain coefficient: 0.0006\n",
"cluster: 6 british coefficient: 0.0014\n",
"cluster: 6 bro coefficient: 0.0004\n",
"cluster: 6 broad coefficient: 0.0004\n",
"cluster: 6 broadcast coefficient: 0.0004\n",
"cluster: 6 broke coefficient: 0.0003\n",
"cluster: 6 brote coefficient: 0.0008\n",
"cluster: 6 broward coefficient: 0.0006\n",
"cluster: 6 brutal coefficient: 0.0004\n",
"cluster: 6 bs coefficient: 0.0005\n",
"cluster: 6 bu coefficient: 0.0007\n",
"cluster: 6 buck coefficient: 0.0004\n",
"cluster: 6 budcars coefficient: 0.0003\n",
"cluster: 6 budget coefficient: 0.0004\n",
"cluster: 6 buildings coefficient: 0.0004\n",
"cluster: 6 builds coefficient: 0.0005\n",
"cluster: 6 built coefficient: 0.0012\n",
"cluster: 6 buktikan coefficient: 0.0003\n",
"cluster: 6 bulamad coefficient: 0.0003\n",
"cluster: 6 bull coefficient: 0.0005\n",
"cluster: 6 bully coefficient: 0.0003\n",
"cluster: 6 bunch coefficient: 0.0003\n",
"cluster: 6 bungled coefficient: 0.0008\n",
"cluster: 6 burlington coefficient: 0.0004\n",
"cluster: 6 burning coefficient: 0.0008\n",
"cluster: 6 bus coefficient: 0.0005\n",
"cluster: 6 busca coefficient: 0.0003\n",
"cluster: 6 business coefficient: 0.0004\n",
"cluster: 6 businesses coefficient: 0.0013\n",
"cluster: 6 butt coefficient: 0.0003\n",
"cluster: 6 buurlanden coefficient: 0.0003\n",
"cluster: 6 buy coefficient: 0.0004\n",
"cluster: 6 buying coefficient: 0.0015\n",
"cluster: 6 buzyn coefficient: 0.0003\n",
"cluster: 6 ca coefficient: 0.0008\n",
"cluster: 6 cabe coefficient: 0.0003\n",
"cluster: 6 cabroooooooon coefficient: 0.0014\n",
"cluster: 6 cada coefficient: 0.0017\n",
"cluster: 6 cadena coefficient: 0.0010\n",
"cluster: 6 cadenas coefficient: 0.0004\n",
"cluster: 6 cadetes coefficient: 0.0004\n",
"cluster: 6 cagnolini coefficient: 0.0002\n",
"cluster: 6 cai coefficient: 0.0003\n",
"cluster: 6 caigamos coefficient: 0.0003\n",
"cluster: 6 cal coefficient: 0.0003\n",
"cluster: 6 calais coefficient: 0.0003\n",
"cluster: 6 calgary coefficient: 0.0003\n",
"cluster: 6 california coefficient: 0.0008\n",
"cluster: 6 call coefficient: 0.0019\n",
"cluster: 6 called coefficient: 0.0006\n",
"cluster: 6 calling coefficient: 0.0008\n",
"cluster: 6 callous coefficient: 0.0003\n",
"cluster: 6 calls coefficient: 0.0007\n",
"cluster: 6 calm coefficient: 0.0008\n",
"cluster: 6 calma coefficient: 0.0012\n",
"cluster: 6 calming coefficient: 0.0004\n",
"cluster: 6 calmly coefficient: 0.0008\n",
"cluster: 6 camaradas coefficient: 0.0004\n",
"cluster: 6 cambio coefficient: 0.0008\n",
"cluster: 6 camden coefficient: 0.0004\n",
"cluster: 6 came coefficient: 0.0014\n",
"cluster: 6 camp coefficient: 0.0004\n",
"cluster: 6 campaign coefficient: 0.0015\n",
"cluster: 6 campora coefficient: 0.0004\n",
"cluster: 6 campus coefficient: 0.0010\n",
"cluster: 6 campuses coefficient: 0.0003\n",
"cluster: 6 canada coefficient: 0.0008\n",
"cluster: 6 canadians coefficient: 0.0004\n",
"cluster: 6 cancel coefficient: 0.0016\n",
"cluster: 6 cancela coefficient: 0.0006\n",
"cluster: 6 cancelaci coefficient: 0.0005\n",
"cluster: 6 cancelado coefficient: 0.0006\n",
"cluster: 6 cancelan coefficient: 0.0008\n",
"cluster: 6 canceled coefficient: 0.0008\n",
"cluster: 6 canceleverything coefficient: 0.0006\n",
"cluster: 6 canceleverythingnow coefficient: 0.0006\n",
"cluster: 6 canceling coefficient: 0.0011\n",
"cluster: 6 cancelled coefficient: 0.0003\n",
"cluster: 6 cancelling coefficient: 0.0004\n",
"cluster: 6 candidates coefficient: 0.0006\n",
"cluster: 6 candidature coefficient: 0.0003\n",
"cluster: 6 canile coefficient: 0.0002\n",
"cluster: 6 cannabis coefficient: 0.0003\n",
"cluster: 6 cannabismedicinal coefficient: 0.0003\n",
"cluster: 6 cannot coefficient: 0.0006\n",
"cluster: 6 cant coefficient: 0.0005\n",
"cluster: 6 cantidad coefficient: 0.0004\n",
"cluster: 6 capacitan coefficient: 0.0004\n",
"cluster: 6 capacity coefficient: 0.0006\n",
"cluster: 6 capitalist coefficient: 0.0003\n",
"cluster: 6 capitalista coefficient: 0.0006\n",
"cluster: 6 capitol coefficient: 0.0004\n",
"cluster: 6 capitolio coefficient: 0.0004\n",
"cluster: 6 caracas coefficient: 0.0004\n",
"cluster: 6 card coefficient: 0.0004\n",
"cluster: 6 cardi coefficient: 0.0009\n",
"cluster: 6 cardib coefficient: 0.0005\n",
"cluster: 6 cardiovascular coefficient: 0.0004\n",
"cluster: 6 care coefficient: 0.0020\n",
"cluster: 6 career coefficient: 0.0004\n",
"cluster: 6 careering coefficient: 0.0003\n",
"cluster: 6 careful coefficient: 0.0003\n",
"cluster: 6 caregivers coefficient: 0.0004\n",
"cluster: 6 carelessness coefficient: 0.0003\n",
"cluster: 6 carence coefficient: 0.0004\n",
"cluster: 6 cares coefficient: 0.0005\n",
"cluster: 6 cargo coefficient: 0.0004\n",
"cluster: 6 carnaval coefficient: 0.0007\n",
"cluster: 6 carnavales coefficient: 0.0005\n",
"cluster: 6 carrera coefficient: 0.0003\n",
"cluster: 6 carries coefficient: 0.0004\n",
"cluster: 6 cas coefficient: 0.0011\n",
"cluster: 6 casa coefficient: 0.0014\n",
"cluster: 6 casas coefficient: 0.0007\n",
"cluster: 6 case coefficient: 0.0021\n",
"cluster: 6 cases coefficient: 0.0087\n",
"cluster: 6 cash coefficient: 0.0003\n",
"cluster: 6 caso coefficient: 0.0019\n",
"cluster: 6 casos coefficient: 0.0064\n",
"cluster: 6 cassa coefficient: 0.0004\n",
"cluster: 6 casually coefficient: 0.0003\n",
"cluster: 6 catalana coefficient: 0.0004\n",
"cluster: 6 catar coefficient: 0.0005\n",
"cluster: 6 catastr coefficient: 0.0004\n",
"cluster: 6 catch coefficient: 0.0004\n",
"cluster: 6 catching coefficient: 0.0005\n",
"cluster: 6 caught coefficient: 0.0010\n",
"cluster: 6 causa coefficient: 0.0003\n",
"cluster: 6 causando coefficient: 0.0005\n",
"cluster: 6 cause coefficient: 0.0018\n",
"cluster: 6 caused coefficient: 0.0012\n",
"cluster: 6 causing coefficient: 0.0003\n",
"cluster: 6 caution coefficient: 0.0003\n",
"cluster: 6 cay coefficient: 0.0004\n",
"cluster: 6 cazzo coefficient: 0.0004\n",
"cluster: 6 cbdhealth coefficient: 0.0003\n",
"cluster: 6 cc coefficient: 0.0017\n",
"cluster: 6 ccot coefficient: 0.0004\n",
"cluster: 6 ccp coefficient: 0.0004\n",
"cluster: 6 ccpvirus coefficient: 0.0005\n",
"cluster: 6 cdc coefficient: 0.0018\n",
"cluster: 6 cdmx coefficient: 0.0004\n",
"cluster: 6 cdnpoli coefficient: 0.0004\n",
"cluster: 6 cedillo coefficient: 0.0003\n",
"cluster: 6 celebra coefficient: 0.0003\n",
"cluster: 6 celebran coefficient: 0.0003\n",
"cluster: 6 celebrities coefficient: 0.0006\n",
"cluster: 6 cell coefficient: 0.0004\n",
"cluster: 6 celular coefficient: 0.0004\n",
"cluster: 6 censors coefficient: 0.0004\n",
"cluster: 6 censure coefficient: 0.0003\n",
"cluster: 6 center coefficient: 0.0015\n",
"cluster: 6 centinaia coefficient: 0.0003\n",
"cluster: 6 central coefficient: 0.0004\n",
"cluster: 6 centre coefficient: 0.0006\n",
"cluster: 6 centro coefficient: 0.0006\n",
"cluster: 6 century coefficient: 0.0003\n",
"cluster: 6 ceo coefficient: 0.0010\n",
"cluster: 6 cepas coefficient: 0.0005\n",
"cluster: 6 cercanos coefficient: 0.0005\n",
"cluster: 6 cerco coefficient: 0.0004\n",
"cluster: 6 cero coefficient: 0.0003\n",
"cluster: 6 cerr coefficient: 0.0003\n",
"cluster: 6 cerrada coefficient: 0.0009\n",
"cluster: 6 cerrado coefficient: 0.0003\n",
"cluster: 6 cerrados coefficient: 0.0009\n",
"cluster: 6 cerrar coefficient: 0.0003\n",
"cluster: 6 certain coefficient: 0.0003\n",
"cluster: 6 cet coefficient: 0.0003\n",
"cluster: 6 cfbtrenton coefficient: 0.0004\n",
"cluster: 6 chaco coefficient: 0.0004\n",
"cluster: 6 chadha coefficient: 0.0004\n",
"cluster: 6 challenging coefficient: 0.0003\n",
"cluster: 6 championship coefficient: 0.0004\n",
"cluster: 6 chance coefficient: 0.0013\n",
"cluster: 6 change coefficient: 0.0010\n",
"cluster: 6 changed coefficient: 0.0004\n",
"cluster: 6 changes coefficient: 0.0009\n",
"cluster: 6 changing coefficient: 0.0007\n",
"cluster: 6 chanoloco coefficient: 0.0005\n",
"cluster: 6 chaos coefficient: 0.0006\n",
"cluster: 6 chapp coefficient: 0.0004\n",
"cluster: 6 characterized coefficient: 0.0007\n",
"cluster: 6 charge coefficient: 0.0006\n",
"cluster: 6 charged coefficient: 0.0004\n",
"cluster: 6 charlas coefficient: 0.0003\n",
"cluster: 6 chars coefficient: 0.0004\n",
"cluster: 6 chase coefficient: 0.0005\n",
"cluster: 6 che coefficient: 0.0020\n",
"cluster: 6 cheap coefficient: 0.0003\n",
"cluster: 6 check coefficient: 0.0021\n",
"cluster: 6 checking coefficient: 0.0004\n",
"cluster: 6 cheesesteak coefficient: 0.0005\n",
"cluster: 6 chef coefficient: 0.0003\n",
"cluster: 6 chequeen coefficient: 0.0004\n",
"cluster: 6 chequeo coefficient: 0.0004\n",
"cluster: 6 cher coefficient: 0.0006\n",
"cluster: 6 chernobyl coefficient: 0.0004\n",
"cluster: 6 chez coefficient: 0.0004\n",
"cluster: 6 chiapas coefficient: 0.0004\n",
"cluster: 6 chicken coefficient: 0.0004\n",
"cluster: 6 chief coefficient: 0.0023\n",
"cluster: 6 child coefficient: 0.0004\n",
"cluster: 6 children coefficient: 0.0007\n",
"cluster: 6 chile coefficient: 0.0011\n",
"cluster: 6 chilling coefficient: 0.0007\n",
"cluster: 6 china coefficient: 0.0088\n",
"cluster: 6 chinavirus coefficient: 0.0006\n",
"cluster: 6 chine coefficient: 0.0009\n",
"cluster: 6 chinese coefficient: 0.0031\n",
"cluster: 6 chinos coefficient: 0.0006\n",
"cluster: 6 chiringuito coefficient: 0.0004\n",
"cluster: 6 chiudete coefficient: 0.0008\n",
"cluster: 6 chiudetela coefficient: 0.0004\n",
"cluster: 6 chongqing coefficient: 0.0004\n",
"cluster: 6 choose coefficient: 0.0013\n",
"cluster: 6 christian coefficient: 0.0008\n",
"cluster: 6 chu coefficient: 0.0015\n",
"cluster: 6 chucktheschmuck coefficient: 0.0004\n",
"cluster: 6 chui coefficient: 0.0008\n",
"cluster: 6 ci coefficient: 0.0007\n",
"cluster: 6 cia coefficient: 0.0003\n",
"cluster: 6 cierra coefficient: 0.0003\n",
"cluster: 6 cierran coefficient: 0.0010\n",
"cluster: 6 cierre coefficient: 0.0006\n",
"cluster: 6 cierres coefficient: 0.0003\n",
"cluster: 6 cifras coefficient: 0.0003\n",
"cluster: 6 cil coefficient: 0.0003\n",
"cluster: 6 cina coefficient: 0.0003\n",
"cluster: 6 cinco coefficient: 0.0004\n",
"cluster: 6 cinema coefficient: 0.0003\n",
"cluster: 6 cinquantaine coefficient: 0.0004\n",
"cluster: 6 circulaci coefficient: 0.0004\n",
"cluster: 6 circulait coefficient: 0.0003\n",
"cluster: 6 circulando coefficient: 0.0003\n",
"cluster: 6 citizen coefficient: 0.0004\n",
"cluster: 6 citizens coefficient: 0.0003\n",
"cluster: 6 city coefficient: 0.0027\n",
"cluster: 6 ciudad coefficient: 0.0010\n",
"cluster: 6 ciudadanos coefficient: 0.0012\n",
"cluster: 6 ciudades coefficient: 0.0006\n",
"cluster: 6 civilizaci coefficient: 0.0009\n",
"cluster: 6 cl coefficient: 0.0004\n",
"cluster: 6 claimed coefficient: 0.0003\n",
"cluster: 6 claiming coefficient: 0.0004\n",
"cluster: 6 claims coefficient: 0.0005\n",
"cluster: 6 clamor coefficient: 0.0004\n",
"cluster: 6 claras coefficient: 0.0004\n",
"cluster: 6 claro coefficient: 0.0003\n",
"cluster: 6 clases coefficient: 0.0021\n",
"cluster: 6 class coefficient: 0.0005\n",
"cluster: 6 classes coefficient: 0.0013\n",
"cluster: 6 claudia coefficient: 0.0004\n",
"cluster: 6 clean coefficient: 0.0006\n",
"cluster: 6 cleaned coefficient: 0.0004\n",
"cluster: 6 cleaning coefficient: 0.0003\n",
"cluster: 6 cleanliness coefficient: 0.0004\n",
"cluster: 6 clearer coefficient: 0.0003\n",
"cluster: 6 clearly coefficient: 0.0010\n",
"cluster: 6 cleric coefficient: 0.0003\n",
"cluster: 6 clerics coefficient: 0.0006\n",
"cluster: 6 cleveland coefficient: 0.0005\n",
"cluster: 6 click coefficient: 0.0004\n",
"cluster: 6 clientes coefficient: 0.0004\n",
"cluster: 6 climatecrisis coefficient: 0.0004\n",
"cluster: 6 climax coefficient: 0.0003\n",
"cluster: 6 clinical coefficient: 0.0006\n",
"cluster: 6 clinically coefficient: 0.0004\n",
"cluster: 6 clip coefficient: 0.0004\n",
"cluster: 6 clippers coefficient: 0.0005\n",
"cluster: 6 clorox coefficient: 0.0003\n",
"cluster: 6 close coefficient: 0.0012\n",
"cluster: 6 closed coefficient: 0.0009\n",
"cluster: 6 closely coefficient: 0.0003\n",
"cluster: 6 closes coefficient: 0.0004\n",
"cluster: 6 closetheschool coefficient: 0.0003\n",
"cluster: 6 closetheschools coefficient: 0.0009\n",
"cluster: 6 closing coefficient: 0.0007\n",
"cluster: 6 club coefficient: 0.0003\n",
"cluster: 6 cm coefficient: 0.0004\n",
"cluster: 6 cnn coefficient: 0.0009\n",
"cluster: 6 co coefficient: 0.0003\n",
"cluster: 6 coachella coefficient: 0.0008\n",
"cluster: 6 coachellacancelled coefficient: 0.0014\n",
"cluster: 6 coahuila coefficient: 0.0004\n",
"cluster: 6 cobrameeting coefficient: 0.0004\n",
"cluster: 6 cobre coefficient: 0.0003\n",
"cluster: 6 cocina coefficient: 0.0004\n",
"cluster: 6 codo coefficient: 0.0004\n",
"cluster: 6 codogno coefficient: 0.0003\n",
"cluster: 6 codvid coefficient: 0.0016\n",
"cluster: 6 codvidespana coefficient: 0.0005\n",
"cluster: 6 cog coefficient: 0.0004\n",
"cluster: 6 coglione coefficient: 0.0003\n",
"cluster: 6 coherente coefficient: 0.0006\n",
"cluster: 6 cohorts coefficient: 0.0003\n",
"cluster: 6 cok coefficient: 0.0005\n",
"cluster: 6 colaps coefficient: 0.0003\n",
"cluster: 6 cold coefficient: 0.0003\n",
"cluster: 6 coles coefficient: 0.0005\n",
"cluster: 6 collapsing coefficient: 0.0004\n",
"cluster: 6 colle coefficient: 0.0004\n",
"cluster: 6 colleague coefficient: 0.0004\n",
"cluster: 6 colleagues coefficient: 0.0007\n",
"cluster: 6 collector coefficient: 0.0003\n",
"cluster: 6 college coefficient: 0.0016\n",
"cluster: 6 colleges coefficient: 0.0007\n",
"cluster: 6 colocan coefficient: 0.0005\n",
"cluster: 6 colombia coefficient: 0.0016\n",
"cluster: 6 colorando coefficient: 0.0003\n",
"cluster: 6 colors coefficient: 0.0003\n",
"cluster: 6 columbia coefficient: 0.0004\n",
"cluster: 6 colunas coefficient: 0.0003\n",
"cluster: 6 com coefficient: 0.0023\n",
"cluster: 6 combat coefficient: 0.0008\n",
"cluster: 6 combatir coefficient: 0.0004\n",
"cluster: 6 combatting coefficient: 0.0003\n",
"cluster: 6 combination coefficient: 0.0007\n",
"cluster: 6 combined coefficient: 0.0003\n",
"cluster: 6 come coefficient: 0.0028\n",
"cluster: 6 comedian coefficient: 0.0005\n",
"cluster: 6 comedy coefficient: 0.0006\n",
"cluster: 6 coment coefficient: 0.0003\n",
"cluster: 6 comenzaron coefficient: 0.0004\n",
"cluster: 6 comes coefficient: 0.0003\n",
"cluster: 6 cometa coefficient: 0.0004\n",
"cluster: 6 coming coefficient: 0.0003\n",
"cluster: 6 comme coefficient: 0.0003\n",
"cluster: 6 comment coefficient: 0.0003\n",
"cluster: 6 commentator coefficient: 0.0004\n",
"cluster: 6 comments coefficient: 0.0003\n",
"cluster: 6 commercial coefficient: 0.0006\n",
"cluster: 6 commission coefficient: 0.0004\n",
"cluster: 6 commit coefficient: 0.0003\n",
"cluster: 6 committee coefficient: 0.0003\n",
"cluster: 6 committing coefficient: 0.0004\n",
"cluster: 6 commodity coefficient: 0.0007\n",
"cluster: 6 common coefficient: 0.0003\n",
"cluster: 6 communiquer coefficient: 0.0003\n",
"cluster: 6 communism coefficient: 0.0008\n",
"cluster: 6 communist coefficient: 0.0005\n",
"cluster: 6 communists coefficient: 0.0005\n",
"cluster: 6 communities coefficient: 0.0003\n",
"cluster: 6 community coefficient: 0.0034\n",
"cluster: 6 compa coefficient: 0.0003\n",
"cluster: 6 companies coefficient: 0.0007\n",
"cluster: 6 company coefficient: 0.0014\n",
"cluster: 6 compared coefficient: 0.0004\n",
"cluster: 6 compares coefficient: 0.0004\n",
"cluster: 6 compartan coefficient: 0.0004\n",
"cluster: 6 comparto coefficient: 0.0003\n",
"cluster: 6 compatriotes coefficient: 0.0003\n",
"cluster: 6 compelling coefficient: 0.0004\n",
"cluster: 6 complacency coefficient: 0.0003\n",
"cluster: 6 complacent coefficient: 0.0003\n",
"cluster: 6 complaints coefficient: 0.0003\n",
"cluster: 6 complete coefficient: 0.0006\n",
"cluster: 6 completely coefficient: 0.0008\n",
"cluster: 6 complex coefficient: 0.0004\n",
"cluster: 6 complimenti coefficient: 0.0002\n",
"cluster: 6 compra coefficient: 0.0005\n",
"cluster: 6 comprar coefficient: 0.0004\n",
"cluster: 6 comprennent coefficient: 0.0003\n",
"cluster: 6 compte coefficient: 0.0003\n",
"cluster: 6 compulsivo coefficient: 0.0003\n",
"cluster: 6 comunicado coefficient: 0.0010\n",
"cluster: 6 comunitaria coefficient: 0.0004\n",
"cluster: 6 concede coefficient: 0.0003\n",
"cluster: 6 concentra coefficient: 0.0004\n",
"cluster: 6 concerns coefficient: 0.0020\n",
"cluster: 6 concertzalen coefficient: 0.0003\n",
"cluster: 6 concrete coefficient: 0.0004\n",
"cluster: 6 condition coefficient: 0.0003\n",
"cluster: 6 condividere coefficient: 0.0006\n",
"cluster: 6 conduct coefficient: 0.0004\n",
"cluster: 6 conference coefficient: 0.0013\n",
"cluster: 6 confianza coefficient: 0.0003\n",
"cluster: 6 confiar coefficient: 0.0003\n",
"cluster: 6 confident coefficient: 0.0004\n",
"cluster: 6 configuration coefficient: 0.0004\n",
"cluster: 6 confirma coefficient: 0.0007\n",
"cluster: 6 confirmado coefficient: 0.0008\n",
"cluster: 6 confirmados coefficient: 0.0009\n",
"cluster: 6 confirmarse coefficient: 0.0005\n",
"cluster: 6 confirmed coefficient: 0.0036\n",
"cluster: 6 confirmer coefficient: 0.0003\n",
"cluster: 6 congrats coefficient: 0.0004\n",
"cluster: 6 congreso coefficient: 0.0006\n",
"cluster: 6 congress coefficient: 0.0010\n",
"cluster: 6 conoce coefficient: 0.0004\n",
"cluster: 6 conocer coefficient: 0.0011\n",
"cluster: 6 conomie coefficient: 0.0006\n",
"cluster: 6 cons coefficient: 0.0003\n",
"cluster: 6 consejos coefficient: 0.0011\n",
"cluster: 6 consell coefficient: 0.0003\n",
"cluster: 6 consider coefficient: 0.0009\n",
"cluster: 6 considered coefficient: 0.0004\n",
"cluster: 6 consigne coefficient: 0.0003\n",
"cluster: 6 consistent coefficient: 0.0012\n",
"cluster: 6 consommant coefficient: 0.0003\n",
"cluster: 6 constant coefficient: 0.0004\n",
"cluster: 6 constante coefficient: 0.0003\n",
"cluster: 6 constantemente coefficient: 0.0004\n",
"cluster: 6 constitution coefficient: 0.0003\n",
"cluster: 6 constructive coefficient: 0.0004\n",
"cluster: 6 constructively coefficient: 0.0003\n",
"cluster: 6 consult coefficient: 0.0007\n",
"cluster: 6 consultar coefficient: 0.0004\n",
"cluster: 6 consultation coefficient: 0.0004\n",
"cluster: 6 consumer coefficient: 0.0003\n",
"cluster: 6 cont coefficient: 0.0004\n",
"cluster: 6 conta coefficient: 0.0003\n",
"cluster: 6 contact coefficient: 0.0021\n",
"cluster: 6 contactless coefficient: 0.0004\n",
"cluster: 6 contacto coefficient: 0.0003\n",
"cluster: 6 contagi coefficient: 0.0010\n",
"cluster: 6 contagia coefficient: 0.0004\n",
"cluster: 6 contagiado coefficient: 0.0006\n",
"cluster: 6 contagiados coefficient: 0.0004\n",
"cluster: 6 contagio coefficient: 0.0015\n",
"cluster: 6 contagios coefficient: 0.0008\n",
"cluster: 6 contain coefficient: 0.0012\n",
"cluster: 6 containment coefficient: 0.0014\n",
"cluster: 6 contaminant coefficient: 0.0005\n",
"cluster: 6 contenci coefficient: 0.0009\n",
"cluster: 6 contener coefficient: 0.0004\n",
"cluster: 6 content coefficient: 0.0012\n",
"cluster: 6 contigo coefficient: 0.0004\n",
"cluster: 6 contin coefficient: 0.0004\n",
"cluster: 6 continent coefficient: 0.0007\n",
"cluster: 6 continuamente coefficient: 0.0005\n",
"cluster: 6 continue coefficient: 0.0008\n",
"cluster: 6 continues coefficient: 0.0009\n",
"cluster: 6 continuing coefficient: 0.0005\n",
"cluster: 6 continuous coefficient: 0.0003\n",
"cluster: 6 contr coefficient: 0.0003\n",
"cluster: 6 contract coefficient: 0.0003\n",
"cluster: 6 contracted coefficient: 0.0007\n",
"cluster: 6 contracts coefficient: 0.0004\n",
"cluster: 6 contrarrestar coefficient: 0.0003\n",
"cluster: 6 contrato coefficient: 0.0002\n",
"cluster: 6 contre coefficient: 0.0003\n",
"cluster: 6 contribuiscono coefficient: 0.0003\n",
"cluster: 6 control coefficient: 0.0022\n",
"cluster: 6 controlar coefficient: 0.0005\n",
"cluster: 6 controle coefficient: 0.0002\n",
"cluster: 6 controles coefficient: 0.0003\n",
"cluster: 6 controlled coefficient: 0.0004\n",
"cluster: 6 conundrum coefficient: 0.0003\n",
"cluster: 6 convenient coefficient: 0.0004\n",
"cluster: 6 conversation coefficient: 0.0004\n",
"cluster: 6 convertido coefficient: 0.0005\n",
"cluster: 6 convierta coefficient: 0.0004\n",
"cluster: 6 convivir coefficient: 0.0006\n",
"cluster: 6 coop coefficient: 0.0004\n",
"cluster: 6 coordena coefficient: 0.0003\n",
"cluster: 6 coordinar coefficient: 0.0004\n",
"cluster: 6 copays coefficient: 0.0004\n",
"cluster: 6 cor coefficient: 0.0004\n",
"cluster: 6 corea coefficient: 0.0010\n",
"cluster: 6 corner coefficient: 0.0004\n",
"cluster: 6 corona coefficient: 0.0054\n",
"cluster: 6 coronaalecovid coefficient: 0.0003\n",
"cluster: 6 coronabeer coefficient: 0.0006\n",
"cluster: 6 coronafreetn coefficient: 0.0008\n",
"cluster: 6 coronaindia coefficient: 0.0008\n",
"cluster: 6 coronanederland coefficient: 0.0004\n",
"cluster: 6 coronaoutbreak coefficient: 0.0014\n",
"cluster: 6 coronaturkiye coefficient: 0.0005\n",
"cluster: 6 coronav coefficient: 0.0010\n",
"cluster: 6 coronavid coefficient: 0.0024\n",
"cluster: 6 coronavir coefficient: 0.0003\n",
"cluster: 6 coronavirusargentina coefficient: 0.0003\n",
"cluster: 6 coronavirusenecuador coefficient: 0.0003\n",
"cluster: 6 coronavirusespana coefficient: 0.0006\n",
"cluster: 6 coronavirusindia coefficient: 0.0003\n",
"cluster: 6 coronavirusinindia coefficient: 0.0008\n",
"cluster: 6 coronavirusiran coefficient: 0.0010\n",
"cluster: 6 coronavirusnl coefficient: 0.0003\n",
"cluster: 6 coronavirusnobrasil coefficient: 0.0003\n",
"cluster: 6 coronavirusny coefficient: 0.0005\n",
"cluster: 6 coronavirusoutbreak coefficient: 0.0043\n",
"cluster: 6 coronaviruspandemic coefficient: 0.0012\n",
"cluster: 6 coronaviruspanicoorealidad coefficient: 0.0004\n",
"cluster: 6 coronavirusseattle coefficient: 0.0006\n",
"cluster: 6 coronavirusspread coefficient: 0.0005\n",
"cluster: 6 coronavirusupdate coefficient: 0.0043\n",
"cluster: 6 coronavius coefficient: 0.0005\n",
"cluster: 6 corporate coefficient: 0.0003\n",
"cluster: 6 correct coefficient: 0.0003\n",
"cluster: 6 correctamente coefficient: 0.0006\n",
"cluster: 6 correcto coefficient: 0.0003\n",
"cluster: 6 correlation coefficient: 0.0004\n",
"cluster: 6 correo coefficient: 0.0004\n",
"cluster: 6 correr coefficient: 0.0004\n",
"cluster: 6 correspondent coefficient: 0.0004\n",
"cluster: 6 corresponsal coefficient: 0.0007\n",
"cluster: 6 corrientes coefficient: 0.0004\n",
"cluster: 6 corrupci coefficient: 0.0004\n",
"cluster: 6 corse coefficient: 0.0003\n",
"cluster: 6 cortina coefficient: 0.0004\n",
"cluster: 6 cosplay coefficient: 0.0015\n",
"cluster: 6 cost coefficient: 0.0005\n",
"cluster: 6 costa coefficient: 0.0003\n",
"cluster: 6 costco coefficient: 0.0013\n",
"cluster: 6 costs coefficient: 0.0006\n",
"cluster: 6 coucase coefficient: 0.0004\n",
"cluster: 6 cough coefficient: 0.0004\n",
"cluster: 6 coughing coefficient: 0.0003\n",
"cluster: 6 could coefficient: 0.0029\n",
"cluster: 6 council coefficient: 0.0009\n",
"cluster: 6 councilor coefficient: 0.0003\n",
"cluster: 6 count coefficient: 0.0006\n",
"cluster: 6 counters coefficient: 0.0004\n",
"cluster: 6 counties coefficient: 0.0007\n",
"cluster: 6 countries coefficient: 0.0012\n",
"cluster: 6 country coefficient: 0.0038\n",
"cluster: 6 counts coefficient: 0.0006\n",
"cluster: 6 county coefficient: 0.0019\n",
"cluster: 6 couple coefficient: 0.0007\n",
"cluster: 6 course coefficient: 0.0008\n",
"cluster: 6 courtesy coefficient: 0.0004\n",
"cluster: 6 courts coefficient: 0.0004\n",
"cluster: 6 cousin coefficient: 0.0004\n",
"cluster: 6 cov coefficient: 0.0007\n",
"cluster: 6 covd coefficient: 0.0012\n",
"cluster: 6 cover coefficient: 0.0009\n",
"cluster: 6 coverage coefficient: 0.0025\n",
"cluster: 6 covid coefficient: 0.0318\n",
"cluster: 6 covidaustralia coefficient: 0.0004\n",
"cluster: 6 covidec coefficient: 0.0004\n",
"cluster: 6 covidfr coefficient: 0.0003\n",
"cluster: 6 covidfrance coefficient: 0.0010\n",
"cluster: 6 covidindia coefficient: 0.0005\n",
"cluster: 6 coviditalia coefficient: 0.0007\n",
"cluster: 6 covidnl coefficient: 0.0002\n",
"cluster: 6 coviduk coefficient: 0.0004\n",
"cluster: 6 covit coefficient: 0.0006\n",
"cluster: 6 coworker coefficient: 0.0006\n",
"cluster: 6 coyote coefficient: 0.0005\n",
"cluster: 6 cpac coefficient: 0.0008\n",
"cluster: 6 cr coefficient: 0.0004\n",
"cluster: 6 cracking coefficient: 0.0004\n",
"cluster: 6 crap coefficient: 0.0007\n",
"cluster: 6 crappy coefficient: 0.0004\n",
"cluster: 6 crazy coefficient: 0.0009\n",
"cluster: 6 cre coefficient: 0.0004\n",
"cluster: 6 creadores coefficient: 0.0003\n",
"cluster: 6 crear coefficient: 0.0006\n",
"cluster: 6 create coefficient: 0.0007\n",
"cluster: 6 created coefficient: 0.0003\n",
"cluster: 6 creates coefficient: 0.0007\n",
"cluster: 6 creating coefficient: 0.0004\n",
"cluster: 6 creci coefficient: 0.0004\n",
"cluster: 6 credit coefficient: 0.0007\n",
"cluster: 6 cree coefficient: 0.0007\n",
"cluster: 6 creen coefficient: 0.0003\n",
"cluster: 6 creo coefficient: 0.0003\n",
"cluster: 6 cresciuta coefficient: 0.0002\n",
"cluster: 6 crime coefficient: 0.0003\n",
"cluster: 6 criminal coefficient: 0.0010\n",
"cluster: 6 criminels coefficient: 0.0003\n",
"cluster: 6 crise coefficient: 0.0003\n",
"cluster: 6 crisis coefficient: 0.0020\n",
"cluster: 6 critical coefficient: 0.0003\n",
"cluster: 6 crnvrs coefficient: 0.0004\n",
"cluster: 6 cronico coefficient: 0.0003\n",
"cluster: 6 crossings coefficient: 0.0003\n",
"cluster: 6 crowded coefficient: 0.0003\n",
"cluster: 6 crowds coefficient: 0.0004\n",
"cluster: 6 crucial coefficient: 0.0004\n",
"cluster: 6 crude coefficient: 0.0004\n",
"cluster: 6 cruise coefficient: 0.0021\n",
"cluster: 6 cruiseship coefficient: 0.0004\n",
"cluster: 6 crushed coefficient: 0.0003\n",
"cluster: 6 cryptocurrencies coefficient: 0.0004\n",
"cluster: 6 csuf coefficient: 0.0003\n",
"cluster: 6 ctate coefficient: 0.0004\n",
"cluster: 6 cticas coefficient: 0.0003\n",
"cluster: 6 cu coefficient: 0.0017\n",
"cluster: 6 cuales coefficient: 0.0004\n",
"cluster: 6 cualquier coefficient: 0.0013\n",
"cluster: 6 cualquiera coefficient: 0.0004\n",
"cluster: 6 cuarentena coefficient: 0.0018\n",
"cluster: 6 cuba coefficient: 0.0004\n",
"cluster: 6 cubanos coefficient: 0.0004\n",
"cluster: 6 cucaracha coefficient: 0.0004\n",
"cluster: 6 cucharada coefficient: 0.0003\n",
"cluster: 6 cucharadas coefficient: 0.0003\n",
"cluster: 6 cuenta coefficient: 0.0003\n",
"cluster: 6 cuerpo coefficient: 0.0003\n",
"cluster: 6 cuidados coefficient: 0.0010\n",
"cluster: 6 cuide coefficient: 0.0003\n",
"cluster: 6 culling coefficient: 0.0004\n",
"cluster: 6 culpa coefficient: 0.0003\n",
"cluster: 6 culpables coefficient: 0.0004\n",
"cluster: 6 culpando coefficient: 0.0003\n",
"cluster: 6 cult coefficient: 0.0007\n",
"cluster: 6 cultura coefficient: 0.0003\n",
"cluster: 6 cultuur coefficient: 0.0003\n",
"cluster: 6 culum coefficient: 0.0004\n",
"cluster: 6 cuny coefficient: 0.0005\n",
"cluster: 6 cur coefficient: 0.0003\n",
"cluster: 6 cura coefficient: 0.0006\n",
"cluster: 6 curado coefficient: 0.0002\n",
"cluster: 6 curb coefficient: 0.0006\n",
"cluster: 6 curbsiders coefficient: 0.0004\n",
"cluster: 6 cure coefficient: 0.0013\n",
"cluster: 6 cured coefficient: 0.0016\n",
"cluster: 6 curr coefficient: 0.0004\n",
"cluster: 6 current coefficient: 0.0010\n",
"cluster: 6 cursados coefficient: 0.0004\n",
"cluster: 6 curts coefficient: 0.0004\n",
"cluster: 6 customer coefficient: 0.0004\n",
"cluster: 6 customers coefficient: 0.0004\n",
"cluster: 6 cut coefficient: 0.0008\n",
"cluster: 6 cuts coefficient: 0.0006\n",
"cluster: 6 cuyo coefficient: 0.0003\n",
"cluster: 6 cuz coefficient: 0.0004\n",
"cluster: 6 cybersecurity coefficient: 0.0004\n",
"cluster: 6 cycle coefficient: 0.0003\n",
"cluster: 6 da coefficient: 0.0035\n",
"cluster: 6 daha coefficient: 0.0003\n",
"cluster: 6 dahil coefficient: 0.0003\n",
"cluster: 6 damage coefficient: 0.0006\n",
"cluster: 6 damages coefficient: 0.0004\n",
"cluster: 6 damaris coefficient: 0.0003\n",
"cluster: 6 damn coefficient: 0.0014\n",
"cluster: 6 damning coefficient: 0.0005\n",
"cluster: 6 damos coefficient: 0.0007\n",
"cluster: 6 dan coefficient: 0.0014\n",
"cluster: 6 dando coefficient: 0.0003\n",
"cluster: 6 daneshvary coefficient: 0.0003\n",
"cluster: 6 danger coefficient: 0.0007\n",
"cluster: 6 dangerous coefficient: 0.0013\n",
"cluster: 6 danilo coefficient: 0.0004\n",
"cluster: 6 dante coefficient: 0.0003\n",
"cluster: 6 dar coefficient: 0.0003\n",
"cluster: 6 dari coefficient: 0.0003\n",
"cluster: 6 das coefficient: 0.0008\n",
"cluster: 6 dass coefficient: 0.0006\n",
"cluster: 6 dat coefficient: 0.0005\n",
"cluster: 6 data coefficient: 0.0020\n",
"cluster: 6 date coefficient: 0.0011\n",
"cluster: 6 dateencasa coefficient: 0.0004\n",
"cluster: 6 datos coefficient: 0.0006\n",
"cluster: 6 daughter coefficient: 0.0004\n",
"cluster: 6 davon coefficient: 0.0004\n",
"cluster: 6 dawud coefficient: 0.0002\n",
"cluster: 6 day coefficient: 0.0033\n",
"cluster: 6 days coefficient: 0.0022\n",
"cluster: 6 dc coefficient: 0.0009\n",
"cluster: 6 dead coefficient: 0.0012\n",
"cluster: 6 deadly coefficient: 0.0016\n",
"cluster: 6 deal coefficient: 0.0010\n",
"cluster: 6 dear coefficient: 0.0013\n",
"cluster: 6 death coefficient: 0.0036\n",
"cluster: 6 deaths coefficient: 0.0018\n",
"cluster: 6 debating coefficient: 0.0004\n",
"cluster: 6 debe coefficient: 0.0010\n",
"cluster: 6 debemos coefficient: 0.0005\n",
"cluster: 6 deben coefficient: 0.0017\n",
"cluster: 6 debido coefficient: 0.0005\n",
"cluster: 6 dec coefficient: 0.0004\n",
"cluster: 6 decent coefficient: 0.0003\n",
"cluster: 6 decide coefficient: 0.0004\n",
"cluster: 6 decided coefficient: 0.0007\n",
"cluster: 6 decision coefficient: 0.0007\n",
"cluster: 6 decisions coefficient: 0.0008\n",
"cluster: 6 decisive coefficient: 0.0006\n",
"cluster: 6 decisively coefficient: 0.0004\n",
"cluster: 6 declare coefficient: 0.0003\n",
"cluster: 6 declared coefficient: 0.0007\n",
"cluster: 6 decorum coefficient: 0.0003\n",
"cluster: 6 decrease coefficient: 0.0004\n",
"cluster: 6 decreci coefficient: 0.0004\n",
"cluster: 6 deep coefficient: 0.0006\n",
"cluster: 6 deepened coefficient: 0.0003\n",
"cluster: 6 defiance coefficient: 0.0004\n",
"cluster: 6 definitivo coefficient: 0.0003\n",
"cluster: 6 deflect coefficient: 0.0003\n",
"cluster: 6 degerli coefficient: 0.0003\n",
"cluster: 6 degli coefficient: 0.0003\n",
"cluster: 6 degradaron coefficient: 0.0006\n",
"cluster: 6 dei coefficient: 0.0003\n",
"cluster: 6 deja coefficient: 0.0004\n",
"cluster: 6 dejen coefficient: 0.0003\n",
"cluster: 6 dejo coefficient: 0.0009\n",
"cluster: 6 delay coefficient: 0.0006\n",
"cluster: 6 delayed coefficient: 0.0007\n",
"cluster: 6 delegation coefficient: 0.0003\n",
"cluster: 6 delete coefficient: 0.0004\n",
"cluster: 6 delhi coefficient: 0.0017\n",
"cluster: 6 deliberate coefficient: 0.0004\n",
"cluster: 6 deliberately coefficient: 0.0004\n",
"cluster: 6 delicada coefficient: 0.0006\n",
"cluster: 6 delicia coefficient: 0.0006\n",
"cluster: 6 delicious coefficient: 0.0005\n",
"cluster: 6 delivered coefficient: 0.0005\n",
"cluster: 6 deliveries coefficient: 0.0003\n",
"cluster: 6 dell coefficient: 0.0005\n",
"cluster: 6 della coefficient: 0.0003\n",
"cluster: 6 delnestado coefficient: 0.0004\n",
"cluster: 6 dem coefficient: 0.0003\n",
"cluster: 6 demand coefficient: 0.0004\n",
"cluster: 6 demasiado coefficient: 0.0003\n",
"cluster: 6 demexit coefficient: 0.0008\n",
"cluster: 6 democr coefficient: 0.0003\n",
"cluster: 6 democracia coefficient: 0.0003\n",
"cluster: 6 democrat coefficient: 0.0004\n",
"cluster: 6 democratic coefficient: 0.0003\n",
"cluster: 6 democraticprimary coefficient: 0.0008\n",
"cluster: 6 democrats coefficient: 0.0006\n",
"cluster: 6 democratsaredangerous coefficient: 0.0004\n",
"cluster: 6 demostr coefficient: 0.0003\n",
"cluster: 6 dems coefficient: 0.0014\n",
"cluster: 6 demuestre coefficient: 0.0004\n",
"cluster: 6 dengan coefficient: 0.0003\n",
"cluster: 6 dengue coefficient: 0.0004\n",
"cluster: 6 denial coefficient: 0.0003\n",
"cluster: 6 denies coefficient: 0.0007\n",
"cluster: 6 denr coefficient: 0.0003\n",
"cluster: 6 dental coefficient: 0.0008\n",
"cluster: 6 dentro coefficient: 0.0004\n",
"cluster: 6 department coefficient: 0.0012\n",
"cluster: 6 departmentoftourism coefficient: 0.0007\n",
"cluster: 6 dependent coefficient: 0.0004\n",
"cluster: 6 depending coefficient: 0.0003\n",
"cluster: 6 deployed coefficient: 0.0003\n",
"cluster: 6 depopulation coefficient: 0.0003\n",
"cluster: 6 depression coefficient: 0.0004\n",
"cluster: 6 depuis coefficient: 0.0003\n",
"cluster: 6 der coefficient: 0.0003\n",
"cluster: 6 derecho coefficient: 0.0002\n",
"cluster: 6 derechoasaber coefficient: 0.0004\n",
"cluster: 6 deres coefficient: 0.0004\n",
"cluster: 6 derledim coefficient: 0.0003\n",
"cluster: 6 derrepente coefficient: 0.0004\n",
"cluster: 6 desag coefficient: 0.0003\n",
"cluster: 6 desaparici coefficient: 0.0003\n",
"cluster: 6 descanso coefficient: 0.0004\n",
"cluster: 6 descargar coefficient: 0.0004\n",
"cluster: 6 descartados coefficient: 0.0003\n",
"cluster: 6 descobriran coefficient: 0.0003\n",
"cluster: 6 desconfianza coefficient: 0.0006\n",
"cluster: 6 describe coefficient: 0.0004\n",
"cluster: 6 desechables coefficient: 0.0004\n",
"cluster: 6 deserve coefficient: 0.0004\n",
"cluster: 6 desesperados coefficient: 0.0003\n",
"cluster: 6 design coefficient: 0.0006\n",
"cluster: 6 designation coefficient: 0.0005\n",
"cluster: 6 desinfectado coefficient: 0.0004\n",
"cluster: 6 desinfectados coefficient: 0.0005\n",
"cluster: 6 desinfectante coefficient: 0.0007\n",
"cluster: 6 desinfectas coefficient: 0.0004\n",
"cluster: 6 desinformaci coefficient: 0.0003\n",
"cluster: 6 deslealtad coefficient: 0.0005\n",
"cluster: 6 desperate coefficient: 0.0003\n",
"cluster: 6 desperately coefficient: 0.0003\n",
"cluster: 6 despicable coefficient: 0.0005\n",
"cluster: 6 despliega coefficient: 0.0004\n",
"cluster: 6 desplomaron coefficient: 0.0003\n",
"cluster: 6 despu coefficient: 0.0006\n",
"cluster: 6 despullat coefficient: 0.0004\n",
"cluster: 6 destek coefficient: 0.0003\n",
"cluster: 6 destilada coefficient: 0.0003\n",
"cluster: 6 destination coefficient: 0.0007\n",
"cluster: 6 destroy coefficient: 0.0004\n",
"cluster: 6 destroys coefficient: 0.0004\n",
"cluster: 6 desviar coefficient: 0.0004\n",
"cluster: 6 deswegen coefficient: 0.0003\n",
"cluster: 6 detail coefficient: 0.0004\n",
"cluster: 6 detailed coefficient: 0.0004\n",
"cluster: 6 details coefficient: 0.0011\n",
"cluster: 6 detecci coefficient: 0.0005\n",
"cluster: 6 detectados coefficient: 0.0005\n",
"cluster: 6 detectar coefficient: 0.0013\n",
"cluster: 6 detecten coefficient: 0.0004\n",
"cluster: 6 detenga coefficient: 0.0004\n",
"cluster: 6 devam coefficient: 0.0003\n",
"cluster: 6 devastate coefficient: 0.0004\n",
"cluster: 6 developer coefficient: 0.0003\n",
"cluster: 6 devices coefficient: 0.0004\n",
"cluster: 6 dfw coefficient: 0.0003\n",
"cluster: 6 di coefficient: 0.0032\n",
"cluster: 6 diagn coefficient: 0.0005\n",
"cluster: 6 diagnose coefficient: 0.0003\n",
"cluster: 6 diagnosed coefficient: 0.0018\n",
"cluster: 6 diagnosing coefficient: 0.0004\n",
"cluster: 6 diarrhoea coefficient: 0.0003\n",
"cluster: 6 dibaca coefficient: 0.0002\n",
"cluster: 6 dicaments coefficient: 0.0003\n",
"cluster: 6 dice coefficient: 0.0021\n",
"cluster: 6 dicen coefficient: 0.0015\n",
"cluster: 6 dichiarazioni coefficient: 0.0003\n",
"cluster: 6 dicho coefficient: 0.0007\n",
"cluster: 6 dichtgaan coefficient: 0.0003\n",
"cluster: 6 dico coefficient: 0.0016\n",
"cluster: 6 dicos coefficient: 0.0016\n",
"cluster: 6 dicosdelapatria coefficient: 0.0004\n",
"cluster: 6 didtrump coefficient: 0.0003\n",
"cluster: 6 die coefficient: 0.0024\n",
"cluster: 6 died coefficient: 0.0026\n",
"cluster: 6 dieron coefficient: 0.0003\n",
"cluster: 6 diferencias coefficient: 0.0003\n",
"cluster: 6 diferente coefficient: 0.0003\n",
"cluster: 6 diferentes coefficient: 0.0011\n",
"cluster: 6 difference coefficient: 0.0007\n",
"cluster: 6 different coefficient: 0.0007\n",
"cluster: 6 difficult coefficient: 0.0006\n",
"cluster: 6 difficulty coefficient: 0.0004\n",
"cluster: 6 difunde coefficient: 0.0007\n",
"cluster: 6 difundir coefficient: 0.0004\n",
"cluster: 6 dijo coefficient: 0.0007\n",
"cluster: 6 dimaio coefficient: 0.0002\n",
"cluster: 6 dime coefficient: 0.0003\n",
"cluster: 6 diminuer coefficient: 0.0003\n",
"cluster: 6 dinero coefficient: 0.0003\n",
"cluster: 6 dinner coefficient: 0.0006\n",
"cluster: 6 dio coefficient: 0.0004\n",
"cluster: 6 diputado coefficient: 0.0003\n",
"cluster: 6 direcci coefficient: 0.0004\n",
"cluster: 6 directa coefficient: 0.0003\n",
"cluster: 6 directions coefficient: 0.0004\n",
"cluster: 6 director coefficient: 0.0017\n",
"cluster: 6 directora coefficient: 0.0003\n",
"cluster: 6 dirigente coefficient: 0.0003\n",
"cluster: 6 dirigentes coefficient: 0.0004\n",
"cluster: 6 disabilities coefficient: 0.0003\n",
"cluster: 6 disappear coefficient: 0.0004\n",
"cluster: 6 disappears coefficient: 0.0004\n",
"cluster: 6 disappointed coefficient: 0.0006\n",
"cluster: 6 disapproves coefficient: 0.0004\n",
"cluster: 6 disaster coefficient: 0.0009\n",
"cluster: 6 disasters coefficient: 0.0005\n",
"cluster: 6 discharged coefficient: 0.0009\n",
"cluster: 6 discorso coefficient: 0.0002\n",
"cluster: 6 discrecional coefficient: 0.0003\n",
"cluster: 6 discriminate coefficient: 0.0011\n",
"cluster: 6 disculpen coefficient: 0.0003\n",
"cluster: 6 discuss coefficient: 0.0008\n",
"cluster: 6 discusses coefficient: 0.0004\n",
"cluster: 6 discussions coefficient: 0.0004\n",
"cluster: 6 disease coefficient: 0.0019\n",
"cluster: 6 diseases coefficient: 0.0008\n",
"cluster: 6 disegni coefficient: 0.0003\n",
"cluster: 6 dishonest coefficient: 0.0005\n",
"cluster: 6 disinfectants coefficient: 0.0004\n",
"cluster: 6 disinfected coefficient: 0.0004\n",
"cluster: 6 disinfecting coefficient: 0.0009\n",
"cluster: 6 diskutieren coefficient: 0.0003\n",
"cluster: 6 disminuci coefficient: 0.0004\n",
"cluster: 6 dispensadores coefficient: 0.0005\n",
"cluster: 6 displayed coefficient: 0.0004\n",
"cluster: 6 disponible coefficient: 0.0004\n",
"cluster: 6 dispuestas coefficient: 0.0004\n",
"cluster: 6 dissent coefficient: 0.0003\n",
"cluster: 6 disservice coefficient: 0.0004\n",
"cluster: 6 dissimulations coefficient: 0.0003\n",
"cluster: 6 distance coefficient: 0.0003\n",
"cluster: 6 distancelearning coefficient: 0.0004\n",
"cluster: 6 distancing coefficient: 0.0004\n",
"cluster: 6 distanz coefficient: 0.0003\n",
"cluster: 6 distasteful coefficient: 0.0004\n",
"cluster: 6 distintos coefficient: 0.0003\n",
"cluster: 6 distorsiones coefficient: 0.0004\n",
"cluster: 6 distract coefficient: 0.0003\n",
"cluster: 6 distrito coefficient: 0.0003\n",
"cluster: 6 distrust coefficient: 0.0003\n",
"cluster: 6 dit coefficient: 0.0003\n",
"cluster: 6 dithers coefficient: 0.0004\n",
"cluster: 6 divulgaci coefficient: 0.0004\n",
"cluster: 6 diz coefficient: 0.0003\n",
"cluster: 6 dm coefficient: 0.0003\n",
"cluster: 6 dna coefficient: 0.0004\n",
"cluster: 6 dnc coefficient: 0.0003\n",
"cluster: 6 doa coefficient: 0.0002\n",
"cluster: 6 docentes coefficient: 0.0004\n",
"cluster: 6 docked coefficient: 0.0004\n",
"cluster: 6 doctor coefficient: 0.0018\n",
"cluster: 6 doctors coefficient: 0.0021\n",
"cluster: 6 documento coefficient: 0.0004\n",
"cluster: 6 doen coefficient: 0.0002\n",
"cluster: 6 dollars coefficient: 0.0003\n",
"cluster: 6 domenica coefficient: 0.0003\n",
"cluster: 6 domestic coefficient: 0.0003\n",
"cluster: 6 dominicana coefficient: 0.0003\n",
"cluster: 6 dona coefficient: 0.0005\n",
"cluster: 6 donated coefficient: 0.0006\n",
"cluster: 6 donavanmitchell coefficient: 0.0009\n",
"cluster: 6 done coefficient: 0.0018\n",
"cluster: 6 donovan coefficient: 0.0003\n",
"cluster: 6 dont coefficient: 0.0004\n",
"cluster: 6 doomsday coefficient: 0.0005\n",
"cluster: 6 dorries coefficient: 0.0025\n",
"cluster: 6 dos coefficient: 0.0007\n",
"cluster: 6 double coefficient: 0.0005\n",
"cluster: 6 dow coefficient: 0.0003\n",
"cluster: 6 dowjones coefficient: 0.0004\n",
"cluster: 6 downing coefficient: 0.0003\n",
"cluster: 6 downside coefficient: 0.0003\n",
"cluster: 6 dr coefficient: 0.0032\n",
"cluster: 6 drill coefficient: 0.0003\n",
"cluster: 6 drink coefficient: 0.0003\n",
"cluster: 6 drive coefficient: 0.0012\n",
"cluster: 6 driver coefficient: 0.0003\n",
"cluster: 6 drop coefficient: 0.0003\n",
"cluster: 6 dropped coefficient: 0.0008\n",
"cluster: 6 drosten coefficient: 0.0003\n",
"cluster: 6 drove coefficient: 0.0003\n",
"cluster: 6 drunk coefficient: 0.0007\n",
"cluster: 6 dsplays coefficient: 0.0006\n",
"cluster: 6 duda coefficient: 0.0007\n",
"cluster: 6 dudas coefficient: 0.0007\n",
"cluster: 6 due coefficient: 0.0041\n",
"cluster: 6 dugova coefficient: 0.0003\n",
"cluster: 6 dumbest coefficient: 0.0006\n",
"cluster: 6 dumptrump coefficient: 0.0007\n",
"cluster: 6 duplique coefficient: 0.0003\n",
"cluster: 6 durement coefficient: 0.0005\n",
"cluster: 6 duterte coefficient: 0.0007\n",
"cluster: 6 duty coefficient: 0.0003\n",
"cluster: 6 duyan coefficient: 0.0004\n",
"cluster: 6 dying coefficient: 0.0016\n",
"cluster: 6 dynamic coefficient: 0.0003\n",
"cluster: 6 eapro coefficient: 0.0005\n",
"cluster: 6 earlier coefficient: 0.0010\n",
"cluster: 6 early coefficient: 0.0015\n",
"cluster: 6 earners coefficient: 0.0003\n",
"cluster: 6 easier coefficient: 0.0004\n",
"cluster: 6 eat coefficient: 0.0003\n",
"cluster: 6 eating coefficient: 0.0003\n",
"cluster: 6 ebola coefficient: 0.0003\n",
"cluster: 6 ec coefficient: 0.0011\n",
"cluster: 6 ecco coefficient: 0.0008\n",
"cluster: 6 echt coefficient: 0.0002\n",
"cluster: 6 econ coefficient: 0.0007\n",
"cluster: 6 econom coefficient: 0.0021\n",
"cluster: 6 economia coefficient: 0.0006\n",
"cluster: 6 economic coefficient: 0.0011\n",
"cluster: 6 economicas coefficient: 0.0003\n",
"cluster: 6 economies coefficient: 0.0003\n",
"cluster: 6 economy coefficient: 0.0018\n",
"cluster: 6 ect coefficient: 0.0003\n",
"cluster: 6 ecuador coefficient: 0.0019\n",
"cluster: 6 edecek coefficient: 0.0003\n",
"cluster: 6 edelim coefficient: 0.0003\n",
"cluster: 6 edibles coefficient: 0.0003\n",
"cluster: 6 edificios coefficient: 0.0004\n",
"cluster: 6 edtech coefficient: 0.0004\n",
"cluster: 6 educaci coefficient: 0.0003\n",
"cluster: 6 education coefficient: 0.0011\n",
"cluster: 6 educativas coefficient: 0.0008\n",
"cluster: 6 edwin coefficient: 0.0005\n",
"cluster: 6 eens coefficient: 0.0003\n",
"cluster: 6 eeuu coefficient: 0.0007\n",
"cluster: 6 efectiva coefficient: 0.0004\n",
"cluster: 6 efectos coefficient: 0.0009\n",
"cluster: 6 efektif coefficient: 0.0003\n",
"cluster: 6 efeurgente coefficient: 0.0006\n",
"cluster: 6 effect coefficient: 0.0004\n",
"cluster: 6 effects coefficient: 0.0008\n",
"cluster: 6 effo coefficient: 0.0004\n",
"cluster: 6 efforts coefficient: 0.0010\n",
"cluster: 6 eficiente coefficient: 0.0003\n",
"cluster: 6 efisien coefficient: 0.0003\n",
"cluster: 6 einged coefficient: 0.0004\n",
"cluster: 6 einschenken coefficient: 0.0003\n",
"cluster: 6 either coefficient: 0.0003\n",
"cluster: 6 ejemplo coefficient: 0.0003\n",
"cluster: 6 ek coefficient: 0.0004\n",
"cluster: 6 eksperto coefficient: 0.0004\n",
"cluster: 6 elcacas coefficient: 0.0003\n",
"cluster: 6 ele coefficient: 0.0003\n",
"cluster: 6 elearning coefficient: 0.0004\n",
"cluster: 6 elect coefficient: 0.0004\n",
"cluster: 6 election coefficient: 0.0004\n",
"cluster: 6 electronic coefficient: 0.0004\n",
"cluster: 6 elementos coefficient: 0.0004\n",
"cluster: 6 elijahrich coefficient: 0.0004\n",
"cluster: 6 elizabethwarren coefficient: 0.0003\n",
"cluster: 6 elmarro coefficient: 0.0005\n",
"cluster: 6 elpeorgobiernodelahistoria coefficient: 0.0004\n",
"cluster: 6 elpeorpresidentedelahistoria coefficient: 0.0004\n",
"cluster: 6 elrepasadorpy coefficient: 0.0004\n",
"cluster: 6 els coefficient: 0.0004\n",
"cluster: 6 else coefficient: 0.0007\n",
"cluster: 6 elsewhere coefficient: 0.0003\n",
"cluster: 6 em coefficient: 0.0013\n",
"cluster: 6 email coefficient: 0.0003\n",
"cluster: 6 embargo coefficient: 0.0004\n",
"cluster: 6 emergencia coefficient: 0.0010\n",
"cluster: 6 emergency coefficient: 0.0013\n",
"cluster: 6 emergenza coefficient: 0.0006\n",
"cluster: 6 emile coefficient: 0.0003\n",
"cluster: 6 emp coefficient: 0.0003\n",
"cluster: 6 empezaron coefficient: 0.0003\n",
"cluster: 6 empiecen coefficient: 0.0003\n",
"cluster: 6 empleados coefficient: 0.0011\n",
"cluster: 6 employees coefficient: 0.0013\n",
"cluster: 6 employers coefficient: 0.0006\n",
"cluster: 6 employs coefficient: 0.0004\n",
"cluster: 6 empresas coefficient: 0.0002\n",
"cluster: 6 empty coefficient: 0.0010\n",
"cluster: 6 encontrar coefficient: 0.0004\n",
"cluster: 6 encountered coefficient: 0.0004\n",
"cluster: 6 encourage coefficient: 0.0004\n",
"cluster: 6 encouraging coefficient: 0.0004\n",
"cluster: 6 encuentra coefficient: 0.0007\n",
"cluster: 6 encuentran coefficient: 0.0009\n",
"cluster: 6 encuentre coefficient: 0.0004\n",
"cluster: 6 encuentro coefficient: 0.0003\n",
"cluster: 6 encuestaintratable coefficient: 0.0006\n",
"cluster: 6 end coefficient: 0.0013\n",
"cluster: 6 endorsement coefficient: 0.0004\n",
"cluster: 6 ends coefficient: 0.0003\n",
"cluster: 6 energy coefficient: 0.0003\n",
"cluster: 6 enfants coefficient: 0.0003\n",
"cluster: 6 enfermedad coefficient: 0.0005\n",
"cluster: 6 enfermedades coefficient: 0.0008\n",
"cluster: 6 enfermos coefficient: 0.0006\n",
"cluster: 6 enfrentar coefficient: 0.0011\n",
"cluster: 6 eng coefficient: 0.0004\n",
"cluster: 6 enga coefficient: 0.0003\n",
"cluster: 6 engaged coefficient: 0.0003\n",
"cluster: 6 engineering coefficient: 0.0008\n",
"cluster: 6 ennicaraguavalienteyvictoriosa coefficient: 0.0005\n",
"cluster: 6 enough coefficient: 0.0016\n",
"cluster: 6 enqu coefficient: 0.0003\n",
"cluster: 6 enquanto coefficient: 0.0003\n",
"cluster: 6 ensure coefficient: 0.0010\n",
"cluster: 6 ent coefficient: 0.0007\n",
"cluster: 6 entende coefficient: 0.0003\n",
"cluster: 6 entender coefficient: 0.0008\n",
"cluster: 6 entering coefficient: 0.0003\n",
"cluster: 6 entire coefficient: 0.0007\n",
"cluster: 6 entonces coefficient: 0.0004\n",
"cluster: 6 entrada coefficient: 0.0005\n",
"cluster: 6 entrega coefficient: 0.0003\n",
"cluster: 6 entrevista coefficient: 0.0003\n",
"cluster: 6 entro coefficient: 0.0003\n",
"cluster: 6 entry coefficient: 0.0004\n",
"cluster: 6 envelope coefficient: 0.0003\n",
"cluster: 6 enviadas coefficient: 0.0004\n",
"cluster: 6 enviando coefficient: 0.0008\n",
"cluster: 6 envisage coefficient: 0.0003\n",
"cluster: 6 epicenter coefficient: 0.0010\n",
"cluster: 6 epicenters coefficient: 0.0007\n",
"cluster: 6 epicentro coefficient: 0.0003\n",
"cluster: 6 epid coefficient: 0.0007\n",
"cluster: 6 epidemia coefficient: 0.0003\n",
"cluster: 6 epidemic coefficient: 0.0020\n",
"cluster: 6 epidemiol coefficient: 0.0004\n",
"cluster: 6 epidemiolog coefficient: 0.0004\n",
"cluster: 6 episode coefficient: 0.0008\n",
"cluster: 6 equipo coefficient: 0.0011\n",
"cluster: 6 er coefficient: 0.0008\n",
"cluster: 6 erosv coefficient: 0.0003\n",
"cluster: 6 error coefficient: 0.0007\n",
"cluster: 6 escaped coefficient: 0.0003\n",
"cluster: 6 escasez coefficient: 0.0004\n",
"cluster: 6 escuchado coefficient: 0.0009\n",
"cluster: 6 escuela coefficient: 0.0006\n",
"cluster: 6 escuelas coefficient: 0.0007\n",
"cluster: 6 esp coefficient: 0.0003\n",
"cluster: 6 espa coefficient: 0.0028\n",
"cluster: 6 espagne coefficient: 0.0013\n",
"cluster: 6 espana coefficient: 0.0004\n",
"cluster: 6 espanol coefficient: 0.0005\n",
"cluster: 6 especially coefficient: 0.0005\n",
"cluster: 6 espera coefficient: 0.0010\n",
"cluster: 6 esperando coefficient: 0.0007\n",
"cluster: 6 esperemos coefficient: 0.0004\n",
"cluster: 6 espionajeazul coefficient: 0.0005\n",
"cluster: 6 esse coefficient: 0.0003\n",
"cluster: 6 essential coefficient: 0.0009\n",
"cluster: 6 establishment coefficient: 0.0010\n",
"cluster: 6 establishments coefficient: 0.0006\n",
"cluster: 6 estornudar coefficient: 0.0004\n",
"cluster: 6 estrictos coefficient: 0.0003\n",
"cluster: 6 estudiantes coefficient: 0.0010\n",
"cluster: 6 estudiar coefficient: 0.0003\n",
"cluster: 6 estudios coefficient: 0.0004\n",
"cluster: 6 estupidez coefficient: 0.0004\n",
"cluster: 6 etant coefficient: 0.0003\n",
"cluster: 6 etapa coefficient: 0.0004\n",
"cluster: 6 etc coefficient: 0.0004\n",
"cluster: 6 eteni coefficient: 0.0003\n",
"cluster: 6 europa coefficient: 0.0011\n",
"cluster: 6 europe coefficient: 0.0018\n",
"cluster: 6 europea coefficient: 0.0003\n",
"cluster: 6 european coefficient: 0.0010\n",
"cluster: 6 europeu coefficient: 0.0003\n",
"cluster: 6 euros coefficient: 0.0003\n",
"cluster: 6 euthanasie coefficient: 0.0003\n",
"cluster: 6 evacuated coefficient: 0.0003\n",
"cluster: 6 even coefficient: 0.0045\n",
"cluster: 6 event coefficient: 0.0007\n",
"cluster: 6 eventos coefficient: 0.0009\n",
"cluster: 6 events coefficient: 0.0013\n",
"cluster: 6 ever coefficient: 0.0015\n",
"cluster: 6 every coefficient: 0.0040\n",
"cluster: 6 everybody coefficient: 0.0007\n",
"cluster: 6 everyone coefficient: 0.0037\n",
"cluster: 6 everything coefficient: 0.0022\n",
"cluster: 6 evet coefficient: 0.0003\n",
"cluster: 6 eviction coefficient: 0.0004\n",
"cluster: 6 evidencia coefficient: 0.0004\n",
"cluster: 6 evil coefficient: 0.0008\n",
"cluster: 6 evita coefficient: 0.0004\n",
"cluster: 6 evitar coefficient: 0.0020\n",
"cluster: 6 evoluci coefficient: 0.0007\n",
"cluster: 6 evoluzione coefficient: 0.0005\n",
"cluster: 6 ex coefficient: 0.0016\n",
"cluster: 6 exact coefficient: 0.0006\n",
"cluster: 6 exactamente coefficient: 0.0003\n",
"cluster: 6 exams coefficient: 0.0003\n",
"cluster: 6 excedente coefficient: 0.0002\n",
"cluster: 6 exceeds coefficient: 0.0005\n",
"cluster: 6 excel coefficient: 0.0004\n",
"cluster: 6 excelente coefficient: 0.0013\n",
"cluster: 6 exclusivamente coefficient: 0.0004\n",
"cluster: 6 executives coefficient: 0.0003\n",
"cluster: 6 executivo coefficient: 0.0003\n",
"cluster: 6 exercising coefficient: 0.0004\n",
"cluster: 6 exhaustion coefficient: 0.0003\n",
"cluster: 6 existe coefficient: 0.0004\n",
"cluster: 6 existed coefficient: 0.0007\n",
"cluster: 6 existeix coefficient: 0.0004\n",
"cluster: 6 expeadvice coefficient: 0.0004\n",
"cluster: 6 expect coefficient: 0.0007\n",
"cluster: 6 expected coefficient: 0.0011\n",
"cluster: 6 expefor coefficient: 0.0003\n",
"cluster: 6 expein coefficient: 0.0007\n",
"cluster: 6 expemichael coefficient: 0.0005\n",
"cluster: 6 experience coefficient: 0.0011\n",
"cluster: 6 experiencia coefficient: 0.0005\n",
"cluster: 6 experiencing coefficient: 0.0003\n",
"cluster: 6 experts coefficient: 0.0010\n",
"cluster: 6 explained coefficient: 0.0003\n",
"cluster: 6 explaining coefficient: 0.0003\n",
"cluster: 6 explains coefficient: 0.0008\n",
"cluster: 6 explanations coefficient: 0.0004\n",
"cluster: 6 explica coefficient: 0.0003\n",
"cluster: 6 expliquer coefficient: 0.0004\n",
"cluster: 6 explosivo coefficient: 0.0003\n",
"cluster: 6 exponentially coefficient: 0.0004\n",
"cluster: 6 express coefficient: 0.0006\n",
"cluster: 6 expression coefficient: 0.0004\n",
"cluster: 6 extended coefficient: 0.0010\n",
"cluster: 6 extendi coefficient: 0.0004\n",
"cluster: 6 extiende coefficient: 0.0004\n",
"cluster: 6 extra coefficient: 0.0007\n",
"cluster: 6 extraordinari coefficient: 0.0003\n",
"cluster: 6 extremas coefficient: 0.0004\n",
"cluster: 6 extremely coefficient: 0.0004\n",
"cluster: 6 eyes coefficient: 0.0003\n",
"cluster: 6 fa coefficient: 0.0007\n",
"cluster: 6 fab coefficient: 0.0007\n",
"cluster: 6 fabio coefficient: 0.0005\n",
"cluster: 6 faccia coefficient: 0.0003\n",
"cluster: 6 facciamorete coefficient: 0.0003\n",
"cluster: 6 faccio coefficient: 0.0002\n",
"cluster: 6 face coefficient: 0.0020\n",
"cluster: 6 faced coefficient: 0.0004\n",
"cluster: 6 facemask coefficient: 0.0004\n",
"cluster: 6 facility coefficient: 0.0006\n",
"cluster: 6 fact coefficient: 0.0008\n",
"cluster: 6 factories coefficient: 0.0003\n",
"cluster: 6 facts coefficient: 0.0011\n",
"cluster: 6 fail coefficient: 0.0004\n",
"cluster: 6 failed coefficient: 0.0003\n",
"cluster: 6 failing coefficient: 0.0004\n",
"cluster: 6 fails coefficient: 0.0007\n",
"cluster: 6 failure coefficient: 0.0003\n",
"cluster: 6 failures coefficient: 0.0004\n",
"cluster: 6 fakenews coefficient: 0.0011\n",
"cluster: 6 fall coefficient: 0.0006\n",
"cluster: 6 fallecido coefficient: 0.0006\n",
"cluster: 6 falls coefficient: 0.0003\n",
"cluster: 6 false coefficient: 0.0004\n",
"cluster: 6 faltaba coefficient: 0.0004\n",
"cluster: 6 fam coefficient: 0.0004\n",
"cluster: 6 famiglia coefficient: 0.0002\n",
"cluster: 6 familiar coefficient: 0.0006\n",
"cluster: 6 families coefficient: 0.0006\n",
"cluster: 6 family coefficient: 0.0019\n",
"cluster: 6 famoso coefficient: 0.0003\n",
"cluster: 6 fan coefficient: 0.0004\n",
"cluster: 6 fans coefficient: 0.0010\n",
"cluster: 6 fantasia coefficient: 0.0003\n",
"cluster: 6 fantasizes coefficient: 0.0005\n",
"cluster: 6 far coefficient: 0.0023\n",
"cluster: 6 farage coefficient: 0.0004\n",
"cluster: 6 fare coefficient: 0.0004\n",
"cluster: 6 faremo coefficient: 0.0002\n",
"cluster: 6 farina coefficient: 0.0005\n",
"cluster: 6 farmacia coefficient: 0.0003\n",
"cluster: 6 farmer coefficient: 0.0004\n",
"cluster: 6 farnborough coefficient: 0.0004\n",
"cluster: 6 fasce coefficient: 0.0003\n",
"cluster: 6 fase coefficient: 0.0004\n",
"cluster: 6 fashion coefficient: 0.0012\n",
"cluster: 6 fashionnova coefficient: 0.0005\n",
"cluster: 6 fast coefficient: 0.0007\n",
"cluster: 6 faster coefficient: 0.0009\n",
"cluster: 6 fatal coefficient: 0.0003\n",
"cluster: 6 fatalities coefficient: 0.0004\n",
"cluster: 6 fatality coefficient: 0.0003\n",
"cluster: 6 fault coefficient: 0.0006\n",
"cluster: 6 faut coefficient: 0.0006\n",
"cluster: 6 favor coefficient: 0.0009\n",
"cluster: 6 favorite coefficient: 0.0003\n",
"cluster: 6 fb coefficient: 0.0003\n",
"cluster: 6 fc coefficient: 0.0003\n",
"cluster: 6 fear coefficient: 0.0031\n",
"cluster: 6 fears coefficient: 0.0013\n",
"cluster: 6 feb coefficient: 0.0004\n",
"cluster: 6 febrero coefficient: 0.0007\n",
"cluster: 6 fecha coefficient: 0.0007\n",
"cluster: 6 federal coefficient: 0.0006\n",
"cluster: 6 feed coefficient: 0.0005\n",
"cluster: 6 feedback coefficient: 0.0003\n",
"cluster: 6 feel coefficient: 0.0003\n",
"cluster: 6 feeling coefficient: 0.0004\n",
"cluster: 6 feet coefficient: 0.0004\n",
"cluster: 6 felt coefficient: 0.0005\n",
"cluster: 6 feminismo coefficient: 0.0009\n",
"cluster: 6 femme coefficient: 0.0003\n",
"cluster: 6 fense coefficient: 0.0003\n",
"cluster: 6 ferma coefficient: 0.0003\n",
"cluster: 6 ferme coefficient: 0.0005\n",
"cluster: 6 ferreras coefficient: 0.0003\n",
"cluster: 6 fertility coefficient: 0.0004\n",
"cluster: 6 festivales coefficient: 0.0005\n",
"cluster: 6 feud coefficient: 0.0003\n",
"cluster: 6 fever coefficient: 0.0009\n",
"cluster: 6 ffs coefficient: 0.0003\n",
"cluster: 6 fiance coefficient: 0.0004\n",
"cluster: 6 fibrosis coefficient: 0.0006\n",
"cluster: 6 fica coefficient: 0.0013\n",
"cluster: 6 fico coefficient: 0.0014\n",
"cluster: 6 ficticius coefficient: 0.0004\n",
"cluster: 6 fidelio coefficient: 0.0003\n",
"cluster: 6 fight coefficient: 0.0022\n",
"cluster: 6 fighting coefficient: 0.0014\n",
"cluster: 6 fights coefficient: 0.0006\n",
"cluster: 6 figure coefficient: 0.0004\n",
"cluster: 6 figured coefficient: 0.0010\n",
"cluster: 6 figures coefficient: 0.0004\n",
"cluster: 6 fija coefficient: 0.0003\n",
"cluster: 6 fill coefficient: 0.0004\n",
"cluster: 6 filo coefficient: 0.0003\n",
"cluster: 6 filters coefficient: 0.0004\n",
"cluster: 6 finalidad coefficient: 0.0003\n",
"cluster: 6 finally coefficient: 0.0007\n",
"cluster: 6 finance coefficient: 0.0004\n",
"cluster: 6 find coefficient: 0.0017\n",
"cluster: 6 fine coefficient: 0.0007\n",
"cluster: 6 fingers coefficient: 0.0004\n",
"cluster: 6 finisca coefficient: 0.0002\n",
"cluster: 6 firm coefficient: 0.0004\n",
"cluster: 6 firmar coefficient: 0.0006\n",
"cluster: 6 first coefficient: 0.0048\n",
"cluster: 6 five coefficient: 0.0014\n",
"cluster: 6 fl coefficient: 0.0010\n",
"cluster: 6 flash coefficient: 0.0006\n",
"cluster: 6 flattenthecurve coefficient: 0.0015\n",
"cluster: 6 flies coefficient: 0.0003\n",
"cluster: 6 flight coefficient: 0.0010\n",
"cluster: 6 flights coefficient: 0.0007\n",
"cluster: 6 floor coefficient: 0.0004\n",
"cluster: 6 florida coefficient: 0.0014\n",
"cluster: 6 flu coefficient: 0.0033\n",
"cluster: 6 flush coefficient: 0.0006\n",
"cluster: 6 flying coefficient: 0.0008\n",
"cluster: 6 fmi coefficient: 0.0004\n",
"cluster: 6 focusing coefficient: 0.0003\n",
"cluster: 6 foggia coefficient: 0.0004\n",
"cluster: 6 fold coefficient: 0.0004\n",
"cluster: 6 folks coefficient: 0.0013\n",
"cluster: 6 follow coefficient: 0.0026\n",
"cluster: 6 following coefficient: 0.0003\n",
"cluster: 6 fondamentali coefficient: 0.0006\n",
"cluster: 6 fondo coefficient: 0.0003\n",
"cluster: 6 fondos coefficient: 0.0003\n",
"cluster: 6 fonos coefficient: 0.0003\n",
"cluster: 6 food coefficient: 0.0013\n",
"cluster: 6 foodbank coefficient: 0.0003\n",
"cluster: 6 footage coefficient: 0.0004\n",
"cluster: 6 football coefficient: 0.0003\n",
"cluster: 6 footballers coefficient: 0.0004\n",
"cluster: 6 fora coefficient: 0.0004\n",
"cluster: 6 force coefficient: 0.0018\n",
"cluster: 6 forced coefficient: 0.0006\n",
"cluster: 6 forces coefficient: 0.0003\n",
"cluster: 6 foreign coefficient: 0.0010\n",
"cluster: 6 forensic coefficient: 0.0003\n",
"cluster: 6 forever coefficient: 0.0003\n",
"cluster: 6 forma coefficient: 0.0008\n",
"cluster: 6 former coefficient: 0.0004\n",
"cluster: 6 forrest coefficient: 0.0004\n",
"cluster: 6 fortes coefficient: 0.0003\n",
"cluster: 6 forward coefficient: 0.0006\n",
"cluster: 6 fotos coefficient: 0.0004\n",
"cluster: 6 found coefficient: 0.0023\n",
"cluster: 6 foworth coefficient: 0.0005\n",
"cluster: 6 fr coefficient: 0.0020\n",
"cluster: 6 fraction coefficient: 0.0004\n",
"cluster: 6 fragile coefficient: 0.0003\n",
"cluster: 6 france coefficient: 0.0020\n",
"cluster: 6 francesas coefficient: 0.0003\n",
"cluster: 6 francia coefficient: 0.0011\n",
"cluster: 6 franciscan coefficient: 0.0003\n",
"cluster: 6 frank coefficient: 0.0003\n",
"cluster: 6 franklin coefficient: 0.0004\n",
"cluster: 6 fraud coefficient: 0.0003\n",
"cluster: 6 frazzled coefficient: 0.0004\n",
"cluster: 6 freaking coefficient: 0.0006\n",
"cluster: 6 frecuencia coefficient: 0.0004\n",
"cluster: 6 frecuente coefficient: 0.0005\n",
"cluster: 6 free coefficient: 0.0033\n",
"cluster: 6 freeassange coefficient: 0.0004\n",
"cluster: 6 freecoronavirustesting coefficient: 0.0003\n",
"cluster: 6 freedom coefficient: 0.0003\n",
"cluster: 6 freenazanin coefficient: 0.0003\n",
"cluster: 6 freepress coefficient: 0.0004\n",
"cluster: 6 french coefficient: 0.0004\n",
"cluster: 6 frente coefficient: 0.0019\n",
"cluster: 6 frequently coefficient: 0.0004\n",
"cluster: 6 friday coefficient: 0.0004\n",
"cluster: 6 friend coefficient: 0.0010\n",
"cluster: 6 friendos coefficient: 0.0003\n",
"cluster: 6 friends coefficient: 0.0018\n",
"cluster: 6 friendship coefficient: 0.0003\n",
"cluster: 6 frightening coefficient: 0.0004\n",
"cluster: 6 frm coefficient: 0.0006\n",
"cluster: 6 front coefficient: 0.0007\n",
"cluster: 6 frontera coefficient: 0.0003\n",
"cluster: 6 fronteras coefficient: 0.0003\n",
"cluster: 6 fronti coefficient: 0.0003\n",
"cluster: 6 ftm coefficient: 0.0006\n",
"cluster: 6 fu coefficient: 0.0005\n",
"cluster: 6 fuck coefficient: 0.0014\n",
"cluster: 6 fucking coefficient: 0.0012\n",
"cluster: 6 fucktrudeau coefficient: 0.0005\n",
"cluster: 6 fuel coefficient: 0.0004\n",
"cluster: 6 fuerte coefficient: 0.0004\n",
"cluster: 6 fuient coefficient: 0.0003\n",
"cluster: 6 fukushima coefficient: 0.0011\n",
"cluster: 6 full coefficient: 0.0024\n",
"cluster: 6 fulltunnel coefficient: 0.0004\n",
"cluster: 6 fully coefficient: 0.0003\n",
"cluster: 6 fumigators coefficient: 0.0008\n",
"cluster: 6 fun coefficient: 0.0003\n",
"cluster: 6 funcionaria coefficient: 0.0004\n",
"cluster: 6 function coefficient: 0.0007\n",
"cluster: 6 functioning coefficient: 0.0005\n",
"cluster: 6 fundamental coefficient: 0.0005\n",
"cluster: 6 funerals coefficient: 0.0004\n",
"cluster: 6 funny coefficient: 0.0003\n",
"cluster: 6 funziona coefficient: 0.0008\n",
"cluster: 6 fusilan coefficient: 0.0003\n",
"cluster: 6 future coefficient: 0.0007\n",
"cluster: 6 futuro coefficient: 0.0008\n",
"cluster: 6 gaan coefficient: 0.0003\n",
"cluster: 6 gaat coefficient: 0.0005\n",
"cluster: 6 gacetillas coefficient: 0.0003\n",
"cluster: 6 gagne coefficient: 0.0003\n",
"cluster: 6 gallon coefficient: 0.0003\n",
"cluster: 6 gambe coefficient: 0.0005\n",
"cluster: 6 game coefficient: 0.0009\n",
"cluster: 6 games coefficient: 0.0003\n",
"cluster: 6 ganado coefficient: 0.0003\n",
"cluster: 6 ganan coefficient: 0.0004\n",
"cluster: 6 gandhi coefficient: 0.0008\n",
"cluster: 6 ganito coefficient: 0.0003\n",
"cluster: 6 gansu coefficient: 0.0004\n",
"cluster: 6 ganz coefficient: 0.0003\n",
"cluster: 6 gaps coefficient: 0.0004\n",
"cluster: 6 garbage coefficient: 0.0005\n",
"cluster: 6 garcia coefficient: 0.0003\n",
"cluster: 6 garcialuna coefficient: 0.0005\n",
"cluster: 6 gas coefficient: 0.0007\n",
"cluster: 6 gastar coefficient: 0.0004\n",
"cluster: 6 gathering coefficient: 0.0005\n",
"cluster: 6 gatherings coefficient: 0.0007\n",
"cluster: 6 gave coefficient: 0.0004\n",
"cluster: 6 gaza coefficient: 0.0004\n",
"cluster: 6 gazeta coefficient: 0.0003\n",
"cluster: 6 gb coefficient: 0.0003\n",
"cluster: 6 ge coefficient: 0.0004\n",
"cluster: 6 gegeven coefficient: 0.0002\n",
"cluster: 6 geht coefficient: 0.0004\n",
"cluster: 6 gel coefficient: 0.0010\n",
"cluster: 6 gelul coefficient: 0.0002\n",
"cluster: 6 gem coefficient: 0.0003\n",
"cluster: 6 gempa coefficient: 0.0002\n",
"cluster: 6 gene coefficient: 0.0004\n",
"cluster: 6 genera coefficient: 0.0004\n",
"cluster: 6 generado coefficient: 0.0003\n",
"cluster: 6 general coefficient: 0.0010\n",
"cluster: 6 generated coefficient: 0.0003\n",
"cluster: 6 genere coefficient: 0.0003\n",
"cluster: 6 genoeg coefficient: 0.0003\n",
"cluster: 6 gens coefficient: 0.0003\n",
"cluster: 6 gente coefficient: 0.0013\n",
"cluster: 6 ger coefficient: 0.0009\n",
"cluster: 6 german coefficient: 0.0004\n",
"cluster: 6 germans coefficient: 0.0003\n",
"cluster: 6 germany coefficient: 0.0010\n",
"cluster: 6 gestacional coefficient: 0.0004\n",
"cluster: 6 get coefficient: 0.0048\n",
"cluster: 6 gets coefficient: 0.0006\n",
"cluster: 6 getting coefficient: 0.0021\n",
"cluster: 6 getverderrie coefficient: 0.0003\n",
"cluster: 6 geworden coefficient: 0.0003\n",
"cluster: 6 ggplot coefficient: 0.0007\n",
"cluster: 6 ghalibaf coefficient: 0.0003\n",
"cluster: 6 gico coefficient: 0.0004\n",
"cluster: 6 gicos coefficient: 0.0003\n",
"cluster: 6 gif coefficient: 0.0004\n",
"cluster: 6 gigeconomy coefficient: 0.0014\n",
"cluster: 6 ginas coefficient: 0.0007\n",
"cluster: 6 gine coefficient: 0.0003\n",
"cluster: 6 gira coefficient: 0.0004\n",
"cluster: 6 girare coefficient: 0.0003\n",
"cluster: 6 girmeye coefficient: 0.0006\n",
"cluster: 6 giro coefficient: 0.0004\n",
"cluster: 6 give coefficient: 0.0012\n",
"cluster: 6 given coefficient: 0.0013\n",
"cluster: 6 giving coefficient: 0.0013\n",
"cluster: 6 gli coefficient: 0.0006\n",
"cluster: 6 glicerina coefficient: 0.0003\n",
"cluster: 6 global coefficient: 0.0027\n",
"cluster: 6 globales coefficient: 0.0003\n",
"cluster: 6 globalism coefficient: 0.0004\n",
"cluster: 6 globalist coefficient: 0.0003\n",
"cluster: 6 globalists coefficient: 0.0004\n",
"cluster: 6 globally coefficient: 0.0004\n",
"cluster: 6 gloves coefficient: 0.0004\n",
"cluster: 6 go coefficient: 0.0030\n",
"cluster: 6 goals coefficient: 0.0004\n",
"cluster: 6 goben coefficient: 0.0003\n",
"cluster: 6 gobernadora coefficient: 0.0004\n",
"cluster: 6 gobernantes coefficient: 0.0004\n",
"cluster: 6 gobiernito coefficient: 0.0003\n",
"cluster: 6 gobierno coefficient: 0.0034\n",
"cluster: 6 gobucks coefficient: 0.0004\n",
"cluster: 6 gobyerno coefficient: 0.0003\n",
"cluster: 6 god coefficient: 0.0006\n",
"cluster: 6 godkabir coefficient: 0.0003\n",
"cluster: 6 godmorningwednesday coefficient: 0.0003\n",
"cluster: 6 goed coefficient: 0.0002\n",
"cluster: 6 goes coefficient: 0.0006\n",
"cluster: 6 going coefficient: 0.0028\n",
"cluster: 6 gon coefficient: 0.0004\n",
"cluster: 6 gonna coefficient: 0.0007\n",
"cluster: 6 good coefficient: 0.0047\n",
"cluster: 6 goodness coefficient: 0.0010\n",
"cluster: 6 google coefficient: 0.0009\n",
"cluster: 6 googleen coefficient: 0.0004\n",
"cluster: 6 gop coefficient: 0.0007\n",
"cluster: 6 gorsellere coefficient: 0.0003\n",
"cluster: 6 gosh coefficient: 0.0004\n",
"cluster: 6 got coefficient: 0.0037\n",
"cluster: 6 gouging coefficient: 0.0003\n",
"cluster: 6 gov coefficient: 0.0004\n",
"cluster: 6 government coefficient: 0.0043\n",
"cluster: 6 governo coefficient: 0.0004\n",
"cluster: 6 governor coefficient: 0.0011\n",
"cluster: 6 governors coefficient: 0.0007\n",
"cluster: 6 govt coefficient: 0.0003\n",
"cluster: 6 gp coefficient: 0.0003\n",
"cluster: 6 gr coefficient: 0.0012\n",
"cluster: 6 gra coefficient: 0.0003\n",
"cluster: 6 grab coefficient: 0.0003\n",
"cluster: 6 grade coefficient: 0.0004\n",
"cluster: 6 gran coefficient: 0.0010\n",
"cluster: 6 granada coefficient: 0.0009\n",
"cluster: 6 grand coefficient: 0.0003\n",
"cluster: 6 grande coefficient: 0.0004\n",
"cluster: 6 grandes coefficient: 0.0003\n",
"cluster: 6 grandparents coefficient: 0.0006\n",
"cluster: 6 grandprincess coefficient: 0.0008\n",
"cluster: 6 granted coefficient: 0.0004\n",
"cluster: 6 graphic coefficient: 0.0009\n",
"cluster: 6 gratis coefficient: 0.0005\n",
"cluster: 6 gratuito coefficient: 0.0003\n",
"cluster: 6 grave coefficient: 0.0014\n",
"cluster: 6 grazieanomeditutti coefficient: 0.0006\n",
"cluster: 6 great coefficient: 0.0027\n",
"cluster: 6 grecque coefficient: 0.0003\n",
"cluster: 6 greffex coefficient: 0.0005\n",
"cluster: 6 greg coefficient: 0.0003\n",
"cluster: 6 grenzg coefficient: 0.0006\n",
"cluster: 6 gretchen coefficient: 0.0008\n",
"cluster: 6 grillo coefficient: 0.0005\n",
"cluster: 6 gripe coefficient: 0.0009\n",
"cluster: 6 grippe coefficient: 0.0003\n",
"cluster: 6 gro coefficient: 0.0003\n",
"cluster: 6 grocery coefficient: 0.0003\n",
"cluster: 6 gross coefficient: 0.0004\n",
"cluster: 6 ground coefficient: 0.0008\n",
"cluster: 6 group coefficient: 0.0005\n",
"cluster: 6 groups coefficient: 0.0004\n",
"cluster: 6 grow coefficient: 0.0004\n",
"cluster: 6 growing coefficient: 0.0004\n",
"cluster: 6 grupos coefficient: 0.0006\n",
"cluster: 6 guard coefficient: 0.0003\n",
"cluster: 6 guasu coefficient: 0.0013\n",
"cluster: 6 guess coefficient: 0.0003\n",
"cluster: 6 guest coefficient: 0.0004\n",
"cluster: 6 guidelines coefficient: 0.0007\n",
"cluster: 6 guinea coefficient: 0.0003\n",
"cluster: 6 guise coefficient: 0.0004\n",
"cluster: 6 gump coefficient: 0.0004\n",
"cluster: 6 gunners coefficient: 0.0003\n",
"cluster: 6 gustar coefficient: 0.0003\n",
"cluster: 6 gusto coefficient: 0.0003\n",
"cluster: 6 guy coefficient: 0.0013\n",
"cluster: 6 guys coefficient: 0.0004\n",
"cluster: 6 gym coefficient: 0.0004\n",
"cluster: 6 hab coefficient: 0.0003\n",
"cluster: 6 haber coefficient: 0.0003\n",
"cluster: 6 habilitada coefficient: 0.0004\n",
"cluster: 6 habla coefficient: 0.0005\n",
"cluster: 6 hablaban coefficient: 0.0003\n",
"cluster: 6 hablamos coefficient: 0.0005\n",
"cluster: 6 hablan coefficient: 0.0003\n",
"cluster: 6 hablar coefficient: 0.0004\n",
"cluster: 6 habr coefficient: 0.0004\n",
"cluster: 6 hace coefficient: 0.0010\n",
"cluster: 6 hacer coefficient: 0.0015\n",
"cluster: 6 hacerlo coefficient: 0.0004\n",
"cluster: 6 hacerlos coefficient: 0.0004\n",
"cluster: 6 hacia coefficient: 0.0003\n",
"cluster: 6 hackett coefficient: 0.0003\n",
"cluster: 6 hadits coefficient: 0.0002\n",
"cluster: 6 hafta coefficient: 0.0006\n",
"cluster: 6 haga coefficient: 0.0003\n",
"cluster: 6 hakk coefficient: 0.0005\n",
"cluster: 6 halamadrid coefficient: 0.0004\n",
"cluster: 6 half coefficient: 0.0018\n",
"cluster: 6 halls coefficient: 0.0003\n",
"cluster: 6 halt coefficient: 0.0007\n",
"cluster: 6 haman coefficient: 0.0006\n",
"cluster: 6 hampshire coefficient: 0.0004\n",
"cluster: 6 hamstring coefficient: 0.0003\n",
"cluster: 6 hand coefficient: 0.0014\n",
"cluster: 6 handelen coefficient: 0.0003\n",
"cluster: 6 handhaven coefficient: 0.0003\n",
"cluster: 6 handle coefficient: 0.0007\n",
"cluster: 6 handlings coefficient: 0.0003\n",
"cluster: 6 hands coefficient: 0.0034\n",
"cluster: 6 hannity coefficient: 0.0004\n",
"cluster: 6 hanno coefficient: 0.0003\n",
"cluster: 6 happen coefficient: 0.0009\n",
"cluster: 6 happening coefficient: 0.0016\n",
"cluster: 6 happiness coefficient: 0.0003\n",
"cluster: 6 happy coefficient: 0.0006\n",
"cluster: 6 hard coefficient: 0.0016\n",
"cluster: 6 hardest coefficient: 0.0007\n",
"cluster: 6 hardworking coefficient: 0.0003\n",
"cluster: 6 haremos coefficient: 0.0003\n",
"cluster: 6 hari coefficient: 0.0005\n",
"cluster: 6 harm coefficient: 0.0011\n",
"cluster: 6 harvard coefficient: 0.0003\n",
"cluster: 6 hasnt coefficient: 0.0005\n",
"cluster: 6 hassan coefficient: 0.0007\n",
"cluster: 6 hat coefficient: 0.0004\n",
"cluster: 6 hatchett coefficient: 0.0004\n",
"cluster: 6 hauts coefficient: 0.0003\n",
"cluster: 6 havoc coefficient: 0.0003\n",
"cluster: 6 havre coefficient: 0.0003\n",
"cluster: 6 hcws coefficient: 0.0003\n",
"cluster: 6 head coefficient: 0.0009\n",
"cluster: 6 heading coefficient: 0.0007\n",
"cluster: 6 heads coefficient: 0.0013\n",
"cluster: 6 headwinds coefficient: 0.0004\n",
"cluster: 6 healer coefficient: 0.0003\n",
"cluster: 6 health coefficient: 0.0080\n",
"cluster: 6 healthcare coefficient: 0.0018\n",
"cluster: 6 healthy coefficient: 0.0019\n",
"cluster: 6 heaped coefficient: 0.0003\n",
"cluster: 6 hear coefficient: 0.0004\n",
"cluster: 6 heard coefficient: 0.0006\n",
"cluster: 6 hearing coefficient: 0.0011\n",
"cluster: 6 hearings coefficient: 0.0003\n",
"cluster: 6 heartbreaking coefficient: 0.0003\n",
"cluster: 6 hearts coefficient: 0.0003\n",
"cluster: 6 heavy coefficient: 0.0003\n",
"cluster: 6 hecho coefficient: 0.0004\n",
"cluster: 6 hekimler coefficient: 0.0003\n",
"cluster: 6 hekimlerin coefficient: 0.0003\n",
"cluster: 6 held coefficient: 0.0006\n",
"cluster: 6 helen coefficient: 0.0007\n",
"cluster: 6 help coefficient: 0.0037\n",
"cluster: 6 helpful coefficient: 0.0007\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"cluster: 6 helping coefficient: 0.0006\n",
"cluster: 6 henry coefficient: 0.0010\n",
"cluster: 6 hermanos coefficient: 0.0006\n",
"cluster: 6 hero coefficient: 0.0003\n",
"cluster: 6 hervida coefficient: 0.0003\n",
"cluster: 6 het coefficient: 0.0003\n",
"cluster: 6 hey coefficient: 0.0011\n",
"cluster: 6 hezbollah coefficient: 0.0007\n",
"cluster: 6 hi coefficient: 0.0004\n",
"cluster: 6 hice coefficient: 0.0003\n",
"cluster: 6 hicieron coefficient: 0.0004\n",
"cluster: 6 hide coefficient: 0.0005\n",
"cluster: 6 hiding coefficient: 0.0003\n",
"cluster: 6 hier coefficient: 0.0002\n",
"cluster: 6 hiervoor coefficient: 0.0003\n",
"cluster: 6 high coefficient: 0.0020\n",
"cluster: 6 higher coefficient: 0.0012\n",
"cluster: 6 highest coefficient: 0.0010\n",
"cluster: 6 highly coefficient: 0.0003\n",
"cluster: 6 higiene coefficient: 0.0003\n",
"cluster: 6 hijos coefficient: 0.0006\n",
"cluster: 6 hill coefficient: 0.0004\n",
"cluster: 6 hilo coefficient: 0.0010\n",
"cluster: 6 hinder coefficient: 0.0004\n",
"cluster: 6 hindi coefficient: 0.0003\n",
"cluster: 6 hiperconectividad coefficient: 0.0004\n",
"cluster: 6 histeria coefficient: 0.0003\n",
"cluster: 6 history coefficient: 0.0009\n",
"cluster: 6 hit coefficient: 0.0017\n",
"cluster: 6 hizo coefficient: 0.0009\n",
"cluster: 6 hmm coefficient: 0.0004\n",
"cluster: 6 hmmm coefficient: 0.0005\n",
"cluster: 6 hmmmmm coefficient: 0.0005\n",
"cluster: 6 hoarder coefficient: 0.0005\n",
"cluster: 6 hoax coefficient: 0.0003\n",
"cluster: 6 hobby coefficient: 0.0003\n",
"cluster: 6 hockey coefficient: 0.0003\n",
"cluster: 6 hoe coefficient: 0.0003\n",
"cluster: 6 hold coefficient: 0.0022\n",
"cluster: 6 holding coefficient: 0.0003\n",
"cluster: 6 holdthesenate coefficient: 0.0004\n",
"cluster: 6 hole coefficient: 0.0004\n",
"cluster: 6 holi coefficient: 0.0013\n",
"cluster: 6 holiday coefficient: 0.0003\n",
"cluster: 6 holy coefficient: 0.0006\n",
"cluster: 6 hombres coefficient: 0.0005\n",
"cluster: 6 home coefficient: 0.0047\n",
"cluster: 6 homelearning coefficient: 0.0004\n",
"cluster: 6 homeless coefficient: 0.0007\n",
"cluster: 6 homes coefficient: 0.0006\n",
"cluster: 6 homme coefficient: 0.0003\n",
"cluster: 6 honestly coefficient: 0.0004\n",
"cluster: 6 honeymoon coefficient: 0.0003\n",
"cluster: 6 hong coefficient: 0.0004\n",
"cluster: 6 hontederien coefficient: 0.0004\n",
"cluster: 6 hoop coefficient: 0.0003\n",
"cluster: 6 hope coefficient: 0.0009\n",
"cluster: 6 hopefully coefficient: 0.0010\n",
"cluster: 6 hopes coefficient: 0.0009\n",
"cluster: 6 hoping coefficient: 0.0003\n",
"cluster: 6 hora coefficient: 0.0015\n",
"cluster: 6 horas coefficient: 0.0004\n",
"cluster: 6 horno coefficient: 0.0005\n",
"cluster: 6 horrified coefficient: 0.0003\n",
"cluster: 6 horrifying coefficient: 0.0004\n",
"cluster: 6 hors coefficient: 0.0003\n",
"cluster: 6 hospit coefficient: 0.0003\n",
"cluster: 6 hospital coefficient: 0.0025\n",
"cluster: 6 hospitales coefficient: 0.0009\n",
"cluster: 6 hospitalizadas coefficient: 0.0003\n",
"cluster: 6 hospitals coefficient: 0.0004\n",
"cluster: 6 hostages coefficient: 0.0003\n",
"cluster: 6 hosted coefficient: 0.0003\n",
"cluster: 6 hotel coefficient: 0.0004\n",
"cluster: 6 hotline coefficient: 0.0006\n",
"cluster: 6 hour coefficient: 0.0008\n",
"cluster: 6 hourly coefficient: 0.0003\n",
"cluster: 6 hours coefficient: 0.0012\n",
"cluster: 6 house coefficient: 0.0015\n",
"cluster: 6 however coefficient: 0.0003\n",
"cluster: 6 hoy coefficient: 0.0026\n",
"cluster: 6 hoynostocaverano coefficient: 0.0005\n",
"cluster: 6 hrs coefficient: 0.0003\n",
"cluster: 6 hrung coefficient: 0.0003\n",
"cluster: 6 hss coefficient: 0.0004\n",
"cluster: 6 hu coefficient: 0.0005\n",
"cluster: 6 hugged coefficient: 0.0003\n",
"cluster: 6 human coefficient: 0.0004\n",
"cluster: 6 humanity coefficient: 0.0003\n",
"cluster: 6 humanityfirst coefficient: 0.0004\n",
"cluster: 6 humo coefficient: 0.0004\n",
"cluster: 6 hun coefficient: 0.0003\n",
"cluster: 6 hunch coefficient: 0.0004\n",
"cluster: 6 hundred coefficient: 0.0008\n",
"cluster: 6 hunt coefficient: 0.0003\n",
"cluster: 6 hunterbiden coefficient: 0.0004\n",
"cluster: 6 hurricane coefficient: 0.0011\n",
"cluster: 6 husband coefficient: 0.0003\n",
"cluster: 6 huwag coefficient: 0.0004\n",
"cluster: 6 hygi coefficient: 0.0003\n",
"cluster: 6 hygiene coefficient: 0.0003\n",
"cluster: 6 hype coefficient: 0.0003\n",
"cluster: 6 hysteria coefficient: 0.0003\n",
"cluster: 6 ia coefficient: 0.0005\n",
"cluster: 6 iba coefficient: 0.0004\n",
"cluster: 6 iceland coefficient: 0.0004\n",
"cluster: 6 idahoprimary coefficient: 0.0003\n",
"cluster: 6 idea coefficient: 0.0003\n",
"cluster: 6 identified coefficient: 0.0004\n",
"cluster: 6 identity coefficient: 0.0003\n",
"cluster: 6 idiocracia coefficient: 0.0008\n",
"cluster: 6 idiocy coefficient: 0.0004\n",
"cluster: 6 idtwitter coefficient: 0.0004\n",
"cluster: 6 ifresiz coefficient: 0.0005\n",
"cluster: 6 ignorance coefficient: 0.0010\n",
"cluster: 6 ignorant coefficient: 0.0004\n",
"cluster: 6 ignored coefficient: 0.0004\n",
"cluster: 6 ignoring coefficient: 0.0003\n",
"cluster: 6 igual coefficient: 0.0004\n",
"cluster: 6 igualmente coefficient: 0.0004\n",
"cluster: 6 ihanomar coefficient: 0.0004\n",
"cluster: 6 ihtiyacimiz coefficient: 0.0003\n",
"cluster: 6 ik coefficient: 0.0009\n",
"cluster: 6 ilang coefficient: 0.0004\n",
"cluster: 6 illegal coefficient: 0.0003\n",
"cluster: 6 illegally coefficient: 0.0003\n",
"cluster: 6 im coefficient: 0.0006\n",
"cluster: 6 imag coefficient: 0.0004\n",
"cluster: 6 image coefficient: 0.0004\n",
"cluster: 6 imammahdi coefficient: 0.0003\n",
"cluster: 6 imdi coefficient: 0.0003\n",
"cluster: 6 immediately coefficient: 0.0007\n",
"cluster: 6 immune coefficient: 0.0006\n",
"cluster: 6 immunity coefficient: 0.0010\n",
"cluster: 6 immunosuppression coefficient: 0.0006\n",
"cluster: 6 impacted coefficient: 0.0003\n",
"cluster: 6 impacto coefficient: 0.0014\n",
"cluster: 6 imparten coefficient: 0.0003\n",
"cluster: 6 impeachbarr coefficient: 0.0004\n",
"cluster: 6 impeachtrump coefficient: 0.0004\n",
"cluster: 6 imperativo coefficient: 0.0003\n",
"cluster: 6 implement coefficient: 0.0007\n",
"cluster: 6 implementaran coefficient: 0.0003\n",
"cluster: 6 implementing coefficient: 0.0004\n",
"cluster: 6 importa coefficient: 0.0003\n",
"cluster: 6 importaci coefficient: 0.0004\n",
"cluster: 6 important coefficient: 0.0034\n",
"cluster: 6 importante coefficient: 0.0007\n",
"cluster: 6 impose coefficient: 0.0004\n",
"cluster: 6 imposed coefficient: 0.0006\n",
"cluster: 6 impressions coefficient: 0.0007\n",
"cluster: 6 impressive coefficient: 0.0004\n",
"cluster: 6 improvisando coefficient: 0.0003\n",
"cluster: 6 impulsion coefficient: 0.0003\n",
"cluster: 6 imserso coefficient: 0.0003\n",
"cluster: 6 inabi coefficient: 0.0003\n",
"cluster: 6 inacci coefficient: 0.0003\n",
"cluster: 6 inacinforma coefficient: 0.0004\n",
"cluster: 6 inadequate coefficient: 0.0003\n",
"cluster: 6 inaudito coefficient: 0.0003\n",
"cluster: 6 incapace coefficient: 0.0002\n",
"cluster: 6 incapaci coefficient: 0.0004\n",
"cluster: 6 incapacidad coefficient: 0.0003\n",
"cluster: 6 incendiar coefficient: 0.0003\n",
"cluster: 6 include coefficient: 0.0003\n",
"cluster: 6 includes coefficient: 0.0005\n",
"cluster: 6 including coefficient: 0.0006\n",
"cluster: 6 incluso coefficient: 0.0003\n",
"cluster: 6 incoherent coefficient: 0.0005\n",
"cluster: 6 incompetence coefficient: 0.0013\n",
"cluster: 6 incompetent coefficient: 0.0009\n",
"cluster: 6 incompetente coefficient: 0.0004\n",
"cluster: 6 inconveniente coefficient: 0.0004\n",
"cluster: 6 increase coefficient: 0.0014\n",
"cluster: 6 incredibile coefficient: 0.0003\n",
"cluster: 6 incredible coefficient: 0.0005\n",
"cluster: 6 incredibly coefficient: 0.0008\n",
"cluster: 6 increible coefficient: 0.0003\n",
"cluster: 6 incremento coefficient: 0.0004\n",
"cluster: 6 incubation coefficient: 0.0004\n",
"cluster: 6 ind coefficient: 0.0015\n",
"cluster: 6 indecisive coefficient: 0.0003\n",
"cluster: 6 indefinitely coefficient: 0.0007\n",
"cluster: 6 indestructibles coefficient: 0.0005\n",
"cluster: 6 india coefficient: 0.0037\n",
"cluster: 6 indian coefficient: 0.0010\n",
"cluster: 6 indians coefficient: 0.0003\n",
"cluster: 6 indicaciones coefficient: 0.0004\n",
"cluster: 6 indicating coefficient: 0.0004\n",
"cluster: 6 individual coefficient: 0.0004\n",
"cluster: 6 individuales coefficient: 0.0004\n",
"cluster: 6 individualism coefficient: 0.0003\n",
"cluster: 6 induce coefficient: 0.0003\n",
"cluster: 6 industries coefficient: 0.0006\n",
"cluster: 6 industry coefficient: 0.0005\n",
"cluster: 6 inept coefficient: 0.0009\n",
"cluster: 6 inevitable coefficient: 0.0003\n",
"cluster: 6 inevitably coefficient: 0.0003\n",
"cluster: 6 infecciones coefficient: 0.0006\n",
"cluster: 6 infect coefficient: 0.0013\n",
"cluster: 6 infectados coefficient: 0.0019\n",
"cluster: 6 infectarse coefficient: 0.0005\n",
"cluster: 6 infected coefficient: 0.0023\n",
"cluster: 6 infection coefficient: 0.0019\n",
"cluster: 6 infections coefficient: 0.0004\n",
"cluster: 6 infectious coefficient: 0.0014\n",
"cluster: 6 infectiousness coefficient: 0.0004\n",
"cluster: 6 infects coefficient: 0.0005\n",
"cluster: 6 infini coefficient: 0.0003\n",
"cluster: 6 inflammation coefficient: 0.0008\n",
"cluster: 6 info coefficient: 0.0025\n",
"cluster: 6 infocoronavirus coefficient: 0.0005\n",
"cluster: 6 infographic coefficient: 0.0015\n",
"cluster: 6 informa coefficient: 0.0006\n",
"cluster: 6 informaci coefficient: 0.0043\n",
"cluster: 6 informacion coefficient: 0.0003\n",
"cluster: 6 informado coefficient: 0.0006\n",
"cluster: 6 informarnos coefficient: 0.0003\n",
"cluster: 6 informaron coefficient: 0.0004\n",
"cluster: 6 information coefficient: 0.0023\n",
"cluster: 6 informativas coefficient: 0.0003\n",
"cluster: 6 informativo coefficient: 0.0003\n",
"cluster: 6 informe coefficient: 0.0007\n",
"cluster: 6 informed coefficient: 0.0007\n",
"cluster: 6 informo coefficient: 0.0003\n",
"cluster: 6 ingenier coefficient: 0.0003\n",
"cluster: 6 ingrahamangle coefficient: 0.0005\n",
"cluster: 6 ingresen coefficient: 0.0004\n",
"cluster: 6 inhumane coefficient: 0.0005\n",
"cluster: 6 ini coefficient: 0.0005\n",
"cluster: 6 inicial coefficient: 0.0003\n",
"cluster: 6 iniciativa coefficient: 0.0003\n",
"cluster: 6 inimaginable coefficient: 0.0005\n",
"cluster: 6 inmediato coefficient: 0.0003\n",
"cluster: 6 inoculum coefficient: 0.0003\n",
"cluster: 6 inquiries coefficient: 0.0004\n",
"cluster: 6 insane coefficient: 0.0011\n",
"cluster: 6 inshallah coefficient: 0.0005\n",
"cluster: 6 insieme coefficient: 0.0002\n",
"cluster: 6 inspect coefficient: 0.0003\n",
"cluster: 6 inspired coefficient: 0.0003\n",
"cluster: 6 install coefficient: 0.0005\n",
"cluster: 6 instead coefficient: 0.0012\n",
"cluster: 6 institute coefficient: 0.0004\n",
"cluster: 6 institutomalbran coefficient: 0.0004\n",
"cluster: 6 institutos coefficient: 0.0003\n",
"cluster: 6 insulting coefficient: 0.0003\n",
"cluster: 6 insumos coefficient: 0.0003\n",
"cluster: 6 insurance coefficient: 0.0017\n",
"cluster: 6 int coefficient: 0.0004\n",
"cluster: 6 intelligence coefficient: 0.0004\n",
"cluster: 6 intensive coefficient: 0.0004\n",
"cluster: 6 intentionally coefficient: 0.0004\n",
"cluster: 6 interconnected coefficient: 0.0003\n",
"cluster: 6 interesante coefficient: 0.0006\n",
"cluster: 6 interested coefficient: 0.0004\n",
"cluster: 6 interesting coefficient: 0.0014\n",
"cluster: 6 internacional coefficient: 0.0021\n",
"cluster: 6 internacionales coefficient: 0.0005\n",
"cluster: 6 internada coefficient: 0.0003\n",
"cluster: 6 international coefficient: 0.0006\n",
"cluster: 6 internet coefficient: 0.0003\n",
"cluster: 6 interno coefficient: 0.0004\n",
"cluster: 6 intervenci coefficient: 0.0003\n",
"cluster: 6 inundated coefficient: 0.0004\n",
"cluster: 6 invaluable coefficient: 0.0003\n",
"cluster: 6 inveros coefficient: 0.0003\n",
"cluster: 6 inversi coefficient: 0.0004\n",
"cluster: 6 investiga coefficient: 0.0003\n",
"cluster: 6 investigaci coefficient: 0.0005\n",
"cluster: 6 investigaciones coefficient: 0.0004\n",
"cluster: 6 investigation coefficient: 0.0004\n",
"cluster: 6 invierno coefficient: 0.0003\n",
"cluster: 6 invita coefficient: 0.0003\n",
"cluster: 6 invitados coefficient: 0.0004\n",
"cluster: 6 iorestoacasa coefficient: 0.0006\n",
"cluster: 6 ir coefficient: 0.0022\n",
"cluster: 6 iran coefficient: 0.0059\n",
"cluster: 6 iranian coefficient: 0.0010\n",
"cluster: 6 iranians coefficient: 0.0003\n",
"cluster: 6 irene coefficient: 0.0006\n",
"cluster: 6 irrespective coefficient: 0.0003\n",
"cluster: 6 irresponsabilidad coefficient: 0.0004\n",
"cluster: 6 irreversible coefficient: 0.0004\n",
"cluster: 6 irritating coefficient: 0.0003\n",
"cluster: 6 isolado coefficient: 0.0003\n",
"cluster: 6 isolate coefficient: 0.0012\n",
"cluster: 6 isolation coefficient: 0.0006\n",
"cluster: 6 israel coefficient: 0.0029\n",
"cluster: 6 israelies coefficient: 0.0004\n",
"cluster: 6 iss coefficient: 0.0003\n",
"cluster: 6 issues coefficient: 0.0005\n",
"cluster: 6 ist coefficient: 0.0011\n",
"cluster: 6 istruzioni coefficient: 0.0006\n",
"cluster: 6 itali coefficient: 0.0002\n",
"cluster: 6 italia coefficient: 0.0037\n",
"cluster: 6 italian coefficient: 0.0020\n",
"cluster: 6 italianas coefficient: 0.0002\n",
"cluster: 6 italiano coefficient: 0.0009\n",
"cluster: 6 italians coefficient: 0.0003\n",
"cluster: 6 italie coefficient: 0.0016\n",
"cluster: 6 italien coefficient: 0.0003\n",
"cluster: 6 italienischen coefficient: 0.0003\n",
"cluster: 6 italienne coefficient: 0.0004\n",
"cluster: 6 italiens coefficient: 0.0003\n",
"cluster: 6 italijanska coefficient: 0.0003\n",
"cluster: 6 italy coefficient: 0.0044\n",
"cluster: 6 italylockdown coefficient: 0.0007\n",
"cluster: 6 italystaystrong coefficient: 0.0006\n",
"cluster: 6 itibariyle coefficient: 0.0006\n",
"cluster: 6 itim coefficient: 0.0003\n",
"cluster: 6 itimbakanl coefficient: 0.0005\n",
"cluster: 6 itu coefficient: 0.0003\n",
"cluster: 6 iyi coefficient: 0.0003\n",
"cluster: 6 izquierdo coefficient: 0.0005\n",
"cluster: 6 jab coefficient: 0.0008\n",
"cluster: 6 jabones coefficient: 0.0003\n",
"cluster: 6 jack coefficient: 0.0004\n",
"cluster: 6 jailed coefficient: 0.0003\n",
"cluster: 6 jair coefficient: 0.0005\n",
"cluster: 6 jaisalmer coefficient: 0.0007\n",
"cluster: 6 jam coefficient: 0.0003\n",
"cluster: 6 james coefficient: 0.0003\n",
"cluster: 6 jammu coefficient: 0.0004\n",
"cluster: 6 january coefficient: 0.0019\n",
"cluster: 6 jap coefficient: 0.0004\n",
"cluster: 6 japan coefficient: 0.0009\n",
"cluster: 6 japon coefficient: 0.0004\n",
"cluster: 6 jaren coefficient: 0.0003\n",
"cluster: 6 jarringly coefficient: 0.0004\n",
"cluster: 6 jazz coefficient: 0.0003\n",
"cluster: 6 jce coefficient: 0.0004\n",
"cluster: 6 jersey coefficient: 0.0004\n",
"cluster: 6 jesus coefficient: 0.0007\n",
"cluster: 6 jet coefficient: 0.0004\n",
"cluster: 6 jetzt coefficient: 0.0003\n",
"cluster: 6 ji coefficient: 0.0006\n",
"cluster: 6 jinping coefficient: 0.0009\n",
"cluster: 6 job coefficient: 0.0014\n",
"cluster: 6 jobs coefficient: 0.0004\n",
"cluster: 6 joe coefficient: 0.0013\n",
"cluster: 6 joebiden coefficient: 0.0007\n",
"cluster: 6 johnson coefficient: 0.0008\n",
"cluster: 6 joined coefficient: 0.0004\n",
"cluster: 6 joins coefficient: 0.0005\n",
"cluster: 6 joking coefficient: 0.0003\n",
"cluster: 6 jordan coefficient: 0.0004\n",
"cluster: 6 joueur coefficient: 0.0003\n",
"cluster: 6 joueurs coefficient: 0.0012\n",
"cluster: 6 jour coefficient: 0.0007\n",
"cluster: 6 journalismhasdiedindarkness coefficient: 0.0004\n",
"cluster: 6 journalist coefficient: 0.0006\n",
"cluster: 6 journalistes coefficient: 0.0003\n",
"cluster: 6 journals coefficient: 0.0003\n",
"cluster: 6 jours coefficient: 0.0006\n",
"cluster: 6 jugadores coefficient: 0.0009\n",
"cluster: 6 jugando coefficient: 0.0004\n",
"cluster: 6 jugar coefficient: 0.0005\n",
"cluster: 6 julian coefficient: 0.0004\n",
"cluster: 6 julianassange coefficient: 0.0004\n",
"cluster: 6 july coefficient: 0.0006\n",
"cluster: 6 junior coefficient: 0.0004\n",
"cluster: 6 juntos coefficient: 0.0003\n",
"cluster: 6 juntossomosm coefficient: 0.0004\n",
"cluster: 6 juntostodoesposible coefficient: 0.0004\n",
"cluster: 6 justicia coefficient: 0.0003\n",
"cluster: 6 kag coefficient: 0.0004\n",
"cluster: 6 kaglandslidevictory coefficient: 0.0004\n",
"cluster: 6 kako coefficient: 0.0003\n",
"cluster: 6 karam coefficient: 0.0005\n",
"cluster: 6 karnataka coefficient: 0.0004\n",
"cluster: 6 kasturi coefficient: 0.0004\n",
"cluster: 6 kata coefficient: 0.0002\n",
"cluster: 6 kayo coefficient: 0.0003\n",
"cluster: 6 kbakanl coefficient: 0.0010\n",
"cluster: 6 kcr coefficient: 0.0004\n",
"cluster: 6 keep coefficient: 0.0029\n",
"cluster: 6 keeping coefficient: 0.0006\n",
"cluster: 6 kejriwal coefficient: 0.0003\n",
"cluster: 6 kept coefficient: 0.0004\n",
"cluster: 6 kerala coefficient: 0.0015\n",
"cluster: 6 kerja coefficient: 0.0005\n",
"cluster: 6 kesyo coefficient: 0.0003\n",
"cluster: 6 key coefficient: 0.0003\n",
"cluster: 6 kicking coefficient: 0.0003\n",
"cluster: 6 kid coefficient: 0.0004\n",
"cluster: 6 kidney coefficient: 0.0003\n",
"cluster: 6 kids coefficient: 0.0024\n",
"cluster: 6 kill coefficient: 0.0004\n",
"cluster: 6 killed coefficient: 0.0009\n",
"cluster: 6 killing coefficient: 0.0005\n",
"cluster: 6 kinderen coefficient: 0.0003\n",
"cluster: 6 kinds coefficient: 0.0008\n",
"cluster: 6 king coefficient: 0.0004\n",
"cluster: 6 kirei coefficient: 0.0014\n",
"cluster: 6 kits coefficient: 0.0009\n",
"cluster: 6 kk coefficient: 0.0003\n",
"cluster: 6 klar coefficient: 0.0003\n",
"cluster: 6 klase coefficient: 0.0003\n",
"cluster: 6 knapp coefficient: 0.0003\n",
"cluster: 6 knobs coefficient: 0.0005\n",
"cluster: 6 know coefficient: 0.0040\n",
"cluster: 6 known coefficient: 0.0012\n",
"cluster: 6 knows coefficient: 0.0007\n",
"cluster: 6 ko coefficient: 0.0008\n",
"cluster: 6 kobe coefficient: 0.0006\n",
"cluster: 6 kom coefficient: 0.0002\n",
"cluster: 6 komen coefficient: 0.0005\n",
"cluster: 6 kommen coefficient: 0.0003\n",
"cluster: 6 kong coefficient: 0.0004\n",
"cluster: 6 kook coefficient: 0.0003\n",
"cluster: 6 korana coefficient: 0.0006\n",
"cluster: 6 korea coefficient: 0.0021\n",
"cluster: 6 korona coefficient: 0.0009\n",
"cluster: 6 koronawirus coefficient: 0.0011\n",
"cluster: 6 koronowirus coefficient: 0.0005\n",
"cluster: 6 kosovo coefficient: 0.0010\n",
"cluster: 6 krijgen coefficient: 0.0002\n",
"cluster: 6 ksrelief coefficient: 0.0004\n",
"cluster: 6 ktv coefficient: 0.0012\n",
"cluster: 6 kudlow coefficient: 0.0007\n",
"cluster: 6 kumbia coefficient: 0.0003\n",
"cluster: 6 kundi coefficient: 0.0003\n",
"cluster: 6 kwalijk coefficient: 0.0003\n",
"cluster: 6 lab coefficient: 0.0008\n",
"cluster: 6 label coefficient: 0.0004\n",
"cluster: 6 labilir coefficient: 0.0003\n",
"cluster: 6 labor coefficient: 0.0003\n",
"cluster: 6 laboral coefficient: 0.0003\n",
"cluster: 6 laborales coefficient: 0.0004\n",
"cluster: 6 laboratorial coefficient: 0.0003\n",
"cluster: 6 laboratorio coefficient: 0.0005\n",
"cluster: 6 laboratorios coefficient: 0.0003\n",
"cluster: 6 labs coefficient: 0.0007\n",
"cluster: 6 lacayos coefficient: 0.0003\n",
"cluster: 6 lack coefficient: 0.0009\n",
"cluster: 6 lacosacomoes coefficient: 0.0003\n",
"cluster: 6 lados coefficient: 0.0004\n",
"cluster: 6 lage coefficient: 0.0004\n",
"cluster: 6 lago coefficient: 0.0009\n",
"cluster: 6 laid coefficient: 0.0004\n",
"cluster: 6 laliga coefficient: 0.0004\n",
"cluster: 6 lamang coefficient: 0.0004\n",
"cluster: 6 lamar coefficient: 0.0003\n",
"cluster: 6 lamitadm coefficient: 0.0004\n",
"cluster: 6 lan coefficient: 0.0004\n",
"cluster: 6 land coefficient: 0.0003\n",
"cluster: 6 lang coefficient: 0.0003\n",
"cluster: 6 language coefficient: 0.0004\n",
"cluster: 6 languages coefficient: 0.0004\n",
"cluster: 6 laptop coefficient: 0.0003\n",
"cluster: 6 lar coefficient: 0.0005\n",
"cluster: 6 lares coefficient: 0.0005\n",
"cluster: 6 large coefficient: 0.0006\n",
"cluster: 6 largest coefficient: 0.0007\n",
"cluster: 6 larijani coefficient: 0.0003\n",
"cluster: 6 last coefficient: 0.0015\n",
"cluster: 6 lataquilla coefficient: 0.0004\n",
"cluster: 6 late coefficient: 0.0004\n",
"cluster: 6 later coefficient: 0.0009\n",
"cluster: 6 latest coefficient: 0.0030\n",
"cluster: 6 latina coefficient: 0.0003\n",
"cluster: 6 laughing coefficient: 0.0005\n",
"cluster: 6 laureate coefficient: 0.0004\n",
"cluster: 6 lavado coefficient: 0.0008\n",
"cluster: 6 lavadodemanos coefficient: 0.0006\n",
"cluster: 6 lavandina coefficient: 0.0004\n",
"cluster: 6 lavarlas coefficient: 0.0004\n",
"cluster: 6 lavas coefficient: 0.0004\n",
"cluster: 6 laver coefficient: 0.0005\n",
"cluster: 6 law coefficient: 0.0006\n",
"cluster: 6 lazy coefficient: 0.0004\n",
"cluster: 6 lbsu coefficient: 0.0006\n",
"cluster: 6 lead coefficient: 0.0003\n",
"cluster: 6 leader coefficient: 0.0012\n",
"cluster: 6 leaders coefficient: 0.0003\n",
"cluster: 6 leadership coefficient: 0.0009\n",
"cluster: 6 leading coefficient: 0.0006\n",
"cluster: 6 leads coefficient: 0.0004\n",
"cluster: 6 leaks coefficient: 0.0004\n",
"cluster: 6 learn coefficient: 0.0022\n",
"cluster: 6 least coefficient: 0.0021\n",
"cluster: 6 leave coefficient: 0.0018\n",
"cluster: 6 leaves coefficient: 0.0004\n",
"cluster: 6 leaving coefficient: 0.0013\n",
"cluster: 6 lebanese coefficient: 0.0003\n",
"cluster: 6 led coefficient: 0.0004\n",
"cluster: 6 leen coefficient: 0.0003\n",
"cluster: 6 leer coefficient: 0.0004\n",
"cluster: 6 left coefficient: 0.0006\n",
"cluster: 6 legal coefficient: 0.0004\n",
"cluster: 6 legendary coefficient: 0.0005\n",
"cluster: 6 leggere coefficient: 0.0006\n",
"cluster: 6 lei coefficient: 0.0002\n",
"cluster: 6 leia coefficient: 0.0003\n",
"cluster: 6 lemon coefficient: 0.0006\n",
"cluster: 6 lenin coefficient: 0.0003\n",
"cluster: 6 leningradlindsey coefficient: 0.0004\n",
"cluster: 6 leo coefficient: 0.0003\n",
"cluster: 6 leone coefficient: 0.0003\n",
"cluster: 6 ler coefficient: 0.0003\n",
"cluster: 6 less coefficient: 0.0016\n",
"cluster: 6 lesson coefficient: 0.0004\n",
"cluster: 6 let coefficient: 0.0028\n",
"cluster: 6 lethality coefficient: 0.0004\n",
"cluster: 6 lets coefficient: 0.0006\n",
"cluster: 6 letter coefficient: 0.0014\n",
"cluster: 6 letting coefficient: 0.0004\n",
"cluster: 6 level coefficient: 0.0006\n",
"cluster: 6 levels coefficient: 0.0003\n",
"cluster: 6 levil coefficient: 0.0004\n",
"cluster: 6 li coefficient: 0.0003\n",
"cluster: 6 lia coefficient: 0.0004\n",
"cluster: 6 liberalhypocrisy coefficient: 0.0005\n",
"cluster: 6 liberallogic coefficient: 0.0005\n",
"cluster: 6 liberar coefficient: 0.0004\n",
"cluster: 6 liberia coefficient: 0.0003\n",
"cluster: 6 libertadores coefficient: 0.0005\n",
"cluster: 6 library coefficient: 0.0007\n",
"cluster: 6 libre coefficient: 0.0003\n",
"cluster: 6 librement coefficient: 0.0003\n",
"cluster: 6 licence coefficient: 0.0004\n",
"cluster: 6 licencias coefficient: 0.0004\n",
"cluster: 6 lick coefficient: 0.0003\n",
"cluster: 6 lie coefficient: 0.0004\n",
"cluster: 6 lies coefficient: 0.0011\n",
"cluster: 6 life coefficient: 0.0013\n",
"cluster: 6 lift coefficient: 0.0006\n",
"cluster: 6 lifted coefficient: 0.0005\n",
"cluster: 6 ligera coefficient: 0.0003\n",
"cluster: 6 light coefficient: 0.0009\n",
"cluster: 6 ligtas coefficient: 0.0004\n",
"cluster: 6 like coefficient: 0.0049\n",
"cluster: 6 likely coefficient: 0.0015\n",
"cluster: 6 lille coefficient: 0.0003\n",
"cluster: 6 limit coefficient: 0.0003\n",
"cluster: 6 limitations coefficient: 0.0004\n",
"cluster: 6 limited coefficient: 0.0003\n",
"cluster: 6 limiter coefficient: 0.0003\n",
"cluster: 6 limpiar coefficient: 0.0004\n",
"cluster: 6 limpio coefficient: 0.0003\n",
"cluster: 6 line coefficient: 0.0006\n",
"cluster: 6 lining coefficient: 0.0005\n",
"cluster: 6 link coefficient: 0.0008\n",
"cluster: 6 linked coefficient: 0.0009\n",
"cluster: 6 links coefficient: 0.0004\n",
"cluster: 6 liping coefficient: 0.0003\n",
"cluster: 6 lisa coefficient: 0.0004\n",
"cluster: 6 list coefficient: 0.0019\n",
"cluster: 6 listen coefficient: 0.0017\n",
"cluster: 6 listening coefficient: 0.0004\n",
"cluster: 6 lit coefficient: 0.0003\n",
"cluster: 6 literally coefficient: 0.0016\n",
"cluster: 6 literario coefficient: 0.0004\n",
"cluster: 6 little coefficient: 0.0017\n",
"cluster: 6 live coefficient: 0.0019\n",
"cluster: 6 lived coefficient: 0.0003\n",
"cluster: 6 lives coefficient: 0.0008\n",
"cluster: 6 living coefficient: 0.0007\n",
"cluster: 6 livre coefficient: 0.0003\n",
"cluster: 6 lle coefficient: 0.0003\n",
"cluster: 6 lleg coefficient: 0.0008\n",
"cluster: 6 llegada coefficient: 0.0004\n",
"cluster: 6 llegado coefficient: 0.0004\n",
"cluster: 6 llegan coefficient: 0.0006\n",
"cluster: 6 llegar coefficient: 0.0004\n",
"cluster: 6 llegue coefficient: 0.0004\n",
"cluster: 6 lleguen coefficient: 0.0006\n",
"cluster: 6 lleno coefficient: 0.0004\n",
"cluster: 6 lleva coefficient: 0.0004\n",
"cluster: 6 llevado coefficient: 0.0004\n",
"cluster: 6 lmal coefficient: 0.0003\n",
"cluster: 6 loans coefficient: 0.0008\n",
"cluster: 6 lobby coefficient: 0.0004\n",
"cluster: 6 local coefficient: 0.0006\n",
"cluster: 6 locale coefficient: 0.0004\n",
"cluster: 6 localizados coefficient: 0.0003\n",
"cluster: 6 located coefficient: 0.0004\n",
"cluster: 6 lock coefficient: 0.0004\n",
"cluster: 6 lockdown coefficient: 0.0006\n",
"cluster: 6 locked coefficient: 0.0010\n",
"cluster: 6 locker coefficient: 0.0004\n",
"cluster: 6 locura coefficient: 0.0005\n",
"cluster: 6 logical coefficient: 0.0003\n",
"cluster: 6 logo coefficient: 0.0004\n",
"cluster: 6 logra coefficient: 0.0003\n",
"cluster: 6 logre coefficient: 0.0003\n",
"cluster: 6 loire coefficient: 0.0003\n",
"cluster: 6 lokesh coefficient: 0.0003\n",
"cluster: 6 lol coefficient: 0.0005\n",
"cluster: 6 lombardia coefficient: 0.0003\n",
"cluster: 6 lomelo coefficient: 0.0004\n",
"cluster: 6 long coefficient: 0.0017\n",
"cluster: 6 longer coefficient: 0.0007\n",
"cluster: 6 look coefficient: 0.0010\n",
"cluster: 6 looking coefficient: 0.0012\n",
"cluster: 6 looks coefficient: 0.0004\n",
"cluster: 6 loquenoveranenlaprensa coefficient: 0.0003\n",
"cluster: 6 lords coefficient: 0.0003\n",
"cluster: 6 losing coefficient: 0.0004\n",
"cluster: 6 lost coefficient: 0.0012\n",
"cluster: 6 lot coefficient: 0.0024\n",
"cluster: 6 lotenemosenlafrente coefficient: 0.0005\n",
"cluster: 6 lots coefficient: 0.0007\n",
"cluster: 6 lottery coefficient: 0.0004\n",
"cluster: 6 love coefficient: 0.0026\n",
"cluster: 6 loved coefficient: 0.0003\n",
"cluster: 6 loving coefficient: 0.0003\n",
"cluster: 6 low coefficient: 0.0009\n",
"cluster: 6 lowest coefficient: 0.0004\n",
"cluster: 6 lt coefficient: 0.0003\n",
"cluster: 6 ltima coefficient: 0.0011\n",
"cluster: 6 ltimahora coefficient: 0.0006\n",
"cluster: 6 ltimas coefficient: 0.0004\n",
"cluster: 6 ltimos coefficient: 0.0004\n",
"cluster: 6 luca coefficient: 0.0003\n",
"cluster: 6 luchacontracoronavirus coefficient: 0.0007\n",
"cluster: 6 lucky coefficient: 0.0004\n",
"cluster: 6 luego coefficient: 0.0003\n",
"cluster: 6 luft coefficient: 0.0003\n",
"cluster: 6 lugar coefficient: 0.0007\n",
"cluster: 6 luigi coefficient: 0.0003\n",
"cluster: 6 lula coefficient: 0.0003\n",
"cluster: 6 lunes coefficient: 0.0006\n",
"cluster: 6 lung coefficient: 0.0019\n",
"cluster: 6 lungs coefficient: 0.0006\n",
"cluster: 6 lying coefficient: 0.0006\n",
"cluster: 6 lymphocyte coefficient: 0.0003\n",
"cluster: 6 lymphopenia coefficient: 0.0003\n",
"cluster: 6 lysol coefficient: 0.0009\n",
"cluster: 6 machinelearning coefficient: 0.0004\n",
"cluster: 6 macron coefficient: 0.0003\n",
"cluster: 6 maddow coefficient: 0.0003\n",
"cluster: 6 made coefficient: 0.0022\n",
"cluster: 6 madrid coefficient: 0.0015\n",
"cluster: 6 mag coefficient: 0.0011\n",
"cluster: 6 magic coefficient: 0.0009\n",
"cluster: 6 magically coefficient: 0.0004\n",
"cluster: 6 magn coefficient: 0.0007\n",
"cluster: 6 maharaj coefficient: 0.0003\n",
"cluster: 6 mail coefficient: 0.0003\n",
"cluster: 6 mains coefficient: 0.0005\n",
"cluster: 6 maio coefficient: 0.0003\n",
"cluster: 6 maiquet coefficient: 0.0010\n",
"cluster: 6 maison coefficient: 0.0003\n",
"cluster: 6 majesty coefficient: 0.0004\n",
"cluster: 6 major coefficient: 0.0004\n",
"cluster: 6 make coefficient: 0.0028\n",
"cluster: 6 makes coefficient: 0.0017\n",
"cluster: 6 making coefficient: 0.0020\n",
"cluster: 6 mal coefficient: 0.0003\n",
"cluster: 6 maladie coefficient: 0.0006\n",
"cluster: 6 malbr coefficient: 0.0003\n",
"cluster: 6 malbran coefficient: 0.0004\n",
"cluster: 6 maldives coefficient: 0.0004\n",
"cluster: 6 maledetti coefficient: 0.0004\n",
"cluster: 6 maletas coefficient: 0.0004\n",
"cluster: 6 malls coefficient: 0.0005\n",
"cluster: 6 malouf coefficient: 0.0003\n",
"cluster: 6 mamayan coefficient: 0.0003\n",
"cluster: 6 man coefficient: 0.0026\n",
"cluster: 6 manage coefficient: 0.0004\n",
"cluster: 6 manatiling coefficient: 0.0004\n",
"cluster: 6 manchester coefficient: 0.0003\n",
"cluster: 6 mand coefficient: 0.0003\n",
"cluster: 6 manda coefficient: 0.0004\n",
"cluster: 6 mandated coefficient: 0.0003\n",
"cluster: 6 mandatory coefficient: 0.0004\n",
"cluster: 6 mandos coefficient: 0.0005\n",
"cluster: 6 manifesta coefficient: 0.0005\n",
"cluster: 6 manipulate coefficient: 0.0003\n",
"cluster: 6 manos coefficient: 0.0014\n",
"cluster: 6 manslaughter coefficient: 0.0004\n",
"cluster: 6 mantan coefficient: 0.0003\n",
"cluster: 6 mantenerse coefficient: 0.0004\n",
"cluster: 6 many coefficient: 0.0017\n",
"cluster: 6 map coefficient: 0.0011\n",
"cluster: 6 mapa coefficient: 0.0010\n",
"cluster: 6 mar coefficient: 0.0012\n",
"cluster: 6 mara coefficient: 0.0004\n",
"cluster: 6 marbetes coefficient: 0.0004\n",
"cluster: 6 march coefficient: 0.0028\n",
"cluster: 6 marcha coefficient: 0.0006\n",
"cluster: 6 marchmadness coefficient: 0.0006\n",
"cluster: 6 margins coefficient: 0.0003\n",
"cluster: 6 maria coefficient: 0.0010\n",
"cluster: 6 marido coefficient: 0.0003\n",
"cluster: 6 marino coefficient: 0.0004\n",
"cluster: 6 market coefficient: 0.0007\n",
"cluster: 6 marketcrash coefficient: 0.0003\n",
"cluster: 6 markets coefficient: 0.0012\n",
"cluster: 6 markup coefficient: 0.0003\n",
"cluster: 6 marriages coefficient: 0.0004\n",
"cluster: 6 marshall coefficient: 0.0004\n",
"cluster: 6 martes coefficient: 0.0004\n",
"cluster: 6 martesintratable coefficient: 0.0006\n",
"cluster: 6 martin coefficient: 0.0003\n",
"cluster: 6 marzo coefficient: 0.0009\n",
"cluster: 6 mas coefficient: 0.0012\n",
"cluster: 6 masa coefficient: 0.0004\n",
"cluster: 6 masacre coefficient: 0.0003\n",
"cluster: 6 mascaras coefficient: 0.0002\n",
"cluster: 6 mascarilla coefficient: 0.0004\n",
"cluster: 6 mascarillas coefficient: 0.0007\n",
"cluster: 6 mascherine coefficient: 0.0009\n",
"cluster: 6 masivos coefficient: 0.0009\n",
"cluster: 6 mask coefficient: 0.0013\n",
"cluster: 6 masken coefficient: 0.0003\n",
"cluster: 6 masks coefficient: 0.0009\n",
"cluster: 6 mass coefficient: 0.0004\n",
"cluster: 6 massachusetts coefficient: 0.0008\n",
"cluster: 6 massacremitch coefficient: 0.0004\n",
"cluster: 6 massih coefficient: 0.0003\n",
"cluster: 6 massima coefficient: 0.0003\n",
"cluster: 6 massive coefficient: 0.0012\n",
"cluster: 6 master coefficient: 0.0003\n",
"cluster: 6 matar coefficient: 0.0004\n",
"cluster: 6 match coefficient: 0.0008\n",
"cluster: 6 material coefficient: 0.0003\n",
"cluster: 6 matter coefficient: 0.0012\n",
"cluster: 6 maximum coefficient: 0.0004\n",
"cluster: 6 may coefficient: 0.0026\n",
"cluster: 6 maybe coefficient: 0.0014\n",
"cluster: 6 mayo coefficient: 0.0004\n",
"cluster: 6 mayores coefficient: 0.0003\n",
"cluster: 6 mbt coefficient: 0.0002\n",
"cluster: 6 mcconnell coefficient: 0.0003\n",
"cluster: 6 mcdougall coefficient: 0.0004\n",
"cluster: 6 mcgonigal coefficient: 0.0004\n",
"cluster: 6 mdginforma coefficient: 0.0004\n",
"cluster: 6 meals coefficient: 0.0003\n",
"cluster: 6 mean coefficient: 0.0016\n",
"cluster: 6 meangirls coefficient: 0.0015\n",
"cluster: 6 means coefficient: 0.0004\n",
"cluster: 6 meant coefficient: 0.0004\n",
"cluster: 6 meanwhile coefficient: 0.0008\n",
"cluster: 6 measures coefficient: 0.0009\n",
"cluster: 6 meat coefficient: 0.0006\n",
"cluster: 6 med coefficient: 0.0003\n",
"cluster: 6 media coefficient: 0.0044\n",
"cluster: 6 medical coefficient: 0.0018\n",
"cluster: 6 medicamento coefficient: 0.0003\n",
"cluster: 6 medicareforall coefficient: 0.0004\n",
"cluster: 6 medication coefficient: 0.0003\n",
"cluster: 6 mediche coefficient: 0.0003\n",
"cluster: 6 medicine coefficient: 0.0010\n",
"cluster: 6 medico coefficient: 0.0004\n",
"cluster: 6 medics coefficient: 0.0004\n",
"cluster: 6 medida coefficient: 0.0004\n",
"cluster: 6 medidas coefficient: 0.0046\n",
"cluster: 6 medidaseconomicas coefficient: 0.0006\n",
"cluster: 6 medio coefficient: 0.0003\n",
"cluster: 6 medios coefficient: 0.0008\n",
"cluster: 6 medium coefficient: 0.0003\n",
"cluster: 6 medtwitter coefficient: 0.0004\n",
"cluster: 6 meer coefficient: 0.0003\n",
"cluster: 6 meet coefficient: 0.0009\n",
"cluster: 6 meeting coefficient: 0.0013\n",
"cluster: 6 meetings coefficient: 0.0003\n",
"cluster: 6 meets coefficient: 0.0003\n",
"cluster: 6 mega coefficient: 0.0003\n",
"cluster: 6 mejor coefficient: 0.0011\n",
"cluster: 6 mejore coefficient: 0.0003\n",
"cluster: 6 mel coefficient: 0.0005\n",
"cluster: 6 member coefficient: 0.0010\n",
"cluster: 6 members coefficient: 0.0010\n",
"cluster: 6 meme coefficient: 0.0006\n",
"cluster: 6 memersangh coefficient: 0.0007\n",
"cluster: 6 memes coefficient: 0.0008\n",
"cluster: 6 men coefficient: 0.0003\n",
"cluster: 6 mendadak coefficient: 0.0002\n",
"cluster: 6 menimpanya coefficient: 0.0002\n",
"cluster: 6 meno coefficient: 0.0003\n",
"cluster: 6 menor coefficient: 0.0005\n",
"cluster: 6 menos coefficient: 0.0003\n",
"cluster: 6 mensaje coefficient: 0.0004\n",
"cluster: 6 mensajitos coefficient: 0.0006\n",
"cluster: 6 mensen coefficient: 0.0007\n",
"cluster: 6 mentality coefficient: 0.0003\n",
"cluster: 6 mentideta coefficient: 0.0004\n",
"cluster: 6 mer coefficient: 0.0003\n",
"cluster: 6 mercado coefficient: 0.0004\n",
"cluster: 6 mercados coefficient: 0.0009\n",
"cluster: 6 merger coefficient: 0.0006\n",
"cluster: 6 merkel coefficient: 0.0004\n",
"cluster: 6 mero coefficient: 0.0006\n",
"cluster: 6 meros coefficient: 0.0004\n",
"cluster: 6 message coefficient: 0.0004\n",
"cluster: 6 mesures coefficient: 0.0006\n",
"cluster: 6 met coefficient: 0.0005\n",
"cluster: 6 metamorphosis coefficient: 0.0006\n",
"cluster: 6 metro coefficient: 0.0010\n",
"cluster: 6 metropolitano coefficient: 0.0009\n",
"cluster: 6 mettere coefficient: 0.0003\n",
"cluster: 6 metzl coefficient: 0.0004\n",
"cluster: 6 mezclar coefficient: 0.0003\n",
"cluster: 6 mga coefficient: 0.0006\n",
"cluster: 6 miami coefficient: 0.0007\n",
"cluster: 6 mic coefficient: 0.0006\n",
"cluster: 6 mica coefficient: 0.0004\n",
"cluster: 6 micas coefficient: 0.0003\n",
"cluster: 6 michael coefficient: 0.0004\n",
"cluster: 6 michigan coefficient: 0.0019\n",
"cluster: 6 michiganprimary coefficient: 0.0003\n",
"cluster: 6 micr coefficient: 0.0003\n",
"cluster: 6 micro coefficient: 0.0005\n",
"cluster: 6 microorganismos coefficient: 0.0004\n",
"cluster: 6 mid coefficient: 0.0003\n",
"cluster: 6 middle coefficient: 0.0005\n",
"cluster: 6 mide coefficient: 0.0004\n",
"cluster: 6 mie coefficient: 0.0018\n",
"cluster: 6 miedo coefficient: 0.0004\n",
"cluster: 6 miembro coefficient: 0.0003\n",
"cluster: 6 miembros coefficient: 0.0003\n",
"cluster: 6 mienta coefficient: 0.0004\n",
"cluster: 6 mientras coefficient: 0.0018\n",
"cluster: 6 mieux coefficient: 0.0003\n",
"cluster: 6 might coefficient: 0.0003\n",
"cluster: 6 miguel coefficient: 0.0003\n",
"cluster: 6 miguelito coefficient: 0.0003\n",
"cluster: 6 mil coefficient: 0.0015\n",
"cluster: 6 mila coefficient: 0.0008\n",
"cluster: 6 milan coefficient: 0.0010\n",
"cluster: 6 milano coefficient: 0.0004\n",
"cluster: 6 mild coefficient: 0.0003\n",
"cluster: 6 milioni coefficient: 0.0003\n",
"cluster: 6 militar coefficient: 0.0004\n",
"cluster: 6 military coefficient: 0.0009\n",
"cluster: 6 millie coefficient: 0.0005\n",
"cluster: 6 million coefficient: 0.0013\n",
"cluster: 6 millones coefficient: 0.0008\n",
"cluster: 6 min coefficient: 0.0003\n",
"cluster: 6 mind coefficient: 0.0005\n",
"cluster: 6 minds coefficient: 0.0006\n",
"cluster: 6 mine coefficient: 0.0003\n",
"cluster: 6 minimizing coefficient: 0.0004\n",
"cluster: 6 mining coefficient: 0.0004\n",
"cluster: 6 minister coefficient: 0.0044\n",
"cluster: 6 ministerio coefficient: 0.0013\n",
"cluster: 6 ministers coefficient: 0.0008\n",
"cluster: 6 ministra coefficient: 0.0017\n",
"cluster: 6 ministre coefficient: 0.0003\n",
"cluster: 6 ministry coefficient: 0.0004\n",
"cluster: 6 minor coefficient: 0.0004\n",
"cluster: 6 mint coefficient: 0.0003\n",
"cluster: 6 minutes coefficient: 0.0011\n",
"cluster: 6 minuto coefficient: 0.0006\n",
"cluster: 6 mira coefficient: 0.0003\n",
"cluster: 6 miracle coefficient: 0.0007\n",
"cluster: 6 misinformation coefficient: 0.0023\n",
"cluster: 6 misma coefficient: 0.0007\n",
"cluster: 6 mismo coefficient: 0.0011\n",
"cluster: 6 miss coefficient: 0.0007\n",
"cluster: 6 mississipi coefficient: 0.0008\n",
"cluster: 6 missouriprimary coefficient: 0.0003\n",
"cluster: 6 mistake coefficient: 0.0004\n",
"cluster: 6 misunderstood coefficient: 0.0004\n",
"cluster: 6 mit coefficient: 0.0003\n",
"cluster: 6 mitchell coefficient: 0.0003\n",
"cluster: 6 mitigaci coefficient: 0.0003\n",
"cluster: 6 mitigacion coefficient: 0.0009\n",
"cluster: 6 mitigate coefficient: 0.0007\n",
"cluster: 6 mitigation coefficient: 0.0003\n",
"cluster: 6 mixed coefficient: 0.0004\n",
"cluster: 6 mla coefficient: 0.0007\n",
"cluster: 6 mlb coefficient: 0.0007\n",
"cluster: 6 mls coefficient: 0.0004\n",
"cluster: 6 mmmmm coefficient: 0.0006\n",
"cluster: 6 mmt coefficient: 0.0004\n",
"cluster: 6 mo coefficient: 0.0031\n",
"cluster: 6 mobile coefficient: 0.0003\n",
"cluster: 6 mobilise coefficient: 0.0004\n",
"cluster: 6 mobilizes coefficient: 0.0005\n",
"cluster: 6 mocked coefficient: 0.0006\n",
"cluster: 6 modello coefficient: 0.0002\n",
"cluster: 6 models coefficient: 0.0003\n",
"cluster: 6 modern coefficient: 0.0004\n",
"cluster: 6 mogen coefficient: 0.0003\n",
"cluster: 6 moindre coefficient: 0.0004\n",
"cluster: 6 moins coefficient: 0.0006\n",
"cluster: 6 molestias coefficient: 0.0006\n",
"cluster: 6 mollahs coefficient: 0.0003\n",
"cluster: 6 molly coefficient: 0.0007\n",
"cluster: 6 mom coefficient: 0.0011\n",
"cluster: 6 moment coefficient: 0.0004\n",
"cluster: 6 momento coefficient: 0.0012\n",
"cluster: 6 momentos coefficient: 0.0004\n",
"cluster: 6 momma coefficient: 0.0006\n",
"cluster: 6 monbebe coefficient: 0.0006\n",
"cluster: 6 mondial coefficient: 0.0004\n",
"cluster: 6 money coefficient: 0.0014\n",
"cluster: 6 mongering coefficient: 0.0003\n",
"cluster: 6 monitoreo coefficient: 0.0004\n",
"cluster: 6 monitoring coefficient: 0.0004\n",
"cluster: 6 monopolios coefficient: 0.0003\n",
"cluster: 6 monos coefficient: 0.0004\n",
"cluster: 6 monro coefficient: 0.0004\n",
"cluster: 6 montenegro coefficient: 0.0010\n",
"cluster: 6 montero coefficient: 0.0006\n",
"cluster: 6 month coefficient: 0.0004\n",
"cluster: 6 months coefficient: 0.0020\n",
"cluster: 6 montre coefficient: 0.0003\n",
"cluster: 6 moon coefficient: 0.0014\n",
"cluster: 6 moratorijumu coefficient: 0.0003\n",
"cluster: 6 moratorium coefficient: 0.0004\n",
"cluster: 6 moreno coefficient: 0.0003\n",
"cluster: 6 morenoespaquetazo coefficient: 0.0004\n",
"cluster: 6 morning coefficient: 0.0006\n",
"cluster: 6 mortalidad coefficient: 0.0007\n",
"cluster: 6 morte coefficient: 0.0003\n",
"cluster: 6 mortelles coefficient: 0.0003\n",
"cluster: 6 morti coefficient: 0.0003\n",
"cluster: 6 moscowmitch coefficient: 0.0004\n",
"cluster: 6 moscu coefficient: 0.0003\n",
"cluster: 6 moss coefficient: 0.0004\n",
"cluster: 6 mostly coefficient: 0.0003\n",
"cluster: 6 motif coefficient: 0.0003\n",
"cluster: 6 motivate coefficient: 0.0004\n",
"cluster: 6 motivated coefficient: 0.0004\n",
"cluster: 6 motivo coefficient: 0.0006\n",
"cluster: 6 moto coefficient: 0.0010\n",
"cluster: 6 motogp coefficient: 0.0008\n",
"cluster: 6 motorspof coefficient: 0.0003\n",
"cluster: 6 motyl coefficient: 0.0005\n",
"cluster: 6 mouth coefficient: 0.0004\n",
"cluster: 6 move coefficient: 0.0003\n",
"cluster: 6 movement coefficient: 0.0004\n",
"cluster: 6 movilizaci coefficient: 0.0004\n",
"cluster: 6 movimientos coefficient: 0.0004\n",
"cluster: 6 mp coefficient: 0.0005\n",
"cluster: 6 msm coefficient: 0.0008\n",
"cluster: 6 msmong coefficient: 0.0003\n",
"cluster: 6 msnbc coefficient: 0.0006\n",
"cluster: 6 much coefficient: 0.0013\n",
"cluster: 6 mucha coefficient: 0.0004\n",
"cluster: 6 muertes coefficient: 0.0015\n",
"cluster: 6 muerto coefficient: 0.0007\n",
"cluster: 6 muertos coefficient: 0.0018\n",
"cluster: 6 muestarn coefficient: 0.0002\n",
"cluster: 6 muestran coefficient: 0.0003\n",
"cluster: 6 mujer coefficient: 0.0003\n",
"cluster: 6 muler coefficient: 0.0003\n",
"cluster: 6 mulhouse coefficient: 0.0003\n",
"cluster: 6 mult coefficient: 0.0003\n",
"cluster: 6 multi coefficient: 0.0004\n",
"cluster: 6 multiple coefficient: 0.0003\n",
"cluster: 6 mundial coefficient: 0.0014\n",
"cluster: 6 mundiales coefficient: 0.0006\n",
"cluster: 6 mundo coefficient: 0.0008\n",
"cluster: 6 municipales coefficient: 0.0006\n",
"cluster: 6 musea coefficient: 0.0003\n",
"cluster: 6 music coefficient: 0.0007\n",
"cluster: 6 muslims coefficient: 0.0003\n",
"cluster: 6 must coefficient: 0.0042\n",
"cluster: 6 mutlaka coefficient: 0.0003\n",
"cluster: 6 mx coefficient: 0.0005\n",
"cluster: 6 mysteriously coefficient: 0.0005\n",
"cluster: 6 na coefficient: 0.0011\n",
"cluster: 6 nacional coefficient: 0.0026\n",
"cluster: 6 nacionales coefficient: 0.0003\n",
"cluster: 6 nacionalidad coefficient: 0.0006\n",
"cluster: 6 nadie coefficient: 0.0003\n",
"cluster: 6 nadine coefficient: 0.0025\n",
"cluster: 6 nag coefficient: 0.0003\n",
"cluster: 6 nagpakampante coefficient: 0.0006\n",
"cluster: 6 nalang coefficient: 0.0005\n",
"cluster: 6 nam coefficient: 0.0003\n",
"cluster: 6 naming coefficient: 0.0003\n",
"cluster: 6 nancy coefficient: 0.0003\n",
"cluster: 6 nangyari coefficient: 0.0003\n",
"cluster: 6 nant coefficient: 0.0003\n",
"cluster: 6 naomi coefficient: 0.0005\n",
"cluster: 6 narito coefficient: 0.0004\n",
"cluster: 6 nariz coefficient: 0.0004\n",
"cluster: 6 narrative coefficient: 0.0006\n",
"cluster: 6 nasrollah coefficient: 0.0006\n",
"cluster: 6 nassrallah coefficient: 0.0005\n",
"cluster: 6 nata coefficient: 0.0002\n",
"cluster: 6 nation coefficient: 0.0004\n",
"cluster: 6 national coefficient: 0.0015\n",
"cluster: 6 nationale coefficient: 0.0003\n",
"cluster: 6 nationals coefficient: 0.0007\n",
"cluster: 6 nations coefficient: 0.0003\n",
"cluster: 6 native coefficient: 0.0003\n",
"cluster: 6 nature coefficient: 0.0003\n",
"cluster: 6 nava coefficient: 0.0004\n",
"cluster: 6 nba coefficient: 0.0014\n",
"cluster: 6 nce coefficient: 0.0004\n",
"cluster: 6 ncia coefficient: 0.0003\n",
"cluster: 6 ncies coefficient: 0.0003\n",
"cluster: 6 ncov coefficient: 0.0010\n",
"cluster: 6 nda coefficient: 0.0005\n",
"cluster: 6 near coefficient: 0.0004\n",
"cluster: 6 nearly coefficient: 0.0013\n",
"cluster: 6 necesaria coefficient: 0.0005\n",
"cluster: 6 necesario coefficient: 0.0007\n",
"cluster: 6 necesarios coefficient: 0.0003\n",
"cluster: 6 necesidades coefficient: 0.0003\n",
"cluster: 6 necesita coefficient: 0.0002\n",
"cluster: 6 necesito coefficient: 0.0004\n",
"cluster: 6 nederland coefficient: 0.0002\n",
"cluster: 6 need coefficient: 0.0060\n",
"cluster: 6 needed coefficient: 0.0014\n",
"cluster: 6 needs coefficient: 0.0023\n",
"cluster: 6 neem coefficient: 0.0003\n",
"cluster: 6 nefarious coefficient: 0.0003\n",
"cluster: 6 negativos coefficient: 0.0003\n",
"cluster: 6 negligence coefficient: 0.0005\n",
"cluster: 6 negligencia coefficient: 0.0003\n",
"cluster: 6 negligently coefficient: 0.0004\n",
"cluster: 6 negro coefficient: 0.0003\n",
"cluster: 6 neil coefficient: 0.0003\n",
"cluster: 6 neither coefficient: 0.0003\n",
"cluster: 6 nelle coefficient: 0.0003\n",
"cluster: 6 nense coefficient: 0.0004\n",
"cluster: 6 nervous coefficient: 0.0004\n",
"cluster: 6 nessalud coefficient: 0.0016\n",
"cluster: 6 nestrafotte coefficient: 0.0004\n",
"cluster: 6 neum coefficient: 0.0004\n",
"cluster: 6 never coefficient: 0.0012\n",
"cluster: 6 new coefficient: 0.0031\n",
"cluster: 6 newprofilepic coefficient: 0.0008\n",
"cluster: 6 newrochelle coefficient: 0.0003\n",
"cluster: 6 news coefficient: 0.0040\n",
"cluster: 6 newsnight coefficient: 0.0004\n",
"cluster: 6 newyork coefficient: 0.0003\n",
"cluster: 6 newyorkcity coefficient: 0.0003\n",
"cluster: 6 next coefficient: 0.0021\n",
"cluster: 6 nfl coefficient: 0.0003\n",
"cluster: 6 ng coefficient: 0.0008\n",
"cluster: 6 ngela coefficient: 0.0004\n",
"cluster: 6 nger coefficient: 0.0003\n",
"cluster: 6 ngerinnen coefficient: 0.0003\n",
"cluster: 6 ngulo coefficient: 0.0004\n",
"cluster: 6 nhl coefficient: 0.0007\n",
"cluster: 6 nica coefficient: 0.0017\n",
"cluster: 6 nicas coefficient: 0.0004\n",
"cluster: 6 nicht coefficient: 0.0003\n",
"cluster: 6 nico coefficient: 0.0009\n",
"cluster: 6 nicos coefficient: 0.0004\n",
"cluster: 6 niet coefficient: 0.0002\n",
"cluster: 6 nigel coefficient: 0.0004\n",
"cluster: 6 nil coefficient: 0.0004\n",
"cluster: 6 ning coefficient: 0.0011\n",
"cluster: 6 nirmalkumar coefficient: 0.0015\n",
"cluster: 6 nito coefficient: 0.0003\n",
"cluster: 6 nitwit coefficient: 0.0004\n",
"cluster: 6 nivel coefficient: 0.0006\n",
"cluster: 6 niversiteler coefficient: 0.0004\n",
"cluster: 6 nla coefficient: 0.0003\n",
"cluster: 6 nobanact coefficient: 0.0004\n",
"cluster: 6 nobel coefficient: 0.0004\n",
"cluster: 6 nobody coefficient: 0.0003\n",
"cluster: 6 noch coefficient: 0.0003\n",
"cluster: 6 noche coefficient: 0.0006\n",
"cluster: 6 nog coefficient: 0.0003\n",
"cluster: 6 noi coefficient: 0.0005\n",
"cluster: 6 nomaspetro coefficient: 0.0003\n",
"cluster: 6 nombreux coefficient: 0.0004\n",
"cluster: 6 non coefficient: 0.0016\n",
"cluster: 6 none coefficient: 0.0011\n",
"cluster: 6 nonieguenalnene coefficient: 0.0003\n",
"cluster: 6 nonsense coefficient: 0.0003\n",
"cluster: 6 nord coefficient: 0.0003\n",
"cluster: 6 normalitat coefficient: 0.0004\n",
"cluster: 6 normandie coefficient: 0.0003\n",
"cluster: 6 norobenavargaslleras coefficient: 0.0003\n",
"cluster: 6 norris coefficient: 0.0004\n",
"cluster: 6 norte coefficient: 0.0013\n",
"cluster: 6 north coefficient: 0.0003\n",
"cluster: 6 northern coefficient: 0.0004\n",
"cluster: 6 norv coefficient: 0.0004\n",
"cluster: 6 nostra coefficient: 0.0003\n",
"cluster: 6 nostre coefficient: 0.0003\n",
"cluster: 6 nota coefficient: 0.0005\n",
"cluster: 6 notes coefficient: 0.0004\n",
"cluster: 6 nothing coefficient: 0.0010\n",
"cluster: 6 notice coefficient: 0.0003\n",
"cluster: 6 noticed coefficient: 0.0004\n",
"cluster: 6 noticia coefficient: 0.0006\n",
"cluster: 6 notify coefficient: 0.0003\n",
"cluster: 6 notmeus coefficient: 0.0005\n",
"cluster: 6 nouvelle coefficient: 0.0003\n",
"cluster: 6 nouvelordremondial coefficient: 0.0003\n",
"cluster: 6 nov coefficient: 0.0007\n",
"cluster: 6 novel coefficient: 0.0014\n",
"cluster: 6 noviembre coefficient: 0.0007\n",
"cluster: 6 nowplaying coefficient: 0.0007\n",
"cluster: 6 nrwp coefficient: 0.0004\n",
"cluster: 6 ntd coefficient: 0.0004\n",
"cluster: 6 ntoma coefficient: 0.0007\n",
"cluster: 6 ntomas coefficient: 0.0011\n",
"cluster: 6 ntos coefficient: 0.0011\n",
"cluster: 6 nu coefficient: 0.0006\n",
"cluster: 6 nucleares coefficient: 0.0008\n",
"cluster: 6 nuco coefficient: 0.0005\n",
"cluster: 6 nueva coefficient: 0.0003\n",
"cluster: 6 nuevas coefficient: 0.0003\n",
"cluster: 6 nuevo coefficient: 0.0013\n",
"cluster: 6 number coefficient: 0.0027\n",
"cluster: 6 numbers coefficient: 0.0016\n",
"cluster: 6 numero coefficient: 0.0002\n",
"cluster: 6 nurse coefficient: 0.0009\n",
"cluster: 6 nurses coefficient: 0.0003\n",
"cluster: 6 nw coefficient: 0.0004\n",
"cluster: 6 ny coefficient: 0.0011\n",
"cluster: 6 nyc coefficient: 0.0015\n",
"cluster: 6 nyccare coefficient: 0.0003\n",
"cluster: 6 nyo coefficient: 0.0003\n",
"cluster: 6 nyt coefficient: 0.0004\n",
"cluster: 6 oakland coefficient: 0.0003\n",
"cluster: 6 obama coefficient: 0.0007\n",
"cluster: 6 observation coefficient: 0.0003\n",
"cluster: 6 observe coefficient: 0.0003\n",
"cluster: 6 observed coefficient: 0.0003\n",
"cluster: 6 obstante coefficient: 0.0004\n",
"cluster: 6 obstetras coefficient: 0.0004\n",
"cluster: 6 ocall coefficient: 0.0003\n",
"cluster: 6 ocasionadas coefficient: 0.0006\n",
"cluster: 6 occitanie coefficient: 0.0003\n",
"cluster: 6 occupation coefficient: 0.0004\n",
"cluster: 6 occurring coefficient: 0.0003\n",
"cluster: 6 ocho coefficient: 0.0006\n",
"cluster: 6 oct coefficient: 0.0004\n",
"cluster: 6 octubre coefficient: 0.0005\n",
"cluster: 6 ocultar coefficient: 0.0004\n",
"cluster: 6 ocultaron coefficient: 0.0003\n",
"cluster: 6 odisha coefficient: 0.0009\n",
"cluster: 6 odo coefficient: 0.0003\n",
"cluster: 6 offer coefficient: 0.0007\n",
"cluster: 6 officer coefficient: 0.0006\n",
"cluster: 6 official coefficient: 0.0004\n",
"cluster: 6 officially coefficient: 0.0004\n",
"cluster: 6 officials coefficient: 0.0016\n",
"cluster: 6 officiel coefficient: 0.0007\n",
"cluster: 6 officiellement coefficient: 0.0003\n",
"cluster: 6 oficial coefficient: 0.0017\n",
"cluster: 6 oficinas coefficient: 0.0004\n",
"cluster: 6 ofrece coefficient: 0.0002\n",
"cluster: 6 often coefficient: 0.0003\n",
"cluster: 6 oh coefficient: 0.0010\n",
"cluster: 6 ohio coefficient: 0.0012\n",
"cluster: 6 oil coefficient: 0.0009\n",
"cluster: 6 ointernacionaldelobstetra coefficient: 0.0004\n",
"cluster: 6 ojo coefficient: 0.0004\n",
"cluster: 6 ojos coefficient: 0.0004\n",
"cluster: 6 okullar coefficient: 0.0004\n",
"cluster: 6 okullartatil coefficient: 0.0005\n",
"cluster: 6 okullartatiledilsin coefficient: 0.0010\n",
"cluster: 6 ol coefficient: 0.0005\n",
"cluster: 6 ola coefficient: 0.0006\n",
"cluster: 6 olabildigince coefficient: 0.0003\n",
"cluster: 6 olak coefficient: 0.0003\n",
"cluster: 6 old coefficient: 0.0014\n",
"cluster: 6 older coefficient: 0.0011\n",
"cluster: 6 oldu coefficient: 0.0004\n",
"cluster: 6 olmos coefficient: 0.0005\n",
"cluster: 6 olvida coefficient: 0.0002\n",
"cluster: 6 oly coefficient: 0.0003\n",
"cluster: 6 olympiakos coefficient: 0.0003\n",
"cluster: 6 omg coefficient: 0.0007\n",
"cluster: 6 oms coefficient: 0.0003\n",
"cluster: 6 onder coefficient: 0.0002\n",
"cluster: 6 one coefficient: 0.0064\n",
"cluster: 6 ones coefficient: 0.0007\n",
"cluster: 6 oneself coefficient: 0.0003\n",
"cluster: 6 ongoing coefficient: 0.0004\n",
"cluster: 6 online coefficient: 0.0009\n",
"cluster: 6 onlinelearning coefficient: 0.0004\n",
"cluster: 6 ons coefficient: 0.0003\n",
"cluster: 6 ook coefficient: 0.0002\n",
"cluster: 6 oott coefficient: 0.0004\n",
"cluster: 6 op coefficient: 0.0009\n",
"cluster: 6 open coefficient: 0.0003\n",
"cluster: 6 opened coefficient: 0.0003\n",
"cluster: 6 opening coefficient: 0.0003\n",
"cluster: 6 operator coefficient: 0.0004\n",
"cluster: 6 opinion coefficient: 0.0016\n",
"cluster: 6 opposite coefficient: 0.0004\n",
"cluster: 6 opposition coefficient: 0.0004\n",
"cluster: 6 options coefficient: 0.0003\n",
"cluster: 6 optreden coefficient: 0.0003\n",
"cluster: 6 oque coefficient: 0.0004\n",
"cluster: 6 ora coefficient: 0.0011\n",
"cluster: 6 oraci coefficient: 0.0004\n",
"cluster: 6 ordenado coefficient: 0.0007\n",
"cluster: 6 order coefficient: 0.0010\n",
"cluster: 6 ordinarie coefficient: 0.0003\n",
"cluster: 6 ordinary coefficient: 0.0003\n",
"cluster: 6 ore coefficient: 0.0003\n",
"cluster: 6 oremos coefficient: 0.0007\n",
"cluster: 6 org coefficient: 0.0003\n",
"cluster: 6 organ coefficient: 0.0004\n",
"cluster: 6 organisme coefficient: 0.0003\n",
"cluster: 6 organization coefficient: 0.0004\n",
"cluster: 6 organized coefficient: 0.0004\n",
"cluster: 6 originated coefficient: 0.0004\n",
"cluster: 6 origine coefficient: 0.0003\n",
"cluster: 6 orioles coefficient: 0.0006\n",
"cluster: 6 ortega coefficient: 0.0003\n",
"cluster: 6 osterholm coefficient: 0.0013\n",
"cluster: 6 others coefficient: 0.0014\n",
"cluster: 6 otplatu coefficient: 0.0003\n",
"cluster: 6 ouders coefficient: 0.0003\n",
"cluster: 6 oustduterte coefficient: 0.0003\n",
"cluster: 6 outbreak coefficient: 0.0043\n",
"cluster: 6 outbreaks coefficient: 0.0008\n",
"cluster: 6 outcome coefficient: 0.0003\n",
"cluster: 6 outerwear coefficient: 0.0003\n",
"cluster: 6 output coefficient: 0.0003\n",
"cluster: 6 outrageous coefficient: 0.0004\n",
"cluster: 6 outras coefficient: 0.0003\n",
"cluster: 6 outre coefficient: 0.0003\n",
"cluster: 6 outside coefficient: 0.0010\n",
"cluster: 6 outsmacoronavirus coefficient: 0.0003\n",
"cluster: 6 overacism coefficient: 0.0003\n",
"cluster: 6 overlijden coefficient: 0.0003\n",
"cluster: 6 overload coefficient: 0.0006\n",
"cluster: 6 overseas coefficient: 0.0010\n",
"cluster: 6 owned coefficient: 0.0004\n",
"cluster: 6 owns coefficient: 0.0003\n",
"cluster: 6 oxigenada coefficient: 0.0003\n",
"cluster: 6 oynanacak coefficient: 0.0003\n",
"cluster: 6 pa coefficient: 0.0059\n",
"cluster: 6 paalala coefficient: 0.0004\n",
"cluster: 6 paavec coefficient: 0.0003\n",
"cluster: 6 pac coefficient: 0.0009\n",
"cluster: 6 paca coefficient: 0.0003\n",
"cluster: 6 paciente coefficient: 0.0003\n",
"cluster: 6 pacientes coefficient: 0.0003\n",
"cluster: 6 pack coefficient: 0.0006\n",
"cluster: 6 packets coefficient: 0.0003\n",
"cluster: 6 pactada coefficient: 0.0003\n",
"cluster: 6 padre coefficient: 0.0004\n",
"cluster: 6 padres coefficient: 0.0011\n",
"cluster: 6 paese coefficient: 0.0003\n",
"cluster: 6 pag coefficient: 0.0005\n",
"cluster: 6 pagar coefficient: 0.0005\n",
"cluster: 6 page coefficient: 0.0004\n",
"cluster: 6 pagi coefficient: 0.0005\n",
"cluster: 6 paid coefficient: 0.0022\n",
"cluster: 6 paidfamilyleave coefficient: 0.0003\n",
"cluster: 6 paidleave coefficient: 0.0003\n",
"cluster: 6 pain coefficient: 0.0007\n",
"cluster: 6 paises coefficient: 0.0003\n",
"cluster: 6 pakistani coefficient: 0.0004\n",
"cluster: 6 palestine coefficient: 0.0004\n",
"cluster: 6 palestinians coefficient: 0.0004\n",
"cluster: 6 palestinos coefficient: 0.0008\n",
"cluster: 6 panam coefficient: 0.0021\n",
"cluster: 6 panama coefficient: 0.0003\n",
"cluster: 6 pandemia coefficient: 0.0017\n",
"cluster: 6 pandemic coefficient: 0.0038\n",
"cluster: 6 pandemics coefficient: 0.0004\n",
"cluster: 6 panic coefficient: 0.0036\n",
"cluster: 6 panicbuy coefficient: 0.0003\n",
"cluster: 6 panicbuyers coefficient: 0.0008\n",
"cluster: 6 panickbuying coefficient: 0.0004\n",
"cluster: 6 panini coefficient: 0.0003\n",
"cluster: 6 pantalla coefficient: 0.0004\n",
"cluster: 6 panties coefficient: 0.0003\n",
"cluster: 6 paof coefficient: 0.0008\n",
"cluster: 6 paon coefficient: 0.0003\n",
"cluster: 6 papatay coefficient: 0.0003\n",
"cluster: 6 paper coefficient: 0.0025\n",
"cluster: 6 paquetazo coefficient: 0.0009\n",
"cluster: 6 paquete coefficient: 0.0003\n",
"cluster: 6 paracetamol coefficient: 0.0004\n",
"cluster: 6 paraguay coefficient: 0.0029\n",
"cluster: 6 paramilitarismo coefficient: 0.0004\n",
"cluster: 6 paramomycin coefficient: 0.0007\n",
"cluster: 6 paramount coefficient: 0.0004\n",
"cluster: 6 paranoia coefficient: 0.0005\n",
"cluster: 6 parar coefficient: 0.0007\n",
"cluster: 6 parece coefficient: 0.0009\n",
"cluster: 6 parecer coefficient: 0.0006\n",
"cluster: 6 parent coefficient: 0.0003\n",
"cluster: 6 parents coefficient: 0.0009\n",
"cluster: 6 parezcan coefficient: 0.0003\n",
"cluster: 6 paris coefficient: 0.0006\n",
"cluster: 6 parla coefficient: 0.0002\n",
"cluster: 6 parlamento coefficient: 0.0003\n",
"cluster: 6 parler coefficient: 0.0003\n",
"cluster: 6 parliament coefficient: 0.0003\n",
"cluster: 6 parques coefficient: 0.0009\n",
"cluster: 6 parte coefficient: 0.0017\n",
"cluster: 6 participaci coefficient: 0.0005\n",
"cluster: 6 particularly coefficient: 0.0004\n",
"cluster: 6 partidas coefficient: 0.0003\n",
"cluster: 6 partidos coefficient: 0.0004\n",
"cluster: 6 parties coefficient: 0.0003\n",
"cluster: 6 partir coefficient: 0.0006\n",
"cluster: 6 partisan coefficient: 0.0007\n",
"cluster: 6 parts coefficient: 0.0003\n",
"cluster: 6 party coefficient: 0.0006\n",
"cluster: 6 pasa coefficient: 0.0003\n",
"cluster: 6 pasado coefficient: 0.0007\n",
"cluster: 6 pasajero coefficient: 0.0007\n",
"cluster: 6 pasajeros coefficient: 0.0017\n",
"cluster: 6 pasar coefficient: 0.0003\n",
"cluster: 6 pasaron coefficient: 0.0003\n",
"cluster: 6 pascual coefficient: 0.0003\n",
"cluster: 6 paso coefficient: 0.0006\n",
"cluster: 6 passengers coefficient: 0.0006\n",
"cluster: 6 passief coefficient: 0.0003\n",
"cluster: 6 past coefficient: 0.0003\n",
"cluster: 6 pastor coefficient: 0.0003\n",
"cluster: 6 pathogen coefficient: 0.0003\n",
"cluster: 6 patience coefficient: 0.0003\n",
"cluster: 6 patient coefficient: 0.0006\n",
"cluster: 6 patients coefficient: 0.0029\n",
"cluster: 6 patriots coefficient: 0.0004\n",
"cluster: 6 patriotsunited coefficient: 0.0004\n",
"cluster: 6 pay coefficient: 0.0017\n",
"cluster: 6 payasostodospues coefficient: 0.0005\n",
"cluster: 6 paycheck coefficient: 0.0009\n",
"cluster: 6 paying coefficient: 0.0004\n",
"cluster: 6 payla coefficient: 0.0004\n",
"cluster: 6 payment coefficient: 0.0004\n",
"cluster: 6 payo coefficient: 0.0004\n",
"cluster: 6 payroll coefficient: 0.0006\n",
"cluster: 6 pays coefficient: 0.0010\n",
"cluster: 6 paywall coefficient: 0.0005\n",
"cluster: 6 pc coefficient: 0.0003\n",
"cluster: 6 pe coefficient: 0.0005\n",
"cluster: 6 peace coefficient: 0.0003\n",
"cluster: 6 peak coefficient: 0.0010\n",
"cluster: 6 pearljam coefficient: 0.0004\n",
"cluster: 6 ped coefficient: 0.0006\n",
"cluster: 6 pedido coefficient: 0.0003\n",
"cluster: 6 pedoooo coefficient: 0.0004\n",
"cluster: 6 peek coefficient: 0.0007\n",
"cluster: 6 peer coefficient: 0.0003\n",
"cluster: 6 pegado coefficient: 0.0003\n",
"cluster: 6 peking coefficient: 0.0004\n",
"cluster: 6 pel coefficient: 0.0003\n",
"cluster: 6 pelosi coefficient: 0.0005\n",
"cluster: 6 pelotudo coefficient: 0.0004\n",
"cluster: 6 pence coefficient: 0.0017\n",
"cluster: 6 pendientes coefficient: 0.0003\n",
"cluster: 6 pengecer coefficient: 0.0003\n",
"cluster: 6 pentagon coefficient: 0.0004\n",
"cluster: 6 people coefficient: 0.0121\n",
"cluster: 6 peor coefficient: 0.0005\n",
"cluster: 6 pequena coefficient: 0.0003\n",
"cluster: 6 per coefficient: 0.0022\n",
"cluster: 6 perandones coefficient: 0.0004\n",
"cluster: 6 percent coefficient: 0.0009\n",
"cluster: 6 percentage coefficient: 0.0004\n",
"cluster: 6 perfect coefficient: 0.0003\n",
"cluster: 6 perfecta coefficient: 0.0004\n",
"cluster: 6 performing coefficient: 0.0007\n",
"cluster: 6 perfume coefficient: 0.0003\n",
"cluster: 6 perhaps coefficient: 0.0007\n",
"cluster: 6 period coefficient: 0.0008\n",
"cluster: 6 periodo coefficient: 0.0004\n",
"cluster: 6 perlig coefficient: 0.0003\n",
"cluster: 6 permanecer coefficient: 0.0003\n",
"cluster: 6 permanent coefficient: 0.0006\n",
"cluster: 6 permesso coefficient: 0.0003\n",
"cluster: 6 permitir coefficient: 0.0003\n",
"cluster: 6 peronia coefficient: 0.0003\n",
"cluster: 6 peronismo coefficient: 0.0005\n",
"cluster: 6 person coefficient: 0.0018\n",
"cluster: 6 persona coefficient: 0.0006\n",
"cluster: 6 personal coefficient: 0.0006\n",
"cluster: 6 personas coefficient: 0.0018\n",
"cluster: 6 personne coefficient: 0.0003\n",
"cluster: 6 personnes coefficient: 0.0006\n",
"cluster: 6 pesar coefficient: 0.0003\n",
"cluster: 6 pessoas coefficient: 0.0003\n",
"cluster: 6 peter coefficient: 0.0008\n",
"cluster: 6 petr coefficient: 0.0003\n",
"cluster: 6 petro coefficient: 0.0003\n",
"cluster: 6 petroestoxico coefficient: 0.0003\n",
"cluster: 6 petrotienerazon coefficient: 0.0003\n",
"cluster: 6 pets coefficient: 0.0004\n",
"cluster: 6 peu coefficient: 0.0006\n",
"cluster: 6 peut coefficient: 0.0003\n",
"cluster: 6 peux coefficient: 0.0003\n",
"cluster: 6 phantom coefficient: 0.0005\n",
"cluster: 6 pharmacies coefficient: 0.0004\n",
"cluster: 6 phd coefficient: 0.0003\n",
"cluster: 6 phone coefficient: 0.0006\n",
"cluster: 6 phonebook coefficient: 0.0003\n",
"cluster: 6 photography coefficient: 0.0005\n",
"cluster: 6 phs coefficient: 0.0004\n",
"cluster: 6 physical coefficient: 0.0004\n",
"cluster: 6 physician coefficient: 0.0004\n",
"cluster: 6 physiology coefficient: 0.0004\n",
"cluster: 6 pi coefficient: 0.0003\n",
"cluster: 6 pick coefficient: 0.0004\n",
"cluster: 6 picture coefficient: 0.0004\n",
"cluster: 6 pictures coefficient: 0.0004\n",
"cluster: 6 pid coefficient: 0.0013\n",
"cluster: 6 pida coefficient: 0.0005\n",
"cluster: 6 pide coefficient: 0.0003\n",
"cluster: 6 piden coefficient: 0.0007\n",
"cluster: 6 pido coefficient: 0.0008\n",
"cluster: 6 pieces coefficient: 0.0003\n",
"cluster: 6 piena coefficient: 0.0004\n",
"cluster: 6 pienso coefficient: 0.0003\n",
"cluster: 6 pigeons coefficient: 0.0007\n",
"cluster: 6 piling coefficient: 0.0004\n",
"cluster: 6 pilipino coefficient: 0.0003\n",
"cluster: 6 pindicherry coefficient: 0.0007\n",
"cluster: 6 pino coefficient: 0.0003\n",
"cluster: 6 pio coefficient: 0.0004\n",
"cluster: 6 pist coefficient: 0.0003\n",
"cluster: 6 pital coefficient: 0.0003\n",
"cluster: 6 place coefficient: 0.0020\n",
"cluster: 6 placed coefficient: 0.0006\n",
"cluster: 6 plan coefficient: 0.0011\n",
"cluster: 6 planes coefficient: 0.0009\n",
"cluster: 6 planillas coefficient: 0.0004\n",
"cluster: 6 planned coefficient: 0.0007\n",
"cluster: 6 planners coefficient: 0.0004\n",
"cluster: 6 planning coefficient: 0.0013\n",
"cluster: 6 plantas coefficient: 0.0008\n",
"cluster: 6 plastics coefficient: 0.0005\n",
"cluster: 6 platico coefficient: 0.0005\n",
"cluster: 6 play coefficient: 0.0012\n",
"cluster: 6 played coefficient: 0.0004\n",
"cluster: 6 player coefficient: 0.0006\n",
"cluster: 6 playing coefficient: 0.0003\n",
"cluster: 6 please coefficient: 0.0045\n",
"cluster: 6 pleaseshare coefficient: 0.0003\n",
"cluster: 6 pledged coefficient: 0.0005\n",
"cluster: 6 pleito coefficient: 0.0004\n",
"cluster: 6 plomber coefficient: 0.0003\n",
"cluster: 6 plot coefficient: 0.0004\n",
"cluster: 6 ploy coefficient: 0.0004\n",
"cluster: 6 pls coefficient: 0.0003\n",
"cluster: 6 plus coefficient: 0.0022\n",
"cluster: 6 plusieurs coefficient: 0.0006\n",
"cluster: 6 pm coefficient: 0.0034\n",
"cluster: 6 pneumonia coefficient: 0.0006\n",
"cluster: 6 poblacion coefficient: 0.0003\n",
"cluster: 6 pocos coefficient: 0.0003\n",
"cluster: 6 pod coefficient: 0.0004\n",
"cluster: 6 podcast coefficient: 0.0007\n",
"cluster: 6 podr coefficient: 0.0009\n",
"cluster: 6 poema coefficient: 0.0003\n",
"cluster: 6 point coefficient: 0.0013\n",
"cluster: 6 points coefficient: 0.0004\n",
"cluster: 6 pok coefficient: 0.0006\n",
"cluster: 6 pokemonmasters coefficient: 0.0006\n",
"cluster: 6 pokemonswordandshield coefficient: 0.0006\n",
"cluster: 6 pole coefficient: 0.0004\n",
"cluster: 6 police coefficient: 0.0003\n",
"cluster: 6 political coefficient: 0.0006\n",
"cluster: 6 politically coefficient: 0.0003\n",
"cluster: 6 politicians coefficient: 0.0004\n",
"cluster: 6 politicize coefficient: 0.0004\n",
"cluster: 6 politicized coefficient: 0.0005\n",
"cluster: 6 politics coefficient: 0.0009\n",
"cluster: 6 poll coefficient: 0.0008\n",
"cluster: 6 polls coefficient: 0.0004\n",
"cluster: 6 pollution coefficient: 0.0004\n",
"cluster: 6 polmonari coefficient: 0.0003\n",
"cluster: 6 poly coefficient: 0.0003\n",
"cluster: 6 pompeo coefficient: 0.0004\n",
"cluster: 6 pon coefficient: 0.0003\n",
"cluster: 6 ponce coefficient: 0.0004\n",
"cluster: 6 pondr coefficient: 0.0006\n",
"cluster: 6 pone coefficient: 0.0004\n",
"cluster: 6 pongan coefficient: 0.0003\n",
"cluster: 6 poop coefficient: 0.0006\n",
"cluster: 6 popular coefficient: 0.0007\n",
"cluster: 6 population coefficient: 0.0016\n",
"cluster: 6 porcina coefficient: 0.0003\n",
"cluster: 6 porqu coefficient: 0.0003\n",
"cluster: 6 portrait coefficient: 0.0004\n",
"cluster: 6 posible coefficient: 0.0007\n",
"cluster: 6 positif coefficient: 0.0003\n",
"cluster: 6 positifs coefficient: 0.0003\n",
"cluster: 6 positiva coefficient: 0.0003\n",
"cluster: 6 positive coefficient: 0.0051\n",
"cluster: 6 positivi coefficient: 0.0003\n",
"cluster: 6 positivo coefficient: 0.0020\n",
"cluster: 6 positivos coefficient: 0.0003\n",
"cluster: 6 pospone coefficient: 0.0004\n",
"cluster: 6 posponen coefficient: 0.0005\n",
"cluster: 6 possible coefficient: 0.0014\n",
"cluster: 6 possibly coefficient: 0.0006\n",
"cluster: 6 post coefficient: 0.0010\n",
"cluster: 6 postcards coefficient: 0.0003\n",
"cluster: 6 posted coefficient: 0.0005\n",
"cluster: 6 postergado coefficient: 0.0003\n",
"cluster: 6 postpone coefficient: 0.0003\n",
"cluster: 6 postponed coefficient: 0.0004\n",
"cluster: 6 pot coefficient: 0.0003\n",
"cluster: 6 potable coefficient: 0.0003\n",
"cluster: 6 potentially coefficient: 0.0004\n",
"cluster: 6 potes coefficient: 0.0003\n",
"cluster: 6 potr coefficient: 0.0002\n",
"cluster: 6 pourquoi coefficient: 0.0003\n",
"cluster: 6 pourraient coefficient: 0.0003\n",
"cluster: 6 povo coefficient: 0.0003\n",
"cluster: 6 power coefficient: 0.0010\n",
"cluster: 6 ppe coefficient: 0.0003\n",
"cluster: 6 ppl coefficient: 0.0003\n",
"cluster: 6 pr coefficient: 0.0016\n",
"cluster: 6 pray coefficient: 0.0003\n",
"cluster: 6 praying coefficient: 0.0004\n",
"cluster: 6 precauciones coefficient: 0.0003\n",
"cluster: 6 precautionary coefficient: 0.0007\n",
"cluster: 6 precio coefficient: 0.0007\n",
"cluster: 6 predicted coefficient: 0.0015\n",
"cluster: 6 preduze coefficient: 0.0003\n",
"cluster: 6 preemptively coefficient: 0.0004\n",
"cluster: 6 preguntas coefficient: 0.0011\n",
"cluster: 6 premier coefficient: 0.0003\n",
"cluster: 6 prensa coefficient: 0.0003\n",
"cluster: 6 preocupa coefficient: 0.0004\n",
"cluster: 6 preocupado coefficient: 0.0004\n",
"cluster: 6 preocupemos coefficient: 0.0005\n",
"cluster: 6 preparado coefficient: 0.0005\n",
"cluster: 6 preparados coefficient: 0.0004\n",
"cluster: 6 preparando coefficient: 0.0004\n",
"cluster: 6 preparar coefficient: 0.0003\n",
"cluster: 6 preparation coefficient: 0.0003\n",
"cluster: 6 prepare coefficient: 0.0013\n",
"cluster: 6 prepared coefficient: 0.0012\n",
"cluster: 6 presence coefficient: 0.0003\n",
"cluster: 6 presenciales coefficient: 0.0003\n",
"cluster: 6 presentado coefficient: 0.0004\n",
"cluster: 6 presentamos coefficient: 0.0008\n",
"cluster: 6 presentar coefficient: 0.0004\n",
"cluster: 6 presente coefficient: 0.0004\n",
"cluster: 6 presents coefficient: 0.0003\n",
"cluster: 6 presidency coefficient: 0.0005\n",
"cluster: 6 president coefficient: 0.0039\n",
"cluster: 6 presidente coefficient: 0.0010\n",
"cluster: 6 presidential coefficient: 0.0012\n",
"cluster: 6 presidents coefficient: 0.0003\n",
"cluster: 6 presos coefficient: 0.0004\n",
"cluster: 6 press coefficient: 0.0020\n",
"cluster: 6 pressed coefficient: 0.0003\n",
"cluster: 6 pressplay coefficient: 0.0005\n",
"cluster: 6 pressure coefficient: 0.0004\n",
"cluster: 6 presto coefficient: 0.0002\n",
"cluster: 6 presumptive coefficient: 0.0005\n",
"cluster: 6 pretty coefficient: 0.0024\n",
"cluster: 6 prevenci coefficient: 0.0046\n",
"cluster: 6 prevenir coefficient: 0.0035\n",
"cluster: 6 prevent coefficient: 0.0017\n",
"cluster: 6 preventing coefficient: 0.0005\n",
"cluster: 6 prevention coefficient: 0.0010\n",
"cluster: 6 preventivas coefficient: 0.0005\n",
"cluster: 6 preventives coefficient: 0.0003\n",
"cluster: 6 previene coefficient: 0.0008\n",
"cluster: 6 previous coefficient: 0.0008\n",
"cluster: 6 previsi coefficient: 0.0003\n",
"cluster: 6 price coefficient: 0.0008\n",
"cluster: 6 prices coefficient: 0.0009\n",
"cluster: 6 primary coefficient: 0.0004\n",
"cluster: 6 prime coefficient: 0.0003\n",
"cluster: 6 primer coefficient: 0.0003\n",
"cluster: 6 primero coefficient: 0.0005\n",
"cluster: 6 prints coefficient: 0.0004\n",
"cluster: 6 prior coefficient: 0.0003\n",
"cluster: 6 prioritizing coefficient: 0.0003\n",
"cluster: 6 priority coefficient: 0.0007\n",
"cluster: 6 pris coefficient: 0.0003\n",
"cluster: 6 prison coefficient: 0.0004\n",
"cluster: 6 prisoners coefficient: 0.0012\n",
"cluster: 6 prisonniers coefficient: 0.0004\n",
"cluster: 6 prisons coefficient: 0.0003\n",
"cluster: 6 privada coefficient: 0.0003\n",
"cluster: 6 privadas coefficient: 0.0004\n",
"cluster: 6 privados coefficient: 0.0003\n",
"cluster: 6 private coefficient: 0.0003\n",
"cluster: 6 privatisierung coefficient: 0.0003\n",
"cluster: 6 privatizaci coefficient: 0.0003\n",
"cluster: 6 privatkrankenh coefficient: 0.0003\n",
"cluster: 6 prize coefficient: 0.0004\n",
"cluster: 6 pro coefficient: 0.0005\n",
"cluster: 6 probabilidad coefficient: 0.0003\n",
"cluster: 6 probability coefficient: 0.0007\n",
"cluster: 6 probably coefficient: 0.0017\n",
"cluster: 6 problem coefficient: 0.0004\n",
"cluster: 6 problema coefficient: 0.0010\n",
"cluster: 6 problemas coefficient: 0.0005\n",
"cluster: 6 processes coefficient: 0.0004\n",
"cluster: 6 proclamation coefficient: 0.0003\n",
"cluster: 6 productos coefficient: 0.0004\n",
"cluster: 6 products coefficient: 0.0004\n",
"cluster: 6 professional coefficient: 0.0006\n",
"cluster: 6 professionnels coefficient: 0.0003\n",
"cluster: 6 profil coefficient: 0.0003\n",
"cluster: 6 profit coefficient: 0.0003\n",
"cluster: 6 program coefficient: 0.0003\n",
"cluster: 6 programs coefficient: 0.0004\n",
"cluster: 6 progresi coefficient: 0.0005\n",
"cluster: 6 prone coefficient: 0.0003\n",
"cluster: 6 proof coefficient: 0.0003\n",
"cluster: 6 propagaci coefficient: 0.0018\n",
"cluster: 6 propaganda coefficient: 0.0003\n",
"cluster: 6 propagation coefficient: 0.0003\n",
"cluster: 6 propagazione coefficient: 0.0003\n",
"cluster: 6 propaguen coefficient: 0.0003\n",
"cluster: 6 proper coefficient: 0.0014\n",
"cluster: 6 properly coefficient: 0.0003\n",
"cluster: 6 propio coefficient: 0.0006\n",
"cluster: 6 proposals coefficient: 0.0003\n",
"cluster: 6 proprio coefficient: 0.0003\n",
"cluster: 6 prosperidad coefficient: 0.0003\n",
"cluster: 6 prosperity coefficient: 0.0003\n",
"cluster: 6 prot coefficient: 0.0009\n",
"cluster: 6 protecci coefficient: 0.0004\n",
"cluster: 6 protect coefficient: 0.0035\n",
"cluster: 6 protected coefficient: 0.0003\n",
"cluster: 6 protecting coefficient: 0.0008\n",
"cluster: 6 protection coefficient: 0.0004\n",
"cluster: 6 protective coefficient: 0.0004\n",
"cluster: 6 protectores coefficient: 0.0002\n",
"cluster: 6 proteger coefficient: 0.0009\n",
"cluster: 6 protegiendo coefficient: 0.0003\n",
"cluster: 6 protettive coefficient: 0.0003\n",
"cluster: 6 protocolo coefficient: 0.0011\n",
"cluster: 6 proud coefficient: 0.0010\n",
"cluster: 6 prove coefficient: 0.0003\n",
"cluster: 6 provenientes coefficient: 0.0006\n",
"cluster: 6 proves coefficient: 0.0003\n",
"cluster: 6 provide coefficient: 0.0014\n",
"cluster: 6 provided coefficient: 0.0004\n",
"cluster: 6 providing coefficient: 0.0004\n",
"cluster: 6 provincia coefficient: 0.0011\n",
"cluster: 6 provisionales coefficient: 0.0007\n",
"cluster: 6 prudencia coefficient: 0.0003\n",
"cluster: 6 prueba coefficient: 0.0007\n",
"cluster: 6 pruebas coefficient: 0.0007\n",
"cluster: 6 psa coefficient: 0.0003\n",
"cluster: 6 psalms coefficient: 0.0011\n",
"cluster: 6 psicologicamente coefficient: 0.0004\n",
"cluster: 6 pts coefficient: 0.0003\n",
"cluster: 6 public coefficient: 0.0041\n",
"cluster: 6 publicar coefficient: 0.0003\n",
"cluster: 6 publichealth coefficient: 0.0004\n",
"cluster: 6 published coefficient: 0.0003\n",
"cluster: 6 pucp coefficient: 0.0003\n",
"cluster: 6 puebla coefficient: 0.0004\n",
"cluster: 6 pueblo coefficient: 0.0008\n",
"cluster: 6 puebpedazo coefficient: 0.0004\n",
"cluster: 6 pueda coefficient: 0.0004\n",
"cluster: 6 puedan coefficient: 0.0003\n",
"cluster: 6 puede coefficient: 0.0007\n",
"cluster: 6 pueden coefficient: 0.0003\n",
"cluster: 6 puedes coefficient: 0.0004\n",
"cluster: 6 puerta coefficient: 0.0009\n",
"cluster: 6 pues coefficient: 0.0003\n",
"cluster: 6 puestos coefficient: 0.0004\n",
"cluster: 6 pui coefficient: 0.0004\n",
"cluster: 6 pull coefficient: 0.0009\n",
"cluster: 6 pulling coefficient: 0.0004\n",
"cluster: 6 pumprules coefficient: 0.0005\n",
"cluster: 6 punto coefficient: 0.0003\n",
"cluster: 6 purchased coefficient: 0.0003\n",
"cluster: 6 pure coefficient: 0.0004\n",
"cluster: 6 puri coefficient: 0.0009\n",
"cluster: 6 purim coefficient: 0.0006\n",
"cluster: 6 purse coefficient: 0.0003\n",
"cluster: 6 push coefficient: 0.0012\n",
"cluster: 6 pushing coefficient: 0.0004\n",
"cluster: 6 put coefficient: 0.0018\n",
"cluster: 6 putin coefficient: 0.0004\n",
"cluster: 6 putok coefficient: 0.0003\n",
"cluster: 6 putting coefficient: 0.0007\n",
"cluster: 6 py coefficient: 0.0005\n",
"cluster: 6 pyramid coefficient: 0.0003\n",
"cluster: 6 quality coefficient: 0.0008\n",
"cluster: 6 quand coefficient: 0.0006\n",
"cluster: 6 quarantaine coefficient: 0.0008\n",
"cluster: 6 quarantine coefficient: 0.0024\n",
"cluster: 6 quarantined coefficient: 0.0008\n",
"cluster: 6 quarantines coefficient: 0.0004\n",
"cluster: 6 quarantining coefficient: 0.0004\n",
"cluster: 6 queda coefficient: 0.0003\n",
"cluster: 6 quedateencasa coefficient: 0.0007\n",
"cluster: 6 quedo coefficient: 0.0004\n",
"cluster: 6 queen coefficient: 0.0005\n",
"cluster: 6 queens coefficient: 0.0005\n",
"cluster: 6 queenscollege coefficient: 0.0005\n",
"cluster: 6 quella coefficient: 0.0003\n",
"cluster: 6 quelle coefficient: 0.0003\n",
"cluster: 6 quelques coefficient: 0.0003\n",
"cluster: 6 quences coefficient: 0.0003\n",
"cluster: 6 quer coefficient: 0.0006\n",
"cluster: 6 questa coefficient: 0.0002\n",
"cluster: 6 question coefficient: 0.0007\n",
"cluster: 6 questions coefficient: 0.0007\n",
"cluster: 6 questo coefficient: 0.0002\n",
"cluster: 6 quida coefficient: 0.0003\n",
"cluster: 6 quiebre coefficient: 0.0003\n",
"cluster: 6 quieren coefficient: 0.0005\n",
"cluster: 6 quina coefficient: 0.0004\n",
"cluster: 6 quite coefficient: 0.0013\n",
"cluster: 6 quito coefficient: 0.0004\n",
"cluster: 6 quittent coefficient: 0.0003\n",
"cluster: 6 quote coefficient: 0.0004\n",
"cluster: 6 ra coefficient: 0.0003\n",
"cluster: 6 race coefficient: 0.0004\n",
"cluster: 6 racecar coefficient: 0.0003\n",
"cluster: 6 racially coefficient: 0.0004\n",
"cluster: 6 racism coefficient: 0.0004\n",
"cluster: 6 racist coefficient: 0.0004\n",
"cluster: 6 radicaci coefficient: 0.0004\n",
"cluster: 6 radiosavana coefficient: 0.0002\n",
"cluster: 6 raggiungere coefficient: 0.0002\n",
"cluster: 6 rahul coefficient: 0.0008\n",
"cluster: 6 raison coefficient: 0.0003\n",
"cluster: 6 rajavi coefficient: 0.0003\n",
"cluster: 6 rallies coefficient: 0.0005\n",
"cluster: 6 ralph coefficient: 0.0004\n",
"cluster: 6 ram coefficient: 0.0006\n",
"cluster: 6 ramdas coefficient: 0.0004\n",
"cluster: 6 rampal coefficient: 0.0006\n",
"cluster: 6 ran coefficient: 0.0005\n",
"cluster: 6 randomly coefficient: 0.0003\n",
"cluster: 6 rango coefficient: 0.0003\n",
"cluster: 6 rapid coefficient: 0.0004\n",
"cluster: 6 rasulullah coefficient: 0.0002\n",
"cluster: 6 rate coefficient: 0.0020\n",
"cluster: 6 rather coefficient: 0.0008\n",
"cluster: 6 raum coefficient: 0.0003\n",
"cluster: 6 raz coefficient: 0.0005\n",
"cluster: 6 razmatra coefficient: 0.0003\n",
"cluster: 6 rdc coefficient: 0.0003\n",
"cluster: 6 rdf coefficient: 0.0003\n",
"cluster: 6 rdoba coefficient: 0.0008\n",
"cluster: 6 rea coefficient: 0.0004\n",
"cluster: 6 reaccionado coefficient: 0.0004\n",
"cluster: 6 reach coefficient: 0.0003\n",
"cluster: 6 reaching coefficient: 0.0003\n",
"cluster: 6 reacting coefficient: 0.0006\n",
"cluster: 6 read coefficient: 0.0024\n",
"cluster: 6 ready coefficient: 0.0005\n",
"cluster: 6 real coefficient: 0.0028\n",
"cluster: 6 realise coefficient: 0.0004\n",
"cluster: 6 reality coefficient: 0.0009\n",
"cluster: 6 realizan coefficient: 0.0003\n",
"cluster: 6 realizar coefficient: 0.0006\n",
"cluster: 6 realizing coefficient: 0.0006\n",
"cluster: 6 really coefficient: 0.0028\n",
"cluster: 6 reals coefficient: 0.0003\n",
"cluster: 6 reas coefficient: 0.0004\n",
"cluster: 6 reason coefficient: 0.0003\n",
"cluster: 6 reassured coefficient: 0.0004\n",
"cluster: 6 reassuring coefficient: 0.0007\n",
"cluster: 6 recado coefficient: 0.0003\n",
"cluster: 6 receive coefficient: 0.0003\n",
"cluster: 6 received coefficient: 0.0003\n",
"cluster: 6 recent coefficient: 0.0004\n",
"cluster: 6 recently coefficient: 0.0006\n",
"cluster: 6 reception coefficient: 0.0003\n",
"cluster: 6 recess coefficient: 0.0003\n",
"cluster: 6 recession coefficient: 0.0004\n",
"cluster: 6 receta coefficient: 0.0003\n",
"cluster: 6 recipes coefficient: 0.0005\n",
"cluster: 6 recita coefficient: 0.0003\n",
"cluster: 6 recite coefficient: 0.0003\n",
"cluster: 6 recognised coefficient: 0.0003\n",
"cluster: 6 recognized coefficient: 0.0004\n",
"cluster: 6 recomendaciones coefficient: 0.0007\n",
"cluster: 6 recomienda coefficient: 0.0003\n",
"cluster: 6 recommend coefficient: 0.0003\n",
"cluster: 6 recommending coefficient: 0.0008\n",
"cluster: 6 record coefficient: 0.0003\n",
"cluster: 6 recorded coefficient: 0.0003\n",
"cluster: 6 recording coefficient: 0.0004\n",
"cluster: 6 recortes coefficient: 0.0003\n",
"cluster: 6 recovered coefficient: 0.0007\n",
"cluster: 6 recuerda coefficient: 0.0003\n",
"cluster: 6 recuperados coefficient: 0.0002\n",
"cluster: 6 recurramos coefficient: 0.0003\n",
"cluster: 6 recursos coefficient: 0.0004\n",
"cluster: 6 redes coefficient: 0.0010\n",
"cluster: 6 reduce coefficient: 0.0006\n",
"cluster: 6 reduced coefficient: 0.0003\n",
"cluster: 6 reduces coefficient: 0.0003\n",
"cluster: 6 reducing coefficient: 0.0004\n",
"cluster: 6 reducir coefficient: 0.0003\n",
"cluster: 6 reenviar coefficient: 0.0004\n",
"cluster: 6 reflect coefficient: 0.0003\n",
"cluster: 6 reflej coefficient: 0.0004\n",
"cluster: 6 reflejarlo coefficient: 0.0004\n",
"cluster: 6 refrain coefficient: 0.0004\n",
"cluster: 6 refuses coefficient: 0.0003\n",
"cluster: 6 refusing coefficient: 0.0004\n",
"cluster: 6 regalo coefficient: 0.0003\n",
"cluster: 6 regan coefficient: 0.0004\n",
"cluster: 6 regarding coefficient: 0.0012\n",
"cluster: 6 regi coefficient: 0.0003\n",
"cluster: 6 regime coefficient: 0.0007\n",
"cluster: 6 regional coefficient: 0.0004\n",
"cluster: 6 regions coefficient: 0.0003\n",
"cluster: 6 registra coefficient: 0.0003\n",
"cluster: 6 registro coefficient: 0.0004\n",
"cluster: 6 regresen coefficient: 0.0003\n",
"cluster: 6 regular coefficient: 0.0007\n",
"cluster: 6 regulation coefficient: 0.0004\n",
"cluster: 6 reign coefficient: 0.0010\n",
"cluster: 6 reinen coefficient: 0.0003\n",
"cluster: 6 reino coefficient: 0.0012\n",
"cluster: 6 reitera coefficient: 0.0005\n",
"cluster: 6 relaci coefficient: 0.0006\n",
"cluster: 6 related coefficient: 0.0006\n",
"cluster: 6 relatives coefficient: 0.0003\n",
"cluster: 6 relato coefficient: 0.0003\n",
"cluster: 6 release coefficient: 0.0007\n",
"cluster: 6 released coefficient: 0.0008\n",
"cluster: 6 reliable coefficient: 0.0004\n",
"cluster: 6 relim coefficient: 0.0003\n",
"cluster: 6 remain coefficient: 0.0013\n",
"cluster: 6 remains coefficient: 0.0007\n",
"cluster: 6 remboursement coefficient: 0.0003\n",
"cluster: 6 rembourser coefficient: 0.0003\n",
"cluster: 6 remdesivir coefficient: 0.0004\n",
"cluster: 6 remember coefficient: 0.0014\n",
"cluster: 6 remodeling coefficient: 0.0004\n",
"cluster: 6 remotelearning coefficient: 0.0004\n",
"cluster: 6 removed coefficient: 0.0003\n",
"cluster: 6 removido coefficient: 0.0003\n",
"cluster: 6 renal coefficient: 0.0004\n",
"cluster: 6 renciler coefficient: 0.0004\n",
"cluster: 6 rent coefficient: 0.0007\n",
"cluster: 6 renuncia coefficient: 0.0005\n",
"cluster: 6 renuncieduque coefficient: 0.0003\n",
"cluster: 6 reo coefficient: 0.0003\n",
"cluster: 6 rep coefficient: 0.0014\n",
"cluster: 6 repas coefficient: 0.0005\n",
"cluster: 6 repatriated coefficient: 0.0004\n",
"cluster: 6 repeating coefficient: 0.0007\n",
"cluster: 6 repetir coefficient: 0.0003\n",
"cluster: 6 repodes coefficient: 0.0003\n",
"cluster: 6 repoin coefficient: 0.0004\n",
"cluster: 6 repoof coefficient: 0.0003\n",
"cluster: 6 repopuisque coefficient: 0.0003\n",
"cluster: 6 reportages coefficient: 0.0003\n",
"cluster: 6 reportaje coefficient: 0.0007\n",
"cluster: 6 reportan coefficient: 0.0006\n",
"cluster: 6 reportando coefficient: 0.0004\n",
"cluster: 6 reportaron coefficient: 0.0003\n",
"cluster: 6 reported coefficient: 0.0012\n",
"cluster: 6 reporters coefficient: 0.0006\n",
"cluster: 6 reports coefficient: 0.0019\n",
"cluster: 6 repost coefficient: 0.0004\n",
"cluster: 6 repotrump coefficient: 0.0003\n",
"cluster: 6 repoxi coefficient: 0.0003\n",
"cluster: 6 repoyou coefficient: 0.0004\n",
"cluster: 6 representantes coefficient: 0.0004\n",
"cluster: 6 representatives coefficient: 0.0003\n",
"cluster: 6 repubblica coefficient: 0.0006\n",
"cluster: 6 republic coefficient: 0.0007\n",
"cluster: 6 republican coefficient: 0.0004\n",
"cluster: 6 requested coefficient: 0.0004\n",
"cluster: 6 requiere coefficient: 0.0004\n",
"cluster: 6 required coefficient: 0.0004\n",
"cluster: 6 requiring coefficient: 0.0004\n",
"cluster: 6 res coefficient: 0.0006\n",
"cluster: 6 research coefficient: 0.0005\n",
"cluster: 6 reservations coefficient: 0.0003\n",
"cluster: 6 resfriados coefficient: 0.0003\n",
"cluster: 6 resoluci coefficient: 0.0003\n",
"cluster: 6 resorted coefficient: 0.0004\n",
"cluster: 6 resources coefficient: 0.0003\n",
"cluster: 6 respetar coefficient: 0.0003\n",
"cluster: 6 respiradores coefficient: 0.0002\n",
"cluster: 6 respiratorios coefficient: 0.0003\n",
"cluster: 6 respiratory coefficient: 0.0010\n",
"cluster: 6 respond coefficient: 0.0010\n",
"cluster: 6 responders coefficient: 0.0003\n",
"cluster: 6 responding coefficient: 0.0004\n",
"cluster: 6 respondiste coefficient: 0.0004\n",
"cluster: 6 responsabilidad coefficient: 0.0007\n",
"cluster: 6 responsabilidades coefficient: 0.0004\n",
"cluster: 6 responsables coefficient: 0.0003\n",
"cluster: 6 response coefficient: 0.0030\n",
"cluster: 6 responses coefficient: 0.0008\n",
"cluster: 6 respuestas coefficient: 0.0007\n",
"cluster: 6 rest coefficient: 0.0010\n",
"cluster: 6 restaurante coefficient: 0.0003\n",
"cluster: 6 restaurants coefficient: 0.0003\n",
"cluster: 6 rester coefficient: 0.0004\n",
"cluster: 6 resteront coefficient: 0.0003\n",
"cluster: 6 restiamo coefficient: 0.0003\n",
"cluster: 6 restiamoacasa coefficient: 0.0003\n",
"cluster: 6 resto coefficient: 0.0003\n",
"cluster: 6 restricci coefficient: 0.0006\n",
"cluster: 6 restrict coefficient: 0.0004\n",
"cluster: 6 restrictions coefficient: 0.0011\n",
"cluster: 6 restringir coefficient: 0.0004\n",
"cluster: 6 resulted coefficient: 0.0004\n",
"cluster: 6 results coefficient: 0.0013\n",
"cluster: 6 resuscitation coefficient: 0.0006\n",
"cluster: 6 retailers coefficient: 0.0003\n",
"cluster: 6 retakethehouse coefficient: 0.0004\n",
"cluster: 6 retards coefficient: 0.0003\n",
"cluster: 6 retraites coefficient: 0.0003\n",
"cluster: 6 retrasa coefficient: 0.0003\n",
"cluster: 6 returned coefficient: 0.0004\n",
"cluster: 6 returning coefficient: 0.0004\n",
"cluster: 6 retweet coefficient: 0.0004\n",
"cluster: 6 retweets coefficient: 0.0007\n",
"cluster: 6 reveal coefficient: 0.0003\n",
"cluster: 6 revenue coefficient: 0.0003\n",
"cluster: 6 reviewed coefficient: 0.0003\n",
"cluster: 6 revisi coefficient: 0.0004\n",
"cluster: 6 reynmen coefficient: 0.0005\n",
"cluster: 6 rez coefficient: 0.0006\n",
"cluster: 6 rfen coefficient: 0.0003\n",
"cluster: 6 rica coefficient: 0.0007\n",
"cluster: 6 ricain coefficient: 0.0003\n",
"cluster: 6 ricas coefficient: 0.0003\n",
"cluster: 6 richard coefficient: 0.0004\n",
"cluster: 6 ricorderemo coefficient: 0.0002\n",
"cluster: 6 ridden coefficient: 0.0004\n",
"cluster: 6 riders coefficient: 0.0004\n",
"cluster: 6 ridesharing coefficient: 0.0004\n",
"cluster: 6 riesgo coefficient: 0.0010\n",
"cluster: 6 riesgopa coefficient: 0.0006\n",
"cluster: 6 riesgopais coefficient: 0.0004\n",
"cluster: 6 right coefficient: 0.0019\n",
"cluster: 6 rigorous coefficient: 0.0007\n",
"cluster: 6 rio coefficient: 0.0006\n",
"cluster: 6 rioting coefficient: 0.0003\n",
"cluster: 6 riots coefficient: 0.0003\n",
"cluster: 6 risco coefficient: 0.0004\n",
"cluster: 6 rise coefficient: 0.0003\n",
"cluster: 6 rising coefficient: 0.0003\n",
"cluster: 6 risk coefficient: 0.0018\n",
"cluster: 6 rissables coefficient: 0.0003\n",
"cluster: 6 rit coefficient: 0.0003\n",
"cluster: 6 riusciremo coefficient: 0.0002\n",
"cluster: 6 riveting coefficient: 0.0004\n",
"cluster: 6 rivm coefficient: 0.0002\n",
"cluster: 6 rkiye coefficient: 0.0012\n",
"cluster: 6 rmino coefficient: 0.0003\n",
"cluster: 6 rnc coefficient: 0.0004\n",
"cluster: 6 roadmap coefficient: 0.0004\n",
"cluster: 6 roberedfield coefficient: 0.0004\n",
"cluster: 6 robot coefficient: 0.0005\n",
"cluster: 6 rochelle coefficient: 0.0010\n",
"cluster: 6 rock coefficient: 0.0003\n",
"cluster: 6 rodrigoduterte coefficient: 0.0007\n",
"cluster: 6 rogan coefficient: 0.0009\n",
"cluster: 6 roja coefficient: 0.0002\n",
"cluster: 6 role coefficient: 0.0004\n",
"cluster: 6 roll coefficient: 0.0007\n",
"cluster: 6 rolls coefficient: 0.0004\n",
"cluster: 6 rons coefficient: 0.0003\n",
"cluster: 6 rooftops coefficient: 0.0007\n",
"cluster: 6 room coefficient: 0.0007\n",
"cluster: 6 rooms coefficient: 0.0004\n",
"cluster: 6 root coefficient: 0.0005\n",
"cluster: 6 rosario coefficient: 0.0010\n",
"cluster: 6 roughly coefficient: 0.0006\n",
"cluster: 6 routinely coefficient: 0.0004\n",
"cluster: 6 rowing coefficient: 0.0004\n",
"cluster: 6 rsat coefficient: 0.0003\n",
"cluster: 6 rstats coefficient: 0.0007\n",
"cluster: 6 rt coefficient: 0.0004\n",
"cluster: 6 rudy coefficient: 0.0003\n",
"cluster: 6 ruent coefficient: 0.0003\n",
"cluster: 6 ruled coefficient: 0.0005\n",
"cluster: 6 rumah coefficient: 0.0005\n",
"cluster: 6 running coefficient: 0.0011\n",
"cluster: 6 runningmate coefficient: 0.0005\n",
"cluster: 6 rus coefficient: 0.0010\n",
"cluster: 6 rush coefficient: 0.0003\n",
"cluster: 6 rusia coefficient: 0.0007\n",
"cluster: 6 russellstranspo coefficient: 0.0003\n",
"cluster: 6 russia coefficient: 0.0003\n",
"cluster: 6 ruth coefficient: 0.0004\n",
"cluster: 6 sab coefficient: 0.0019\n",
"cluster: 6 saber coefficient: 0.0006\n",
"cluster: 6 sacramento coefficient: 0.0007\n",
"cluster: 6 sacrifie coefficient: 0.0006\n",
"cluster: 6 sad coefficient: 0.0008\n",
"cluster: 6 sadhana coefficient: 0.0006\n",
"cluster: 6 sadness coefficient: 0.0004\n",
"cluster: 6 safe coefficient: 0.0032\n",
"cluster: 6 safety coefficient: 0.0023\n",
"cluster: 6 said coefficient: 0.0031\n",
"cluster: 6 sailor coefficient: 0.0006\n",
"cluster: 6 sailormoon coefficient: 0.0006\n",
"cluster: 6 saint coefficient: 0.0006\n",
"cluster: 6 saka coefficient: 0.0003\n",
"cluster: 6 sakes coefficient: 0.0004\n",
"cluster: 6 sala coefficient: 0.0003\n",
"cluster: 6 salam coefficient: 0.0003\n",
"cluster: 6 salas coefficient: 0.0003\n",
"cluster: 6 salir coefficient: 0.0006\n",
"cluster: 6 saliva coefficient: 0.0004\n",
"cluster: 6 salud coefficient: 0.0031\n",
"cluster: 6 salute coefficient: 0.0003\n",
"cluster: 6 salvador coefficient: 0.0004\n",
"cluster: 6 salvatore coefficient: 0.0005\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"cluster: 6 salvini coefficient: 0.0006\n",
"cluster: 6 salvinifiniscila coefficient: 0.0003\n",
"cluster: 6 salvinisciacallo coefficient: 0.0003\n",
"cluster: 6 salvinivergognati coefficient: 0.0003\n",
"cluster: 6 sampai coefficient: 0.0005\n",
"cluster: 6 samples coefficient: 0.0009\n",
"cluster: 6 san coefficient: 0.0009\n",
"cluster: 6 sanctions coefficient: 0.0009\n",
"cluster: 6 sanders coefficient: 0.0010\n",
"cluster: 6 sands coefficient: 0.0007\n",
"cluster: 6 sanidad coefficient: 0.0003\n",
"cluster: 6 sanitaria coefficient: 0.0014\n",
"cluster: 6 sanitario coefficient: 0.0007\n",
"cluster: 6 sanitary coefficient: 0.0004\n",
"cluster: 6 sanitise coefficient: 0.0005\n",
"cluster: 6 sanitizer coefficient: 0.0006\n",
"cluster: 6 sanitizers coefficient: 0.0007\n",
"cluster: 6 sanos coefficient: 0.0004\n",
"cluster: 6 sant coefficient: 0.0003\n",
"cluster: 6 santo coefficient: 0.0004\n",
"cluster: 6 saperne coefficient: 0.0003\n",
"cluster: 6 sar coefficient: 0.0003\n",
"cluster: 6 sarah coefficient: 0.0004\n",
"cluster: 6 sarampi coefficient: 0.0003\n",
"cluster: 6 sars coefficient: 0.0021\n",
"cluster: 6 sarscov coefficient: 0.0010\n",
"cluster: 6 satellite coefficient: 0.0004\n",
"cluster: 6 saudi coefficient: 0.0003\n",
"cluster: 6 saudiarabia coefficient: 0.0004\n",
"cluster: 6 save coefficient: 0.0007\n",
"cluster: 6 saw coefficient: 0.0012\n",
"cluster: 6 say coefficient: 0.0015\n",
"cluster: 6 saying coefficient: 0.0025\n",
"cluster: 6 says coefficient: 0.0024\n",
"cluster: 6 sb coefficient: 0.0008\n",
"cluster: 6 scale coefficient: 0.0005\n",
"cluster: 6 scam coefficient: 0.0003\n",
"cluster: 6 scandal coefficient: 0.0006\n",
"cluster: 6 scanners coefficient: 0.0005\n",
"cluster: 6 scarce coefficient: 0.0004\n",
"cluster: 6 scare coefficient: 0.0004\n",
"cluster: 6 scared coefficient: 0.0021\n",
"cluster: 6 scarring coefficient: 0.0006\n",
"cluster: 6 scenes coefficient: 0.0004\n",
"cluster: 6 schedule coefficient: 0.0013\n",
"cluster: 6 scheduled coefficient: 0.0008\n",
"cluster: 6 school coefficient: 0.0033\n",
"cluster: 6 schools coefficient: 0.0018\n",
"cluster: 6 schweiz coefficient: 0.0003\n",
"cluster: 6 science coefficient: 0.0012\n",
"cluster: 6 sciences coefficient: 0.0004\n",
"cluster: 6 scientists coefficient: 0.0013\n",
"cluster: 6 scope coefficient: 0.0003\n",
"cluster: 6 scotland coefficient: 0.0009\n",
"cluster: 6 scream coefficient: 0.0007\n",
"cluster: 6 screened coefficient: 0.0004\n",
"cluster: 6 scritta coefficient: 0.0003\n",
"cluster: 6 sdcc coefficient: 0.0006\n",
"cluster: 6 season coefficient: 0.0004\n",
"cluster: 6 seasonal coefficient: 0.0004\n",
"cluster: 6 seasons coefficient: 0.0010\n",
"cluster: 6 seattle coefficient: 0.0010\n",
"cluster: 6 secr coefficient: 0.0003\n",
"cluster: 6 secret coefficient: 0.0003\n",
"cluster: 6 secreta coefficient: 0.0003\n",
"cluster: 6 secretar coefficient: 0.0003\n",
"cluster: 6 secretary coefficient: 0.0004\n",
"cluster: 6 secs coefficient: 0.0003\n",
"cluster: 6 sector coefficient: 0.0003\n",
"cluster: 6 sectores coefficient: 0.0003\n",
"cluster: 6 security coefficient: 0.0013\n",
"cluster: 6 see coefficient: 0.0034\n",
"cluster: 6 seeing coefficient: 0.0004\n",
"cluster: 6 seems coefficient: 0.0007\n",
"cluster: 6 seen coefficient: 0.0013\n",
"cluster: 6 seg coefficient: 0.0003\n",
"cluster: 6 seguimosvenciendo coefficient: 0.0005\n",
"cluster: 6 seguir coefficient: 0.0004\n",
"cluster: 6 segundo coefficient: 0.0006\n",
"cluster: 6 seguridad coefficient: 0.0003\n",
"cluster: 6 seguros coefficient: 0.0004\n",
"cluster: 6 sei coefficient: 0.0003\n",
"cluster: 6 seja coefficient: 0.0003\n",
"cluster: 6 sekilde coefficient: 0.0003\n",
"cluster: 6 seleccionada coefficient: 0.0003\n",
"cluster: 6 self coefficient: 0.0024\n",
"cluster: 6 selfish coefficient: 0.0004\n",
"cluster: 6 selfisolate coefficient: 0.0005\n",
"cluster: 6 selfquarantine coefficient: 0.0005\n",
"cluster: 6 semahernandez coefficient: 0.0004\n",
"cluster: 6 semana coefficient: 0.0003\n",
"cluster: 6 semanas coefficient: 0.0007\n",
"cluster: 6 semos coefficient: 0.0005\n",
"cluster: 6 sempre coefficient: 0.0004\n",
"cluster: 6 sen coefficient: 0.0006\n",
"cluster: 6 senado coefficient: 0.0006\n",
"cluster: 6 senador coefficient: 0.0003\n",
"cluster: 6 senate coefficient: 0.0006\n",
"cluster: 6 senati coefficient: 0.0003\n",
"cluster: 6 senatore coefficient: 0.0003\n",
"cluster: 6 send coefficient: 0.0004\n",
"cluster: 6 sending coefficient: 0.0004\n",
"cluster: 6 senior coefficient: 0.0003\n",
"cluster: 6 sensatez coefficient: 0.0004\n",
"cluster: 6 sense coefficient: 0.0007\n",
"cluster: 6 sensible coefficient: 0.0005\n",
"cluster: 6 sent coefficient: 0.0013\n",
"cluster: 6 sentados coefficient: 0.0003\n",
"cluster: 6 sentimos coefficient: 0.0006\n",
"cluster: 6 sentinel coefficient: 0.0004\n",
"cluster: 6 senza coefficient: 0.0006\n",
"cluster: 6 seohra coefficient: 0.0004\n",
"cluster: 6 ser coefficient: 0.0017\n",
"cluster: 6 seriedad coefficient: 0.0004\n",
"cluster: 6 sering coefficient: 0.0003\n",
"cluster: 6 serio coefficient: 0.0003\n",
"cluster: 6 serios coefficient: 0.0004\n",
"cluster: 6 serious coefficient: 0.0008\n",
"cluster: 6 seriously coefficient: 0.0008\n",
"cluster: 6 servei coefficient: 0.0003\n",
"cluster: 6 service coefficient: 0.0008\n",
"cluster: 6 services coefficient: 0.0006\n",
"cluster: 6 serving coefficient: 0.0004\n",
"cluster: 6 sesi coefficient: 0.0006\n",
"cluster: 6 set coefficient: 0.0003\n",
"cluster: 6 settings coefficient: 0.0004\n",
"cluster: 6 seu coefficient: 0.0004\n",
"cluster: 6 seuls coefficient: 0.0003\n",
"cluster: 6 seven coefficient: 0.0007\n",
"cluster: 6 seventy coefficient: 0.0003\n",
"cluster: 6 several coefficient: 0.0003\n",
"cluster: 6 severe coefficient: 0.0008\n",
"cluster: 6 sexta coefficient: 0.0006\n",
"cluster: 6 seyircisizlig coefficient: 0.0005\n",
"cluster: 6 sfavillante coefficient: 0.0003\n",
"cluster: 6 sgmd coefficient: 0.0003\n",
"cluster: 6 sh coefficient: 0.0004\n",
"cluster: 6 shailaja coefficient: 0.0003\n",
"cluster: 6 shake coefficient: 0.0004\n",
"cluster: 6 shame coefficient: 0.0004\n",
"cluster: 6 share coefficient: 0.0017\n",
"cluster: 6 shared coefficient: 0.0006\n",
"cluster: 6 shares coefficient: 0.0012\n",
"cluster: 6 sharing coefficient: 0.0011\n",
"cluster: 6 sheeple coefficient: 0.0003\n",
"cluster: 6 sheet coefficient: 0.0004\n",
"cluster: 6 shelves coefficient: 0.0007\n",
"cluster: 6 shields coefficient: 0.0006\n",
"cluster: 6 ship coefficient: 0.0008\n",
"cluster: 6 ships coefficient: 0.0004\n",
"cluster: 6 shit coefficient: 0.0009\n",
"cluster: 6 shitshow coefficient: 0.0004\n",
"cluster: 6 shitty coefficient: 0.0005\n",
"cluster: 6 shiva coefficient: 0.0003\n",
"cluster: 6 shocking coefficient: 0.0004\n",
"cluster: 6 shoit coefficient: 0.0007\n",
"cluster: 6 shook coefficient: 0.0005\n",
"cluster: 6 shop coefficient: 0.0004\n",
"cluster: 6 shoppers coefficient: 0.0003\n",
"cluster: 6 shopping coefficient: 0.0005\n",
"cluster: 6 shortage coefficient: 0.0004\n",
"cluster: 6 shortages coefficient: 0.0004\n",
"cluster: 6 shortly coefficient: 0.0008\n",
"cluster: 6 shortness coefficient: 0.0003\n",
"cluster: 6 show coefficient: 0.0012\n",
"cluster: 6 showing coefficient: 0.0007\n",
"cluster: 6 shows coefficient: 0.0013\n",
"cluster: 6 shri coefficient: 0.0004\n",
"cluster: 6 shrugged coefficient: 0.0004\n",
"cluster: 6 shumo coefficient: 0.0004\n",
"cluster: 6 shut coefficient: 0.0014\n",
"cluster: 6 shuttered coefficient: 0.0003\n",
"cluster: 6 shutting coefficient: 0.0005\n",
"cluster: 6 si coefficient: 0.0034\n",
"cluster: 6 siapa coefficient: 0.0002\n",
"cluster: 6 sicas coefficient: 0.0013\n",
"cluster: 6 sick coefficient: 0.0039\n",
"cluster: 6 sicos coefficient: 0.0008\n",
"cluster: 6 sida coefficient: 0.0003\n",
"cluster: 6 sident coefficient: 0.0003\n",
"cluster: 6 sie coefficient: 0.0003\n",
"cluster: 6 siendodiabeticounmalairemelleva coefficient: 0.0005\n",
"cluster: 6 sierra coefficient: 0.0003\n",
"cluster: 6 sigamos coefficient: 0.0003\n",
"cluster: 6 sigan coefficient: 0.0003\n",
"cluster: 6 sign coefficient: 0.0007\n",
"cluster: 6 signs coefficient: 0.0008\n",
"cluster: 6 sigue coefficient: 0.0007\n",
"cluster: 6 siguientes coefficient: 0.0004\n",
"cluster: 6 sika coefficient: 0.0003\n",
"cluster: 6 silence coefficient: 0.0003\n",
"cluster: 6 silver coefficient: 0.0005\n",
"cluster: 6 similar coefficient: 0.0004\n",
"cluster: 6 simple coefficient: 0.0012\n",
"cluster: 6 simples coefficient: 0.0003\n",
"cluster: 6 since coefficient: 0.0019\n",
"cluster: 6 sindaco coefficient: 0.0004\n",
"cluster: 6 sing coefficient: 0.0004\n",
"cluster: 6 single coefficient: 0.0020\n",
"cluster: 6 sintomatolog coefficient: 0.0007\n",
"cluster: 6 sir coefficient: 0.0004\n",
"cluster: 6 siskind coefficient: 0.0003\n",
"cluster: 6 sistema coefficient: 0.0006\n",
"cluster: 6 sister coefficient: 0.0003\n",
"cluster: 6 site coefficient: 0.0004\n",
"cluster: 6 situa coefficient: 0.0003\n",
"cluster: 6 situatie coefficient: 0.0002\n",
"cluster: 6 situation coefficient: 0.0018\n",
"cluster: 6 situations coefficient: 0.0004\n",
"cluster: 6 six coefficient: 0.0003\n",
"cluster: 6 skype coefficient: 0.0003\n",
"cluster: 6 sld coefficient: 0.0004\n",
"cluster: 6 sleep coefficient: 0.0003\n",
"cluster: 6 slow coefficient: 0.0006\n",
"cluster: 6 small coefficient: 0.0003\n",
"cluster: 6 smdh coefficient: 0.0004\n",
"cluster: 6 smettiamo coefficient: 0.0003\n",
"cluster: 6 smh coefficient: 0.0007\n",
"cluster: 6 smith coefficient: 0.0008\n",
"cluster: 6 snail coefficient: 0.0003\n",
"cluster: 6 sneak coefficient: 0.0007\n",
"cluster: 6 sneeze coefficient: 0.0004\n",
"cluster: 6 sneezed coefficient: 0.0004\n",
"cluster: 6 snel coefficient: 0.0002\n",
"cluster: 6 snide coefficient: 0.0003\n",
"cluster: 6 snippet coefficient: 0.0003\n",
"cluster: 6 snow coefficient: 0.0004\n",
"cluster: 6 soap coefficient: 0.0010\n",
"cluster: 6 soapandwater coefficient: 0.0008\n",
"cluster: 6 sobrado coefficient: 0.0003\n",
"cluster: 6 social coefficient: 0.0006\n",
"cluster: 6 sociales coefficient: 0.0007\n",
"cluster: 6 socialism coefficient: 0.0007\n",
"cluster: 6 society coefficient: 0.0008\n",
"cluster: 6 sogood coefficient: 0.0005\n",
"cluster: 6 soi coefficient: 0.0004\n",
"cluster: 6 soignants coefficient: 0.0003\n",
"cluster: 6 soir coefficient: 0.0003\n",
"cluster: 6 sol coefficient: 0.0004\n",
"cluster: 6 sola coefficient: 0.0003\n",
"cluster: 6 sold coefficient: 0.0003\n",
"cluster: 6 solidarit coefficient: 0.0003\n",
"cluster: 6 solidarity coefficient: 0.0003\n",
"cluster: 6 sollte coefficient: 0.0003\n",
"cluster: 6 solo coefficient: 0.0010\n",
"cluster: 6 soloqueremossalvarvidas coefficient: 0.0007\n",
"cluster: 6 solution coefficient: 0.0003\n",
"cluster: 6 solve coefficient: 0.0007\n",
"cluster: 6 someday coefficient: 0.0003\n",
"cluster: 6 someone coefficient: 0.0018\n",
"cluster: 6 something coefficient: 0.0011\n",
"cluster: 6 sometimes coefficient: 0.0003\n",
"cluster: 6 somewhere coefficient: 0.0005\n",
"cluster: 6 song coefficient: 0.0009\n",
"cluster: 6 sono coefficient: 0.0006\n",
"cluster: 6 sonra coefficient: 0.0003\n",
"cluster: 6 sons coefficient: 0.0006\n",
"cluster: 6 soon coefficient: 0.0016\n",
"cluster: 6 sooooo coefficient: 0.0004\n",
"cluster: 6 sorans coefficient: 0.0003\n",
"cluster: 6 sorduklar coefficient: 0.0003\n",
"cluster: 6 sore coefficient: 0.0005\n",
"cluster: 6 sorry coefficient: 0.0005\n",
"cluster: 6 sospechosos coefficient: 0.0009\n",
"cluster: 6 sostenida coefficient: 0.0004\n",
"cluster: 6 sostiene coefficient: 0.0003\n",
"cluster: 6 sou coefficient: 0.0004\n",
"cluster: 6 sound coefficient: 0.0006\n",
"cluster: 6 soundcloud coefficient: 0.0004\n",
"cluster: 6 soup coefficient: 0.0005\n",
"cluster: 6 source coefficient: 0.0007\n",
"cluster: 6 sources coefficient: 0.0015\n",
"cluster: 6 sous coefficient: 0.0003\n",
"cluster: 6 south coefficient: 0.0010\n",
"cluster: 6 southkorea coefficient: 0.0005\n",
"cluster: 6 southwest coefficient: 0.0004\n",
"cluster: 6 space coefficient: 0.0004\n",
"cluster: 6 spain coefficient: 0.0004\n",
"cluster: 6 spaniard coefficient: 0.0004\n",
"cluster: 6 spanish coefficient: 0.0004\n",
"cluster: 6 spare coefficient: 0.0003\n",
"cluster: 6 spared coefficient: 0.0005\n",
"cluster: 6 speak coefficient: 0.0009\n",
"cluster: 6 speaker coefficient: 0.0003\n",
"cluster: 6 speakerpelosi coefficient: 0.0007\n",
"cluster: 6 special coefficient: 0.0006\n",
"cluster: 6 specialist coefficient: 0.0004\n",
"cluster: 6 specific coefficient: 0.0004\n",
"cluster: 6 sperrgebiet coefficient: 0.0003\n",
"cluster: 6 spiace coefficient: 0.0002\n",
"cluster: 6 spike coefficient: 0.0003\n",
"cluster: 6 spin coefficient: 0.0004\n",
"cluster: 6 spiraling coefficient: 0.0003\n",
"cluster: 6 spleen coefficient: 0.0005\n",
"cluster: 6 spleens coefficient: 0.0005\n",
"cluster: 6 spoken coefficient: 0.0003\n",
"cluster: 6 sports coefficient: 0.0004\n",
"cluster: 6 spotify coefficient: 0.0004\n",
"cluster: 6 spouse coefficient: 0.0007\n",
"cluster: 6 spread coefficient: 0.0069\n",
"cluster: 6 spreading coefficient: 0.0020\n",
"cluster: 6 spreads coefficient: 0.0012\n",
"cluster: 6 spring coefficient: 0.0022\n",
"cluster: 6 spy coefficient: 0.0004\n",
"cluster: 6 st coefficient: 0.0010\n",
"cluster: 6 staa coefficient: 0.0006\n",
"cluster: 6 staan coefficient: 0.0003\n",
"cluster: 6 staatliche coefficient: 0.0003\n",
"cluster: 6 stability coefficient: 0.0004\n",
"cluster: 6 stade coefficient: 0.0003\n",
"cluster: 6 stadoing coefficient: 0.0007\n",
"cluster: 6 staff coefficient: 0.0016\n",
"cluster: 6 stakicking coefficient: 0.0004\n",
"cluster: 6 stan coefficient: 0.0005\n",
"cluster: 6 standards coefficient: 0.0004\n",
"cluster: 6 standing coefficient: 0.0004\n",
"cluster: 6 standwithpriti coefficient: 0.0004\n",
"cluster: 6 stanno coefficient: 0.0003\n",
"cluster: 6 staprosecuting coefficient: 0.0006\n",
"cluster: 6 starting coefficient: 0.0004\n",
"cluster: 6 starts coefficient: 0.0003\n",
"cluster: 6 startup coefficient: 0.0008\n",
"cluster: 6 startupisraeli coefficient: 0.0004\n",
"cluster: 6 state coefficient: 0.0040\n",
"cluster: 6 statement coefficient: 0.0004\n",
"cluster: 6 statements coefficient: 0.0004\n",
"cluster: 6 states coefficient: 0.0014\n",
"cluster: 6 statewide coefficient: 0.0003\n",
"cluster: 6 stathinking coefficient: 0.0003\n",
"cluster: 6 station coefficient: 0.0003\n",
"cluster: 6 statistics coefficient: 0.0003\n",
"cluster: 6 stato coefficient: 0.0005\n",
"cluster: 6 stay coefficient: 0.0043\n",
"cluster: 6 staycalm coefficient: 0.0004\n",
"cluster: 6 step coefficient: 0.0007\n",
"cluster: 6 steps coefficient: 0.0022\n",
"cluster: 6 steroids coefficient: 0.0003\n",
"cluster: 6 stica coefficient: 0.0004\n",
"cluster: 6 sticas coefficient: 0.0003\n",
"cluster: 6 stico coefficient: 0.0005\n",
"cluster: 6 still coefficient: 0.0025\n",
"cluster: 6 stock coefficient: 0.0010\n",
"cluster: 6 stocking coefficient: 0.0006\n",
"cluster: 6 stockmarketcrash coefficient: 0.0004\n",
"cluster: 6 stockpiling coefficient: 0.0004\n",
"cluster: 6 stoking coefficient: 0.0004\n",
"cluster: 6 stol coefficient: 0.0005\n",
"cluster: 6 stone coefficient: 0.0004\n",
"cluster: 6 stop coefficient: 0.0034\n",
"cluster: 6 stopping coefficient: 0.0004\n",
"cluster: 6 stops coefficient: 0.0004\n",
"cluster: 6 stopthespread coefficient: 0.0004\n",
"cluster: 6 store coefficient: 0.0009\n",
"cluster: 6 stores coefficient: 0.0003\n",
"cluster: 6 storm coefficient: 0.0003\n",
"cluster: 6 story coefficient: 0.0018\n",
"cluster: 6 strains coefficient: 0.0003\n",
"cluster: 6 strategy coefficient: 0.0003\n",
"cluster: 6 stream coefficient: 0.0006\n",
"cluster: 6 street coefficient: 0.0003\n",
"cluster: 6 streets coefficient: 0.0007\n",
"cluster: 6 stress coefficient: 0.0004\n",
"cluster: 6 striscioni coefficient: 0.0003\n",
"cluster: 6 striving coefficient: 0.0004\n",
"cluster: 6 strong coefficient: 0.0007\n",
"cluster: 6 struggling coefficient: 0.0005\n",
"cluster: 6 stuck coefficient: 0.0004\n",
"cluster: 6 student coefficient: 0.0014\n",
"cluster: 6 students coefficient: 0.0022\n",
"cluster: 6 studies coefficient: 0.0006\n",
"cluster: 6 study coefficient: 0.0013\n",
"cluster: 6 stuff coefficient: 0.0003\n",
"cluster: 6 stunned coefficient: 0.0004\n",
"cluster: 6 subhuman coefficient: 0.0005\n",
"cluster: 6 subjects coefficient: 0.0003\n",
"cluster: 6 subscribe coefficient: 0.0008\n",
"cluster: 6 suburban coefficient: 0.0007\n",
"cluster: 6 subway coefficient: 0.0008\n",
"cluster: 6 success coefficient: 0.0006\n",
"cluster: 6 suceder coefficient: 0.0006\n",
"cluster: 6 sucre coefficient: 0.0003\n",
"cluster: 6 sud coefficient: 0.0004\n",
"cluster: 6 suddenly coefficient: 0.0004\n",
"cluster: 6 sued coefficient: 0.0004\n",
"cluster: 6 suffer coefficient: 0.0007\n",
"cluster: 6 suffering coefficient: 0.0008\n",
"cluster: 6 sufrir coefficient: 0.0004\n",
"cluster: 6 sugarmade coefficient: 0.0003\n",
"cluster: 6 suggest coefficient: 0.0006\n",
"cluster: 6 suggestion coefficient: 0.0004\n",
"cluster: 6 suggestions coefficient: 0.0006\n",
"cluster: 6 suggests coefficient: 0.0007\n",
"cluster: 6 suisse coefficient: 0.0004\n",
"cluster: 6 sujeto coefficient: 0.0005\n",
"cluster: 6 sultats coefficient: 0.0003\n",
"cluster: 6 sumagot coefficient: 0.0003\n",
"cluster: 6 sumariado coefficient: 0.0003\n",
"cluster: 6 suministros coefficient: 0.0004\n",
"cluster: 6 sundayfunday coefficient: 0.0007\n",
"cluster: 6 sundin coefficient: 0.0004\n",
"cluster: 6 sunnews coefficient: 0.0006\n",
"cluster: 6 sunnewssocial coefficient: 0.0006\n",
"cluster: 6 superar coefficient: 0.0004\n",
"cluster: 6 supercar coefficient: 0.0003\n",
"cluster: 6 supercut coefficient: 0.0007\n",
"cluster: 6 supermarkets coefficient: 0.0009\n",
"cluster: 6 supermarkten coefficient: 0.0003\n",
"cluster: 6 supermercados coefficient: 0.0004\n",
"cluster: 6 supermercats coefficient: 0.0004\n",
"cluster: 6 supertuesday coefficient: 0.0006\n",
"cluster: 6 supplies coefficient: 0.0015\n",
"cluster: 6 supply coefficient: 0.0004\n",
"cluster: 6 supposed coefficient: 0.0003\n",
"cluster: 6 suppothis coefficient: 0.0003\n",
"cluster: 6 suppoto coefficient: 0.0004\n",
"cluster: 6 suppress coefficient: 0.0007\n",
"cluster: 6 supreme coefficient: 0.0003\n",
"cluster: 6 sure coefficient: 0.0020\n",
"cluster: 6 surely coefficient: 0.0007\n",
"cluster: 6 surge coefficient: 0.0013\n",
"cluster: 6 surprise coefficient: 0.0007\n",
"cluster: 6 survive coefficient: 0.0005\n",
"cluster: 6 survived coefficient: 0.0003\n",
"cluster: 6 survives coefficient: 0.0004\n",
"cluster: 6 surviving coefficient: 0.0005\n",
"cluster: 6 susan coefficient: 0.0007\n",
"cluster: 6 suspect coefficient: 0.0003\n",
"cluster: 6 suspeitos coefficient: 0.0003\n",
"cluster: 6 suspende coefficient: 0.0003\n",
"cluster: 6 suspended coefficient: 0.0004\n",
"cluster: 6 suspenden coefficient: 0.0008\n",
"cluster: 6 suspendi coefficient: 0.0008\n",
"cluster: 6 suspendido coefficient: 0.0007\n",
"cluster: 6 suspending coefficient: 0.0004\n",
"cluster: 6 suspensi coefficient: 0.0005\n",
"cluster: 6 suspension coefficient: 0.0003\n",
"cluster: 6 sustained coefficient: 0.0003\n",
"cluster: 6 svih coefficient: 0.0003\n",
"cluster: 6 swap coefficient: 0.0003\n",
"cluster: 6 swine coefficient: 0.0007\n",
"cluster: 6 swing coefficient: 0.0004\n",
"cluster: 6 sygairsoft coefficient: 0.0005\n",
"cluster: 6 sympt coefficient: 0.0009\n",
"cluster: 6 symptoms coefficient: 0.0012\n",
"cluster: 6 synagogue coefficient: 0.0004\n",
"cluster: 6 syndrome coefficient: 0.0003\n",
"cluster: 6 syst coefficient: 0.0003\n",
"cluster: 6 system coefficient: 0.0018\n",
"cluster: 6 systems coefficient: 0.0004\n",
"cluster: 6 taboe coefficient: 0.0003\n",
"cluster: 6 tackle coefficient: 0.0004\n",
"cluster: 6 taekwondo coefficient: 0.0003\n",
"cluster: 6 taire coefficient: 0.0003\n",
"cluster: 6 tais coefficient: 0.0003\n",
"cluster: 6 take coefficient: 0.0035\n",
"cluster: 6 taken coefficient: 0.0013\n",
"cluster: 6 takes coefficient: 0.0006\n",
"cluster: 6 taking coefficient: 0.0027\n",
"cluster: 6 takip coefficient: 0.0003\n",
"cluster: 6 tal coefficient: 0.0003\n",
"cluster: 6 talk coefficient: 0.0025\n",
"cluster: 6 talked coefficient: 0.0004\n",
"cluster: 6 talking coefficient: 0.0005\n",
"cluster: 6 tambi coefficient: 0.0016\n",
"cluster: 6 tampoc coefficient: 0.0004\n",
"cluster: 6 tamponi coefficient: 0.0003\n",
"cluster: 6 tan coefficient: 0.0011\n",
"cluster: 6 tanking coefficient: 0.0004\n",
"cluster: 6 tant coefficient: 0.0003\n",
"cluster: 6 tanta coefficient: 0.0003\n",
"cluster: 6 taquilla coefficient: 0.0004\n",
"cluster: 6 tarde coefficient: 0.0003\n",
"cluster: 6 tarihinde coefficient: 0.0004\n",
"cluster: 6 taro coefficient: 0.0004\n",
"cluster: 6 tarrant coefficient: 0.0005\n",
"cluster: 6 tasa coefficient: 0.0007\n",
"cluster: 6 task coefficient: 0.0018\n",
"cluster: 6 tasty coefficient: 0.0006\n",
"cluster: 6 tat coefficient: 0.0006\n",
"cluster: 6 tatil coefficient: 0.0009\n",
"cluster: 6 tax coefficient: 0.0009\n",
"cluster: 6 tayo coefficient: 0.0006\n",
"cluster: 6 tcot coefficient: 0.0004\n",
"cluster: 6 teach coefficient: 0.0004\n",
"cluster: 6 teacher coefficient: 0.0008\n",
"cluster: 6 team coefficient: 0.0012\n",
"cluster: 6 teams coefficient: 0.0004\n",
"cluster: 6 tearful coefficient: 0.0003\n",
"cluster: 6 tech coefficient: 0.0005\n",
"cluster: 6 technology coefficient: 0.0004\n",
"cluster: 6 tecnolog coefficient: 0.0002\n",
"cluster: 6 tecnologia coefficient: 0.0005\n",
"cluster: 6 tedesca coefficient: 0.0002\n",
"cluster: 6 teher coefficient: 0.0003\n",
"cluster: 6 telangana coefficient: 0.0004\n",
"cluster: 6 telemedicine coefficient: 0.0004\n",
"cluster: 6 televisi coefficient: 0.0007\n",
"cluster: 6 televizyonda coefficient: 0.0003\n",
"cluster: 6 tell coefficient: 0.0026\n",
"cluster: 6 tells coefficient: 0.0003\n",
"cluster: 6 tema coefficient: 0.0014\n",
"cluster: 6 teme coefficient: 0.0003\n",
"cluster: 6 temperatura coefficient: 0.0004\n",
"cluster: 6 temporales coefficient: 0.0003\n",
"cluster: 6 temporary coefficient: 0.0006\n",
"cluster: 6 temps coefficient: 0.0006\n",
"cluster: 6 ten coefficient: 0.0018\n",
"cluster: 6 tendr coefficient: 0.0003\n",
"cluster: 6 tener coefficient: 0.0003\n",
"cluster: 6 ter coefficient: 0.0006\n",
"cluster: 6 tercapai coefficient: 0.0003\n",
"cluster: 6 terlindung coefficient: 0.0002\n",
"cluster: 6 term coefficient: 0.0004\n",
"cluster: 6 terminal coefficient: 0.0007\n",
"cluster: 6 terminar coefficient: 0.0004\n",
"cluster: 6 terrain coefficient: 0.0003\n",
"cluster: 6 terrestre coefficient: 0.0003\n",
"cluster: 6 terrible coefficient: 0.0007\n",
"cluster: 6 test coefficient: 0.0021\n",
"cluster: 6 teste coefficient: 0.0003\n",
"cluster: 6 tested coefficient: 0.0040\n",
"cluster: 6 testera coefficient: 0.0003\n",
"cluster: 6 testing coefficient: 0.0059\n",
"cluster: 6 tests coefficient: 0.0035\n",
"cluster: 6 tetano coefficient: 0.0006\n",
"cluster: 6 texans coefficient: 0.0004\n",
"cluster: 6 texas coefficient: 0.0023\n",
"cluster: 6 tey coefficient: 0.0003\n",
"cluster: 6 th coefficient: 0.0004\n",
"cluster: 6 thalapathy coefficient: 0.0003\n",
"cluster: 6 thank coefficient: 0.0023\n",
"cluster: 6 thanks coefficient: 0.0007\n",
"cluster: 6 theaters coefficient: 0.0003\n",
"cluster: 6 thebachelor coefficient: 0.0007\n",
"cluster: 6 thebachelorette coefficient: 0.0007\n",
"cluster: 6 thefive coefficient: 0.0004\n",
"cluster: 6 themoreyouknow coefficient: 0.0006\n",
"cluster: 6 therefore coefficient: 0.0007\n",
"cluster: 6 thermal coefficient: 0.0005\n",
"cluster: 6 thermos coefficient: 0.0003\n",
"cluster: 6 thestory coefficient: 0.0004\n",
"cluster: 6 thewalkingdead coefficient: 0.0007\n",
"cluster: 6 thing coefficient: 0.0017\n",
"cluster: 6 things coefficient: 0.0011\n",
"cluster: 6 think coefficient: 0.0025\n",
"cluster: 6 thinking coefficient: 0.0007\n",
"cluster: 6 third coefficient: 0.0003\n",
"cluster: 6 though coefficient: 0.0003\n",
"cluster: 6 thought coefficient: 0.0013\n",
"cluster: 6 thousands coefficient: 0.0007\n",
"cluster: 6 thread coefficient: 0.0023\n",
"cluster: 6 threat coefficient: 0.0010\n",
"cluster: 6 three coefficient: 0.0006\n",
"cluster: 6 throughout coefficient: 0.0004\n",
"cluster: 6 throwing coefficient: 0.0003\n",
"cluster: 6 thru coefficient: 0.0003\n",
"cluster: 6 thursday coefficient: 0.0007\n",
"cluster: 6 tick coefficient: 0.0003\n",
"cluster: 6 tickets coefficient: 0.0003\n",
"cluster: 6 tidak coefficient: 0.0002\n",
"cluster: 6 tidyverse coefficient: 0.0007\n",
"cluster: 6 tiempo coefficient: 0.0013\n",
"cluster: 6 tiens coefficient: 0.0004\n",
"cluster: 6 till coefficient: 0.0003\n",
"cluster: 6 time coefficient: 0.0034\n",
"cluster: 6 timelapse coefficient: 0.0003\n",
"cluster: 6 times coefficient: 0.0018\n",
"cluster: 6 tingin coefficient: 0.0006\n",
"cluster: 6 tiny coefficient: 0.0003\n",
"cluster: 6 tip coefficient: 0.0005\n",
"cluster: 6 tips coefficient: 0.0004\n",
"cluster: 6 tired coefficient: 0.0003\n",
"cluster: 6 tirmidzi coefficient: 0.0002\n",
"cluster: 6 tnhealth coefficient: 0.0008\n",
"cluster: 6 tnn coefficient: 0.0013\n",
"cluster: 6 tnnthailand coefficient: 0.0006\n",
"cluster: 6 tocarte coefficient: 0.0004\n",
"cluster: 6 tock coefficient: 0.0003\n",
"cluster: 6 toda coefficient: 0.0004\n",
"cluster: 6 todas coefficient: 0.0007\n",
"cluster: 6 today coefficient: 0.0034\n",
"cluster: 6 todays coefficient: 0.0003\n",
"cluster: 6 toe coefficient: 0.0003\n",
"cluster: 6 together coefficient: 0.0022\n",
"cluster: 6 toheaven coefficient: 0.0003\n",
"cluster: 6 toilet coefficient: 0.0033\n",
"cluster: 6 toiletpaper coefficient: 0.0007\n",
"cluster: 6 toiletpaperapocalypse coefficient: 0.0006\n",
"cluster: 6 toiletpapercrisis coefficient: 0.0008\n",
"cluster: 6 toiletpaperpanic coefficient: 0.0009\n",
"cluster: 6 toiletpaperwars coefficient: 0.0015\n",
"cluster: 6 told coefficient: 0.0019\n",
"cluster: 6 toll coefficient: 0.0010\n",
"cluster: 6 toma coefficient: 0.0005\n",
"cluster: 6 tomadas coefficient: 0.0009\n",
"cluster: 6 tomado coefficient: 0.0004\n",
"cluster: 6 tomando coefficient: 0.0009\n",
"cluster: 6 tomar coefficient: 0.0016\n",
"cluster: 6 tomaron coefficient: 0.0003\n",
"cluster: 6 tomasroncero coefficient: 0.0004\n",
"cluster: 6 tomorrow coefficient: 0.0016\n",
"cluster: 6 tonight coefficient: 0.0024\n",
"cluster: 6 took coefficient: 0.0007\n",
"cluster: 6 tools coefficient: 0.0004\n",
"cluster: 6 top coefficient: 0.0007\n",
"cluster: 6 toplumu coefficient: 0.0003\n",
"cluster: 6 topps coefficient: 0.0003\n",
"cluster: 6 tormenta coefficient: 0.0004\n",
"cluster: 6 torno coefficient: 0.0003\n",
"cluster: 6 toser coefficient: 0.0008\n",
"cluster: 6 tot coefficient: 0.0004\n",
"cluster: 6 total coefficient: 0.0007\n",
"cluster: 6 totally coefficient: 0.0005\n",
"cluster: 6 tots coefficient: 0.0004\n",
"cluster: 6 touch coefficient: 0.0013\n",
"cluster: 6 touchant coefficient: 0.0003\n",
"cluster: 6 touche coefficient: 0.0003\n",
"cluster: 6 touching coefficient: 0.0012\n",
"cluster: 6 tough coefficient: 0.0003\n",
"cluster: 6 tourisme coefficient: 0.0003\n",
"cluster: 6 tournament coefficient: 0.0003\n",
"cluster: 6 tous coefficient: 0.0008\n",
"cluster: 6 town coefficient: 0.0009\n",
"cluster: 6 tr coefficient: 0.0006\n",
"cluster: 6 trabajadores coefficient: 0.0003\n",
"cluster: 6 trabajan coefficient: 0.0003\n",
"cluster: 6 trabajar coefficient: 0.0009\n",
"cluster: 6 trabajo coefficient: 0.0010\n",
"cluster: 6 tracing coefficient: 0.0004\n",
"cluster: 6 trackability coefficient: 0.0007\n",
"cluster: 6 tracked coefficient: 0.0004\n",
"cluster: 6 trading coefficient: 0.0010\n",
"cluster: 6 tragen coefficient: 0.0003\n",
"cluster: 6 trajeron coefficient: 0.0003\n",
"cluster: 6 trajes coefficient: 0.0002\n",
"cluster: 6 tranquilo coefficient: 0.0004\n",
"cluster: 6 transferred coefficient: 0.0004\n",
"cluster: 6 transform coefficient: 0.0006\n",
"cluster: 6 transitamos coefficient: 0.0004\n",
"cluster: 6 translate coefficient: 0.0007\n",
"cluster: 6 transmisi coefficient: 0.0007\n",
"cluster: 6 transmission coefficient: 0.0006\n",
"cluster: 6 transparencia coefficient: 0.0012\n",
"cluster: 6 transplant coefficient: 0.0003\n",
"cluster: 6 transportes coefficient: 0.0005\n",
"cluster: 6 transporting coefficient: 0.0003\n",
"cluster: 6 tras coefficient: 0.0011\n",
"cluster: 6 trash coefficient: 0.0003\n",
"cluster: 6 trasladado coefficient: 0.0004\n",
"cluster: 6 trasladados coefficient: 0.0004\n",
"cluster: 6 trav coefficient: 0.0003\n",
"cluster: 6 travel coefficient: 0.0035\n",
"cluster: 6 travelling coefficient: 0.0004\n",
"cluster: 6 tre coefficient: 0.0006\n",
"cluster: 6 treat coefficient: 0.0003\n",
"cluster: 6 treated coefficient: 0.0008\n",
"cluster: 6 treatment coefficient: 0.0015\n",
"cluster: 6 tremendamente coefficient: 0.0004\n",
"cluster: 6 trendingnews coefficient: 0.0004\n",
"cluster: 6 trendingnow coefficient: 0.0004\n",
"cluster: 6 treporta coefficient: 0.0005\n",
"cluster: 6 tres coefficient: 0.0008\n",
"cluster: 6 tribute coefficient: 0.0004\n",
"cluster: 6 tried coefficient: 0.0007\n",
"cluster: 6 tries coefficient: 0.0003\n",
"cluster: 6 trip coefficient: 0.0007\n",
"cluster: 6 triple coefficient: 0.0003\n",
"cluster: 6 trishregan coefficient: 0.0004\n",
"cluster: 6 triunfo coefficient: 0.0006\n",
"cluster: 6 trolleys coefficient: 0.0007\n",
"cluster: 6 trough coefficient: 0.0004\n",
"cluster: 6 trouve coefficient: 0.0003\n",
"cluster: 6 trudeau coefficient: 0.0004\n",
"cluster: 6 trudeaumustgo coefficient: 0.0004\n",
"cluster: 6 trudeaunotfitforoffice coefficient: 0.0005\n",
"cluster: 6 true coefficient: 0.0006\n",
"cluster: 6 trueholi coefficient: 0.0003\n",
"cluster: 6 trump coefficient: 0.0081\n",
"cluster: 6 trumpbrokedonlemon coefficient: 0.0003\n",
"cluster: 6 trumpdemic coefficient: 0.0014\n",
"cluster: 6 trumplandslide coefficient: 0.0004\n",
"cluster: 6 trumpliesmatter coefficient: 0.0005\n",
"cluster: 6 trumprecession coefficient: 0.0003\n",
"cluster: 6 trumpslump coefficient: 0.0005\n",
"cluster: 6 trumpsterrorists coefficient: 0.0004\n",
"cluster: 6 trumptheworstpresidentever coefficient: 0.0005\n",
"cluster: 6 trumpviruscoverup coefficient: 0.0010\n",
"cluster: 6 trusted coefficient: 0.0008\n",
"cluster: 6 truth coefficient: 0.0004\n",
"cluster: 6 try coefficient: 0.0012\n",
"cluster: 6 trying coefficient: 0.0009\n",
"cluster: 6 tshion coefficient: 0.0006\n",
"cluster: 6 tt coefficient: 0.0003\n",
"cluster: 6 tucker coefficient: 0.0004\n",
"cluster: 6 tudiant coefficient: 0.0007\n",
"cluster: 6 tue coefficient: 0.0006\n",
"cluster: 6 tuesday coefficient: 0.0011\n",
"cluster: 6 tuesdaythoughts coefficient: 0.0004\n",
"cluster: 6 tuesdayvibes coefficient: 0.0007\n",
"cluster: 6 tune coefficient: 0.0005\n",
"cluster: 6 turd coefficient: 0.0003\n",
"cluster: 6 turismo coefficient: 0.0004\n",
"cluster: 6 turkiye coefficient: 0.0003\n",
"cluster: 6 turn coefficient: 0.0013\n",
"cluster: 6 turned coefficient: 0.0003\n",
"cluster: 6 turning coefficient: 0.0007\n",
"cluster: 6 turns coefficient: 0.0007\n",
"cluster: 6 tute coefficient: 0.0003\n",
"cluster: 6 tuteliamo coefficient: 0.0003\n",
"cluster: 6 tutta coefficient: 0.0006\n",
"cluster: 6 tutte coefficient: 0.0003\n",
"cluster: 6 tutti coefficient: 0.0005\n",
"cluster: 6 tutto coefficient: 0.0007\n",
"cluster: 6 tv coefficient: 0.0008\n",
"cluster: 6 tweet coefficient: 0.0011\n",
"cluster: 6 twitter coefficient: 0.0005\n",
"cluster: 6 twittercarclub coefficient: 0.0003\n",
"cluster: 6 two coefficient: 0.0033\n",
"cluster: 6 txlege coefficient: 0.0004\n",
"cluster: 6 type coefficient: 0.0004\n",
"cluster: 6 typo coefficient: 0.0004\n",
"cluster: 6 uae coefficient: 0.0005\n",
"cluster: 6 ubicado coefficient: 0.0004\n",
"cluster: 6 uci coefficient: 0.0004\n",
"cluster: 6 ucv coefficient: 0.0003\n",
"cluster: 6 uelos coefficient: 0.0004\n",
"cluster: 6 uganda coefficient: 0.0005\n",
"cluster: 6 ugh coefficient: 0.0015\n",
"cluster: 6 uh coefficient: 0.0007\n",
"cluster: 6 uighur coefficient: 0.0003\n",
"cluster: 6 uit coefficient: 0.0002\n",
"cluster: 6 uk coefficient: 0.0041\n",
"cluster: 6 ultima coefficient: 0.0008\n",
"cluster: 6 ultimahora coefficient: 0.0003\n",
"cluster: 6 ultime coefficient: 0.0003\n",
"cluster: 6 uma coefficient: 0.0003\n",
"cluster: 6 unacceptable coefficient: 0.0007\n",
"cluster: 6 unahan coefficient: 0.0003\n",
"cluster: 6 unbedingt coefficient: 0.0003\n",
"cluster: 6 uncontrollable coefficient: 0.0004\n",
"cluster: 6 und coefficient: 0.0003\n",
"cluster: 6 underlying coefficient: 0.0003\n",
"cluster: 6 underscores coefficient: 0.0004\n",
"cluster: 6 understand coefficient: 0.0003\n",
"cluster: 6 understandable coefficient: 0.0004\n",
"cluster: 6 underway coefficient: 0.0008\n",
"cluster: 6 unen coefficient: 0.0004\n",
"cluster: 6 uni coefficient: 0.0006\n",
"cluster: 6 unicef coefficient: 0.0005\n",
"cluster: 6 unico coefficient: 0.0003\n",
"cluster: 6 unido coefficient: 0.0012\n",
"cluster: 6 unilaterally coefficient: 0.0004\n",
"cluster: 6 uninsured coefficient: 0.0005\n",
"cluster: 6 union coefficient: 0.0007\n",
"cluster: 6 united coefficient: 0.0009\n",
"cluster: 6 units coefficient: 0.0004\n",
"cluster: 6 universidad coefficient: 0.0012\n",
"cluster: 6 universidades coefficient: 0.0003\n",
"cluster: 6 university coefficient: 0.0007\n",
"cluster: 6 unknown coefficient: 0.0004\n",
"cluster: 6 unless coefficient: 0.0012\n",
"cluster: 6 unlike coefficient: 0.0004\n",
"cluster: 6 unmentioned coefficient: 0.0004\n",
"cluster: 6 unpaid coefficient: 0.0003\n",
"cluster: 6 unprecedented coefficient: 0.0004\n",
"cluster: 6 unprotected coefficient: 0.0003\n",
"cluster: 6 uns coefficient: 0.0003\n",
"cluster: 6 unstable coefficient: 0.0003\n",
"cluster: 6 unturned coefficient: 0.0004\n",
"cluster: 6 unu coefficient: 0.0004\n",
"cluster: 6 unveiled coefficient: 0.0003\n",
"cluster: 6 unwell coefficient: 0.0004\n",
"cluster: 6 update coefficient: 0.0020\n",
"cluster: 6 updated coefficient: 0.0009\n",
"cluster: 6 updates coefficient: 0.0007\n",
"cluster: 6 upon coefficient: 0.0007\n",
"cluster: 6 upped coefficient: 0.0005\n",
"cluster: 6 upperdeck coefficient: 0.0003\n",
"cluster: 6 upset coefficient: 0.0003\n",
"cluster: 6 urgence coefficient: 0.0003\n",
"cluster: 6 urgences coefficient: 0.0003\n",
"cluster: 6 urgencia coefficient: 0.0005\n",
"cluster: 6 urgency coefficient: 0.0004\n",
"cluster: 6 urgent coefficient: 0.0015\n",
"cluster: 6 urgente coefficient: 0.0003\n",
"cluster: 6 urgentiste coefficient: 0.0003\n",
"cluster: 6 uribe coefficient: 0.0003\n",
"cluster: 6 ursula coefficient: 0.0005\n",
"cluster: 6 ursulavonderleyen coefficient: 0.0002\n",
"cluster: 6 us coefficient: 0.0072\n",
"cluster: 6 usa coefficient: 0.0030\n",
"cluster: 6 use coefficient: 0.0027\n",
"cluster: 6 used coefficient: 0.0003\n",
"cluster: 6 useful coefficient: 0.0008\n",
"cluster: 6 user coefficient: 0.0003\n",
"cluster: 6 usher coefficient: 0.0003\n",
"cluster: 6 using coefficient: 0.0010\n",
"cluster: 6 uso coefficient: 0.0003\n",
"cluster: 6 usted coefficient: 0.0007\n",
"cluster: 6 ustedes coefficient: 0.0003\n",
"cluster: 6 utah coefficient: 0.0003\n",
"cluster: 6 uyghur coefficient: 0.0003\n",
"cluster: 6 uzerinden coefficient: 0.0003\n",
"cluster: 6 va coefficient: 0.0006\n",
"cluster: 6 vaathicoming coefficient: 0.0003\n",
"cluster: 6 vacaciones coefficient: 0.0007\n",
"cluster: 6 vacay coefficient: 0.0004\n",
"cluster: 6 vaccin coefficient: 0.0003\n",
"cluster: 6 vaccine coefficient: 0.0012\n",
"cluster: 6 vaccines coefficient: 0.0003\n",
"cluster: 6 vacuna coefficient: 0.0004\n",
"cluster: 6 vacunas coefficient: 0.0004\n",
"cluster: 6 valdebebas coefficient: 0.0005\n",
"cluster: 6 valemadrismo coefficient: 0.0005\n",
"cluster: 6 valencia coefficient: 0.0003\n",
"cluster: 6 validar coefficient: 0.0003\n",
"cluster: 6 valla coefficient: 0.0003\n",
"cluster: 6 vallejo coefficient: 0.0003\n",
"cluster: 6 vamos coefficient: 0.0004\n",
"cluster: 6 van coefficient: 0.0021\n",
"cluster: 6 vanderpumprules coefficient: 0.0005\n",
"cluster: 6 vandyke coefficient: 0.0003\n",
"cluster: 6 var coefficient: 0.0005\n",
"cluster: 6 varios coefficient: 0.0010\n",
"cluster: 6 vaso coefficient: 0.0003\n",
"cluster: 6 vayan coefficient: 0.0004\n",
"cluster: 6 vdl coefficient: 0.0003\n",
"cluster: 6 vede coefficient: 0.0002\n",
"cluster: 6 ven coefficient: 0.0003\n",
"cluster: 6 vence coefficient: 0.0003\n",
"cluster: 6 vend coefficient: 0.0003\n",
"cluster: 6 vende coefficient: 0.0002\n",
"cluster: 6 venera coefficient: 0.0002\n",
"cluster: 6 venezuela coefficient: 0.0012\n",
"cluster: 6 venga coefficient: 0.0007\n",
"cluster: 6 ventilatori coefficient: 0.0003\n",
"cluster: 6 ver coefficient: 0.0006\n",
"cluster: 6 veraguas coefficient: 0.0003\n",
"cluster: 6 verbleibt coefficient: 0.0003\n",
"cluster: 6 verdachtsf coefficient: 0.0003\n",
"cluster: 6 verdad coefficient: 0.0003\n",
"cluster: 6 verecek coefficient: 0.0003\n",
"cluster: 6 veres coefficient: 0.0004\n",
"cluster: 6 verhalen coefficient: 0.0002\n",
"cluster: 6 vers coefficient: 0.0003\n",
"cluster: 6 verschrikkelijke coefficient: 0.0002\n",
"cluster: 6 version coefficient: 0.0010\n",
"cluster: 6 vertical coefficient: 0.0004\n",
"cluster: 6 vestiaire coefficient: 0.0003\n",
"cluster: 6 veterans coefficient: 0.0004\n",
"cluster: 6 vez coefficient: 0.0003\n",
"cluster: 6 via coefficient: 0.0016\n",
"cluster: 6 viajan coefficient: 0.0003\n",
"cluster: 6 viajando coefficient: 0.0005\n",
"cluster: 6 viajeros coefficient: 0.0006\n",
"cluster: 6 viajes coefficient: 0.0003\n",
"cluster: 6 vice coefficient: 0.0012\n",
"cluster: 6 victim coefficient: 0.0004\n",
"cluster: 6 victims coefficient: 0.0007\n",
"cluster: 6 videconfer coefficient: 0.0003\n",
"cluster: 6 video coefficient: 0.0019\n",
"cluster: 6 videoconfer coefficient: 0.0003\n",
"cluster: 6 videos coefficient: 0.0004\n",
"cluster: 6 videosunu coefficient: 0.0003\n",
"cluster: 6 vie coefficient: 0.0006\n",
"cluster: 6 viene coefficient: 0.0011\n",
"cluster: 6 vient coefficient: 0.0004\n",
"cluster: 6 vieux coefficient: 0.0003\n",
"cluster: 6 vieze coefficient: 0.0005\n",
"cluster: 6 vigentes coefficient: 0.0004\n",
"cluster: 6 vigilancia coefficient: 0.0004\n",
"cluster: 6 vigili coefficient: 0.0004\n",
"cluster: 6 vijay coefficient: 0.0011\n",
"cluster: 6 vila coefficient: 0.0003\n",
"cluster: 6 villariva coefficient: 0.0003\n",
"cluster: 6 ville coefficient: 0.0004\n",
"cluster: 6 villes coefficient: 0.0003\n",
"cluster: 6 violent coefficient: 0.0003\n",
"cluster: 6 vir coefficient: 0.0011\n",
"cluster: 6 virtual coefficient: 0.0003\n",
"cluster: 6 virtuales coefficient: 0.0004\n",
"cluster: 6 virtuts coefficient: 0.0003\n",
"cluster: 6 virus coefficient: 0.0088\n",
"cluster: 6 viruscorona coefficient: 0.0010\n",
"cluster: 6 viruses coefficient: 0.0015\n",
"cluster: 6 visa coefficient: 0.0007\n",
"cluster: 6 visas coefficient: 0.0011\n",
"cluster: 6 visit coefficient: 0.0027\n",
"cluster: 6 visited coefficient: 0.0003\n",
"cluster: 6 visiting coefficient: 0.0008\n",
"cluster: 6 vitamin coefficient: 0.0010\n",
"cluster: 6 vivek coefficient: 0.0003\n",
"cluster: 6 viviendo coefficient: 0.0005\n",
"cluster: 6 vivimos coefficient: 0.0006\n",
"cluster: 6 vivo coefficient: 0.0005\n",
"cluster: 6 vlada coefficient: 0.0003\n",
"cluster: 6 vocaci coefficient: 0.0004\n",
"cluster: 6 voice coefficient: 0.0008\n",
"cluster: 6 volatile coefficient: 0.0003\n",
"cluster: 6 volg coefficient: 0.0002\n",
"cluster: 6 volunteers coefficient: 0.0003\n",
"cluster: 6 voor coefficient: 0.0003\n",
"cluster: 6 voorbeelden coefficient: 0.0003\n",
"cluster: 6 voquent coefficient: 0.0003\n",
"cluster: 6 vor coefficient: 0.0003\n",
"cluster: 6 vote coefficient: 0.0007\n",
"cluster: 6 votebluenomatterwho coefficient: 0.0005\n",
"cluster: 6 voters coefficient: 0.0003\n",
"cluster: 6 voting coefficient: 0.0011\n",
"cluster: 6 voto coefficient: 0.0003\n",
"cluster: 6 vox coefficient: 0.0003\n",
"cluster: 6 vpn coefficient: 0.0004\n",
"cluster: 6 vraiment coefficient: 0.0003\n",
"cluster: 6 vs coefficient: 0.0014\n",
"cluster: 6 vuela coefficient: 0.0004\n",
"cluster: 6 vuelos coefficient: 0.0009\n",
"cluster: 6 vuelta coefficient: 0.0006\n",
"cluster: 6 vulnerable coefficient: 0.0012\n",
"cluster: 6 vylon coefficient: 0.0005\n",
"cluster: 6 waarderen coefficient: 0.0003\n",
"cluster: 6 wage coefficient: 0.0003\n",
"cluster: 6 wait coefficient: 0.0010\n",
"cluster: 6 waiting coefficient: 0.0015\n",
"cluster: 6 waive coefficient: 0.0004\n",
"cluster: 6 wajngarten coefficient: 0.0015\n",
"cluster: 6 wake coefficient: 0.0004\n",
"cluster: 6 wakeupamerica coefficient: 0.0004\n",
"cluster: 6 walk coefficient: 0.0004\n",
"cluster: 6 walked coefficient: 0.0003\n",
"cluster: 6 wall coefficient: 0.0013\n",
"cluster: 6 wallet coefficient: 0.0005\n",
"cluster: 6 walls coefficient: 0.0009\n",
"cluster: 6 walter coefficient: 0.0003\n",
"cluster: 6 wang coefficient: 0.0003\n",
"cluster: 6 wann coefficient: 0.0003\n",
"cluster: 6 want coefficient: 0.0038\n",
"cluster: 6 wanted coefficient: 0.0007\n",
"cluster: 6 wanting coefficient: 0.0003\n",
"cluster: 6 wants coefficient: 0.0014\n",
"cluster: 6 wapo coefficient: 0.0004\n",
"cluster: 6 waprimary coefficient: 0.0003\n",
"cluster: 6 war coefficient: 0.0004\n",
"cluster: 6 warned coefficient: 0.0005\n",
"cluster: 6 warning coefficient: 0.0004\n",
"cluster: 6 warrentobernie coefficient: 0.0003\n",
"cluster: 6 warriors coefficient: 0.0005\n",
"cluster: 6 wary coefficient: 0.0003\n",
"cluster: 6 wash coefficient: 0.0021\n",
"cluster: 6 washed coefficient: 0.0005\n",
"cluster: 6 washhands coefficient: 0.0004\n",
"cluster: 6 washing coefficient: 0.0011\n",
"cluster: 6 washington coefficient: 0.0005\n",
"cluster: 6 washingtonprimary coefficient: 0.0003\n",
"cluster: 6 washyourhands coefficient: 0.0014\n",
"cluster: 6 waste coefficient: 0.0003\n",
"cluster: 6 wat coefficient: 0.0005\n",
"cluster: 6 watch coefficient: 0.0040\n",
"cluster: 6 watching coefficient: 0.0004\n",
"cluster: 6 water coefficient: 0.0006\n",
"cluster: 6 wave coefficient: 0.0004\n",
"cluster: 6 way coefficient: 0.0028\n",
"cluster: 6 wayne coefficient: 0.0003\n",
"cluster: 6 ways coefficient: 0.0005\n",
"cluster: 6 weak coefficient: 0.0003\n",
"cluster: 6 wealthy coefficient: 0.0004\n",
"cluster: 6 weapon coefficient: 0.0004\n",
"cluster: 6 wear coefficient: 0.0010\n",
"cluster: 6 wears coefficient: 0.0003\n",
"cluster: 6 web coefficient: 0.0003\n",
"cluster: 6 webinar coefficient: 0.0004\n",
"cluster: 6 website coefficient: 0.0004\n",
"cluster: 6 websites coefficient: 0.0005\n",
"cluster: 6 wed coefficient: 0.0004\n",
"cluster: 6 wednesday coefficient: 0.0004\n",
"cluster: 6 wednesdaywisdom coefficient: 0.0007\n",
"cluster: 6 week coefficient: 0.0033\n",
"cluster: 6 weekend coefficient: 0.0007\n",
"cluster: 6 weeks coefficient: 0.0012\n",
"cluster: 6 wein coefficient: 0.0003\n",
"cluster: 6 weiter coefficient: 0.0003\n",
"cluster: 6 welcome coefficient: 0.0004\n",
"cluster: 6 welcoming coefficient: 0.0003\n",
"cluster: 6 welfare coefficient: 0.0003\n",
"cluster: 6 well coefficient: 0.0030\n",
"cluster: 6 wendesdaywant coefficient: 0.0003\n",
"cluster: 6 wenliang coefficient: 0.0003\n",
"cluster: 6 went coefficient: 0.0004\n",
"cluster: 6 werden coefficient: 0.0003\n",
"cluster: 6 werkelijkheid coefficient: 0.0002\n",
"cluster: 6 west coefficient: 0.0006\n",
"cluster: 6 westchester coefficient: 0.0003\n",
"cluster: 6 westminster coefficient: 0.0004\n",
"cluster: 6 weten coefficient: 0.0003\n",
"cluster: 6 wework coefficient: 0.0007\n",
"cluster: 6 wfmwradio coefficient: 0.0005\n",
"cluster: 6 whatsapp coefficient: 0.0007\n",
"cluster: 6 whatsoever coefficient: 0.0004\n",
"cluster: 6 whit coefficient: 0.0007\n",
"cluster: 6 white coefficient: 0.0005\n",
"cluster: 6 whiteaustralia coefficient: 0.0004\n",
"cluster: 6 whitehouse coefficient: 0.0006\n",
"cluster: 6 whitmer coefficient: 0.0011\n",
"cluster: 6 whoever coefficient: 0.0003\n",
"cluster: 6 whole coefficient: 0.0017\n",
"cluster: 6 whose coefficient: 0.0003\n",
"cluster: 6 wicked coefficient: 0.0005\n",
"cluster: 6 wide coefficient: 0.0004\n",
"cluster: 6 wieder coefficient: 0.0003\n",
"cluster: 6 wieler coefficient: 0.0003\n",
"cluster: 6 wife coefficient: 0.0007\n",
"cluster: 6 wil coefficient: 0.0003\n",
"cluster: 6 william coefficient: 0.0003\n",
"cluster: 6 win coefficient: 0.0007\n",
"cluster: 6 wind coefficient: 0.0003\n",
"cluster: 6 winner coefficient: 0.0003\n",
"cluster: 6 winning coefficient: 0.0004\n",
"cluster: 6 wipe coefficient: 0.0004\n",
"cluster: 6 wipes coefficient: 0.0007\n",
"cluster: 6 wishing coefficient: 0.0010\n",
"cluster: 6 withholding coefficient: 0.0004\n",
"cluster: 6 within coefficient: 0.0004\n",
"cluster: 6 without coefficient: 0.0018\n",
"cluster: 6 witness coefficient: 0.0003\n",
"cluster: 6 witnessed coefficient: 0.0003\n",
"cluster: 6 woeful coefficient: 0.0003\n",
"cluster: 6 woke coefficient: 0.0003\n",
"cluster: 6 women coefficient: 0.0003\n",
"cluster: 6 wonder coefficient: 0.0007\n",
"cluster: 6 wonderful coefficient: 0.0004\n",
"cluster: 6 wondering coefficient: 0.0003\n",
"cluster: 6 wont coefficient: 0.0004\n",
"cluster: 6 woot coefficient: 0.0006\n",
"cluster: 6 word coefficient: 0.0008\n",
"cluster: 6 worden coefficient: 0.0002\n",
"cluster: 6 words coefficient: 0.0010\n",
"cluster: 6 wore coefficient: 0.0004\n",
"cluster: 6 work coefficient: 0.0039\n",
"cluster: 6 workaround coefficient: 0.0003\n",
"cluster: 6 worker coefficient: 0.0006\n",
"cluster: 6 workers coefficient: 0.0013\n",
"cluster: 6 working coefficient: 0.0031\n",
"cluster: 6 workplace coefficient: 0.0006\n",
"cluster: 6 works coefficient: 0.0015\n",
"cluster: 6 world coefficient: 0.0016\n",
"cluster: 6 worldwide coefficient: 0.0014\n",
"cluster: 6 worried coefficient: 0.0006\n",
"cluster: 6 worries coefficient: 0.0004\n",
"cluster: 6 worry coefficient: 0.0003\n",
"cluster: 6 worrying coefficient: 0.0004\n",
"cluster: 6 worse coefficient: 0.0003\n",
"cluster: 6 worst coefficient: 0.0018\n",
"cluster: 6 worstpresidentinhistory coefficient: 0.0006\n",
"cluster: 6 worthy coefficient: 0.0004\n",
"cluster: 6 would coefficient: 0.0032\n",
"cluster: 6 wow coefficient: 0.0004\n",
"cluster: 6 wradio coefficient: 0.0005\n",
"cluster: 6 wrecking coefficient: 0.0003\n",
"cluster: 6 write coefficient: 0.0010\n",
"cluster: 6 wrong coefficient: 0.0007\n",
"cluster: 6 wtf coefficient: 0.0007\n",
"cluster: 6 wuchang coefficient: 0.0003\n",
"cluster: 6 wuhan coefficient: 0.0050\n",
"cluster: 6 wuhancoronavirus coefficient: 0.0005\n",
"cluster: 6 wuhancoronavius coefficient: 0.0005\n",
"cluster: 6 wuhanvirus coefficient: 0.0006\n",
"cluster: 6 ww coefficient: 0.0005\n",
"cluster: 6 wwgwga coefficient: 0.0003\n",
"cluster: 6 xi coefficient: 0.0015\n",
"cluster: 6 xico coefficient: 0.0014\n",
"cluster: 6 xijinping coefficient: 0.0007\n",
"cluster: 6 xinjiang coefficient: 0.0003\n",
"cluster: 6 yak coefficient: 0.0003\n",
"cluster: 6 yang coefficient: 0.0005\n",
"cluster: 6 yanseavenezuela coefficient: 0.0003\n",
"cluster: 6 yap coefficient: 0.0003\n",
"cluster: 6 yay coefficient: 0.0003\n",
"cluster: 6 yayalim coefficient: 0.0003\n",
"cluster: 6 yaz coefficient: 0.0003\n",
"cluster: 6 yazd coefficient: 0.0003\n",
"cluster: 6 ye coefficient: 0.0006\n",
"cluster: 6 year coefficient: 0.0023\n",
"cluster: 6 years coefficient: 0.0009\n",
"cluster: 6 yes coefficient: 0.0011\n",
"cluster: 6 yesterday coefficient: 0.0010\n",
"cluster: 6 yet coefficient: 0.0027\n",
"cluster: 6 yi coefficient: 0.0003\n",
"cluster: 6 yoelijoserresponsable coefficient: 0.0004\n",
"cluster: 6 yomequedoencasa coefficient: 0.0007\n",
"cluster: 6 yor coefficient: 0.0006\n",
"cluster: 6 york coefficient: 0.0006\n",
"cluster: 6 yorum coefficient: 0.0004\n",
"cluster: 6 yorumsuz coefficient: 0.0004\n",
"cluster: 6 yoshiki coefficient: 0.0004\n",
"cluster: 6 yoshikichannelinternational coefficient: 0.0004\n",
"cluster: 6 youknowyouwanttobehelpful coefficient: 0.0004\n",
"cluster: 6 young coefficient: 0.0022\n",
"cluster: 6 youngisrael coefficient: 0.0004\n",
"cluster: 6 youth coefficient: 0.0003\n",
"cluster: 6 youtube coefficient: 0.0005\n",
"cluster: 6 zakon coefficient: 0.0003\n",
"cluster: 6 zaman coefficient: 0.0003\n",
"cluster: 6 zamanda coefficient: 0.0003\n",
"cluster: 6 zarate coefficient: 0.0006\n",
"cluster: 6 zechariah coefficient: 0.0006\n",
"cluster: 6 zeg coefficient: 0.0002\n",
"cluster: 6 zerbino coefficient: 0.0002\n",
"cluster: 6 zero coefficient: 0.0004\n",
"cluster: 6 zh coefficient: 0.0003\n",
"cluster: 6 zij coefficient: 0.0003\n",
"cluster: 6 zl coefficient: 0.0004\n",
"cluster: 6 zo coefficient: 0.0003\n",
"cluster: 6 zodat coefficient: 0.0002\n",
"cluster: 6 zombie coefficient: 0.0004\n",
"cluster: 6 zombies coefficient: 0.0005\n",
"cluster: 6 zona coefficient: 0.0006\n",
"cluster: 6 zone coefficient: 0.0004\n",
"cluster: 6 zullen coefficient: 0.0003\n",
"cluster: 6 zur coefficient: 0.0003\n",
"cluster: 7 corporate coefficient: 0.4289\n",
"cluster: 7 fracking coefficient: 0.4487\n",
"cluster: 7 halt coefficient: 0.4135\n",
"cluster: 7 socialism coefficient: 0.4289\n",
"cluster: 7 trump coefficient: 0.2753\n",
"cluster: 7 tuesdaythoughts coefficient: 0.4289\n",
"cluster: 8 abitati coefficient: 0.3746\n",
"cluster: 8 francia coefficient: 0.3249\n",
"cluster: 8 germania coefficient: 0.3746\n",
"cluster: 8 giappone coefficient: 0.3746\n",
"cluster: 8 italia coefficient: 0.2618\n",
"cluster: 8 letti coefficient: 0.3746\n",
"cluster: 8 numero coefficient: 0.3526\n",
"cluster: 8 ospedalieri coefficient: 0.3746\n",
"cluster: 9 appears coefficient: 0.4205\n",
"cluster: 9 china coefficient: 0.2630\n",
"cluster: 9 coronavirusamerica coefficient: 0.4674\n",
"cluster: 9 covid coefficient: 0.1561\n",
"cluster: 9 deleted coefficient: 0.4674\n",
"cluster: 9 since coefficient: 0.3585\n",
"cluster: 9 tweet coefficient: 0.4054\n",
"cluster: 10 coronavirusaustralia coefficient: 0.3938\n",
"cluster: 10 heights coefficient: 0.3938\n",
"cluster: 10 like coefficient: 0.2655\n",
"cluster: 10 new coefficient: 0.2753\n",
"cluster: 10 reached coefficient: 0.3707\n",
"cluster: 10 seems coefficient: 0.3543\n",
"cluster: 10 toiletpaper coefficient: 0.3543\n",
"cluster: 10 wars coefficient: 0.3938\n",
"cluster: 11 ampliamos coefficient: 0.2910\n",
"cluster: 11 ar coefficient: 0.2910\n",
"cluster: 11 comercial coefficient: 0.2910\n",
"cluster: 11 importante coefficient: 0.2618\n",
"cluster: 11 informaci coefficient: 0.4310\n",
"cluster: 11 modificar coefficient: 0.2910\n",
"cluster: 11 pol coefficient: 0.2910\n",
"cluster: 11 preocupaciones coefficient: 0.2910\n",
"cluster: 11 puedas coefficient: 0.2910\n",
"cluster: 11 tica coefficient: 0.2618\n",
"cluster: 11 vuelo coefficient: 0.2910\n",
"cluster: 12 covid coefficient: 0.0875\n",
"cluster: 12 essential coefficient: 0.2273\n",
"cluster: 12 freebie coefficient: 0.2620\n",
"cluster: 12 hand coefficient: 0.2204\n",
"cluster: 12 handhygiene coefficient: 0.2620\n",
"cluster: 12 help coefficient: 0.1910\n",
"cluster: 12 ksleg coefficient: 0.2620\n",
"cluster: 12 long coefficient: 0.2145\n",
"cluster: 12 luck coefficient: 0.2620\n",
"cluster: 12 outlast coefficient: 0.2620\n",
"cluster: 12 please coefficient: 0.1808\n",
"cluster: 12 popular coefficient: 0.2467\n",
"cluster: 12 proper coefficient: 0.2204\n",
"cluster: 12 sanitizers coefficient: 0.2357\n",
"cluster: 12 spread coefficient: 0.1647\n",
"cluster: 12 sudden coefficient: 0.2620\n",
"cluster: 12 super coefficient: 0.2620\n",
"cluster: 12 washyourhands coefficient: 0.2204\n",
"cluster: 12 word coefficient: 0.2357\n",
"cluster: 13 administration coefficient: 0.2134\n",
"cluster: 13 areas coefficient: 0.2316\n",
"cluster: 13 bottom coefficient: 0.2461\n",
"cluster: 13 catching coefficient: 0.2316\n",
"cluster: 13 courtrooms coefficient: 0.2461\n",
"cluster: 13 coustaff coefficient: 0.2461\n",
"cluster: 13 english coefficient: 0.2461\n",
"cluster: 13 explain coefficient: 0.2461\n",
"cluster: 13 immediately coefficient: 0.2214\n",
"cluster: 13 immigration coefficient: 0.2461\n",
"cluster: 13 nationwide coefficient: 0.2461\n",
"cluster: 13 orders coefficient: 0.2461\n",
"cluster: 13 posters coefficient: 0.2461\n",
"cluster: 13 prevent coefficient: 0.2014\n",
"cluster: 13 spanish coefficient: 0.2316\n",
"cluster: 13 spreading coefficient: 0.2014\n",
"cluster: 13 take coefficient: 0.1794\n",
"cluster: 13 trump coefficient: 0.1421\n",
"cluster: 13 virus coefficient: 0.1431\n",
"cluster: 13 waiting coefficient: 0.2134\n",
"cluster: 14 advice coefficient: 0.2444\n",
"cluster: 14 asked coefficient: 0.2653\n",
"cluster: 14 changes coefficient: 0.2444\n",
"cluster: 14 collection coefficient: 0.2818\n",
"cluster: 14 covid coefficient: 0.0941\n",
"cluster: 14 handling coefficient: 0.2818\n",
"cluster: 14 possible coefficient: 0.2370\n",
"cluster: 14 put coefficient: 0.2252\n",
"cluster: 14 related coefficient: 0.2535\n",
"cluster: 14 resources coefficient: 0.2653\n",
"cluster: 14 several coefficient: 0.2653\n",
"cluster: 14 small coefficient: 0.2653\n",
"cluster: 14 teachers coefficient: 0.2818\n",
"cluster: 14 together coefficient: 0.2252\n",
"cluster: 14 topic coefficient: 0.2818\n",
"cluster: 14 via coefficient: 0.2252\n",
"cluster: 15 aislados coefficient: 0.1078\n",
"cluster: 15 arsenal coefficient: 0.3743\n",
"cluster: 15 city coefficient: 0.2321\n",
"cluster: 15 codvid coefficient: 0.0907\n",
"cluster: 15 consejo coefficient: 0.1078\n",
"cluster: 15 contacto coefficient: 0.1015\n",
"cluster: 15 despu coefficient: 0.0970\n",
"cluster: 15 dico coefficient: 0.0862\n",
"cluster: 15 due coefficient: 0.0735\n",
"cluster: 15 entrado coefficient: 0.1078\n",
"cluster: 15 evangelos coefficient: 0.1078\n",
"cluster: 15 futbolistas coefficient: 0.1078\n",
"cluster: 15 haber coefficient: 0.1015\n",
"cluster: 15 hace coefficient: 0.0907\n",
"cluster: 15 league coefficient: 0.2901\n",
"cluster: 15 manchester coefficient: 0.2773\n",
"cluster: 15 marinakis coefficient: 0.1078\n",
"cluster: 15 olympiacos coefficient: 0.1078\n",
"cluster: 15 partido coefficient: 0.2901\n",
"cluster: 15 premier coefficient: 0.2773\n",
"cluster: 15 primer coefficient: 0.2592\n",
"cluster: 15 suspendido coefficient: 0.2673\n",
"cluster: 15 varios coefficient: 0.0935\n",
"cluster: 16 believe coefficient: 0.1007\n",
"cluster: 16 china coefficient: 0.0653\n",
"cluster: 16 coronavirusoutbreak coefficient: 0.1282\n",
"cluster: 16 covid coefficient: 0.8350\n",
"cluster: 16 onlinenews coefficient: 0.1748\n",
"cluster: 17 america coefficient: 0.3089\n",
"cluster: 17 breaking coefficient: 0.2544\n",
"cluster: 17 bsmsm coefficient: 0.3774\n",
"cluster: 17 bssci coefficient: 0.3774\n",
"cluster: 17 deadly coefficient: 0.3089\n",
"cluster: 17 partii coefficient: 0.3774\n",
"cluster: 17 shiva coefficient: 0.3552\n",
"cluster: 17 two coefficient: 0.2751\n",
"cluster: 17 viruses coefficient: 0.3395\n",
"cluster: 18 asking coefficient: 0.2753\n",
"cluster: 18 buyers coefficient: 0.3174\n",
"cluster: 18 certain coefficient: 0.2988\n",
"cluster: 18 clients coefficient: 0.3174\n",
"cluster: 18 entering coefficient: 0.2988\n",
"cluster: 18 homes coefficient: 0.2856\n",
"cluster: 18 precautions coefficient: 0.3174\n",
"cluster: 18 realtors coefficient: 0.3174\n",
"cluster: 18 research coefficient: 0.2856\n",
"cluster: 18 say coefficient: 0.2483\n",
"cluster: 18 take coefficient: 0.2314\n",
"cluster: 18 via coefficient: 0.2537\n",
"cluster: 19 cancel coefficient: 0.2834\n",
"cluster: 19 citizens coefficient: 0.3172\n",
"cluster: 19 coward coefficient: 0.3370\n",
"cluster: 19 halls coefficient: 0.3172\n",
"cluster: 19 hides coefficient: 0.3370\n",
"cluster: 19 oh coefficient: 0.2923\n",
"cluster: 19 pa coefficient: 0.2118\n",
"cluster: 19 scheduled coefficient: 0.3031\n",
"cluster: 19 town coefficient: 0.3031\n",
"cluster: 19 wait coefficient: 0.2923\n",
"cluster: 19 wonder coefficient: 0.3031\n",
"cluster: 20 addressing coefficient: 0.2273\n",
"cluster: 20 conference coefficient: 0.1977\n",
"cluster: 20 contain coefficient: 0.1977\n",
"cluster: 20 country coefficient: 0.1688\n",
"cluster: 20 goj coefficient: 0.2273\n",
"cluster: 20 held coefficient: 0.2095\n",
"cluster: 20 including coefficient: 0.2031\n",
"cluster: 20 infection coefficient: 0.1889\n",
"cluster: 20 japan coefficient: 0.4062\n",
"cluster: 20 journalists coefficient: 0.2273\n",
"cluster: 20 legislative coefficient: 0.2273\n",
"cluster: 20 move coefficient: 0.2173\n",
"cluster: 20 new coefficient: 0.1688\n",
"cluster: 20 number coefficient: 0.1789\n",
"cluster: 20 officials coefficient: 0.1889\n",
"cluster: 20 pcr coefficient: 0.2273\n",
"cluster: 20 press coefficient: 0.1852\n",
"cluster: 20 questions coefficient: 0.2095\n",
"cluster: 20 spread coefficient: 0.1518\n",
"cluster: 20 system coefficient: 0.1889\n",
"cluster: 20 test coefficient: 0.1889\n",
"cluster: 20 update coefficient: 0.1819\n",
"cluster: 21 bir coefficient: 0.7071\n",
"cluster: 21 bitmediniz coefficient: 0.7071\n",
"cluster: 22 bilancio coefficient: 0.2456\n",
"cluster: 22 connesse coefficient: 0.2456\n",
"cluster: 22 conversione coefficient: 0.2456\n",
"cluster: 22 covid coefficient: 0.0820\n",
"cluster: 22 da coefficient: 0.1740\n",
"cluster: 22 ddl coefficient: 0.2456\n",
"cluster: 22 di coefficient: 0.1884\n",
"cluster: 22 dossier coefficient: 0.2456\n",
"cluster: 22 emergenza coefficient: 0.2210\n",
"cluster: 22 epidemiologica coefficient: 0.2456\n",
"cluster: 22 famiglie coefficient: 0.2456\n",
"cluster: 22 imprese coefficient: 0.2456\n",
"cluster: 22 lavoratori coefficient: 0.2456\n",
"cluster: 22 misure coefficient: 0.2456\n",
"cluster: 22 per coefficient: 0.1850\n",
"cluster: 22 scheda coefficient: 0.2456\n",
"cluster: 22 sostegno coefficient: 0.2456\n",
"cluster: 22 studi coefficient: 0.2456\n",
"cluster: 22 urgenti coefficient: 0.2456\n",
"cluster: 23 aeropuertos coefficient: 0.2307\n",
"cluster: 23 bocas coefficient: 0.2451\n",
"cluster: 23 chequeados coefficient: 0.2451\n",
"cluster: 23 detectan coefficient: 0.2451\n",
"cluster: 23 dijeron coefficient: 0.2451\n",
"cluster: 23 equipo coefficient: 0.2126\n",
"cluster: 23 mide coefficient: 0.2307\n",
"cluster: 23 ministerio coefficient: 0.2061\n",
"cluster: 23 pasajeros coefficient: 0.4013\n",
"cluster: 23 persona coefficient: 0.2307\n",
"cluster: 23 posible coefficient: 0.2205\n",
"cluster: 23 preparados coefficient: 0.2307\n",
"cluster: 23 protocolo coefficient: 0.2126\n",
"cluster: 23 salud coefficient: 0.1760\n",
"cluster: 23 tapa coefficient: 0.2451\n",
"cluster: 23 temperatura coefficient: 0.2307\n",
"cluster: 23 vienen coefficient: 0.2451\n",
"cluster: 24 authority coefficient: 0.2335\n",
"cluster: 24 cdc coefficient: 0.2125\n",
"cluster: 24 commit coefficient: 0.2443\n",
"cluster: 24 existing coefficient: 0.2596\n",
"cluster: 24 hearing coefficient: 0.2251\n",
"cluster: 24 muscles coefficient: 0.2596\n",
"cluster: 24 oversight coefficient: 0.2596\n",
"cluster: 24 pay coefficient: 0.2251\n",
"cluster: 24 presses coefficient: 0.2596\n",
"cluster: 24 redfield coefficient: 0.2596\n",
"cluster: 24 review coefficient: 0.2596\n",
"cluster: 24 says coefficient: 0.3910\n",
"cluster: 24 testing coefficient: 0.1712\n",
"cluster: 24 treatment coefficient: 0.2183\n",
"cluster: 24 using coefficient: 0.2251\n",
"cluster: 24 yes coefficient: 0.2335\n",
"cluster: 25 breaking coefficient: 0.0665\n",
"cluster: 25 cases coefficient: 0.1901\n",
"cluster: 25 confirmed coefficient: 0.1580\n",
"cluster: 25 covid coefficient: 0.0755\n",
"cluster: 25 coviditalia coefficient: 0.2033\n",
"cluster: 25 deaths coefficient: 0.3310\n",
"cluster: 25 fatality coefficient: 0.0928\n",
"cluster: 25 italy coefficient: 0.4985\n",
"cluster: 25 lombardy coefficient: 0.2958\n",
"cluster: 25 new coefficient: 0.0689\n",
"cluster: 25 rate coefficient: 0.0771\n",
"cluster: 25 reach coefficient: 0.0928\n",
"cluster: 25 reached coefficient: 0.0928\n",
"cluster: 25 region coefficient: 0.0986\n",
"cluster: 25 shockingly coefficient: 0.0986\n",
"cluster: 25 total coefficient: 0.3671\n",
"cluster: 25 whole coefficient: 0.0829\n",
"cluster: 26 anyone coefficient: 0.1951\n",
"cluster: 26 control coefficient: 0.3467\n",
"cluster: 26 deaths coefficient: 0.1696\n",
"cluster: 26 dems coefficient: 0.3762\n",
"cluster: 26 dontbefooled coefficient: 0.2169\n",
"cluster: 26 failed coefficient: 0.2041\n",
"cluster: 26 gun coefficient: 0.2169\n",
"cluster: 26 hmm coefficient: 0.2041\n",
"cluster: 26 issue coefficient: 0.2169\n",
"cluster: 26 multiple coefficient: 0.2041\n",
"cluster: 26 narrative coefficient: 0.1951\n",
"cluster: 26 notice coefficient: 0.2041\n",
"cluster: 26 panic coefficient: 0.1581\n",
"cluster: 26 qanon coefficient: 0.2169\n",
"cluster: 26 right coefficient: 0.1733\n",
"cluster: 26 say coefficient: 0.1696\n",
"cluster: 26 scaretactic coefficient: 0.2169\n",
"cluster: 26 trump coefficient: 0.1252\n",
"cluster: 26 trumpisonestepahead coefficient: 0.2169\n",
"cluster: 26 trusttheplan coefficient: 0.2169\n",
"cluster: 26 wishing coefficient: 0.1951\n",
"cluster: 27 af coefficient: 0.2587\n",
"cluster: 27 bernie coefficient: 0.2175\n",
"cluster: 27 biden coefficient: 0.2175\n",
"cluster: 27 forbid coefficient: 0.2587\n",
"cluster: 27 god coefficient: 0.2327\n",
"cluster: 27 happen coefficient: 0.2244\n",
"cluster: 27 happened coefficient: 0.2587\n",
"cluster: 27 msnbc coefficient: 0.4654\n",
"cluster: 27 nervous coefficient: 0.2435\n",
"cluster: 27 something coefficient: 0.2244\n",
"cluster: 27 supertuesday coefficient: 0.4870\n",
"cluster: 27 would coefficient: 0.1916\n",
"cluster: 28 aber coefficient: 0.2044\n",
"cluster: 28 bei coefficient: 0.4344\n",
"cluster: 28 china coefficient: 0.1222\n",
"cluster: 28 der coefficient: 0.2044\n",
"cluster: 28 die coefficient: 0.1699\n",
"cluster: 28 diesem coefficient: 0.2172\n",
"cluster: 28 ende coefficient: 0.2172\n",
"cluster: 28 enden coefficient: 0.2172\n",
"cluster: 28 epidemie coefficient: 0.2172\n",
"cluster: 28 erreger coefficient: 0.2172\n",
"cluster: 28 fr coefficient: 0.1699\n",
"cluster: 28 heren coefficient: 0.2172\n",
"cluster: 28 hrung coefficient: 0.2044\n",
"cluster: 28 kaum coefficient: 0.2172\n",
"cluster: 28 schon coefficient: 0.2172\n",
"cluster: 28 seuchen coefficient: 0.2172\n",
"cluster: 28 spricht coefficient: 0.2172\n",
"cluster: 28 vom coefficient: 0.2172\n",
"cluster: 28 wie coefficient: 0.2172\n",
"cluster: 28 wird coefficient: 0.2172\n",
"cluster: 29 coronavirusuk coefficient: 0.5042\n",
"cluster: 29 meme coefficient: 0.4746\n",
"cluster: 29 safe coefficient: 0.3676\n",
"cluster: 29 stay coefficient: 0.3622\n",
"cluster: 29 staysafe coefficient: 0.5042\n",
"cluster: 30 amid coefficient: 0.2788\n",
"cluster: 30 global coefficient: 0.2896\n",
"cluster: 30 maybe coefficient: 0.3113\n",
"cluster: 30 olympics coefficient: 0.3702\n",
"cluster: 30 outbreak coefficient: 0.2587\n",
"cluster: 30 postpone coefficient: 0.3484\n",
"cluster: 30 president coefficient: 0.2659\n",
"cluster: 30 said coefficient: 0.2741\n",
"cluster: 30 tokyo coefficient: 0.3702\n",
"cluster: 30 trump coefficient: 0.2138\n",
"cluster: 30 year coefficient: 0.2959\n",
"cluster: 31 coherente coefficient: 0.5541\n",
"cluster: 31 escuchar coefficient: 0.5886\n",
"cluster: 31 vas coefficient: 0.5886\n",
"cluster: 32 binge coefficient: 0.2435\n",
"cluster: 32 bluewave coefficient: 0.2435\n",
"cluster: 32 cure coefficient: 0.2112\n",
"cluster: 32 drinking coefficient: 0.2435\n",
"cluster: 32 foxbusiness coefficient: 0.2435\n",
"cluster: 32 foxnews coefficient: 0.2435\n",
"cluster: 32 get coefficient: 0.1641\n",
"cluster: 32 job coefficient: 0.2048\n",
"cluster: 32 knew coefficient: 0.2435\n",
"cluster: 32 maga coefficient: 0.2435\n",
"cluster: 32 mog coefficient: 0.2435\n",
"cluster: 32 much coefficient: 0.1993\n",
"cluster: 32 night coefficient: 0.2435\n",
"cluster: 32 obviously coefficient: 0.2435\n",
"cluster: 32 press coefficient: 0.1868\n",
"cluster: 32 secretary coefficient: 0.2292\n",
"cluster: 32 since coefficient: 0.1868\n",
"cluster: 32 sleep coefficient: 0.2292\n",
"cluster: 32 staying coefficient: 0.2435\n",
"cluster: 32 trump coefficient: 0.1406\n",
"cluster: 33 blica coefficient: 0.2099\n",
"cluster: 33 bolivia coefficient: 0.2414\n",
"cluster: 33 brun coefficient: 0.2414\n",
"cluster: 33 caso coefficient: 0.2006\n",
"cluster: 33 confirmaron coefficient: 0.2414\n",
"cluster: 33 congo coefficient: 0.2414\n",
"cluster: 33 coronavid coefficient: 0.0976\n",
"cluster: 33 covid coefficient: 0.1653\n",
"cluster: 33 covidespana coefficient: 0.1192\n",
"cluster: 33 covidfrance coefficient: 0.1034\n",
"cluster: 33 covidpr coefficient: 0.1192\n",
"cluster: 33 democr coefficient: 0.2307\n",
"cluster: 33 horas coefficient: 0.2307\n",
"cluster: 33 jamaica coefficient: 0.2414\n",
"cluster: 33 ltimas coefficient: 0.2307\n",
"cluster: 33 mongolia coefficient: 0.2414\n",
"cluster: 33 pa coefficient: 0.1612\n",
"cluster: 33 panam coefficient: 0.2099\n",
"cluster: 33 primer coefficient: 0.2157\n",
"cluster: 33 rep coefficient: 0.2099\n",
"cluster: 33 tica coefficient: 0.2307\n",
"cluster: 33 turqu coefficient: 0.2414\n",
"cluster: 34 americafirst coefficient: 0.5688\n",
"cluster: 34 hysteria coefficient: 0.5354\n",
"cluster: 34 international coefficient: 0.5117\n",
"cluster: 34 one coefficient: 0.3576\n",
"cluster: 35 alarmista coefficient: 0.2331\n",
"cluster: 35 apocalipsis coefficient: 0.2331\n",
"cluster: 35 aqu coefficient: 0.1788\n",
"cluster: 35 casos coefficient: 0.1589\n",
"cluster: 35 cuarentena coefficient: 0.1908\n",
"cluster: 35 datos coefficient: 0.2097\n",
"cluster: 35 dec coefficient: 0.2194\n",
"cluster: 35 entero coefficient: 0.2331\n",
"cluster: 35 hab coefficient: 0.2194\n",
"cluster: 35 hace coefficient: 0.3920\n",
"cluster: 35 hora coefficient: 0.2022\n",
"cluster: 35 hoy coefficient: 0.3575\n",
"cluster: 35 menos coefficient: 0.2194\n",
"cluster: 35 objetivos coefficient: 0.2331\n",
"cluster: 35 pa coefficient: 0.1465\n",
"cluster: 35 poner coefficient: 0.2331\n",
"cluster: 35 serio coefficient: 0.2194\n",
"cluster: 35 tomarnos coefficient: 0.2331\n"
]
}
],
"source": [
"# We will create a centers_list consisting of the cluster number, the word, and its coefficient.\n",
"k = 36\n",
"\n",
"K_model = k_attempts[k-2]\n",
"\n",
"# We will figure out what the cluster_centers_ means\n",
"centers_list = []\n",
"(nz_rows, nz_cols) = np.nonzero(K_model.cluster_centers_)\n",
"\n",
"for (i, j) in zip(nz_rows, nz_cols):\n",
" cluster = i\n",
" word = word_by_index[j]\n",
" coefficient = K_model.cluster_centers_[i,j]\n",
" print('cluster: {0:0.0f} {1:>30s} coefficient: {2:0.4f}'.format(cluster,word,coefficient))\n",
" centers_list.append([cluster, word, coefficient])\n",
"\n",
" \n",
"# What we see is that the coefficients in the cluster_centers vector is the weight that \n",
"# is placed on each of the words in the tweet to find the center of the cluster in the 5453 dimensional\n",
"# space of the model\n",
"\n",
"# for example the center of cluster 0 is whose first word is 'abroad' and last word is 'yet' would be at:\n",
"\n",
"# y_cluster_zero = 0.0161 * x_abroad + 0.0185 * x_abruptly + 0.0111 * x_action + ... + 0.0100 * x_yet"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"colab": {},
"colab_type": "code",
"id": "fmquA-q5lmpe",
"scrolled": true
},
"outputs": [],
"source": [
"# We will create a dataframe based on the cluster centers.\n",
"cols = ['cluster','word','coefficient']\n",
"\n",
"df_centers = pd.DataFrame(centers_list, columns=cols)"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 408
},
"colab_type": "code",
"id": "MmQbJo0Hlmpi",
"outputId": "acd474ae-2ad4-41a3-c5bf-079e4d25e5ab",
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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hnHvJzP6rpL+Ppliotq6uLg0MDBA0Rai7u1v79++fte/YsWPHg6S55v4tmpqatGjRoln7Vq1apZ6eHr8FhSTGhgMA6gtDvoBA2GV0mszMpjfMbIGklmiKhFqYnjmP1tfojIyMaGxsVBPjJ76mpnJybirU19RUbtZ7x8ZGNTIyUuvTSqyOjg41NwfP+LhRAADUGkO+gEDYFtgHJH3ZzG5VMHnTVQrWhQUQUiqV0kIb0hVvt/IHh3DnN53az0l5SQsni8uEWgCAxjA95Gv79u0M+UJDCxvAflLSf5PUrWAd2D5Jn4+qUEBSZV8OAs9Shg8H31uXl0+r/RxPBcNJuFEAaotlrICTMeQLCBnAOuemJPXkvwCcgnXr1p20L5PJ6MiRI7P2HT0WbFvTkln7lyxZolTqRItr+zmF04Q/3CgAtcMyVsDJpod8AY2sZABrZl92zv2WmT2toOvwLM65V5d5/zsl/a2kBZI+75y7schxr5P0qKT/7Jz7StjCA3HS3d190r6enh6l0+lZ+/bt2ydJWr169az969atK5gGosONAlAbrHcZHi3VABpNuRbYT+S/v2e+CecnevqcpMsk7ZX0uJnd5Zx7tsBxf6VgnC3QUAhIAeBkhZaxohW2MFqqATSacgHsPZJeK+nTzrnfmWfar5e0yzmXliQz+5KkKyQ9O+e4qyX9q6TXzTN9ADWQyWT08rD0cJ+f9F5+SdJUxk9iABKBZazCoaUaQBz47ilSLoBtMbMPSrrEzH5j7ovOua+WeO9qSXtmbO+V9IaZB5jZakm/LqlDHgJYumMCABB/rHcZTrVaqummDKASvnuKlAtgr5K0SdIZkt475zUnqVQAW2itkLnjaP9G0iedc5Mzlpk9OSGzKyVdKUlr1qwpU+TZjh49Oq/jAZSWSqWkpiFd2uknvYf7pNTZLAcE4ASWsQqnWi3VdFMGcKqi6ClSLoA9xznXbWY/cM7dNs+090o6b8b2uZLm9hPcKOlL+eB1paR3mVnOOff1mQfl875NkjZu3Fh0DZJCLapbtmyRJN18883zLD6AWinUm6LQjM3FzJ2xWaLXBRAnLGMVTjVaqummDKASUfQUKRfAXifpXxS0xM43gH1c0oVmdoGkfZLeL6lr5gHOuQumfzazf5B0z9zgFUDjSafTeva5p3TajHuksTFpciLc+3NuVHv2Dx3fPnTQcwEBRI5lrMqrRks1E2oBqEQUPUXKBbBZM/uWpAvM7K65Lzrn3lfsjc65nJl9TMHswgsk3e6ce8bMrsq/fmsF5QaQcKetkF53uZ+0Hr/PTzoAqodlrMqrRkt1UibUYhwvUBtR9BQpF8C+W8EsxP8k6Zb5Ju6cu1fSvXP2FQxcnXP/Zb7pAwAANLKoW6qTMqEW43iB2oiip0jJANY5Ny7pUTO7xDl3wMyWOedGK87Vg0Jj5ArZvXu3pBNjYUthjBwAAIiTqFuqkzChFuN4gdqJoqdIuRbYaRvM7CFJyyWtMbNflPTfnHO/X3EJTlE6ndauZ5/TmtbSv4SWyWDOp/F9+0seNzjMIDkAwKlh4jEkVRIm1GIcL1BbvnuKhA1g/0bSOyTdJUnOuSfN7FIvJajAmtYV+pO3+lnL49OP9HlJB6il7u5u7d8/+2HNsWPHjl+4y2lqatKiRYtm7Vu1apV6enq8lREII27reqfTaT31/HOytjOO73Njo1J+7GA5o25K2QM/P/He7MveywicqrhPqJWUcbxAXPnuKRI2gJVzbs+ctVonvZUCgBcjIyMaGxtV84yaPTUluaKLT802NTWl8fETN9y5XJAmUA/qfV1vaztDze/1Mz4wd3e/l3QAH+I+oVZSxvHGVdweSKL+hQ1g95jZJZKcmbVI+gNJz0VXLACnIpVKqalpSJ1v95Ne3zels89OlT8Q8Ix1vYHkqnZAk4RxvL5khgfV89BnSh4zdDjoybVy+aqyaV2U2nBK5aj3B5KNpBozdPvOI2wAe5Wkv5W0WsGarg9I+mjFueMkPKUCgrGDh4b9LX9z6KCUmcz4SQwA4F2UAU0SxvH6sG7dupP2FRqrf2Q82J48Mj5r/9yx+helNhRMcy4eSNa3aszQ7TuPUAGsc25IUuM+rqoxnlIBAICkqEVAE/dxvD4U+r3TcNLYqjFDdxR5hApgzexcSZ+V9GZJTtJ3JH3cObe3otwbXNilgIpJp9MnLQ/EhwuSIJVKaXLBkF53uZ/0Hr9PSq2iKzQAADNxz9jYqjFDdxR5hO1C/EVJvZJ+M7/9gfy+yyrKvcEFSwE9ozWtS0se1zIZdOEY3/fTkscNDo95KxsAAEBSVKObJBA31ZihO4o8wgaw7c65L87Y/gcz+0RFOUOStKZ1qa57yy94SWvrd57xkg4AAEBSVKObJBBH1ZihO4o8wgawQ2b2AUn/nN/+bUnZinOvQCaT0ejwsLf1WweGD2qZsTIQ4u+ll4LZg0s5dCj4ftpp5dM6+2w/5QIAoBaq0U0SiKNqzNAdRR5hA9gPS/o7SX+tYAzsdyV9qOLckVhMClAbYWYDlKTR0d2SpLPPXl/yuLPPDp8mAAD1qBrdJIE4qsYM3VHkETaA/QtJH3TOvSRJZrZC0jYFgW1NpFIpjbsF+pO3dnpJ79OP9KklVXq9K1SG2ZSjF/ZBANPXA35lMhm5kWHl7u73kp7LvqzMhPOSFtDoqtFNEoiraszQ7TuPsAHsq6eDV0lyzh00s1/yUgIkEmt+oVKHDpZfB3Ys3xV6aZmu0IcOSuL5FHBK6FGDuKtGN0kgrtra2rRt27ZY5RE2gG0yszPntMCGfS+KCMbxjnmbfGlgeEzLLOMlLaCWwnZb3n046Ap93qrSXaG1iq7QiFYqlVJ2oan5vX5adnJ39yvVfo6XtKJAjxrESTW6SQKonrBB6C2SvmtmX1EwBva3JH0mslIBaGh0hQbqBz1qkATV6CaJwj02Ctm9O3gAPf1ZUgo9OzBXqADWOfe/zWyHpA5JJuk3nHPPRlqyEAaHD5adhXj/aNDHcNWy0n0MB4cPasPq6vYxDMbxHvO6jE5LKuUlLSRHoYtJsQsHFwkAQBJVo5skpHQ6rZ88u0vnnb6m5HELcy2SpKN7x0set2dk0FvZkByhuwHnA9aaB63TwnYHHN99WJLUUiY43bB6FV0M0TAWL15c6yIAAIAEOu/0NfrjN1znJa1bHtvqJR0kS2zHsdLFEAiHFlUAAAAkRWwDWAAAGkmh4QCZTEZHjhwJ9f4lS5YoNWeYydxhA4xfAwDUOwJYAABiIJ1O66nnn5O1nZhB1Y2NSbmJUO8fdU7ZA/tPvDd7sEgez8va2kqm5VywRu3TBw6UPi6bDVU2AADCIoAFMG/DL0kPl54/TYfza7QuL7NG6/BLUupsP+UCasllX1bu7v7SxwwH8zJY6/KyaanAMjrWtkLN73nHqRdyhtw9DxTcb21tan7PezzlcY+XdAAAmEYAC2BeQq/ROhp0MUydXXqN1tTZrNGK+AtdL0aCerG+3Bqv7edQLwAAKIAAtohqjDUC4ogJ1ICTJaVeZDIZuZERby2nLptVZiJcF2cAAMJIVADrc73LdDqtXc89qzWtrcf3TR4e1VQuF6osk5OTGs/sO749ODwc6n0AAAAAgMISFcAWUsl6l2taW/Unb32Ll3J8+pHveEmnHjFrJQAkQyqVUnbhQq9jYFPt7V7SAgBASlgAS8BTG+l0Wj9+9imlWq3kcQsmg1krD+97uuRxmWHnrWxAIT09PXrwwQdn7RsbGzs+s2o5ZqalS5fO2nfZZZfxGYRIBd17h4tOvjRfLntQmYnJAvuzZbsQu3yvIpvRS6lwHlmJABYA4FGiAljUTqrV1P3WFi9p9Twy7iUdAMD8hJ+MakSStL5ccNrezmRUQAPJZDIaHRnVLY9t9ZLenpEBLcss85IWkoMAtohMJqPRl4e9df0deHlYy1S6hRKQpGw2q61bt+r666/XihUryr8B89bd3U1rKWIn6N67wOsyOqn2VbP2JWUyKgBAchHAAnWmt7dXO3fu1B133KGrr7661sUBTlJo3Pu+fcGkdatXr561n/Hs8edzgkQAyZZKpXR0alx//IbrvKR3y2NbtTjlp4cfkoMAtohUKqVxOa+TOLXMWVZHkgaHx7T1O8+UfO/+0aOSpFXLSk9INTg8pg2rSx4iiZvPepbNZtXX1yfnnPr6+rRp0yZaYRELR48erXURUEWVTJAIAEAlCGBrKOy4oPH8k+6W1ReUPG7D6vBpzsXNZ33o7e3V1NSUJGlqaopWWNSlQg+16FKaXDzEBADUEwLYGqrVWKOk3HwmsSW5v79fufxaw7lcTv39/ZEEsIyzDWfXrl3asmWLbrnlFiaiAQAAqAMEsEiUuLckd3R06P7771cul1Nzc7M6OjoiyYdxtuHcdNNNGhsb04033qjbbrut1sWpCdZ5ri8ue7DsMjpu+JAkyVpPK5uW5kziBACV2jMyWHYW4hdH90uSzlpW+jNoz8igLtQGb2VDMhDAIraS0pI8U1dXl/r6+iRJTU1N2rRpk/c84jrOttoTyezatUsDAwOSpIGBAaXT6YZshU2n03rq+WeklUvLHBksf/XU0E9LHzY05qdgDSj8EjeHJUnrywWn7asa8n8aQHTCfqZM7A6uGYvPLT1B04XawOcUTkIAW8LgcPlldPYfHpUkrVpeeo2qweFhbUiFmGHJM1pP4qWtrU2dnZ3avn27Ojs7IwkskzTONsqJZG666aZZ2/NthS1U9zKZjI4cORLq/UuWLFFqzsRvNat7K5dqwRWv9JLU5J3PnbSPz6lwWOIGQL3jcwrVQABbxLwnWCoTnG5Ira7JE6R0Oq2fPPuUzjt9QcnjFuaCgObo3tIzIu8ZmfRWNhTW1dWlgYGBSFpfpeqNs/Wt2sHIdOtrse1y0um0nn7+KS1sO7EvNya5XLj3H3GjGjkwdHx7Ijuv7L3JZDLSyFjBwPOUDI0pM56ZtSto5X1Walte+r1uQpL01IHB0sdlD1dSQqBhJOpBW4T4PQH1hQC2iCQ9QTrv9AXa8qZy3f/Cufl7ten+10gtNG1tbdq2bVtk6VdrnG3crV27dlbQunbt2nmnsbBNWnmFeSnP0J3OSzp1q225mq/Y6CWp3J07vKRTKdZPRb1Lp9Pa+fxPtKjtvOP7xsdycvmH2uUcdTmNHjgx98Sx7B7vZawH6XRazz+/S+0rTlwHjoxNamIi5Oeym1T2xYnjmwcOzu+BKIDZCGARC+l0Wj967imd3Vo6GGiaDC4mw5mnSx73wnDCg4ESqjHONgmuueYaffSjHz2+fe2119awNLWTSqU01HLMaxfi1MqT18RuFKyfinqzqO08rbniGi9pDd55U/mDYqp9xVr95rv+xEta/3Lvp72kAzQqAlhULJPJ6PCwU88j437SG3ZabpmT9p/davrg2/z8y/7jQyH7cSZQNcbZJsGGDRuOt8KuXbuWSSQwb7SoAgDgHwEsYiGTyejQy85b4PnCy06jOjlIbhRRj7NNimuuuUZbtmyp29ZXxmUBtdHd3a39+/fP2nfs2LHjE+SV09TUpEWLFs3at2rVKvX09Bzfpn4DtVGN+o3KEMAmXCaT0ejIpLexq3tGJrUsMzvwS6VSOuyy6n5r6anQw+p5ZFzLU43bxbAaoh5nmxQbNmzQ1772tVoXo6hg8qOnpZUz6t6RnDQR7iI7qqMaGjp0YseQn14UQNKNjIxodGxMWjij7k05yYUbnjI15ZSbmPFAdmJcIyMjs44J6vePtaDtxCSRU2MTcrlwkymOuQm9dGD0+PZkdl+o9wGNbmRkREdGx7SoeUYQOhm+fss5TR07UU+P5Y6dVL95QFUZAljEQiqV0rCyXrsQtxIkIwlWtqjp18qs9xnS1Nf3lz8IgFKplA4uXK4l7/2Ql/SO3P1FpdpPP2n/grbVWvbejxZ4x/yN3v25k/ZlMhkdGxn1Nnb1WHaPMhOllxWMo0wmo5HhMW9jVw9kB3Qs52dyTfiXSqW0cvJ0Xf8GP8HgXz7Wo5bU7Fn20+m0dj37I605/ezj+yZHj2lqMlxPw8ncMY3vHT6+PTjygpeyxgUB7DzEcUbJVCqlo1MveZ2FeHGNAr8Xhst3IT54OHg6tmJ56XNpHs0AAB7oSURBVMmeXhh2aiV+RYQymYwmRvzNHjyRlTITNer2PhRiGZ3h/EykrWUmKRoak1b6KRZQS1PZF3Tk7i+WPmY4WP+qqbWt9HHZF6QCASyA5Fpz+tm6/o1+HoL95aOlP4uShgC2QswoWR1hJ9AZyj9QaE2tL3lcayp8mkC9CtZoHffXcjo0ftIarWHrye7hoO6tX3lB6QNXUvd8iuOD1SQIXS9GDkiS1pcLTttPPynNTCajyZHDBVtOT8Vkdp8yE7NbgVKplEYXHvU6C3GqPXn3RalUSouaJ7zOQtx21kIvaQG1VKuu0ASw88CFv3aStC4vGkMqldLIwiGv68Cm2qvfbYC6Fz9xfLBa6CZo375gzObq1atn7a+HQJx6AQDTXaGf15rWE12rJkePaCo3UeJdJ0xOSuP7ho5vDw4PlTj6BALYBrAnxCROL44Gk76ctaypbFoXeisZgEoEa7Qe8joGNswarbT61Y84/m7DPrGf3j569OhJx859fxL/z1KplF5aOOp1DGyq/eTxqceye8qOgR0fflGS1NJ6VsnjjmX3SO3cJQDlBJOsHvLW9Xdg5AUty4yWPzACa1pX6oY3/5qXtD7zb18PdRwBbJ3xfWMYtpvTRD6PxeeW7np74TzSBNA44tjqh1OXzWa1detWXX/99fNeSzqYXfd5WVv7iZ0LFwVfM0xP+Dl2+hmz9o9Jyh7Injgue2Be+Ucligc7k9l9ZbsQT+VbLJpaSw8un8zuk9ovOqkcYeweCVpT1pfrHtx+YWLvEQ4cHCg7idPL+Yl0zpgxMU+xtNrO2uCtbECjIYCNgUpuDOnmBNTORLb8JE65/CSCza3l01J76WOqJWktXZi/3t5e7dy5U3fccYeuvvrqeb/f2trV8p7f8FKW8Xu+6iWdKFRy/Q4fXAZB0/oCrauztF90UppJuEeoxhi8sH+Llw8FS5GVG9/adtaGgn8L1h5tHKlUSuNTw14ncWpJlbmRiEAmk9Ho8EjoltNyBoaHtMzKL+lHAFtnuDEEkiH8zWd+8qP20r0f1E7vB9SHbDarvr4+OefU19enTZs2zbsVNol8X7+TEFxWQzqd1nPP79KKtjXH942NTWoiFy7wc25S+w+cuGE+mB086Zhq/C1GRkY0NnZELTPWHnVT81h6dErKjZ845/ECa4/WCsNO4BsBbIUq6UaFyvCBiHpWtZvPoRCzEA/nl59qLfORPzTOEjcoq7e393ir0NTU1Cm3wqI+xfHauqJtjS5/r58Zgu+7289ar/OVSqW0rGmlPniZn/P4xwc/rdazW7ykFQWGnSRDKpXSuGvxOga2JVX+RiTSANbM3inpbyUtkPR559yNc17fJOmT+c3Dkrqdc09GWSbfKu1GlRSZYaeeR0o3+Q+NBo8RVy4rPStrZtjpotUlDymKD0Q0kvkvcVOmlZclbhBCf3+/crngoUgul1N/f39DX/8aAddWVKIeHnIgWSILYM1sgaTPSbpM0l5Jj5vZXc65Z2cc9lNJb3POvWRml0u6TdIboiqTb3SjCoS94d2ff4K7fHXpm+iLVodLs9AH4nSL+HXXXdeQfws0FroYohY6Ojp0//33K5fLqbm5WR0dHbUuUsOoRuuo72CjUJkLKXYehcw8t0wmo+GRUW8tpwezA5qcKDOeOCIvvDSof3zwxHkcPLRf47mjJd5xQkvzYq047cSM9C+8NKjWs5ko6lQNHsroLx8rPX54/1gwgdqqpaVbDAcPZbRBF5U8Js4Gh4fKjoHdPxpM+LFqWelxuoPDQ9qwurYtsK+XtMs5l5YkM/uSpCskHQ9gnXPfnXH8o5LOjbA83tGNKlBPN9G0iANAtLq6utTX1ycpmDhm06ZNNS5RY6v31tF0Oq1nn9+l02eMUS0k54LurnsPlO7NNVJgjGoSFHpwPzq1QFNHSi9vOG3RkgWzugy3nn3yRFEIJ+zvbXx3MHyn5bzlJY/boJMnUEuK8L+rIIBtKROcbli9MlSaUQawqyXtmbG9V6VbVz8i6b5CL5jZlZKulKQ1a0p/AFYT3ajqCy3iABC9trY2dXZ2avv27ers7Jz352wmk5EbGfE2e7DLHlBm4piXtHzzPU9GXLtint62Rm+44jovaT1259ZZ26lUSgsWjnsdA7uqvfpjR+P6t02iemqYqXe1+l1FGcAWGuhYcC41M/tVBQHsWwq97py7TUH3Ym3cuDHkfGzRoxtVfaFFHACqo6urSwMDA7S+lnH77bfr6aef1he+8IVQXWNxag5mB8t2IT40HLSWnda6quRxB7ODWtVO11ugnkUZwO6VdN6M7XMlZeYeZGavlvR5SZc757JzX69ndKOqL7SIA0B1tLW1adu2baf03lQqpezCRV7XgU21t3lJy6dsNqv+/n5JwfXpIx/5CL2CIhC2C+PhkaBrcrnW1VXt4brexnG2ZiApogxgH5d0oZldIGmfpPdL6pp5gJmtkfRVSb/jnPtxhGWJRKXdqODXJZdcom984xvHt9/85jfXsDQAgGJc9kDZLsRu+GVJkrWeUTYt1WEAe/vtt8/qFRRVK2yjL+dXT9096308MpAUkQWwzrmcmX1M0gMKltG53Tn3jJldlX/9Vkl/JqlN0t+bmSTlnHMboypTFOhGVb9c2NW/AQBVE3r5p5EggF1fLjhtb6vLCVK+9a1vnbQdRQDL5IW1QYsqUDuRrgPrnLtX0r1z9t064+ffk/R7UZYhapV0o6qVpHZ7+e53v1tyG2gESa3fSI56ajGLUv7BfNFtH6o1eWGjt/LWk127dmnLli265ZZb6vLBDVANkQawiI8kdHvp6OjQfffdp8nJSS1YsIBJtYC8JNRvIG7e9KY36ZFHHjm+fckll3jPo1qTF9LKWz9uuukmjY2N6cYbb9Rtt91W6+IAJ6nGg3QC2AaU1BaX6Um1pgNYunWjESW1flei0MU0k8noyJEjod6/ZMkSpVKpWftovUY5ixYtmrXd0uJ/aZZqTF7IEnX1Y9euXRoYGJAkDQwMKJ1O0wobY4MjL+gvH/1iyWP2jx6UJK1aVrrODY68oA1q9VY233w/SCeARWIwqRaAQtLptJ56/lmpbcbFfWxUyt/4lzPqJjV0YN+JHdlhzyVEElVjWEs1lvOL4xJ1SR1KcdNNN83aphU2vsI+eBjfPSRJajm3dHC6Qa118zCjUH2aHoZw3XXXebk/J4BFojCpFoCC2lrV/L6CS43PW+6u73hJB8lWjWEt1VjOLylL1LW0tOjQoUOamJjQwoULa12cUzLd+lpsG/HRKHMBTPM9DIEAFokSx0m10DiS2ioA4GTVGNZSjZ5H1Wjl9a3QZ+dnP/tZbd++XevXr49lAC5Ja9eunRW0rl27toalaSxcv09dFMMQmjyVDQBwChYvXswkS0ACTQeXZhbpsJauri5dfPHFkfU86urqUlNTcLsYVStv1ObeQB88eLDWRTol11xzzazta6+9tkYlgcT1O6xCwxAqRQssgIrxZDKcRj1voFFVY1hL1D2PkjC/RBzH8RayYcOG462wa9eurZsxj42A6/epi2IYAgEsIkFAA55K1g/WDQRqIynDWuI+v0RSxvFKQSvsli1baH1FbHR0dGj79u1yzsnMvAxDIIBF1RDQJBcPIOob6wai3vHQs77FPRCP4zjeYjZs2KCvfe1rtS4GdGJm3euvvz6WPROq5fLLL9c999wjSXLO6d3vfnfFaRLAIhLcXAD1gXUDEVc89IQv1ZitGY3H98y6SXXffffJzI63wG7fvp0uxACA4lg3EHHAQ09EKQnjeFFfophZN6n6+/vlnJMUtMD66MLPLMQAkGCsGwgA0c/WjMYSxcy6SdXR0aHm5qDN1FcXfgJYAEiwuesEsm4gAACVKTQxGAqLYikuAlgASDDWDQSA2eMV4yybzWrz5s2xXcs2KaJoVUyqKNbEJoAFgASbXjdQEusGAmhIc8crxjn4S0ogHndRtComme8u/EziBAAJ1+jrBmYyGWlkWLm7vuMnweywMhPmJy0AkSs0XjGOs8YycVD9YGKw+fG9FBctsACQcNPrBtL6CqARJWW8IhMH1RcmBqsdWmABAImWSqU0tNCp+X1v8ZJe7q7vKNWe8pIWgOh1dHTo/vvvVy6Xi/V4xUKBeBxbkpPCd6siwqMFFgAAAImVlPGKTBwEBAhgAQAAkFhRzIJaC0kJxIFKEcACAAAg0ZIwXjEpgThQKcbAAgBqKpgl+JByd+7wk2D2kDITGT9pAUiEpIxX7Orq0sDAQKwDcaBStMACACqWzWa1efPmWK+vCAD1bjoQp/UVjYwWWABAxXp7e7Vz585TWl8xlUppaOTl8gcOjwXfW5eWOdCUSs2ZJTgbYh3Y4dF8+stKH5cdltpXlykDACnoYTEyMqrH7tzqJb2R7IAyE2XqKIBEI4AFgBrKZrPaunWrrr/++tg+Uc9ms+rr65NzTn19fdq0adO8ziXs+rS7R3ZLkta3ryl9YPvsNOeffpngtH01a+oCALzq6elROp2etW/37uC6tGXLlln7161bp+7u7qqVrd4QwAJADVXSclkvent7NTU1JUmampqa97mEvQhPX8BvvvnmeZUv6vSBYpLwgKpSqVRKUwvH9YYrrvOS3mN3blWqvcVLWkC9W7x4ca2LUJcIYAGgRiptuawX/f39yuVykqRcLqf+/v7YBuOAT0l4QAWgOhq5RXW+mMQJAGqkUMtlHHV0dKi5OXge2tzcrI6OjhqXCKi9uQ+omOAMAPygBRYAaiQpLZddXV3q6+uTJDU1NbG8A6DKu9YnyUh2sOwkTqPD+yVJy1pXlU1L7Ru8lQ1A/BDAAkCNdHR06P7771cul4t1y2VbW5s6Ozu1fft2dXZ2xrIbNOBbUh5QVSr8JGrjkqRzy41vbd/AJGpAgyOABYAaSVLLZVdXlwYGBmJ9DoBPSXlAVSkmUQPgGwEsANRIklou29ratG3bNm/psZwA4i5JD6gAoJ4wiRMA1FBXV5cuvvhibm5DWLx4MUsKIDamH1CZWewfUAFAPTHnXK3LMC8bN250O3bsqHUxAAAxVqqFd/369bP208KLU8U6sIVR/wCUY2ZPOOc2FnqNLsQAAIgF4+Gf7671SUb9AxAWLbAAAAAAgLpRqgWWMbAAAAAAgFgggAUAAAAAxAIBLAAAAAAgFghgAQAAAACxQAALzEM2m9XmzZt18ODBWhcFAAAAaDgEsMA89Pb2aufOnbrjjjtqXRQAAACg4RDAAiFls1n19fXJOae+vj5aYQEAAIAqI4AFQurt7dXU1JQkaWpqilZYAAAAoMoIYIGQ+vv7lcvlJEm5XE79/f01LhEAAADQWAhggZA6OjrU3NwsSWpublZHR0eNSwQAAAA0FgJYIKSuri6ZmSTJzLRp06YalwgAAABoLASwQEhtbW1avHixJGnJkiVasWJFjUsEAAAANBYCWCCkbDarQ4cOSZJGRkaYhRgAAACoMgJYIKQ//dM/LbkNAAAAIFqRBrBm9k4z+5GZ7TKzawu8bmb2v/KvP2Vmr42yPEAldu/ePWt7165dNSoJAAAA0JgiC2DNbIGkz0m6XNKrJP22mb1qzmGXS7ow/3WlpJ6oygMAAAAAiLfmCNN+vaRdzrm0JJnZlyRdIenZGcdcIel/O+ecpEfN7AwzO8c59/MIywWcpKenRw8++OCsfWNjYwr+NYt7xzveISmYlXjp0qWzXrvsssvU3d3tt6AAAABAA4uyC/FqSXtmbO/N75vvMQAAAAAARNoCawX2zW3OCnOMzOxKBV2MtWbNmspLBszR3d1dtrV0urV1pgceeCCqIgEAAACYI8oW2L2Szpuxfa6kzCkcI+fcbc65jc65je3t7d4LCgAAAACof1EGsI9LutDMLjCzFknvl3TXnGPukvS7+dmI3yhpmPGvqFdzW1tpfQUAAACqK7IuxM65nJl9TNIDkhZIut0594yZXZV//VZJ90p6l6RdksYkfSiq8gAAAAAA4s3KzbJabzZu3Oh27NhR62IAAAAAACJgZk845zYWei3KLsQAAAAAAHhDAAsAAAAAiAUCWAAAAABALBDAAgAAAABigQAWAAAAABALBLAAAAAAgFgggAUAAAAAxELs1oE1swOSBub5tpWShiIoTrXSJ4/6yiMJ50Ae9ZM+edRXHkk4B/Kon/TJo77ySMI5kEf9pE8e0eax1jnXXuiF2AWwp8LMdhRbCDcO6ZNHfeWRhHMgj/pJnzzqK48knAN51E/65FFfeSThHMijftInj9rlQRdiAAAAAEAsEMACAAAAAGKhUQLY22KePnnUVx5JOAfyqJ/0yaO+8kjCOZBH/aRPHvWVRxLOgTzqJ33yqFEeDTEGFgAAAAAQf43SAgsAAAAAiLlEB7Bm9k4z+5GZ7TKzayNI/3Yze9HMdvpOe0Ye55nZt8zsOTN7xsw+HkEei83s383syXwen/KdRz6fBWb2AzO7J6L0f2ZmT5vZD81sR0R5nGFmXzGz5/N/kzd5Tv8V+fJPf42Y2Sc85/GH+b/zTjP7ZzNb7DP9fB4fz6f/jK/yF6pvZrbCzB40s5/kv58ZQR6/mT+PKTOrePa8InncnP+fesrMvmZmZ0SQx1/k0/+hmfWZWcp3HjNe22xmzsxW+kzfzP7czPbNqB/vOtX0i+WR3391/trxjJnd5DsPM/u/M87hZ2b2wwjyeI2ZPTr9eWhmr48gj180s+/lP3fvNrPTK0i/4LXOZx0vkYe3Ol4iDy91vET63up3sTxmvO6jfhc7D291vNR5+KrjJc7DSx0vkb63+l0iD5/1u+B9puf6XSwPn/W7WB6+6nex9H3W75L3/J7qd7Hz8HcNd84l8kvSAkm7Ja2T1CLpSUmv8pzHpZJeK2lnhOdxjqTX5n8+TdKPIzgPk7Q8//NCSY9JemME5/JHknol3RPR7+pnklZG/H/1j5J+L/9zi6QzIsxrgaQXFKyD5SvN1ZJ+KmlJfvvLkv6L53JfLGmnpKWSmiV9Q9KFHtI9qb5JuknStfmfr5X0VxHk8UpJr5D0bUkbIzqPTknN+Z//KqLzOH3Gz38g6VbfeeT3nyfpAQXrdZ9yfSxyDn8uabPH/9VCefxq/n92UX77rCh+TzNev0XSn0VwHn2SLs///C5J344gj8clvS3/84cl/UUF6Re81vms4yXy8FbHS+ThpY6XSN9b/S6WR37bV/0udh7e6niJPLzV8VK/qxnHnHIdL3EO3up3iTx81u+C95me63exPHzW72J5+KrfxdL3Wb+L3vN7rN/FzsNb/U5yC+zrJe1yzqWdc+OSviTpCp8ZOOcelnTQZ5oF8vi5c+77+Z8PSXpOQRDiMw/nnDuc31yY//I6ONrMzpX0bkmf95luNeWfPl4q6QuS5Jwbd869HGGWb5e02zk34DndZklLzKxZQZCZ8Zz+KyU96pwbc87lJD0k6dcrTbRIfbtCwUMF5b//mu88nHPPOed+VEm6IfLoy/+uJOlRSedGkMfIjM1lqrCOl/j8+2tJ10SYvjdF8uiWdKNz7lj+mBcjyEOSZGYm6bck/XMEeThJ0y0mraqwnhfJ4xWSHs7//KCk/6+C9Itd67zV8WJ5+KzjJfLwUsdLpO+tfpe57/BVv6txb1MsD291vNx5VFrHS6TvrX6XyMNn/S52n+mzfhfMw3P9LpaHr/pdLH2f9bvUPb+v+h15XJHkAHa1pD0ztvfK84djtZnZ+ZJ+ScGTDN9pL8h3cXlR0oPOOd95/I2CSjHlOd2ZnKQ+M3vCzK6MIP11kg5I+qIFXaE/b2bLIshn2vtV4Y3tXM65fZK2SRqU9HNJw865Pp95KGh9vdTM2sxsqYKnw+d5zmPaKufcz6XgIizprIjyqaYPS7ovioTN7DNmtkfSJkl/FkH675O0zzn3pO+0Z/hYvivV7ZV0NyvhIklvNbPHzOwhM3tdBHlMe6uk/c65n0SQ9ick3Zz/e2+TdF0EeeyU9L78z78pT/V8zrUukjoe5fU0RB5e6vjc9KOo3zPziKp+F/g9ea/jc/KIpI4X+Xt7q+Nz0o+kfs/Jw2v9LnKf6bV+V+FeNkweFdXvYun7rN+F8vBdv0v8nrzU7yQHsFZgX2ynXDaz5ZL+VdIn5jyJ8cI5N+mce42Cp0avN7OLfaVtZu+R9KJz7glfaRbxZufcayVdLumjZnap5/SbFXSh63HO/ZKkUQVdXrwzsxYFF45/8ZzumQqeeF4gKSVpmZl9wGcezrnnFHSheVDS/Qq67+dKvgmSJDO7QcHv6o4o0nfO3eCcOy+f/sd8pp1/WHGDIgiMZ+iRtF7SaxQ8gLklgjyaJZ2poLvTFklfzreiROG35fkh1Qzdkv4w//f+Q+V7jnj2YQWftU8o6Ho4XmmCUV/rap2HrzpeKH3f9XtmHgrK7L1+FzgP73W8QB7e63iJ/ykvdbxA+t7rd4E8vNbvKO8z6yUPH/W7WPo+63eBPF4tz/W7yHl4q99JDmD3avbTonPlv6tkVZjZQgUfKnc4574aZV4u6BL7bUnv9JjsmyW9z8x+pqArd4eZ/R+P6UuSnHOZ/PcXJX1NQTdyn/ZK2jvjKdJXFAS0Ubhc0vedc/s9p/sfJf3UOXfAOTch6auSLvGch5xzX3DOvdY5d6mCbodRtDBJ0n4zO0eS8t8r6u5ZS2b2QUnvkbTJORf1w7ZeVdAdrIj1Ch6MPJmv6+dK+r6Zne0rA+fc/vxFcUrS/y//dVwK6vlX812g/l1Br5FTnsyimHwX/t+Q9H99p533QQX1WwoehHn/XTnnnnfOdTrnflnBTfruStIrcq3zWsercT0tloevOh7iHCqu3wXy8F6/C52H7zpe5HfltY6X+Ht7qeNF0vdav4v8LbzW72lz7jMjuYZHdC9bMg/f1/AS5+Dt+j0jj+mGDe/X75nn4bN+JzmAfVzShWZ2Qb416/2S7qpxmeYt/1TwC5Kec879z4jyaLf8jGlmtkRBkPO8r/Sdc9c55851zp2v4O/Q75zz2upnZsvM7LTpnxUMqPc6O7Rz7gVJe8zsFfldb5f0rM88ZoiqZWZQ0hvNbGn+f+vtCsa7eGVmZ+W/r1FwAY+qlekuBRdy5b/fGVE+kTKzd0r6pKT3OefGIsrjwhmb75PHOi5JzrmnnXNnOefOz9f1vQomBnnBVx7TNzp5vy7PdTzv65I68vldpGCytqEI8vmPkp53zu2NIG0peGD7tvzPHYrgIdKMet4k6U8k3VpBWsWudd7qeJWupwXz8FXHS6TvrX4XysN3/S5xHt7qeIm/t7c6XuZ/quI6XiJ9b/W7xN/CZ/0udp/ps35Hei9bKg+P9btY+j7rd6E8fuC5fhc7D3/XcOdhJqh6/VIw9u7HCp4a3RBB+v+soAl8QsEf+yMR5PEWBV2fn5L0w/zXuzzn8WpJP8jnsVMVzohZJq9fUQSzECsYn/pk/uuZKP7e+XxeI2lH/nf1dUlnRpDHUklZSa0RncOnFHz47ZT0T8rPxOg5j0cUBPdPSnq7pzRPqm+S2iR9U8HF+5uSVkSQx6/nfz4mab+kByLIY5eCMfvTdbzSGYIL5fGv+b/5U5LuVjDxi9c85rz+M1U2i2Ghc/gnSU/nz+EuSedE8HtqkfR/8r+r70vqiOL3JOkfJF0VYd14i6Qn8nXwMUm/HEEeH1dwjf2xpBslWQXpF7zW+azjJfLwVsdL5OGljpdI31v9LpbHnGMqrd/FzsNbHS+Rh7c6Xup35aOOlzgHb/W7RB4+63fB+0zP9btYHj7rd7E8fNXvYun7rN9l7/k91O9i5+Gtfls+QQAAAAAA6lqSuxADAAAAABKEABYAAAAAEAsEsAAAAACAWCCABQAAAADEAgEsAAAAACAWCGABAKgyM/tzM9t8Cu87w8x+P4oyAQAQBwSwAADExxmS5hXAWoDrPQAgEbigAQAQMTP7XTN7ysyeNLN/mvPat81sY/7nlWb2s/zPv2Bm/25mP8y/90JJN0pan993c/64LWb2eP6YT+X3nW9mz5nZ30v6vqTzqni6AABEprnWBQAAIMnM7Bck3SDpzc65ITNbIekPQrz1Kkl/65y7w8xaJC2QdK2ki51zr8mn3SnpQkmvl2SS7jKzSyUNSnqFpA855+hyDABIDAJYAACi1SHpK865IUlyzh00szDv+56kG8zsXElfdc79pMD7OvNfP8hvL1cQ0A5KGnDOPeqh/AAA1A26EAMAEC2T5Eq8ntOJ6/Hi6Z3OuV5J75N0RNIDZtZRJO2tzrnX5L82OOe+kH9ttPKiAwBQXwhgAQCI1jcl/ZaZtUlSvgvxTD+T9Mv5n//T9E4zWycp7Zz7X5LukvRqSYcknTbjvQ9I+rCZLc+/Z7WZnRXFSQAAUA/oQgwAQIScc8+Y2WckPWRmkwq6+/5sxiHbJH3ZzH5HUv+M/f9Z0gfMbELSC5L+R7778b+Z2U5J9znntpjZKyV9L9+9+LCkD0iajPzEAACoAXOuVK8mAAAAAADqA12IAQAAAACxQAALAAAAAIgFAlgAAAAAQCwQwAIAAAAAYoEAFgAAAAAQCwSwAAAAAIBYIIAFAAAAAMQCASwAAAAAIBb+H+1pmcGiG3xlAAAAAElFTkSuQmCC\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# We will look at the centers coefficients to see if there is a pattern across clusters. In this case there is none.\n",
"\n",
"import seaborn as sns\n",
"from matplotlib import pyplot as plt\n",
"\n",
"fig = plt.figure(figsize=(16,5))\n",
"ax = fig.add_subplot(111)\n",
"\n",
"\n",
"sns.boxplot(x='cluster',y='coefficient',data=df_centers, ax=ax)"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 321
},
"colab_type": "code",
"id": "y3bXQlwslmp3",
"outputId": "433c631f-72a6-44cf-94f9-9dabf68a8d9b",
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"found \" telemedicine \" in cluster 6 tweet number 433 : \n",
"\" watch vice president pence on american insurance companies committing to waive copays cover coronavirus treatment costs ensure no surprise billing and encourage telemedicine \"\n",
"\n",
"\n"
]
}
],
"source": [
"search_word = 'telemedicine'\n",
"for K in range(k):\n",
" tweets = data['Tweet'][k_attempts[k-2].labels_== K]\n",
" for i in range(len(tweets)):\n",
" tweet = tweets.iloc[i].strip()\n",
" tweet_words = [w.strip() for w in tweet.split()]\n",
" if search_word in tweet_words:\n",
" print('found \"',search_word, '\" in cluster', K, 'tweet number', i, ': \\n\"', tweet, '\"\\n\\n')\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "xgiiru41tD6o"
},
"source": [
"We can thus see that telemedicine is connected with cost which is a factor to be taken into account. The file data.csv is a subset of the covid-19_tweets.csv file from the covid-19 tweets dataset. When the full tweets file is utilized, there are multiple clusters with the word telemedicine associated with cost related terms."
]
}
],
"metadata": {
"colab": {
"collapsed_sections": [],
"name": "Unsupervised Learning Covid_19.ipynb",
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.1"
}
},
"nbformat": 4,
"nbformat_minor": 1
}