{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<H1 align=\"center\"> Análisis del usuario @jguaido <br> <br> Twitter y herramientas de BigData para explorar datos </center></H1> <br> <br><br> \n",
    "\n",
    "<center> Roque Leal </center> \n",
    "<center>DataScience </center> <br> "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Resumen\n",
    "\n",
    "El presente Jupyter Notebook  correponde a una exploración de los datos en la red social Twitter asociados al usuario [@jguaido](https://twitter.com/jguaido?lang=es), desde el 07 de abril hasta el presente 30 de mayo del 2019, se realiza el informe como una aproximación científica de diferentes métodos para colectar y analizar datos en Twitter basado en las herramientas disponibles de Python."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tweepy           # Para consumir la API de Twitter\n",
    "import pandas as pd     # Para manejo de datos\n",
    "import numpy as np      # Para operaciones numéricas\n",
    "\n",
    "# Para ploteo y visualización:\n",
    "import seaborn as sns\n",
    "from IPython.display import display\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from credentials import *\n",
    "def twitter_config():\n",
    "\n",
    "    # Autenticar y acceder usando llaves:\n",
    "    auth = tweepy.OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET)\n",
    "    auth.set_access_token(ACCESS_TOKEN, ACCESS_SECRET)\n",
    "\n",
    "    # Regresar acceso al API:\n",
    "    api = tweepy.API(auth)\n",
    "    return api"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tweets obtenidos: 200.\n",
      "\n",
      "Los primeros 5 tweets:\n",
      "\n",
      "Pueblo de Venezuela, es necesario que salgamos juntos a la calle, a respaldar a las fuerzas democráticas y a recupe… https://t.co/hyxa4yoJ5P\n",
      "\n",
      "Fuerza Armada Nacional han tomado la decisión correcta, cuentan con el apoyo del pueblo de Venezuela, con el aval d… https://t.co/6ii0CHR0Um\n",
      "\n",
      "Pueblo de Venezuela vamos a la calle, Fuerza Armada Nacional a continuar el despliegue hasta que consolidemos el fi… https://t.co/zE3H3YvWYC\n",
      "\n",
      "Pueblo de Venezuela inició el fin de la usurpación. En este momento me encuentro con las principales unidades milit… https://t.co/azAjjUwLST\n",
      "\n",
      "En el marco de nuestra constitución. Y por el cese definitivo de la usurpación. https://t.co/3RD2bnQhxt\n",
      "\n"
     ]
    }
   ],
   "source": [
    "extractor = twitter_config()\n",
    "\n",
    "# Creamos una lista de tweets:\n",
    "tweets = extractor.user_timeline(screen_name=\"jguaido\", count=20000)\n",
    "print(\"Tweets obtenidos: {}.\\n\".format(len(tweets)))\n",
    "\n",
    "# Imprimimos los primeros 5 tweets:\n",
    "print(\"Los primeros 5 tweets:\\n\")\n",
    "for tweet in tweets[:5]:\n",
    "    print(tweet.text)\n",
    "    print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Tweets</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <td>Pueblo de Venezuela inició el fin de la usurpa...</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>En el marco de nuestra constitución. Y por el ...</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Este #1M demostremos que estamos más fuertes, ...</td>\n",
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       "      <td>Mientras tanto, quien de forma cobarde trata d...</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>¡Vamos pa'lante! \\n\\nEl viernes estuvimos orga...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>RT @Presidencia_VE: ✔️CARACAS\\nEste #1M inicia...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Lo único que tiene para ofrecer este régimen e...</td>\n",
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      "text/plain": [
       "                                              Tweets\n",
       "0  Pueblo de Venezuela, es necesario que salgamos...\n",
       "1  Fuerza Armada Nacional han tomado la decisión ...\n",
       "2  Pueblo de Venezuela vamos a la calle, Fuerza A...\n",
       "3  Pueblo de Venezuela inició el fin de la usurpa...\n",
       "4  En el marco de nuestra constitución. Y por el ...\n",
       "5  Este #1M demostremos que estamos más fuertes, ...\n",
       "6  Mientras tanto, quien de forma cobarde trata d...\n",
       "7  ¡Vamos pa'lante! \\n\\nEl viernes estuvimos orga...\n",
       "8  RT @Presidencia_VE: ✔️CARACAS\\nEste #1M inicia...\n",
       "9  Lo único que tiene para ofrecer este régimen e..."
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "datos = pd.DataFrame(data=[tweet.text for tweet in tweets], columns=['Tweets'])\n",
    "display(datos.head(10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Añadimos datos relevantes:\n",
    "datos['len'] = np.array([len(tweet.text) for tweet in tweets])\n",
    "datos['ID']  = np.array([tweet.id for tweet in tweets])\n",
    "datos['Creado'] = np.array([tweet.created_at for tweet in tweets])\n",
    "datos['Fuente'] = np.array([tweet.source for tweet in tweets])\n",
    "datos['Likes']  = np.array([tweet.favorite_count for tweet in tweets])\n",
    "datos['RTs']    = np.array([tweet.retweet_count for tweet in tweets])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Tweets</th>\n",
       "      <th>len</th>\n",
       "      <th>ID</th>\n",
       "      <th>Creado</th>\n",
       "      <th>Fuente</th>\n",
       "      <th>Likes</th>\n",
       "      <th>RTs</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Pueblo de Venezuela, es necesario que salgamos...</td>\n",
       "      <td>140</td>\n",
       "      <td>1123164653704577024</td>\n",
       "      <td>2019-04-30 09:58:15</td>\n",
       "      <td>Twitter for Android</td>\n",
       "      <td>35170</td>\n",
       "      <td>25533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Fuerza Armada Nacional han tomado la decisión ...</td>\n",
       "      <td>140</td>\n",
       "      <td>1123164650575671296</td>\n",
       "      <td>2019-04-30 09:58:14</td>\n",
       "      <td>Twitter for Android</td>\n",
       "      <td>32167</td>\n",
       "      <td>20738</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Pueblo de Venezuela vamos a la calle, Fuerza A...</td>\n",
       "      <td>140</td>\n",
       "      <td>1123164648092655616</td>\n",
       "      <td>2019-04-30 09:58:14</td>\n",
       "      <td>Twitter for Android</td>\n",
       "      <td>12891</td>\n",
       "      <td>8831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Pueblo de Venezuela inició el fin de la usurpa...</td>\n",
       "      <td>140</td>\n",
       "      <td>1123164645739642880</td>\n",
       "      <td>2019-04-30 09:58:13</td>\n",
       "      <td>Twitter for Android</td>\n",
       "      <td>76766</td>\n",
       "      <td>48876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>En el marco de nuestra constitución. Y por el ...</td>\n",
       "      <td>103</td>\n",
       "      <td>1123161692219686912</td>\n",
       "      <td>2019-04-30 09:46:29</td>\n",
       "      <td>Periscope</td>\n",
       "      <td>30732</td>\n",
       "      <td>26001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Este #1M demostremos que estamos más fuertes, ...</td>\n",
       "      <td>140</td>\n",
       "      <td>1122997070573592576</td>\n",
       "      <td>2019-04-29 22:52:20</td>\n",
       "      <td>Twitter for Android</td>\n",
       "      <td>6855</td>\n",
       "      <td>3362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Mientras tanto, quien de forma cobarde trata d...</td>\n",
       "      <td>140</td>\n",
       "      <td>1122997069269078016</td>\n",
       "      <td>2019-04-29 22:52:20</td>\n",
       "      <td>Twitter for Android</td>\n",
       "      <td>7146</td>\n",
       "      <td>3303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>¡Vamos pa'lante! \\n\\nEl viernes estuvimos orga...</td>\n",
       "      <td>139</td>\n",
       "      <td>1122997065712316418</td>\n",
       "      <td>2019-04-29 22:52:19</td>\n",
       "      <td>Twitter for Android</td>\n",
       "      <td>9671</td>\n",
       "      <td>4076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>RT @Presidencia_VE: ✔️CARACAS\\nEste #1M inicia...</td>\n",
       "      <td>140</td>\n",
       "      <td>1122989384071024641</td>\n",
       "      <td>2019-04-29 22:21:47</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>0</td>\n",
       "      <td>4249</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Lo único que tiene para ofrecer este régimen e...</td>\n",
       "      <td>140</td>\n",
       "      <td>1122965455738744832</td>\n",
       "      <td>2019-04-29 20:46:42</td>\n",
       "      <td>Twitter for Android</td>\n",
       "      <td>12773</td>\n",
       "      <td>6838</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "                                              Tweets  len  \\\n",
       "0  Pueblo de Venezuela, es necesario que salgamos...  140   \n",
       "1  Fuerza Armada Nacional han tomado la decisión ...  140   \n",
       "2  Pueblo de Venezuela vamos a la calle, Fuerza A...  140   \n",
       "3  Pueblo de Venezuela inició el fin de la usurpa...  140   \n",
       "4  En el marco de nuestra constitución. Y por el ...  103   \n",
       "5  Este #1M demostremos que estamos más fuertes, ...  140   \n",
       "6  Mientras tanto, quien de forma cobarde trata d...  140   \n",
       "7  ¡Vamos pa'lante! \\n\\nEl viernes estuvimos orga...  139   \n",
       "8  RT @Presidencia_VE: ✔️CARACAS\\nEste #1M inicia...  140   \n",
       "9  Lo único que tiene para ofrecer este régimen e...  140   \n",
       "\n",
       "                    ID              Creado               Fuente  Likes    RTs  \n",
       "0  1123164653704577024 2019-04-30 09:58:15  Twitter for Android  35170  25533  \n",
       "1  1123164650575671296 2019-04-30 09:58:14  Twitter for Android  32167  20738  \n",
       "2  1123164648092655616 2019-04-30 09:58:14  Twitter for Android  12891   8831  \n",
       "3  1123164645739642880 2019-04-30 09:58:13  Twitter for Android  76766  48876  \n",
       "4  1123161692219686912 2019-04-30 09:46:29            Periscope  30732  26001  \n",
       "5  1122997070573592576 2019-04-29 22:52:20  Twitter for Android   6855   3362  \n",
       "6  1122997069269078016 2019-04-29 22:52:20  Twitter for Android   7146   3303  \n",
       "7  1122997065712316418 2019-04-29 22:52:19  Twitter for Android   9671   4076  \n",
       "8  1122989384071024641 2019-04-29 22:21:47   Twitter for iPhone      0   4249  \n",
       "9  1122965455738744832 2019-04-29 20:46:42  Twitter for Android  12773   6838  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(datos.head(10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "El promedio de caracteres en tweets: 132.64\n",
      "El tweet con más likes es: \n",
      "Pueblo de Venezuela inició el fin de la usurpación. En este momento me encuentro con las principales unidades milit… https://t.co/azAjjUwLST\n",
      "Número de likes: 76766\n",
      "140 caracteres.\n",
      "\n",
      "El tweet con más retweets es: \n",
      "Pueblo de Venezuela inició el fin de la usurpación. En este momento me encuentro con las principales unidades milit… https://t.co/azAjjUwLST\n",
      "Número de retweets: 48876\n",
      "140 caracteres.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Extraemos el promedio:\n",
    "media = np.mean(datos['len'])\n",
    "\n",
    "print(\"El promedio de caracteres en tweets: {}\".format(media))\n",
    "\n",
    "# Extraemos el tweet con más FAVs y con más RTs:\n",
    "fav_max = np.max(datos['Likes'])\n",
    "rt_max  = np.max(datos['RTs'])\n",
    "\n",
    "fav = datos[datos.Likes == fav_max].index[0]\n",
    "rt  = datos[datos.RTs == rt_max].index[0]\n",
    "\n",
    "# Max FAVs:\n",
    "print(\"El tweet con más likes es: \\n{}\".format(datos['Tweets'][fav]))\n",
    "print(\"Número de likes: {}\".format(fav_max))\n",
    "print(\"{} caracteres.\\n\".format(datos['len'][fav]))\n",
    "\n",
    "# Max RTs:\n",
    "print(\"El tweet con más retweets es: \\n{}\".format(datos['Tweets'][rt]))\n",
    "print(\"Número de retweets: {}\".format(rt_max))\n",
    "print(\"{} caracteres.\\n\".format(datos['len'][rt]))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Creamos series de tiempo para datos:\n",
    "tlen = pd.Series(data=datos['len'].values, index=datos['Creado'])\n",
    "tfav = pd.Series(data=datos['Likes'].values, index=datos['Creado'])\n",
    "tret = pd.Series(data=datos['RTs'].values, index=datos['Creado'])\n",
    "tlen.plot(figsize=(16,4), color='r');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1152x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualización de likes vs retweets:\n",
    "tfav.plot(figsize=(16,4), label=\"Likes\", legend=True)\n",
    "tret.plot(figsize=(16,4), label=\"Retweets\", legend=True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fuentes = []\n",
    "for fuente in datos['Fuente']:\n",
    "    if fuente not in fuentes:\n",
    "        fuentes.append(fuente)\n",
    "percent = np.zeros(len(fuentes))\n",
    "\n",
    "for fuente in datos['Fuente']:\n",
    "    for index in range(len(fuentes)):\n",
    "        if fuente == fuentes[index]:\n",
    "            percent[index] += 1\n",
    "            pass\n",
    "\n",
    "percent /= 100\n",
    "\n",
    "# Pie chart:\n",
    "pie_chart = pd.Series(percent, index=fuentes, name='Fuentes')\n",
    "pie_chart.plot.pie(fontsize=11, autopct='%.2f', figsize=(6, 6));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Tweets</th>\n",
       "      <th>len</th>\n",
       "      <th>ID</th>\n",
       "      <th>Creado</th>\n",
       "      <th>Fuente</th>\n",
       "      <th>Likes</th>\n",
       "      <th>RTs</th>\n",
       "      <th>AdS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Pueblo de Venezuela, es necesario que salgamos...</td>\n",
       "      <td>140</td>\n",
       "      <td>1123164653704577024</td>\n",
       "      <td>2019-04-30 09:58:15</td>\n",
       "      <td>Twitter for Android</td>\n",
       "      <td>35170</td>\n",
       "      <td>25533</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Fuerza Armada Nacional han tomado la decisión ...</td>\n",
       "      <td>140</td>\n",
       "      <td>1123164650575671296</td>\n",
       "      <td>2019-04-30 09:58:14</td>\n",
       "      <td>Twitter for Android</td>\n",
       "      <td>32167</td>\n",
       "      <td>20738</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Pueblo de Venezuela vamos a la calle, Fuerza A...</td>\n",
       "      <td>140</td>\n",
       "      <td>1123164648092655616</td>\n",
       "      <td>2019-04-30 09:58:14</td>\n",
       "      <td>Twitter for Android</td>\n",
       "      <td>12891</td>\n",
       "      <td>8831</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Pueblo de Venezuela inició el fin de la usurpa...</td>\n",
       "      <td>140</td>\n",
       "      <td>1123164645739642880</td>\n",
       "      <td>2019-04-30 09:58:13</td>\n",
       "      <td>Twitter for Android</td>\n",
       "      <td>76766</td>\n",
       "      <td>48876</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>En el marco de nuestra constitución. Y por el ...</td>\n",
       "      <td>103</td>\n",
       "      <td>1123161692219686912</td>\n",
       "      <td>2019-04-30 09:46:29</td>\n",
       "      <td>Periscope</td>\n",
       "      <td>30732</td>\n",
       "      <td>26001</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Este #1M demostremos que estamos más fuertes, ...</td>\n",
       "      <td>140</td>\n",
       "      <td>1122997070573592576</td>\n",
       "      <td>2019-04-29 22:52:20</td>\n",
       "      <td>Twitter for Android</td>\n",
       "      <td>6855</td>\n",
       "      <td>3362</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Mientras tanto, quien de forma cobarde trata d...</td>\n",
       "      <td>140</td>\n",
       "      <td>1122997069269078016</td>\n",
       "      <td>2019-04-29 22:52:20</td>\n",
       "      <td>Twitter for Android</td>\n",
       "      <td>7146</td>\n",
       "      <td>3303</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>¡Vamos pa'lante! \\n\\nEl viernes estuvimos orga...</td>\n",
       "      <td>139</td>\n",
       "      <td>1122997065712316418</td>\n",
       "      <td>2019-04-29 22:52:19</td>\n",
       "      <td>Twitter for Android</td>\n",
       "      <td>9671</td>\n",
       "      <td>4076</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>RT @Presidencia_VE: ✔️CARACAS\\nEste #1M inicia...</td>\n",
       "      <td>140</td>\n",
       "      <td>1122989384071024641</td>\n",
       "      <td>2019-04-29 22:21:47</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>0</td>\n",
       "      <td>4249</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Lo único que tiene para ofrecer este régimen e...</td>\n",
       "      <td>140</td>\n",
       "      <td>1122965455738744832</td>\n",
       "      <td>2019-04-29 20:46:42</td>\n",
       "      <td>Twitter for Android</td>\n",
       "      <td>12773</td>\n",
       "      <td>6838</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              Tweets  len  \\\n",
       "0  Pueblo de Venezuela, es necesario que salgamos...  140   \n",
       "1  Fuerza Armada Nacional han tomado la decisión ...  140   \n",
       "2  Pueblo de Venezuela vamos a la calle, Fuerza A...  140   \n",
       "3  Pueblo de Venezuela inició el fin de la usurpa...  140   \n",
       "4  En el marco de nuestra constitución. Y por el ...  103   \n",
       "5  Este #1M demostremos que estamos más fuertes, ...  140   \n",
       "6  Mientras tanto, quien de forma cobarde trata d...  140   \n",
       "7  ¡Vamos pa'lante! \\n\\nEl viernes estuvimos orga...  139   \n",
       "8  RT @Presidencia_VE: ✔️CARACAS\\nEste #1M inicia...  140   \n",
       "9  Lo único que tiene para ofrecer este régimen e...  140   \n",
       "\n",
       "                    ID              Creado               Fuente  Likes    RTs  \\\n",
       "0  1123164653704577024 2019-04-30 09:58:15  Twitter for Android  35170  25533   \n",
       "1  1123164650575671296 2019-04-30 09:58:14  Twitter for Android  32167  20738   \n",
       "2  1123164648092655616 2019-04-30 09:58:14  Twitter for Android  12891   8831   \n",
       "3  1123164645739642880 2019-04-30 09:58:13  Twitter for Android  76766  48876   \n",
       "4  1123161692219686912 2019-04-30 09:46:29            Periscope  30732  26001   \n",
       "5  1122997070573592576 2019-04-29 22:52:20  Twitter for Android   6855   3362   \n",
       "6  1122997069269078016 2019-04-29 22:52:20  Twitter for Android   7146   3303   \n",
       "7  1122997065712316418 2019-04-29 22:52:19  Twitter for Android   9671   4076   \n",
       "8  1122989384071024641 2019-04-29 22:21:47   Twitter for iPhone      0   4249   \n",
       "9  1122965455738744832 2019-04-29 20:46:42  Twitter for Android  12773   6838   \n",
       "\n",
       "   AdS  \n",
       "0    0  \n",
       "1    0  \n",
       "2    0  \n",
       "3    0  \n",
       "4    0  \n",
       "5    0  \n",
       "6    0  \n",
       "7    0  \n",
       "8    0  \n",
       "9    0  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from textblob import TextBlob\n",
    "import re\n",
    "\n",
    "def limpia_tweet(tweet):\n",
    "   \n",
    "    return ' '.join(re.sub(\"(@[A-Za-z0-9]+)|([^0-9A-Za-z \\t])|(\\w+:\\/\\/\\S+)\", \" \", tweet).split())\n",
    "\n",
    "def analiza_sentimiento(tweet):\n",
    "    \n",
    "    analysis = TextBlob(limpia_tweet(tweet))\n",
    "    if analysis.sentiment.polarity > 0:\n",
    "        return 1\n",
    "    elif analysis.sentiment.polarity == 0:\n",
    "        return 0\n",
    "    else:\n",
    "        return -1\n",
    "\n",
    "datos['AdS'] = np.array([ analiza_sentimiento(tweet) for tweet in datos['Tweets'] ])\n",
    "display(datos.head(10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Porcentaje de tweets positivos: 1.5%\n",
      "Porcentaje de tweets neutros: 98.0%\n",
      "Porcentaje de tweets negativos: 0.5%\n"
     ]
    }
   ],
   "source": [
    "tweets_positivos = [ tweet for index, tweet in enumerate(datos['Tweets']) if datos['AdS'][index] > 0]\n",
    "tweets_neutros   = [ tweet for index, tweet in enumerate(datos['Tweets']) if datos['AdS'][index] == 0]\n",
    "tweets_negativos = [ tweet for index, tweet in enumerate(datos['Tweets']) if datos['AdS'][index] < 0]\n",
    "print(\"Porcentaje de tweets positivos: {}%\".format(len(tweets_positivos)*100/len(datos['Tweets'])))\n",
    "print(\"Porcentaje de tweets neutros: {}%\".format(len(tweets_neutros)*100/len(datos['Tweets'])))\n",
    "print(\"Porcentaje de tweets negativos: {}%\".format(len(tweets_negativos)*100/len(datos['Tweets'])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Data to plot\n",
    "labels = 'Positive Tweets', 'Neutral Tweets','Negative Tweets'\n",
    "sizes = [len(tweets_positivos)*100/len(datos['Tweets']), len(tweets_neutros)*100/len(datos['Tweets']), len(tweets_negativos)*100/len(datos['Tweets'])]\n",
    "colors = ['gold', 'blue', 'black']\n",
    "explode = (0.07, 0.07, 0.07)  # explode 1st slice\n",
    " \n",
    "# Plot\n",
    "plt.figure(figsize=(10,6))\n",
    "plt.pie(sizes, explode=explode, labels=labels, colors=colors,\n",
    "        autopct='%1.1f%%', shadow=True, startangle=140)\n",
    "plt.axis('equal')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Comparación\n",
    "\n",
    "En este apartado se hace una comparación de los sentimientos asociados a los usuarios de Twitter  [@jguaido](https://twitter.com/jguaido?lang=es), [@leopoldolopez](https://twitter.com/leopoldolopez?lang=es) y  [@NicolasMaduro](https://twitter.com/NicolasMaduro?lang=es) a manera de conocer los últimos 500 mensajes publicados por estos usuarios y el mensaje que estas cuentas desean transmitir."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tweepy\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline \n",
    "import seaborn as sns \n",
    "sns.set()\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from datetime import datetime\n",
    "import math\n",
    "import json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
    "analyzer = SentimentIntensityAnalyzer()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "from config import (consumer_key, \n",
    "                    consumer_secret, \n",
    "                    access_token, \n",
    "                    access_token_secret)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "auth = tweepy.OAuthHandler(consumer_key, consumer_secret)\n",
    "auth.set_access_token(access_token, access_token_secret)\n",
    "api = tweepy.API(auth, parser=tweepy.parsers.JSONParser())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "target_terms = [\"@jguaido\", \"@leopoldolopez\",\"@NicolasMaduro\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "sentiments = []\n",
    "desired = 500"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Compound</th>\n",
       "      <th>DateTime</th>\n",
       "      <th>Neg</th>\n",
       "      <th>Neu</th>\n",
       "      <th>Pos</th>\n",
       "      <th>Source</th>\n",
       "      <th>Text</th>\n",
       "      <th>Tweets Ago</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:02:12</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@jguaido</td>\n",
       "      <td>RT @jguaido: Pueblo de Venezuela inició el fin...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.2263</td>\n",
       "      <td>2019-04-30 14:02:12</td>\n",
       "      <td>0.921</td>\n",
       "      <td>0.079</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@jguaido</td>\n",
       "      <td>RT @trish_regan: Just in: #Maduro shut down th...</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.4574</td>\n",
       "      <td>2019-04-30 14:02:12</td>\n",
       "      <td>0.857</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.143</td>\n",
       "      <td>@jguaido</td>\n",
       "      <td>RT @CGurisattiNTN24: Atención! Momento en el q...</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:02:12</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@jguaido</td>\n",
       "      <td>RT @VoluntariosxVe: #TodaVenezuelaALaCalle ¡Ll...</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:02:12</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@jguaido</td>\n",
       "      <td>RT @NTN24ve: #URGENTE @jguaido y Leopoldo Lópe...</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:02:12</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@jguaido</td>\n",
       "      <td>RT @joseolivaresm: Reconocimiento Militar al P...</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:02:12</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@jguaido</td>\n",
       "      <td>RT @VP: To @jguaido, the National Assembly and...</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:02:12</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@jguaido</td>\n",
       "      <td>RT @hfsalasromer: Somos mayoría civil y Milita...</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.6666</td>\n",
       "      <td>2019-04-30 14:02:12</td>\n",
       "      <td>0.767</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.233</td>\n",
       "      <td>@jguaido</td>\n",
       "      <td>RT @cafreeland: Watching events today in Venez...</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:02:12</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@jguaido</td>\n",
       "      <td>RT @VP: To @jguaido, the National Assembly and...</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:02:12</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@jguaido</td>\n",
       "      <td>RT @JMoPeriodista: #AHORA Abren las puertas de...</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:02:12</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@jguaido</td>\n",
       "      <td>RT @Gbastidas: Reporte de @JesusBastidasP a la...</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:02:12</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@jguaido</td>\n",
       "      <td>RT @ReporteYa: #30Abr 9:30 am 《Desde La Carlot...</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:02:12</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@jguaido</td>\n",
       "      <td>RT @jguaido: Pueblo de Venezuela inició el fin...</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:02:12</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@jguaido</td>\n",
       "      <td>RT @VP: To @jguaido, the National Assembly and...</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:02:12</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@jguaido</td>\n",
       "      <td>RT @TVVnoticias: #30Abr @VP: A @jguaido, la As...</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:02:11</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@jguaido</td>\n",
       "      <td>@srebolledopozo @CNNChile @jguaido @CNN Shaaaa...</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:02:11</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@jguaido</td>\n",
       "      <td>RT @Gbastidas: Reporte de @JesusBastidasP a la...</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:02:11</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@jguaido</td>\n",
       "      <td>RT @sotiridi: #Update: Just in - More Venezuel...</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:02:11</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@jguaido</td>\n",
       "      <td>RT @AndresPastrana_: La @idc_cdi respalda plen...</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:02:11</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@jguaido</td>\n",
       "      <td>RT @joseolivaresm: Mauro acorralado! Momento d...</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:02:11</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@jguaido</td>\n",
       "      <td>RT @jguaido: Fuerza Armada Nacional han tomado...</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:02:11</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@jguaido</td>\n",
       "      <td>RT @ReporteYa: #30Abr Así se encuentra Caricua...</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.1280</td>\n",
       "      <td>2019-04-30 14:02:11</td>\n",
       "      <td>0.773</td>\n",
       "      <td>0.103</td>\n",
       "      <td>0.124</td>\n",
       "      <td>@jguaido</td>\n",
       "      <td>RT @marcorubio: Rapid fire shots heard in area...</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:02:11</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@jguaido</td>\n",
       "      <td>RT @marcorubio: Video of additional National G...</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:02:11</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@jguaido</td>\n",
       "      <td>RT @jguaido: Pueblo de Venezuela inició el fin...</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:02:11</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@jguaido</td>\n",
       "      <td>RT @vivoplaynet: #30Abr Efectivos de la GNB se...</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:02:11</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@jguaido</td>\n",
       "      <td>RT @WilvisBeaumont: Despertando al pueblo hoy ...</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:02:11</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@jguaido</td>\n",
       "      <td>RT @CancilleriaPeru: Respaldamos plenamente al...</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:02:11</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@jguaido</td>\n",
       "      <td>RT @alcaldeledezma: Viva Venezuela,  la ciudad...</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1470</th>\n",
       "      <td>-0.4466</td>\n",
       "      <td>2019-04-30 14:03:23</td>\n",
       "      <td>0.866</td>\n",
       "      <td>0.134</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@NicolasMaduro</td>\n",
       "      <td>RT @JuanaElenaUCLV: #Venezuela. El pueblo cuba...</td>\n",
       "      <td>471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1471</th>\n",
       "      <td>0.6124</td>\n",
       "      <td>2019-04-30 14:03:41</td>\n",
       "      <td>0.810</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.190</td>\n",
       "      <td>@NicolasMaduro</td>\n",
       "      <td>@evoespueblo @NicolasMaduro Pobre estúpido, ha...</td>\n",
       "      <td>472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1472</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:03:40</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@NicolasMaduro</td>\n",
       "      <td>RT @PatyDorta401: Pronto muy pronto.. #ClaeVen...</td>\n",
       "      <td>473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1473</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:03:40</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@NicolasMaduro</td>\n",
       "      <td>RT @susarsam_olmaz: Guaido fahişesine inat #Tü...</td>\n",
       "      <td>474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1474</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:03:39</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@NicolasMaduro</td>\n",
       "      <td>RT @susarsam_olmaz: Guaido fahişesine inat #Tü...</td>\n",
       "      <td>475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1475</th>\n",
       "      <td>-0.2960</td>\n",
       "      <td>2019-04-30 14:03:39</td>\n",
       "      <td>0.896</td>\n",
       "      <td>0.104</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@NicolasMaduro</td>\n",
       "      <td>RT @freddUrock: Ojalá no mueran @NicolasMaduro...</td>\n",
       "      <td>476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1476</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:03:39</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@NicolasMaduro</td>\n",
       "      <td>RT @DomingoPaniza: ¿A qué hora sale el primer ...</td>\n",
       "      <td>477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1477</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:03:38</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@NicolasMaduro</td>\n",
       "      <td>@lugoluis8 @NicolasMaduro https://t.co/wFvhYqe9Uf</td>\n",
       "      <td>478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1478</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:03:38</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@NicolasMaduro</td>\n",
       "      <td>RT @PanAmPost_es: #ÚltimaHora | Militares que ...</td>\n",
       "      <td>479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1479</th>\n",
       "      <td>0.4696</td>\n",
       "      <td>2019-04-30 14:03:38</td>\n",
       "      <td>0.821</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.179</td>\n",
       "      <td>@NicolasMaduro</td>\n",
       "      <td>@TareckPSUV @NicolasMaduro Tú? El desaparecido...</td>\n",
       "      <td>480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1480</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:03:38</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@NicolasMaduro</td>\n",
       "      <td>RT @evoespueblo: Condenamos enérgicamente el i...</td>\n",
       "      <td>481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1481</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:03:36</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@NicolasMaduro</td>\n",
       "      <td>RT @carlosdmesag: Sostenemos nuestro respaldo ...</td>\n",
       "      <td>482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1482</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:03:36</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@NicolasMaduro</td>\n",
       "      <td>RT @susarsam_olmaz: Guaido fahişesine inat #Tü...</td>\n",
       "      <td>483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1483</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:03:36</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@NicolasMaduro</td>\n",
       "      <td>RT @evoespueblo: Condenamos enérgicamente el i...</td>\n",
       "      <td>484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1484</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:03:35</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@NicolasMaduro</td>\n",
       "      <td>RT @susarsam_olmaz: Guaido fahişesine inat #Tü...</td>\n",
       "      <td>485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1485</th>\n",
       "      <td>-0.7783</td>\n",
       "      <td>2019-04-30 14:03:43</td>\n",
       "      <td>0.702</td>\n",
       "      <td>0.298</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@NicolasMaduro</td>\n",
       "      <td>RT @Freddys69539445: @mnfernandez @jguaido @Ni...</td>\n",
       "      <td>486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1486</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:03:43</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@NicolasMaduro</td>\n",
       "      <td>RT @HJGarciaPlaza: En este momento ordenan la ...</td>\n",
       "      <td>487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1487</th>\n",
       "      <td>-0.2500</td>\n",
       "      <td>2019-04-30 14:03:43</td>\n",
       "      <td>0.895</td>\n",
       "      <td>0.105</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@NicolasMaduro</td>\n",
       "      <td>RT @lcoutinho: #1 A #Venezuela amanheceu hoje ...</td>\n",
       "      <td>488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1488</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:03:42</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@NicolasMaduro</td>\n",
       "      <td>RT @PCdeLosRios: Condenamos intento de golpe,q...</td>\n",
       "      <td>489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1489</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:03:42</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@NicolasMaduro</td>\n",
       "      <td>@jorgerpsuv @NicolasMaduro Dik durun eğilimeyi...</td>\n",
       "      <td>490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1490</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:03:42</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@NicolasMaduro</td>\n",
       "      <td>@NicolasMaduro 3 personajes ... 2 en el más al...</td>\n",
       "      <td>491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1491</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:03:44</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@NicolasMaduro</td>\n",
       "      <td>@krangelcrbz @NicolasMaduro @ZambranoApure @CR...</td>\n",
       "      <td>492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1492</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:03:44</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@NicolasMaduro</td>\n",
       "      <td>Not Today @NicolasMaduro https://t.co/gH7YxYc0WS</td>\n",
       "      <td>493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1493</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:03:44</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@NicolasMaduro</td>\n",
       "      <td>@BrunoRguezP @NicolasMaduro Condenamos a la di...</td>\n",
       "      <td>494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1494</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:03:44</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@NicolasMaduro</td>\n",
       "      <td>@evoespueblo @NicolasMaduro Tu amigo maduro es...</td>\n",
       "      <td>495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1495</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:03:45</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@NicolasMaduro</td>\n",
       "      <td>@rinacecilia @maibortpetit @jguaido @NicolasMa...</td>\n",
       "      <td>496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1496</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:03:45</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@NicolasMaduro</td>\n",
       "      <td>@teleSURtv @NicolasMaduro hijo de puta! estas ...</td>\n",
       "      <td>497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1497</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:03:45</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@NicolasMaduro</td>\n",
       "      <td>RT @Inforojita: La Carlota en total calma y tr...</td>\n",
       "      <td>498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1498</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:03:45</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@NicolasMaduro</td>\n",
       "      <td>RT @jcajias: Ahora en Catia se preparan los Co...</td>\n",
       "      <td>499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1499</th>\n",
       "      <td>0.0000</td>\n",
       "      <td>2019-04-30 14:05:21</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>@NicolasMaduro</td>\n",
       "      <td>Presentes en @Alcguaicaipuro junto a nuestra A...</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1500 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Compound             DateTime    Neg    Neu    Pos          Source  \\\n",
       "0       0.0000  2019-04-30 14:02:12  1.000  0.000  0.000        @jguaido   \n",
       "1      -0.2263  2019-04-30 14:02:12  0.921  0.079  0.000        @jguaido   \n",
       "2       0.4574  2019-04-30 14:02:12  0.857  0.000  0.143        @jguaido   \n",
       "3       0.0000  2019-04-30 14:02:12  1.000  0.000  0.000        @jguaido   \n",
       "4       0.0000  2019-04-30 14:02:12  1.000  0.000  0.000        @jguaido   \n",
       "5       0.0000  2019-04-30 14:02:12  1.000  0.000  0.000        @jguaido   \n",
       "6       0.0000  2019-04-30 14:02:12  1.000  0.000  0.000        @jguaido   \n",
       "7       0.0000  2019-04-30 14:02:12  1.000  0.000  0.000        @jguaido   \n",
       "8       0.6666  2019-04-30 14:02:12  0.767  0.000  0.233        @jguaido   \n",
       "9       0.0000  2019-04-30 14:02:12  1.000  0.000  0.000        @jguaido   \n",
       "10      0.0000  2019-04-30 14:02:12  1.000  0.000  0.000        @jguaido   \n",
       "11      0.0000  2019-04-30 14:02:12  1.000  0.000  0.000        @jguaido   \n",
       "12      0.0000  2019-04-30 14:02:12  1.000  0.000  0.000        @jguaido   \n",
       "13      0.0000  2019-04-30 14:02:12  1.000  0.000  0.000        @jguaido   \n",
       "14      0.0000  2019-04-30 14:02:12  1.000  0.000  0.000        @jguaido   \n",
       "15      0.0000  2019-04-30 14:02:12  1.000  0.000  0.000        @jguaido   \n",
       "16      0.0000  2019-04-30 14:02:11  1.000  0.000  0.000        @jguaido   \n",
       "17      0.0000  2019-04-30 14:02:11  1.000  0.000  0.000        @jguaido   \n",
       "18      0.0000  2019-04-30 14:02:11  1.000  0.000  0.000        @jguaido   \n",
       "19      0.0000  2019-04-30 14:02:11  1.000  0.000  0.000        @jguaido   \n",
       "20      0.0000  2019-04-30 14:02:11  1.000  0.000  0.000        @jguaido   \n",
       "21      0.0000  2019-04-30 14:02:11  1.000  0.000  0.000        @jguaido   \n",
       "22      0.0000  2019-04-30 14:02:11  1.000  0.000  0.000        @jguaido   \n",
       "23      0.1280  2019-04-30 14:02:11  0.773  0.103  0.124        @jguaido   \n",
       "24      0.0000  2019-04-30 14:02:11  1.000  0.000  0.000        @jguaido   \n",
       "25      0.0000  2019-04-30 14:02:11  1.000  0.000  0.000        @jguaido   \n",
       "26      0.0000  2019-04-30 14:02:11  1.000  0.000  0.000        @jguaido   \n",
       "27      0.0000  2019-04-30 14:02:11  1.000  0.000  0.000        @jguaido   \n",
       "28      0.0000  2019-04-30 14:02:11  1.000  0.000  0.000        @jguaido   \n",
       "29      0.0000  2019-04-30 14:02:11  1.000  0.000  0.000        @jguaido   \n",
       "...        ...                  ...    ...    ...    ...             ...   \n",
       "1470   -0.4466  2019-04-30 14:03:23  0.866  0.134  0.000  @NicolasMaduro   \n",
       "1471    0.6124  2019-04-30 14:03:41  0.810  0.000  0.190  @NicolasMaduro   \n",
       "1472    0.0000  2019-04-30 14:03:40  1.000  0.000  0.000  @NicolasMaduro   \n",
       "1473    0.0000  2019-04-30 14:03:40  1.000  0.000  0.000  @NicolasMaduro   \n",
       "1474    0.0000  2019-04-30 14:03:39  1.000  0.000  0.000  @NicolasMaduro   \n",
       "1475   -0.2960  2019-04-30 14:03:39  0.896  0.104  0.000  @NicolasMaduro   \n",
       "1476    0.0000  2019-04-30 14:03:39  1.000  0.000  0.000  @NicolasMaduro   \n",
       "1477    0.0000  2019-04-30 14:03:38  1.000  0.000  0.000  @NicolasMaduro   \n",
       "1478    0.0000  2019-04-30 14:03:38  1.000  0.000  0.000  @NicolasMaduro   \n",
       "1479    0.4696  2019-04-30 14:03:38  0.821  0.000  0.179  @NicolasMaduro   \n",
       "1480    0.0000  2019-04-30 14:03:38  1.000  0.000  0.000  @NicolasMaduro   \n",
       "1481    0.0000  2019-04-30 14:03:36  1.000  0.000  0.000  @NicolasMaduro   \n",
       "1482    0.0000  2019-04-30 14:03:36  1.000  0.000  0.000  @NicolasMaduro   \n",
       "1483    0.0000  2019-04-30 14:03:36  1.000  0.000  0.000  @NicolasMaduro   \n",
       "1484    0.0000  2019-04-30 14:03:35  1.000  0.000  0.000  @NicolasMaduro   \n",
       "1485   -0.7783  2019-04-30 14:03:43  0.702  0.298  0.000  @NicolasMaduro   \n",
       "1486    0.0000  2019-04-30 14:03:43  1.000  0.000  0.000  @NicolasMaduro   \n",
       "1487   -0.2500  2019-04-30 14:03:43  0.895  0.105  0.000  @NicolasMaduro   \n",
       "1488    0.0000  2019-04-30 14:03:42  1.000  0.000  0.000  @NicolasMaduro   \n",
       "1489    0.0000  2019-04-30 14:03:42  1.000  0.000  0.000  @NicolasMaduro   \n",
       "1490    0.0000  2019-04-30 14:03:42  1.000  0.000  0.000  @NicolasMaduro   \n",
       "1491    0.0000  2019-04-30 14:03:44  1.000  0.000  0.000  @NicolasMaduro   \n",
       "1492    0.0000  2019-04-30 14:03:44  1.000  0.000  0.000  @NicolasMaduro   \n",
       "1493    0.0000  2019-04-30 14:03:44  1.000  0.000  0.000  @NicolasMaduro   \n",
       "1494    0.0000  2019-04-30 14:03:44  1.000  0.000  0.000  @NicolasMaduro   \n",
       "1495    0.0000  2019-04-30 14:03:45  1.000  0.000  0.000  @NicolasMaduro   \n",
       "1496    0.0000  2019-04-30 14:03:45  1.000  0.000  0.000  @NicolasMaduro   \n",
       "1497    0.0000  2019-04-30 14:03:45  1.000  0.000  0.000  @NicolasMaduro   \n",
       "1498    0.0000  2019-04-30 14:03:45  1.000  0.000  0.000  @NicolasMaduro   \n",
       "1499    0.0000  2019-04-30 14:05:21  1.000  0.000  0.000  @NicolasMaduro   \n",
       "\n",
       "                                                   Text  Tweets Ago  \n",
       "0     RT @jguaido: Pueblo de Venezuela inició el fin...           1  \n",
       "1     RT @trish_regan: Just in: #Maduro shut down th...           2  \n",
       "2     RT @CGurisattiNTN24: Atención! Momento en el q...           3  \n",
       "3     RT @VoluntariosxVe: #TodaVenezuelaALaCalle ¡Ll...           4  \n",
       "4     RT @NTN24ve: #URGENTE @jguaido y Leopoldo Lópe...           5  \n",
       "5     RT @joseolivaresm: Reconocimiento Militar al P...           6  \n",
       "6     RT @VP: To @jguaido, the National Assembly and...           7  \n",
       "7     RT @hfsalasromer: Somos mayoría civil y Milita...           8  \n",
       "8     RT @cafreeland: Watching events today in Venez...           9  \n",
       "9     RT @VP: To @jguaido, the National Assembly and...          10  \n",
       "10    RT @JMoPeriodista: #AHORA Abren las puertas de...          11  \n",
       "11    RT @Gbastidas: Reporte de @JesusBastidasP a la...          12  \n",
       "12    RT @ReporteYa: #30Abr 9:30 am 《Desde La Carlot...          13  \n",
       "13    RT @jguaido: Pueblo de Venezuela inició el fin...          14  \n",
       "14    RT @VP: To @jguaido, the National Assembly and...          15  \n",
       "15    RT @TVVnoticias: #30Abr @VP: A @jguaido, la As...          16  \n",
       "16    @srebolledopozo @CNNChile @jguaido @CNN Shaaaa...          17  \n",
       "17    RT @Gbastidas: Reporte de @JesusBastidasP a la...          18  \n",
       "18    RT @sotiridi: #Update: Just in - More Venezuel...          19  \n",
       "19    RT @AndresPastrana_: La @idc_cdi respalda plen...          20  \n",
       "20    RT @joseolivaresm: Mauro acorralado! Momento d...          21  \n",
       "21    RT @jguaido: Fuerza Armada Nacional han tomado...          22  \n",
       "22    RT @ReporteYa: #30Abr Así se encuentra Caricua...          23  \n",
       "23    RT @marcorubio: Rapid fire shots heard in area...          24  \n",
       "24    RT @marcorubio: Video of additional National G...          25  \n",
       "25    RT @jguaido: Pueblo de Venezuela inició el fin...          26  \n",
       "26    RT @vivoplaynet: #30Abr Efectivos de la GNB se...          27  \n",
       "27    RT @WilvisBeaumont: Despertando al pueblo hoy ...          28  \n",
       "28    RT @CancilleriaPeru: Respaldamos plenamente al...          29  \n",
       "29    RT @alcaldeledezma: Viva Venezuela,  la ciudad...          30  \n",
       "...                                                 ...         ...  \n",
       "1470  RT @JuanaElenaUCLV: #Venezuela. El pueblo cuba...         471  \n",
       "1471  @evoespueblo @NicolasMaduro Pobre estúpido, ha...         472  \n",
       "1472  RT @PatyDorta401: Pronto muy pronto.. #ClaeVen...         473  \n",
       "1473  RT @susarsam_olmaz: Guaido fahişesine inat #Tü...         474  \n",
       "1474  RT @susarsam_olmaz: Guaido fahişesine inat #Tü...         475  \n",
       "1475  RT @freddUrock: Ojalá no mueran @NicolasMaduro...         476  \n",
       "1476  RT @DomingoPaniza: ¿A qué hora sale el primer ...         477  \n",
       "1477  @lugoluis8 @NicolasMaduro https://t.co/wFvhYqe9Uf         478  \n",
       "1478  RT @PanAmPost_es: #ÚltimaHora | Militares que ...         479  \n",
       "1479  @TareckPSUV @NicolasMaduro Tú? El desaparecido...         480  \n",
       "1480  RT @evoespueblo: Condenamos enérgicamente el i...         481  \n",
       "1481  RT @carlosdmesag: Sostenemos nuestro respaldo ...         482  \n",
       "1482  RT @susarsam_olmaz: Guaido fahişesine inat #Tü...         483  \n",
       "1483  RT @evoespueblo: Condenamos enérgicamente el i...         484  \n",
       "1484  RT @susarsam_olmaz: Guaido fahişesine inat #Tü...         485  \n",
       "1485  RT @Freddys69539445: @mnfernandez @jguaido @Ni...         486  \n",
       "1486  RT @HJGarciaPlaza: En este momento ordenan la ...         487  \n",
       "1487  RT @lcoutinho: #1 A #Venezuela amanheceu hoje ...         488  \n",
       "1488  RT @PCdeLosRios: Condenamos intento de golpe,q...         489  \n",
       "1489  @jorgerpsuv @NicolasMaduro Dik durun eğilimeyi...         490  \n",
       "1490  @NicolasMaduro 3 personajes ... 2 en el más al...         491  \n",
       "1491  @krangelcrbz @NicolasMaduro @ZambranoApure @CR...         492  \n",
       "1492   Not Today @NicolasMaduro https://t.co/gH7YxYc0WS         493  \n",
       "1493  @BrunoRguezP @NicolasMaduro Condenamos a la di...         494  \n",
       "1494  @evoespueblo @NicolasMaduro Tu amigo maduro es...         495  \n",
       "1495  @rinacecilia @maibortpetit @jguaido @NicolasMa...         496  \n",
       "1496  @teleSURtv @NicolasMaduro hijo de puta! estas ...         497  \n",
       "1497  RT @Inforojita: La Carlota en total calma y tr...         498  \n",
       "1498  RT @jcajias: Ahora en Catia se preparan los Co...         499  \n",
       "1499  Presentes en @Alcguaicaipuro junto a nuestra A...         500  \n",
       "\n",
       "[1500 rows x 8 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for target in target_terms:\n",
    "        counter = 0\n",
    "        # Get desired number of tweets (desired = 100 in this case for each target)\n",
    "        while (counter < desired):   # if desired number of tweets don't get fetched, get more \n",
    "            public_tweets = api.search(target, count=(desired-counter), result_type=\"recent\")\n",
    "            \n",
    "            for tweet in public_tweets['statuses']:       # Loop through all tweets \n",
    "                results = analyzer.polarity_scores(tweet[\"text\"])  # Run Vader Analysis on each tweet\n",
    "                compound = results[\"compound\"]\n",
    "                pos = results[\"pos\"]\n",
    "                neu = results[\"neu\"]\n",
    "                neg = results[\"neg\"]\n",
    "                \n",
    "                # convert datetime object to string and then strip out the 10 chars(date)\n",
    "                Date = str(datetime.strptime(tweet[\"created_at\"], \"%a %b %d %H:%M:%S %z %Y\"))\n",
    "                Date = Date[:19]     # extract date and time\n",
    "        \n",
    "                # Add sentiments for each tweet into an array\n",
    "                sentiments.append({\"Source\": target,\n",
    "                            \"Text\": tweet[\"text\"],\n",
    "                            \"DateTime\": Date, \n",
    "                            \"Compound\": compound,\n",
    "                            \"Pos\": pos,\n",
    "                            \"Neg\": neu,\n",
    "                            \"Neu\": neg,\n",
    "                            \"Tweets Ago\": counter+1})\n",
    "                # increment counter \n",
    "                counter = counter + 1\n",
    "    \n",
    "sentiments_df = pd.DataFrame.from_dict(sentiments)  # Convert sentiments[] to DataFrame\n",
    "\n",
    "sentiments_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 889x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "markersize = 160 \n",
    "kws = dict(s=markersize, linewidth=.8, edgecolor=\"bk\")\n",
    "sns.set(font_scale = 1.5)\n",
    "\n",
    "max_tweets = sentiments_df[\"Tweets Ago\"].max()\n",
    "\n",
    "pyber_palette = ['#c6fcff','#1b919a','#ff0033','#000099','#ffff66']  \n",
    "# light Sky blue, Green, Red, blue, Yellow\n",
    "\n",
    "# rename column header to match solution example\n",
    "sentiments_df.rename(columns = {'Source':'Media Sources'}, inplace = True)  \n",
    "\n",
    "Date = Date[:10] # extract only date from string\n",
    "\n",
    "sns.lmplot(x='Tweets Ago', y='Compound', data=sentiments_df,\n",
    "            fit_reg=False, # No regression line should be displayed\n",
    "            palette=pyber_palette, \n",
    "            scatter_kws=kws,\n",
    "            hue= 'Media Sources',\n",
    "            size = 10,\n",
    "            legend_out=True)\n",
    "#plt.text(8, 45, \"Note:\\nCircle size correlates with driver count per city\", horizontalalignment='left',size='medium', color='green', weight='light')\n",
    "plt.title(\"Análisis de los Sentimientos ({})\".format(Date))\n",
    "plt.ylabel(\"Polaridad de Tweet\")\n",
    "plt.xlabel(\"Tweets Ago\")\n",
    "plt.xlim(max_tweets+5, -5.0)    # margins so plot doesn't end at max values\n",
    "plt.ylim(-1, 1)\n",
    "\n",
    "# Save the figure\n",
    "plt.savefig(\"Sentiment Analysis of Media Tweets.png\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "@jguaido = 0.0240396, @leopoldolopez = 0.07986960000000018, @NicolasMaduro = -0.08559699999999994\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "jguaido = sentiments_df.groupby('Media Sources')['Compound'].mean()['@jguaido']\n",
    "leopoldolopez = sentiments_df.groupby('Media Sources')['Compound'].mean()['@leopoldolopez']\n",
    "NicolasMaduro = sentiments_df.groupby('Media Sources')['Compound'].mean()['@NicolasMaduro']\n",
    "print(\"@jguaido = \" + str(jguaido) + \", @leopoldolopez = \" + str(leopoldolopez) + \", @NicolasMaduro = \" + str(NicolasMaduro))\n",
    "\n",
    "x_labels = ['jguaido','leopoldolopez','NicolasMaduro']\n",
    "y_sentiments = [jguaido,leopoldolopez,NicolasMaduro]\n",
    "palette = ['#c6fcff','#1b919a','#ff0033','#000099','#ffff66']  \n",
    "# light Sky blue, Green, Red, blue, Yellow\n",
    "\n",
    "x_pos = [0,1,2]    # positions for media sources on x axis\n",
    "plt.bar(x_pos, y_sentiments, color=sns.color_palette(palette,5), align='center', width = 1, edgecolor = 'bk', linewidth = .6)\n",
    "plt.xlim(-0.5, len(x_labels)-0.49)   # 0.49 instead of 0.5 to show black edgeline of last bar\n",
    "plt.ylim(min(y_sentiments)-0.1, max(y_sentiments)+0.1)  # margins of +/-0.1 beyond max/min values\n",
    "plt.xticks(x_pos, x_labels)\n",
    "plt.title(\"Overall Media Sentiment based on Twitter ({})\".format(Date), fontsize=14)\n",
    "plt.ylabel(\"Tweet Polarity\", fontsize=14)\n",
    "for a,b in zip(x_pos, y_sentiments):  # show values of each bar in the plot\n",
    "    if b <= 0:\n",
    "        B = b-0.035                   # position text below bar for negative bars.  \n",
    "    else:                             # Value of 'b' is preserved as its ploted (bar height)\n",
    "        B = b+0.015                   # position text above bar for positive bars\n",
    "    plt.text(a-0.25, B, str(round(b, 2)), fontsize = 13)  # round to 2 decimal places before plotting\n",
    "\n",
    "# Save the figure\n",
    "plt.savefig(\"Overall Media Sentiment based on Twitter.png\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "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": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}