{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# **Soynlp 의 Noun Extractor ver 2()** \n",
"> ! pip install soynlp\n",
"\n",
"1. **Unsupervised tokenizers** in **[soynlp project](https://lovit.github.io/nlp/2018/04/09/three_tokenizers_soynlp/)**\n",
"1. 비지도 학습방법을 활용한 **명사 Token 추출 방법을** 익힙니다."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## **0 MeCab() 을 활용한 미등록 명사 추출**\n",
"- ! pip show soynlp\n",
"- ! cat ./data/petition.csv | head -n 2 # 내용 살펴보기\n",
"- 개별 모듈의 사전의 내용과 성격에 따라 결과가 다른만큼 보정이 어려운 단점이 있습니다"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"konlpy version = 0.5.1\n"
]
},
{
"data": {
"text/plain": [
"('MeCab() 명사추출 :', ['트', '이스', '아이오', '아이', '활동', '시절'])"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# -*- encoding:utf8 -*-\n",
"import konlpy\n",
"from konlpy.tag import Mecab\n",
"print('konlpy version = %s' % konlpy.__version__)\n",
"\n",
"sent = '트와이스와 아이오아이가 활동시절 박근혜 최순실의 국정농단 사태는 대통령탄핵으로 이어졌습니다'\n",
"\"MeCab() 명사추출 :\", Mecab().nouns(sent)[:6]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## **1 Noun Extractor ver 2() 학습모델 만들기**\n",
"1. **2016년 까지 수집한 뉴스 텍스트를** 바탕으로 모델을 생성합니다.\n",
"1. **어절간의 결합 엔트로피를** 계산합니다. **단어간 경계에 엔트로피가 크게 증가함을** 근거로 단어를 구분 합니다\n",
"1. **nouns** 는 **{ str : namedtuple }** 형식으로 추출 됩니다."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[Noun Extractor] use default predictors\n",
"[Noun Extractor] num features: pos=1260, neg=1173, common=12\n",
"[Noun Extractor] counting eojeols\n",
"[EojeolCounter] n eojeol = 403896 from 223357 sents. mem=0.157 Gb \n",
"[Noun Extractor] complete eojeol counter -> lr graph\n",
"[Noun Extractor] has been trained. #eojeols=4434442, mem=0.885 Gb\n",
"[Noun Extractor] batch prediction was completed for 146445 words\n",
"[Noun Extractor] checked compounds. discovered 69793 compounds\n",
"[Noun Extractor] postprocessing detaching_features : 118538 -> 101025\n",
"[Noun Extractor] postprocessing ignore_features : 101025 -> 100918\n",
"[Noun Extractor] postprocessing ignore_NJ : 100918 -> 100496\n",
"[Noun Extractor] 100496 nouns (69793 compounds) with min frequency=1\n",
"[Noun Extractor] flushing was done. mem=1.078 Gb \n",
"[Noun Extractor] 80.22 % eojeols are covered\n",
"CPU times: user 37.8 s, sys: 525 ms, total: 38.3 s\n",
"Wall time: 38.1 s\n"
]
}
],
"source": [
"%%time\n",
"from soynlp.utils import DoublespaceLineCorpus\n",
"from soynlp.noun import LRNounExtractor_v2\n",
"\n",
"corpus_path = './data/news_2016-10-20.txt'\n",
"corpus = DoublespaceLineCorpus(corpus_path, iter_sent=True) # Soynlp Corpus 변환\n",
"noun_extractor = LRNounExtractor_v2(verbose=True) # Soynlp 모델의 정의\n",
"nouns = noun_extractor.train_extract(corpus) # 모델의 훈련"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[('잠수함발사탄도미사일', ('잠수함', '발사', '탄도미사일')),\n",
" ('미사일대응능력위원회', ('미사일', '대응', '능력', '위원회')),\n",
" ('글로벌녹색성장연구소', ('글로벌', '녹색성장', '연구소')),\n",
" ('시카고옵션거래소', ('시카고', '옵션', '거래소')),\n",
" ('대한민국특수임무유공', ('대한민국', '특수', '임무', '유공'))]"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"list(noun_extractor._compounds_components.items())[:5]"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"NounScore(frequency=4317, score=1.0)"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"nouns['뉴스'] # NounScore(frequency=4319, score=1.0)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"NounScore(frequency=1.0, score=0)"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"nouns['부산과학기술기획평가']"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## **2 학습모델로 새로운 명사 추출하기**\n",
"1. **2016년 까지 수집한 뉴스 텍스트를** 바탕으로 모델을 생성합니다.\n",
"1. **어절간의 결합 엔트로피를** 계산합니다. **단어간 경계에 엔트로피가 크게 증가함을** 근거로 단어를 구분 합니다\n",
"1. **nouns** 는 **{ str : namedtuple }** 형식으로 추출 됩니다."
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"('두바이', '월드', '센터', '시카고', '옵션', '거래소')"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# nouns['두바이월드센터시카고옵션거래소']\n",
"noun_extractor.decompose_compound('두바이월드센터시카고옵션거래소를')"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"('햄버거', '짬뽕')"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# nouns['두바이월드센터시카고옵션거래소']\n",
"noun_extractor.decompose_compound('햄버거짬뽕')"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"('한국', '아이티', '비지니스', '진흥', '협회')"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"noun_extractor.decompose_compound('한국아이티비지니스진흥협회의')"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"('한국IT비지니스진흥협회에서',)"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 단 영어가 포함된 경우에는 엔트로피 측정이 잘 안됨에 주의\n",
"noun_extractor.decompose_compound('한국IT비지니스진흥협회에서')"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"('복만두를강냉이와',)"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 학습내용과 무관한 단어들은 구분능력이 떨어짐 (당연하지..)\n",
"noun_extractor.decompose_compound('복만두를강냉이와')"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[('', 123),\n",
" ('의', 47),\n",
" ('는', 40),\n",
" ('와', 18),\n",
" ('가', 18),\n",
" ('에', 7),\n",
" ('에게', 6),\n",
" ('까지', 2),\n",
" ('랑', 2),\n",
" ('부터', 1)]"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"noun_extractor.lrgraph.get_r('아이오아이')"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[('', 123),\n",
" ('의', 47),\n",
" ('는', 40),\n",
" ('와', 18),\n",
" ('가', 18),\n",
" ('에', 7),\n",
" ('에게', 6),\n",
" ('까지', 2),\n",
" ('랑', 2),\n",
" ('부터', 1),\n",
" ('도', 1),\n",
" ('와의', 1),\n",
" ('와는', 1),\n",
" ('로', 1),\n",
" ('를', 1),\n",
" ('에서', 1)]"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# topk=10 으로 설정되어 있습니다. topk < 0 으로 설정하면 모든 R set 이 출력됩니다.\n",
"noun_extractor.lrgraph.get_r('아이오아이', topk=-1)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[('있', 125),\n",
" ('없', 76),\n",
" ('만들', 37),\n",
" ('늘', 32),\n",
" ('맺', 29),\n",
" ('열', 28),\n",
" ('들', 19),\n",
" ('입', 16),\n",
" ('되', 14),\n",
" ('줄', 14)]"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# L-R 구조의 L parts 도 확인할 수 있습니다. 이 역시 topk=10 으로 기본값이 설정되어 있습니다.\n",
"noun_extractor.lrgraph.get_l('었다고')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## **3 LRGraph 를 활용한 데이터의 L-R 구조 확인**\n",
"**soynlp.utils** 의 **LRGraph** 를 이용하면 **데이터의 L-R 구조를** 살펴볼 수 있습니다.\n",
"1. 한국어의 어절은 **L(의미단어) + [R](문법단어)** 구조입니다. \n",
"1. 문법은 사회적 약속이고 쉽게 바뀌지 않아 **closed class** 를 사용 합니다.\n",
"1. 데이터에서 추출하는 **새로운 개념의 단어** 를 **L part** 라고 합니다.\n",
"\n",
"https://github.com/lovit/soynlp/blob/6632449319eac3e51b3f6ffbc1cf65dd7096678e/tutorials/wordextractor_lecture.ipynb"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"num sentences = 223,357\n",
"training was done. used memory 1.627 Gbse memory 1.675 Gb\n",
"all cohesion probabilities was computed. # words = 16942\n",
"all branching entropies was computed # words = 355061\n",
"all accessor variety was computed # words = 355061\n",
"CPU times: user 52.7 s, sys: 823 ms, total: 53.5 s\n",
"Wall time: 53.5 s\n"
]
},
{
"data": {
"text/plain": [
"14325"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"%%time\n",
"from soynlp.word import WordExtractor\n",
"\n",
"word_extractor = WordExtractor(\n",
" min_frequency=100,\n",
" min_cohesion_forward=0.05, \n",
" min_right_branching_entropy=0.0\n",
")\n",
"\n",
"print('num sentences = {:,}'.format(len(corpus)))\n",
"word_extractor.train(corpus)\n",
"words = word_extractor.extract()\n",
"len(words)"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"단어 (빈도수, cohesion, branching entropy)\n",
"\n",
"으로\t(1,634, 0.953, 5.334)\n",
"까지\t( 654, 0.691, 5.349)\n",
"함께\t(7,946, 0.912, 5.053)\n",
"통해\t(8,471, 0.578, 5.278)\n",
"에서\t(7,494, 0.604, 5.187)\n",
"된다\t(2,681, 0.982, 4.675)\n",
"먼저\t(1,112, 0.903, 4.665)\n",
"면서\t(1,944, 0.458, 5.337)\n",
"밝혔다\t(8,360, 0.836, 4.651)\n",
"했다\t(7,070, 0.689, 4.795)\n",
"됐다\t(2,219, 0.750, 4.658)\n",
"또한\t(2,180, 0.440, 5.086)\n",
"같은\t(4,429, 0.568, 4.832)\n",
"됩니다\t( 247, 0.967, 4.272)\n",
"새로운\t(2,334, 0.578, 4.784)\n",
"말했다\t(8,345, 0.706, 4.540)\n",
"관계자는\t(2,942, 0.501, 4.860)\n",
"였다\t( 211, 0.632, 4.556)\n",
"때문에\t(4,742, 0.696, 4.436)\n",
"과정에서\t( 990, 0.497, 4.738)\n",
"겁니다\t( 518, 0.915, 4.106)\n",
"위해\t(8,888, 0.367, 5.016)\n",
"예정이다\t(3,586, 0.607, 4.476)\n",
"따라\t(3,669, 0.366, 4.977)\n",
"따르면\t(3,470, 0.589, 4.440)\n",
"합니다\t( 739, 0.421, 4.766)\n",
"왔다\t( 674, 0.604, 4.396)\n",
"냈다\t( 340, 0.659, 4.298)\n",
"설명했다\t(2,055, 0.612, 4.370)\n",
"너무\t(1,247, 0.711, 4.209)\n"
]
}
],
"source": [
"import math\n",
"def word_score(score):\n",
" return (score.cohesion_forward * math.exp(score.right_branching_entropy))\n",
"\n",
"print('단어 (빈도수, cohesion, branching entropy)\\n')\n",
"for word, score in sorted(words.items(), \n",
" key = lambda x:word_score(x[1]), \n",
" reverse = True)[:30]:\n",
" print('{:}\\t({:5,}, {:.3f}, {:.3f})'.format(\n",
" word, \n",
" score.leftside_frequency, \n",
" score.cohesion_forward,\n",
" score.right_branching_entropy))"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"all cohesion probabilities was computed. # words = 16942\n",
"CPU times: user 116 ms, sys: 60 µs, total: 116 ms\n",
"Wall time: 114 ms\n"
]
},
{
"data": {
"text/plain": [
"(0.30063636035733476, 0)"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"%%time\n",
"# Cohesion score, Branching Entropy, Accessor Variety 에 대하여 각각의 점수만 이용하고 싶은 경우에는 다음의 함수를 이용합니다\n",
"cohesion_scores = word_extractor.all_cohesion_scores()\n",
"cohesion_scores['아이오아이'] # (cohesion_forward, cohesion_backward)"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"all cohesion probabilities was computed. # words = 16942\n",
"CPU times: user 106 ms, sys: 3.89 ms, total: 110 ms\n",
"Wall time: 109 ms\n"
]
},
{
"data": {
"text/plain": [
"(0.30063636035733476, 0)"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"%%time\n",
"# Cohesion score, Branching Entropy, Accessor Variety 에 대하여 각각의 점수만 이용하고 싶은 경우에는 다음의 함수를 이용합니다\n",
"cohesion_scores = word_extractor.all_cohesion_scores()\n",
"cohesion_scores['아이오아이'] # (cohesion_forward, cohesion_backward)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"all branching entropies was computed # words = 355061\n",
"CPU times: user 5.32 s, sys: 23 µs, total: 5.32 s\n",
"Wall time: 5.32 s\n"
]
},
{
"data": {
"text/plain": [
"(3.0548011243339506, 2.766022241109869)"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"%%time\n",
"branching_entropy = word_extractor.all_branching_entropy()\n",
"branching_entropy['아이오아이'] # (left_branching_entropy, right_branching_entropy)"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"all accessor variety was computed # words = 355061\n",
"CPU times: user 4.32 s, sys: 12 ms, total: 4.33 s\n",
"Wall time: 4.33 s\n"
]
},
{
"data": {
"text/plain": [
"(32, 22)"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"%%time\n",
"accessor_variety = word_extractor.all_accessor_variety()\n",
"accessor_variety['아이오아이'] # (left_accessor_variety, right_accessor_variety)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## **4 명사추출 구조화 방식에 따른 함수의 적용**\n",
"https://gist.github.com/lovit/b873e1fbc196e0e8f383414f54b1122e\n",
"1. **NonuLMatchTokenizer** 는 어절의 **왼쪽부분에만 명사가 등장한다는** 가정을 한 모델\n",
"1. **NounMatchTokenizer** 는 어절의 **왼쪽이 아닌 부분에서 명사가 시작할 수 있다고** 가정한 모델입니다."
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[Noun Extractor] counting eojeols\n",
"[EojeolCounter] n eojeol = 403896 from 223357 sents. mem=1.632 Gb \n",
"[Noun Extractor] complete eojeol counter -> lr graph\n",
"[Noun Extractor] has been trained. #eojeols=4434442, mem=1.971 Gb\n",
"[Noun Extractor] batch prediction was completed for 146445 words\n",
"[Noun Extractor] checked compounds. discovered 69793 compounds\n",
"[Noun Extractor] postprocessing detaching_features : 118538 -> 101025\n",
"[Noun Extractor] postprocessing ignore_features : 101025 -> 100918\n",
"[Noun Extractor] postprocessing ignore_NJ : 100918 -> 100496\n",
"[Noun Extractor] 100496 nouns (69793 compounds) with min frequency=1\n",
"[Noun Extractor] flushing was done. mem=1.927 Gb \n",
"[Noun Extractor] 80.22 % eojeols are covered\n",
"CPU times: user 41.4 s, sys: 325 ms, total: 41.7 s\n",
"Wall time: 41.6 s\n"
]
}
],
"source": [
"%%time\n",
"from soynlp.tokenizer import NounLMatchTokenizer, NounMatchTokenizer\n",
"\n",
"# noun_scores[noun] = (score, frequency) : 학습을 위한 데이터로 변환 합니다.\n",
"noun_scores = noun_extractor.train_extract(corpus)\n",
"lmatch_tokenizer = NounLMatchTokenizer(nouns = noun_scores)"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['오늘', '연합뉴스날씨']"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"lmatch_tokenizer.tokenize('오늘의 연합뉴스날씨입니다.')"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[]"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"lmatch_tokenizer.tokenize('마파두부야채볶음')"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['오늘', '연합뉴스', '날씨']"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"lmatch_tokenizer.tokenize('오늘의 연합뉴스날씨입니다.', compose_compound=False)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['오늘', '연합뉴스', '날씨']"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"lmatch_tokenizer.tokenize('오늘의 연합뉴스 날씨입니다.')"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['오늘']"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"lmatch_tokenizer.tokenize('오늘의 ㅋ연합뉴스날씨입니다.')\n",
"\n",
"# NounMatchTokenizer() 는 위 함수대로 작동하지 않습니다,\n",
"# match_tokenizer = NounMatchTokenizer(noun_scores = noun_scores)\n",
"# match_tokenizer.tokenize('오늘의 연합뉴스날씨입니다.')\n",
"# match_tokenizer.tokenize('오늘의 ㅋ연합뉴스 날씨입니다.')\n",
"# match_tokenizer.tokenize('오늘의 ㅋ연합뉴스날씨입니다.', compose_compound=False)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"
\n",
"# **명사추출 및 WordCloud 실습**\n",
"https://lovit.github.io/nlp/2018/04/09/three_tokenizers_soynlp/\n",
"\n",
"## **1 데이터 불러오기**\n",
"1. **[국민 청원 데이터](https://s3.ap-northeast-2.amazonaws.com/data10902/petition/petition.csv)** 를 활용한 분석\n",
"1. 특정 주제의 청원들로 **Filtering** 합니다"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(27452, 8)\n"
]
},
{
"data": {
"text/plain": [
"('서울, 강남에만 집이 있는게 아닙니다. 부산도 지금 집값이 엉망인데 왜 외면하십니까?',\n",
" '부동산 투기를 잡고 집값을 안정시키겠다는 대통령님과 정부의 의지에 절대적인 찬성을 보냅니다.\\\\n지난 정부의 실책으로 투기꾼들은 큰 돈을 벌었을지 모르지만 그렇지 않은 대다수의 국민')"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import re\n",
"import pandas as pd\n",
"df = pd.read_csv('./data/petition.csv', parse_dates=['start', 'end'])\n",
"p = r'.*(대출|집값|부동산|LTV).*'\n",
"estate = df[ df['title'].str.match(p) | df['content'].str.match(\n",
" p, flags=re.MULTILINE) ].reset_index(drop=True)\n",
"print(estate.shape)\n",
"\n",
"# 특정 인덱스 문서를 Sample 로 추출 합니다.\n",
"sample_index = 15 # 샘플문서 인덱스\n",
"sample_title = estate['title'][sample_index]\n",
"sample_content = estate['content'][sample_index]\n",
"sample_title, sample_content[:100]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## **2 Soynlp 를 활용한 Word Extractor**\n",
"1. Word Extractor 에서 학습 알고리즘은 Cohesion score, Branching Entropy, Accessor Variety 있습니다.\n",
"1. 이 포스트에서는 soynlp.word.WordExtractor 의 사용법에 대하여 이야기 합니다."
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"14 403\n"
]
},
{
"data": {
"text/plain": [
"(['서울',\n",
" ',',\n",
" '강남에만',\n",
" '집이',\n",
" '있는게',\n",
" '아닙니다',\n",
" '.',\n",
" '부산도',\n",
" '지금',\n",
" '집값이',\n",
" '엉망인데',\n",
" '왜',\n",
" '외면하십니까',\n",
" '?'],\n",
" ['부동산', '투기를', '잡고', '집값을', '안정시키겠다는', '대통령님과', '정부의', '의지에', '절대적인', '찬성을'])"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 토큰화\n",
"from soynlp.tokenizer import RegexTokenizer, LTokenizer, MaxScoreTokenizer\n",
"tokenizer = RegexTokenizer()\n",
"tokened_title = tokenizer.tokenize(sample_title)\n",
"tokened_content = tokenizer.tokenize(sample_content)\n",
"\n",
"print(len(tokened_title), len(tokened_content))\n",
"tokened_title, tokened_content[:10]"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 31.1 s, sys: 24 ms, total: 31.1 s\n",
"Wall time: 31.1 s\n"
]
},
{
"data": {
"text/plain": [
"(0 [**, 존경하옵는, 문재인대통령님께, 저는, 중국원양자원이라는, KOSPI, 상장...\n",
" 1 [안녕하세요, 대통령님, 금연, 관련, 정책들이, 강화되고, 있지만, 여전히, 흡연...\n",
" 2 [8.2, 대책후, 매수세가, 싹, 사라졌습니다, .., 집을, 팔고, 이사를, 해...\n",
" Name: content, dtype: object,\n",
" ['부동산', '투기를', '잡고', '집값을', '안정시키겠다는', '대통령님과', '정부의', '의지에', '절대적인', '찬성을'])"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"%%time\n",
"# Preprocessing (개행문자 제거)\n",
"def preprocessing(text):\n",
" text = re.sub('\\\\\\\\n', ' ', text)\n",
" return text\n",
"\n",
"sentences = estate['content'].apply(preprocessing)\n",
"tokens = sentences.apply(tokenizer.tokenize)\n",
"tokens[:3], tokens[sample_index][:10]"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
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