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HyeongWookKim/Ch 8. 자연어 처리 시작하기.ipynb

Created June 8, 2020 00:08
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[Ch 8. 자연어 처리 시작하기] from "파이썬으로 데이터 주무르기(민형기 지음)"
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Ch 8. 자연어 처리 시작하기.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 8장. 자연어 처리 시작하기\n",
"<학습 목적>\n",
"- 웹 데이터를 다루다 보면, 정형화된 데이터에서 단순 텍스트 분석 등의 역할에 대한 니즈(needs)가 있다\n",
"- ```KoNLPy```를 사용하여 **한글 자연어 처리 기초**에 대한 실습을 해볼 예정이다\n",
"- 이번 챕터는 이론적인 배경보다는 응용적인 측면에 맞춰서 진행할 예정이다\n",
"\n",
"**<KoNLPy 및 필요한 모듈 설치 방법>**\n",
"\n",
"- 교재에 나온 방법대로 하면 안된다. 교재에 나온 설치 순서가 잘못되었다\n",
"- 내 개인 블로그에 설치 방법에 대한 자세한 설명을 포스팅해 놓았으니, 참고하길 바란다 --> https://data-scientist-brian-kim.tistory.com/54"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**꼬꼬마(Kkma) 모듈을 사용한 한글 자연어 처리 기초**"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:02:28.675987Z",
"start_time": "2020-06-08T00:02:27.675243Z"
}
},
"outputs": [],
"source": [
"from konlpy.tag import Kkma\n",
"kkma = Kkma()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- **문장 분석**을 통해, 마침표가 없어도 두 개의 문장으로 구분할 수 있다"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:02:37.818283Z",
"start_time": "2020-06-08T00:02:28.682967Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"['한국어 분석을 시작합니다', '재미있어요~~']"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"kkma.sentences('한국어 분석을 시작합니다 재미있어요~~')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- **명사 분석**도 수행할 수 있다"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:02:38.865109Z",
"start_time": "2020-06-08T00:02:37.828318Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"['한국어', '분석']"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"kkma.nouns('한국어 분석을 시작합니다 재미있어요~~')"
]
},
{
"cell_type": "markdown",
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-05T00:05:52.524568Z",
"start_time": "2020-06-05T00:05:52.518584Z"
}
},
"source": [
"- 아래와 같이 **형태소 분석**도 수행 가능하다\n",
" - 한글은 영어와 달리, 단어의 형태 변화가 많아서 쉽게 접근하기 어렵다\n",
" - 그래서 **최소한의 의미 단위**인 **형태소**로 언어를 분석하는 것이 일반적이다"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:02:38.984792Z",
"start_time": "2020-06-08T00:02:38.873089Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"[('한국어', 'NNG'),\n",
" ('분석', 'NNG'),\n",
" ('을', 'JKO'),\n",
" ('시작하', 'VV'),\n",
" ('ㅂ니다', 'EFN'),\n",
" ('재미있', 'VA'),\n",
" ('어요', 'EFN'),\n",
" ('~~', 'SW')]"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"kkma.pos('한국어 분석을 시작합니다 재미있어요~~')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**한나눔(Hannanum)을 사용한 한글 자연어 처리 기초**"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:02:39.009725Z",
"start_time": "2020-06-08T00:02:38.987783Z"
}
},
"outputs": [],
"source": [
"from konlpy.tag import Hannanum\n",
"hannanum = Hannanum()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:02:40.167627Z",
"start_time": "2020-06-08T00:02:39.012716Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"['한국어', '분석', '시작']"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"hannanum.nouns('한국어 분석을 시작합니다 재미있어요~~')"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:02:40.194555Z",
"start_time": "2020-06-08T00:02:40.170620Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"['한국어', '분석', '을', '시작', '하', 'ㅂ니다', '재미있', '어요', '~~']"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"hannanum.morphs('한국어 분석을 시작합니다 재미있어요~~')"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:02:40.217494Z",
"start_time": "2020-06-08T00:02:40.198545Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"[('한국어', 'N'),\n",
" ('분석', 'N'),\n",
" ('을', 'J'),\n",
" ('시작', 'N'),\n",
" ('하', 'X'),\n",
" ('ㅂ니다', 'E'),\n",
" ('재미있', 'P'),\n",
" ('어요', 'E'),\n",
" ('~~', 'S')]"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"hannanum.pos('한국어 분석을 시작합니다 재미있어요~~')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**트위터(Twitter) 모듈을 사용한 한글 자연어 처리 기초**\n",
"- KoNLPy version 0.4.5.부터 ```Twitter``` 모듈이 ```Okt``` 모듈로 이름이 변경되었다"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:02:40.231456Z",
"start_time": "2020-06-08T00:02:40.220486Z"
}
},
"outputs": [],
"source": [
"from konlpy.tag import Okt\n",
"t = Okt()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:02:45.258179Z",
"start_time": "2020-06-08T00:02:40.233450Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"['한국어', '분석', '시작']"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"t.nouns('한국어 분석을 시작합니다 재미있어요~~')"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:02:45.307049Z",
"start_time": "2020-06-08T00:02:45.261171Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"['한국어', '분석', '을', '시작', '합니다', '재미있어요', '~~']"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"t.morphs('한국어 분석을 시작합니다 재미있어요~~')"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:02:45.355917Z",
"start_time": "2020-06-08T00:02:45.309043Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"[('한국어', 'Noun'),\n",
" ('분석', 'Noun'),\n",
" ('을', 'Josa'),\n",
" ('시작', 'Noun'),\n",
" ('합니다', 'Verb'),\n",
" ('재미있어요', 'Adjective'),\n",
" ('~~', 'Punctuation')]"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"t.pos('한국어 분석을 시작합니다 재미있어요~~')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 워드 클라우드(WordCloud)\n",
"- 워드 클라우드는 **출현 빈도가 높은 단어를 크게 보여줌**으로써 직관적으로 텍스트를 알리는데 도움을 준다\n",
"- cmd 명령 프롬프트 창에서 ```pip install wordcloud``` 명령으로 WordCloud를 설치해주어야 한다"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:02:45.663081Z",
"start_time": "2020-06-08T00:02:45.357912Z"
}
},
"outputs": [],
"source": [
"from wordcloud import WordCloud, STOPWORDS\n",
"\n",
"import numpy as np\n",
"from PIL import Image"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**<워드 클라우드 튜토리얼 1> - \"이상한 나라의 앨리스\" 문서**\n",
"- 간단한 워드 클라우드 튜토리얼을 수행해보면서 실습을 진행해보겠다\n",
"- 먼저 이상한 나라의 앨리스 영문 버전 및 앨리그 그림을 다운 받아서 data 폴더에 저장하고 불러오겠다"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**NLTK를 통해서 불용어(Stopword) 제거**\n",
"- 갖고 있는 데이터에서 유의미한 단어 토큰만을 선별하기 위해서, 큰 의미가 없는 단어 토큰을 제거하는 작업이 필요하다\n",
" - 큰 의미가 없다라는 것은 **자주 등장하지만, 분석을 수행함에 있어서 큰 도움이 되지 않는 단어들**을 의미한다\n",
" - ex) I, my, me, over, ...\n",
"- 앨리스 소설에는 \"said\"라는 단어가 불용어(Stopword)인 듯 싶다\n",
"- 따라서 이 단어는 카운트에서 제거하도록 하겠다"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:02:45.705966Z",
"start_time": "2020-06-08T00:02:45.665075Z"
}
},
"outputs": [],
"source": [
"text = open(\"../data/09. alice.txt\").read()\n",
"alice_mask = np.array(Image.open(\"../data/09. alice_mask.png\"))\n",
"\n",
"stopwords = set(STOPWORDS)\n",
"stopwords.add(\"said\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- matplotlib에서 한글 폰트 설정해주기"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:02:45.976412Z",
"start_time": "2020-06-08T00:02:45.707961Z"
}
},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt\n",
"import platform\n",
"%matplotlib inline\n",
"\n",
"path = \"c:/Windows/Fonts/malgun.ttf\"\n",
"from matplotlib import font_manager, rc\n",
"if platform.system() == 'Darwin':\n",
" rc('font', family = 'AppleGothic')\n",
"elif platform.system() == 'Windows':\n",
" font_name = font_manager.FontProperties(fname=path).get_name()\n",
" rc('font', family = font_name)\n",
"else:\n",
" print('Unknown system... sorry~~~~') "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- ```imshow()``` 함수를 통해 이미지 출력하기"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:02:47.900881Z",
"start_time": "2020-06-08T00:02:45.979405Z"
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 576x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize = (8, 8))\n",
"plt.imshow(alice_mask, cmap = plt.cm.gray, interpolation = 'bilinear')\n",
"plt.axis('off')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- **워드 클라우드**에서 제공하는 **문서 자체에서 단어를 카운트하는 기능**을 사용해서 **최빈 단어**를 찾아보겠다\n",
" - 가장 출현 빈도가 높은 단어는 \"Alice\"인 것을 알 수 있다"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:02:52.945767Z",
"start_time": "2020-06-08T00:02:47.902878Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"{'Alice': 1.0,\n",
" 'said Alice': 0.5888324873096447,\n",
" 'little': 0.4619289340101523,\n",
" 'the Queen': 0.36548223350253806,\n",
" 'one': 0.3197969543147208,\n",
" 'the King': 0.3147208121827411,\n",
" 'thing': 0.29949238578680204,\n",
" 'now': 0.28426395939086296,\n",
" 'Mock Turtle': 0.28426395939086296,\n",
" 'the Mock': 0.26903553299492383,\n",
" 'the Gryphon': 0.26903553299492383,\n",
" 'time': 0.2639593908629442,\n",
" 'quite': 0.2639593908629442,\n",
" 'the Hatter': 0.2639593908629442,\n",
" 'way': 0.25888324873096447,\n",
" 'think': 0.2436548223350254,\n",
" 'went on': 0.2436548223350254,\n",
" 'you know': 0.22842639593908629,\n",
" 'first': 0.2182741116751269,\n",
" 'come': 0.2182741116751269,\n",
" 'voice': 0.2131979695431472,\n",
" 'the Duchess': 0.20812182741116753,\n",
" 'Why': 0.20304568527918782,\n",
" 'never': 0.19289340101522842,\n",
" \"I'm\": 0.18781725888324874,\n",
" 'tone': 0.18781725888324874,\n",
" 'came': 0.17766497461928935,\n",
" 'the Dormouse': 0.17766497461928935,\n",
" 'nothing': 0.17258883248730963,\n",
" 'day': 0.16751269035532995,\n",
" 'large': 0.16751269035532995,\n",
" 'well': 0.16243654822335024,\n",
" 'got': 0.16243654822335024,\n",
" 'long': 0.16243654822335024,\n",
" 'say': 0.15736040609137056,\n",
" 'Oh': 0.15736040609137056,\n",
" 'put': 0.15736040609137056,\n",
" 'began': 0.15736040609137056,\n",
" 'word': 0.15736040609137056,\n",
" 'round': 0.15736040609137056,\n",
" \"I'll\": 0.15736040609137056,\n",
" 'March Hare': 0.15736040609137056,\n",
" 'made': 0.15228426395939088,\n",
" 'great': 0.15228426395939088,\n",
" 'the March': 0.15228426395939088,\n",
" 'she went': 0.14720812182741116,\n",
" 'looked': 0.14213197969543148,\n",
" 'might': 0.14213197969543148,\n",
" 'the Mouse': 0.14213197969543148,\n",
" 'much': 0.13705583756345177,\n",
" 'see': 0.13705583756345177,\n",
" 'right': 0.13705583756345177,\n",
" 'two': 0.13705583756345177,\n",
" 'away': 0.1319796954314721,\n",
" 'without': 0.1319796954314721,\n",
" 'thought Alice': 0.1319796954314721,\n",
" 'the Caterpillar': 0.1319796954314721,\n",
" 'rather': 0.12690355329949238,\n",
" 'yet': 0.12690355329949238,\n",
" 'looking': 0.12690355329949238,\n",
" 'took': 0.1218274111675127,\n",
" 'take': 0.1218274111675127,\n",
" 'the Rabbit': 0.1218274111675127,\n",
" \"I've\": 0.116751269035533,\n",
" 'know': 0.116751269035533,\n",
" 'head': 0.116751269035533,\n",
" 'go': 0.116751269035533,\n",
" 'added': 0.116751269035533,\n",
" 'to see': 0.116751269035533,\n",
" 'the Cat': 0.116751269035533,\n",
" 'of course': 0.116751269035533,\n",
" 'getting': 0.1116751269035533,\n",
" 'three': 0.1116751269035533,\n",
" 'back': 0.1116751269035533,\n",
" 'White Rabbit': 0.1116751269035533,\n",
" 'one of': 0.1116751269035533,\n",
" 'the White': 0.1116751269035533,\n",
" 'the door': 0.1116751269035533,\n",
" 'look': 0.1065989847715736,\n",
" 'upon': 0.1065989847715736,\n",
" 'Cat': 0.1065989847715736,\n",
" 'question': 0.1065989847715736,\n",
" 'hand': 0.1065989847715736,\n",
" 'eye': 0.1065989847715736,\n",
" 'as well': 0.1065989847715736,\n",
" 'to say': 0.1065989847715736,\n",
" 'thought': 0.10152284263959391,\n",
" 'make': 0.10152284263959391,\n",
" 'anything': 0.10152284263959391,\n",
" 'However': 0.10152284263959391,\n",
" 'half': 0.10152284263959391,\n",
" 'replied': 0.10152284263959391,\n",
" 'her head': 0.10152284263959391,\n",
" 'seemed to': 0.10152284263959391,\n",
" 'moment': 0.09644670050761421,\n",
" 'even': 0.09644670050761421,\n",
" 'tea': 0.09644670050761421,\n",
" 'heard': 0.09644670050761421,\n",
" 'must be': 0.09644670050761421,\n",
" 'at last': 0.09644670050761421,\n",
" 'the jury': 0.09644670050761421,\n",
" 'soon': 0.09137055837563451,\n",
" 'enough': 0.09137055837563451,\n",
" 'sure': 0.09137055837563451,\n",
" 'something': 0.09137055837563451,\n",
" 'she thought': 0.09137055837563451,\n",
" 'this time': 0.09137055837563451,\n",
" 'good': 0.08629441624365482,\n",
" 'perhaps': 0.08629441624365482,\n",
" 'talking': 0.08629441624365482,\n",
" 'wish': 0.08629441624365482,\n",
" 'asked': 0.08629441624365482,\n",
" 'Bill': 0.08629441624365482,\n",
" 'looked at': 0.08629441624365482,\n",
" 'Mouse': 0.08121827411167512,\n",
" 'bit': 0.08121827411167512,\n",
" 'turned': 0.08121827411167512,\n",
" 'garden': 0.08121827411167512,\n",
" 'will': 0.08121827411167512,\n",
" 'hastily': 0.08121827411167512,\n",
" 'change': 0.08121827411167512,\n",
" 'There was': 0.08121827411167512,\n",
" 'to go': 0.08121827411167512,\n",
" 'last': 0.07614213197969544,\n",
" 'seen': 0.07614213197969544,\n",
" 'must': 0.07614213197969544,\n",
" 'idea': 0.07614213197969544,\n",
" 'eat': 0.07614213197969544,\n",
" 'saying': 0.07614213197969544,\n",
" 'tell': 0.07614213197969544,\n",
" 'table': 0.07614213197969544,\n",
" 'leave': 0.07614213197969544,\n",
" 'gave': 0.07614213197969544,\n",
" 'done': 0.07614213197969544,\n",
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" 'fun': 0.015228426395939087,\n",
" 'breathe': 0.015228426395939087,\n",
" \"o'clock\": 0.015228426395939087,\n",
" 'year': 0.015228426395939087,\n",
" 'cautiously': 0.015228426395939087,\n",
" 'music': 0.015228426395939087,\n",
" 'fly': 0.015228426395939087,\n",
" 'lived': 0.015228426395939087,\n",
" 'upset': 0.015228426395939087,\n",
" 'manner': 0.015228426395939087,\n",
" 'muchness': 0.015228426395939087,\n",
" 'watching': 0.015228426395939087,\n",
" 'checked': 0.015228426395939087,\n",
" 'eager': 0.015228426395939087,\n",
" ...}"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"wc = WordCloud(background_color = 'white', max_words = 2000, mask = alice_mask,\n",
" stopwords = stopwords)\n",
"wc = wc.generate(text)\n",
"wc.words_"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 앞서 출력했던 앨리스 그림에 위의 단어들의 빈도를 겹쳐서 보이게끔 해주겠다\n",
" - 아래와 같이 그려놓고 보니, 최빈 단어 결과가 시각적으로 확 와닿는다!!"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:02:54.083308Z",
"start_time": "2020-06-08T00:02:52.947760Z"
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 864x864 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize = (12, 12))\n",
"plt.imshow(wc, interpolation = 'bilinear')\n",
"plt.axis('off')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**<워드 클라우드 튜토리얼 2> - \"스타워즈의 A New Hope\" 문서**\n",
"- 이번엔 다른 텍스트 데이터로 간단한 워드 클라우드 튜토리얼을 수행해보겠다\n",
"- 먼저 text 파일을 읽어와서, 특수하게 처리해야 할 단어를 처리해주겠다"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:02:54.111269Z",
"start_time": "2020-06-08T00:02:54.085340Z"
}
},
"outputs": [],
"source": [
"text = open(\"../data/09. a_new_hope.txt\").read()\n",
"\n",
"# 특수하게 처리해야 할 단어들\n",
"text = text.replace('HAN', 'Han')\n",
"text = text.replace(\"LUKE'S\", \"Luke\")\n",
"\n",
"mask = np.array(Image.open('../data/09. stormtrooper_mask.png'))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**NLTK를 통해서 불용어(Stopword) 제거**\n",
"- \"int\", \"ext\"를 불용어로 보고 제거해주었다"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:02:54.118253Z",
"start_time": "2020-06-08T00:02:54.113265Z"
}
},
"outputs": [],
"source": [
"stopwords = set(STOPWORDS)\n",
"stopwords.add('int')\n",
"stopwords.add('ext')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 마찬가지로 **워드 클라우드**를 준비한다"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:01.653729Z",
"start_time": "2020-06-08T00:02:54.120247Z"
}
},
"outputs": [],
"source": [
"wc = WordCloud(max_words = 1000, mask = mask, stopwords = stopwords,\n",
" margin = 10, random_state = 1).generate(text)\n",
"default_colors = wc.to_array()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 앞서 수행해 본 앨리스와는 약간 달리, 색상을 전체적으로 **회색(grey)**으로 채우도록 ```grey_color_func()``` 함수를 생성해주겠다"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:01.662703Z",
"start_time": "2020-06-08T00:03:01.656718Z"
}
},
"outputs": [],
"source": [
"import random\n",
"\n",
"def grey_color_func(word, font_size, position, orientation,\n",
" random_state = None, **kwargs):\n",
" return 'hsl(0, 0%%, %d%%)' % random.randint(60, 100)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 이제 워드 클라우드 결과를 시각화 해보겠다!!\n",
" - 아래와 같이 텍스트 분석 주제에 맞는 그림으로 시각화를 하면, 더 좋은 효과를 얻을 수 있다"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:02.772114Z",
"start_time": "2020-06-08T00:03:01.673673Z"
}
},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 864x864 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize = (12, 12))\n",
"plt.imshow(wc.recolor(color_func = grey_color_func, random_state = 3),\n",
" interpolation = 'bilinear')\n",
"plt.axis('off')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 육아휴직 관련 법안에 대한 분석\n",
"- 이번에는 KoNLPy가 내장하고 있는 **법률 문서** 중 하나를 사용해서, 자연처 처리의 기초적인 분석을 수행해보겠다\n",
" - 사용된 법률 문서: **육아휴직 관련 법안 - 대한민국 국회 제 1809890호 의안**\n",
" - 이 법률은 비록 공무원에 한정하고 있지만, 육아휴직 대상이 되는 아이의 나이를 만 6세에서 만 8세로 확장하는 내용을 담고 있다"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:03.863147Z",
"start_time": "2020-06-08T00:03:02.775104Z"
}
},
"outputs": [],
"source": [
"import nltk"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**육아휴직 관련 법안 제 1809890호를 읽어오기**\n",
"\n",
"<참고>\n",
"- ```kolaw```: 한국 법률 말뭉치(corpus)\n",
" - \"constitution.txt\"\n",
"- ```kobill```: 대한민국 국회 의안 말뭉치(corpus)로, 파일 ID는 의안 번호를 의미한다\n",
" - \"1809890.txt - 1809899.txt\"\n",
"- ```fileids```: 말뭉치(corpus)에 있는 파일 ID 리스트"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:03.879149Z",
"start_time": "2020-06-08T00:03:03.863147Z"
}
},
"outputs": [],
"source": [
"from konlpy.corpus import kobill\n",
"\n",
"files_ko = kobill.fileids()\n",
"doc_ko = kobill.open('1809890.txt').read()"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:03.889121Z",
"start_time": "2020-06-08T00:03:03.882141Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"'지방공무원법 일부개정법률안\\n\\n(정의화의원 대표발의 )\\n\\n 의 안\\n 번 호\\n\\n9890\\n\\n발의연월일 : 2010. 11. 12. \\n\\n발 의 자 : 정의화․이명수․김을동 \\n\\n이사철․여상규․안규백\\n\\n황영철․박영아․김정훈\\n\\n김학송 의원(10인)\\n\\n제안이유 및 주요내용\\n\\n 초등학교 저학년의 경우에도 부모의 따뜻한 사랑과 보살핌이 필요\\n\\n한 나이이나, 현재 공무원이 자녀를 양육하기 위하여 육아휴직을 할 \\n\\n수 있는 자녀의 나이는 만 6세 이하로 되어 있어 초등학교 저학년인 \\n\\n자녀를 돌보기 위해서는 해당 부모님은 일자리를 그만 두어야 하고 \\n\\n이는 곧 출산의욕을 저하시키는 문제로 이어질 수 있을 것임.\\n\\n 따라서 육아휴직이 가능한 자녀의 연령을 만 8세 이하로 개정하려\\n\\n는 것임(안 제63조제2항제4호).\\n\\n- 1 -\\n\\n\\x0c법률 제 호\\n\\n지방공무원법 일부개정법률안\\n\\n지방공무원법 일부를 다음과 같이 개정한다.\\n\\n제63조제2항제4호 중 “만 6세 이하의 초등학교 취학 전 자녀를”을 “만 \\n\\n8세 이하(취학 중인 경우에는 초등학교 2학년 이하를 말한다)의 자녀를”\\n\\n로 한다.\\n\\n부 칙\\n\\n이 법은 공포한 날부터 시행한다.\\n\\n- 3 -\\n\\n\\x0c신 ·구조문대비표\\n\\n현 행\\n\\n개 정 안\\n\\n제63조(휴직) ① (생 략)\\n\\n제63조(휴직) ① (현행과 같음)\\n\\n ② 공무원이 다음 각 호의 어\\n\\n ② -------------------------\\n\\n느 하나에 해당하는 사유로 휴\\n\\n----------------------------\\n\\n직을 원하면 임용권자는 휴직\\n\\n----------------------------\\n\\n을 명할 수 있다. 다만, 제4호\\n\\n-------------.---------------\\n\\n의 경우에는 대통령령으로 정\\n\\n----------------------------\\n\\n하는 특별한 사정이 없으면 휴\\n\\n----------------------------\\n\\n직을 명하여야 한다.\\n\\n--------------.\\n\\n 1. ∼ 3. (생 략)\\n\\n 1. ∼ 3. (현행과 같음)\\n\\n 4. 만 6세 이하의 초등학교 취\\n\\n 4. 만 8세 이하(취학 중인 경우\\n\\n학 전 자녀를 양육하기 위하\\n\\n에는 초등학교 2학년 이하를 \\n\\n여 필요하거나 여자공무원이 \\n\\n말한다)의 자녀를 ----------\\n\\n임신 또는 출산하게 되었을 \\n\\n---------------------------\\n\\n때\\n\\n---------------------------\\n\\n 5.⋅6. (생 략)\\n\\n ③⋅④ (생 략)\\n\\n--------\\n\\n 5.⋅6. (현행과 같음)\\n\\n ③⋅④ (현행과 같음)\\n\\n- 5 -\\n\\n\\x0c지방공무원법 일부개정법률안 등 비용추계서 미첨부사유서\\n1. 재정수반요인\\n\\n개정안에서 ｢국가공무원법｣ 제71조제2항제4호 중 국가공무원의 육아\\n\\n휴직 가능 자녀의 연령을 만6세 이하에서 만8세 이하로 하고, ｢지방공\\n\\n무원법｣ 제63조제2항제4호 중 지방공무원의 육아휴직 가능 자녀의 연\\n\\n령을 만6세 이하에서 만8세 이하로 하고, ｢교육공무원법｣ 제44조제1항\\n\\n제7조 중 교육공무원의 육아휴직 가능 자녀의 연령을 만6세 이하에서 \\n\\n만8세 이하로 하고, ｢남녀고용평등과 일․가정 양립지원에 관한 법률｣ \\n\\n제19조제1항 중 근로자 육아휴직 가능 자녀연령을 만6세 이하에서 만\\n\\n8세 이하로 조정함에 따라 추가 재정소요가 예상됨.\\n\\n2. 미첨부 근거 규정\\n｢의안의 비용추계에 관한 규칙｣ 제3조제1항 단서 중 제1호(예상되는 비용이 연평균 10억원 미만\\n이거나 한시적인 경비로서 총 30억원 미만인 경우)에 해당함.\\n\\n3. 미첨부 사유\\n\\n개정안에서 국가․지방․교육공무원 및 근로자가 육아휴직을 신청할 \\n\\n수 있는 자녀의 연령을 만6세 이하에서 만8세 이하로 상향조정함에 \\n\\n따라 추가 재정소요가 예상된다. 동 법률 개정안이 2011년에 시행된다\\n\\n고 가정한 경우, 2010년 현재 자녀의 연령이 7세이고 육아휴직을 신청\\n\\n- 7 -\\n\\n\\x0c- 8 -\\n\\n하지 않은 국가․지방․교육공무원 및 근로자가 대상이 된다.\\n\\n대상연령의 확대됨에 따라 육아휴직신청자의 수가 어느 정도 늘어날 \\n\\n것으로 예상된다. 이 경우 발생하는 비용은 현행법에 따르면 월50만원\\n\\n이나 현재 관련법령 개정이 추진되고 있으며, 이에 따라 2011년에는 \\n\\n육아휴직자가 지급받는 월급여액에 비례하여 육아휴직급여가 지급되\\n\\n기 때문에 법령개정을 가정하고 추계한다. 이러한 경우 육아휴직급여\\n\\n액은 육아휴직자가 지급받는 월급여의 40%에 해당한다. 육아휴직자가 \\n\\n발생한 경우 발생하는 비용은 대체인력 고용인건비와 육아휴직자가 \\n\\n받는 월급여액의 40%이다. 이와 대비하여 육아휴직자에게 지급하던 \\n\\n임금은 더 이상 발생하지 않는다. 따라서 실제 발생하는 순비용은 육\\n\\n아휴직자에게 지급하던 월 급여액과 연령 확대에 따라 발생하는 비용\\n\\n인 육아휴직자가 받던 월급여액의 40%와 대체인력 고용인건비의 차\\n\\n액인데 이 값이 0보다 크면 추가 재정소요는 발생하지 않는다고 볼 \\n\\n수 있다.\\n\\n추가비용 발생여부를 정확하게 알아보기 위하여 비용에 대한 수리모\\n\\n델을 만들고 이에 따라 비용발생 여부를 알아보기로 하자. 모델에 사\\n\\n용되는 변수를 다음과 같이 정의한다.\\n\\n발생비용 : N×p×X + N×육아휴직급여액 - N×P\\n\\nN\\n\\nP\\n\\n: 육아휴직대상자의 수\\n\\n: 육아휴직대상자의 월급여액\\n\\n\\x0cp\\n\\nX\\n\\n: 육아휴직자가 발생한 경우 대체 고용할 확률\\n\\n: 대체 고용한 인력에게 지급하는 월급여액\\n\\n위의 수식에서 육아휴직급여액은 육아휴직자 월급여액의 40%까지 지\\n\\n급할 예정이므로 육아휴직급여액은 P×40%이다. 육아휴직자가 발생한 \\n\\n경우 대체 고용할 확률 p는 고용노동부의 육아휴직 관련 자료를 이용\\n\\n한다. 고용노동부에 따르면 2011년의 경우 육아휴직급여 대상자는 \\n\\n40,923명이며, 육아휴직에 따른 대체인력 고용 예상인원은 2,836명이\\n\\n다. 2007년부터 2011년까지의 현황을 정리하면 다음의 [표]와 같다.\\n\\n[표] 육아휴직급여 수급자의 수 및 대체인력 고용 현황: 2007~2011년\\n\\n(단위: 명, % )\\n\\n2007\\n\\n2008\\n\\n2009\\n\\n2010\\n\\n2011\\n\\n평균\\n\\n육아휴직급여 수급자(A)\\n\\n21,185\\n\\n29,145\\n\\n35,400\\n\\n41,291\\n\\n43,899\\n\\n34,184\\n\\n대체인력 채용(B)\\n\\n796\\n\\n1,658\\n\\n1,957\\n\\n2,396\\n\\n2,836\\n\\n1,929\\n\\n비 율(B/A)\\n\\n3.8\\n\\n5.7\\n\\n5.5\\n\\n5.8\\n\\n6.5\\n\\n5.6\\n\\n자료: 고용노동부 자료를 바탕으로 국회예산정책처 작성\\n\\n위의 [표]의 자료에 따라 육아휴직자가 발생한 경우 대체 고용할 확률 \\n\\np의 값은 5.6%라고 가정한다. 그리고 비용이 발생한다고 가정하여 위\\n\\n의 수식을 다시 작성하면 다음의 수식과 같다.\\n\\nN×p×X + N×육아휴직급여액 - N×P > 0\\n\\n(1)\\n\\n- 9 -\\n\\n\\x0c- 10 -\\n\\nN×5.6%×X + N×P×40% - N×P > 0\\n\\n0.056×X > 0.6P\\n\\nX > 10.7×P\\n\\n(2)\\n\\n(3)\\n\\n(5)\\n\\n위의 수식에 육아휴직자가 받는 월 급여액을 대입하여 대체고용인력\\n\\n자에게 지급하는 월 급여액을 추정하여 보자. 육아휴직자가 월 200만\\n\\n원을 받는다고 가정하면, 대체고용인력자에게 육아휴직자가 받는 월 \\n\\n급여액의 10.7배에 달하는 월 21,428,571원 이상을 지급해야 추가 비용\\n\\n이 발생한다. 대체고용인력자에게 육아휴직자보다 더 많은 월급여액을 \\n\\n주지는 않을 것이고 그리고 10여배 이상 월급을 주지도 않을 것이기 \\n\\n때문에 추가 비용이 발생한다고 보기 힘들다. 위의 수식에서 대체인력 \\n\\n고용확률 p를 20%로 가정하더라도(이 경우 X > 3×P) 200만원 받는 \\n\\n육아휴직자 대체인력에게 월 600만원 이상을 지급해야 추가 비용이 \\n\\n발생한다.\\n\\n행정안전부의 통계자료(행정안전부 통계연감)에서는 지방공무원의 육\\n\\n아휴직 현황자료를 보여주고 있다. 여기서 육아휴직자가 발생한 경우 \\n\\n대체인력을 주로 임용대기자 또는 일용직을 활용하는 것으로 보인다. \\n\\n따라서 공무원의 경우에도 [표]에서 보여주는 일반기업체의 대체인력 \\n\\n고용확률과 차이는 크지 않을 것으로 보인다.\\n\\n이상의 논의를 바탕으로 육아휴직기간을 만6에서 만8세로 연장하더라\\n\\n도 법률 개정에 따른 추가 비용은 발생하지 않을 것으로 예상된다.\\n\\n\\x0c4. 작성자\\n\\n국회예산정책처 법안비용추계1팀\\n\\n팀 장 정 문 종\\n\\n예산분석관 김 태 완\\n\\n(02-788-4649, tanzania@assembly.go.kr)\\n\\n- 11 -\\n\\n\\x0c'"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"doc_ko"
]
},
{
"cell_type": "markdown",
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-05T01:31:46.623665Z",
"start_time": "2020-06-05T01:31:46.617683Z"
}
},
"source": [
"**Twitter 분석기로 명사 분석을 수행**\n",
"- KoNLPy version 0.4.5.부터 ```Twitter``` 모듈이 ```Okt``` 모듈로 이름이 변경되었다"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:05.109857Z",
"start_time": "2020-06-08T00:03:03.892112Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"['지방공무원법',\n",
" '일부',\n",
" '개정',\n",
" '법률',\n",
" '안',\n",
" '정의화',\n",
" '의원',\n",
" '대표',\n",
" '발의',\n",
" '의',\n",
" '안',\n",
" '번',\n",
" '호',\n",
" '발의',\n",
" '연월일',\n",
" '발',\n",
" '의',\n",
" '자',\n",
" '정의화',\n",
" '이명수',\n",
" '김을동',\n",
" '이사철',\n",
" '여상규',\n",
" '안규백',\n",
" '황영철',\n",
" '박영아',\n",
" '김정훈',\n",
" '김학송',\n",
" '의원',\n",
" '인',\n",
" '제안',\n",
" '이유',\n",
" '및',\n",
" '내용',\n",
" '초등학교',\n",
" '저학년',\n",
" '경우',\n",
" '부모',\n",
" '사랑',\n",
" '필요',\n",
" '나이',\n",
" '현재',\n",
" '공무원',\n",
" '자녀',\n",
" '양육',\n",
" '위',\n",
" '육아휴직',\n",
" '수',\n",
" '자녀',\n",
" '나이',\n",
" '만',\n",
" '세',\n",
" '이하',\n",
" '초등학교',\n",
" '저학년',\n",
" '자녀',\n",
" '위',\n",
" '해당',\n",
" '부모님',\n",
" '일자리',\n",
" '곧',\n",
" '출산',\n",
" '의욕',\n",
" '저하',\n",
" '문제',\n",
" '수',\n",
" '것임',\n",
" '따라서',\n",
" '육아휴직',\n",
" '자녀',\n",
" '연령',\n",
" '만',\n",
" '세',\n",
" '이하',\n",
" '개정',\n",
" '것임',\n",
" '안',\n",
" '제',\n",
" '항제',\n",
" '호',\n",
" '법률',\n",
" '제',\n",
" '호',\n",
" '지방공무원법',\n",
" '일부',\n",
" '개정',\n",
" '법률',\n",
" '안',\n",
" '지방공무원법',\n",
" '일부',\n",
" '다음',\n",
" '개정',\n",
" '제',\n",
" '항제',\n",
" '호',\n",
" '중',\n",
" '만',\n",
" '세',\n",
" '이하',\n",
" '초등학교',\n",
" '취학',\n",
" '전',\n",
" '자녀',\n",
" '만',\n",
" '세',\n",
" '이하',\n",
" '취학',\n",
" '중인',\n",
" '경우',\n",
" '초등학교',\n",
" '학년',\n",
" '이하',\n",
" '말',\n",
" '의',\n",
" '자녀',\n",
" '로',\n",
" '부',\n",
" '칙',\n",
" '이',\n",
" '법',\n",
" '공포',\n",
" '날',\n",
" '시행',\n",
" '신',\n",
" '구조',\n",
" '문대비',\n",
" '표',\n",
" '현',\n",
" '행',\n",
" '개',\n",
" '정',\n",
" '안',\n",
" '제',\n",
" '휴직',\n",
" '생',\n",
" '략',\n",
" '제',\n",
" '휴직',\n",
" '현행',\n",
" '공무원',\n",
" '다음',\n",
" '각',\n",
" '호의',\n",
" '느',\n",
" '하나',\n",
" '해당',\n",
" '사유',\n",
" '직',\n",
" '임용',\n",
" '휴직',\n",
" '명',\n",
" '수',\n",
" '다만',\n",
" '제',\n",
" '호',\n",
" '의',\n",
" '경우',\n",
" '대통령령',\n",
" '정',\n",
" '사정',\n",
" '직',\n",
" '명',\n",
" '생',\n",
" '략',\n",
" '현행',\n",
" '만',\n",
" '세',\n",
" '이하',\n",
" '초등학교',\n",
" '취',\n",
" '만',\n",
" '세',\n",
" '이하',\n",
" '취학',\n",
" '중인',\n",
" '경우',\n",
" '학',\n",
" '전',\n",
" '자녀',\n",
" '양육',\n",
" '위',\n",
" '초등학교',\n",
" '학년',\n",
" '이하',\n",
" '여',\n",
" '여자',\n",
" '공무원',\n",
" '말',\n",
" '의',\n",
" '자녀',\n",
" '임신',\n",
" '출산',\n",
" '때',\n",
" '생',\n",
" '략',\n",
" '생',\n",
" '략',\n",
" '현행',\n",
" '현행',\n",
" '지방공무원법',\n",
" '일부',\n",
" '개정',\n",
" '법률',\n",
" '안',\n",
" '등',\n",
" '비용',\n",
" '추계',\n",
" '첨부',\n",
" '사유',\n",
" '재정',\n",
" '요인',\n",
" '개정안',\n",
" '국가공무원',\n",
" '법',\n",
" '제',\n",
" '항제',\n",
" '호',\n",
" '중',\n",
" '국가공무원',\n",
" '육아',\n",
" '휴직',\n",
" '가능',\n",
" '자녀',\n",
" '연령',\n",
" '만',\n",
" '세',\n",
" '이하',\n",
" '만',\n",
" '세',\n",
" '이하',\n",
" '방공',\n",
" '무',\n",
" '법',\n",
" '제',\n",
" '항제',\n",
" '호',\n",
" '중',\n",
" '지방',\n",
" '공무원',\n",
" '육아휴직',\n",
" '가능',\n",
" '자녀',\n",
" '연',\n",
" '령',\n",
" '만',\n",
" '세',\n",
" '이하',\n",
" '만',\n",
" '세',\n",
" '이하',\n",
" '교육',\n",
" '공무원',\n",
" '법',\n",
" '제',\n",
" '항',\n",
" '제',\n",
" '중',\n",
" '교육',\n",
" '공무원',\n",
" '육아휴직',\n",
" '가능',\n",
" '자녀',\n",
" '연령',\n",
" '만',\n",
" '세',\n",
" '이하',\n",
" '만',\n",
" '세',\n",
" '이하',\n",
" '남녀',\n",
" '고용',\n",
" '평등',\n",
" '일',\n",
" '가정',\n",
" '양립',\n",
" '지원',\n",
" '관',\n",
" '법률',\n",
" '제',\n",
" '항',\n",
" '중',\n",
" '근로자',\n",
" '육아휴직',\n",
" '가능',\n",
" '자녀',\n",
" '연령',\n",
" '만',\n",
" '세',\n",
" '이하',\n",
" '만',\n",
" '세',\n",
" '이하',\n",
" '조정',\n",
" '함',\n",
" '추가',\n",
" '재정',\n",
" '요가',\n",
" '예상',\n",
" '첨부',\n",
" '근거',\n",
" '규정',\n",
" '의안',\n",
" '비용',\n",
" '추계',\n",
" '관',\n",
" '규칙',\n",
" '제',\n",
" '항',\n",
" '단서',\n",
" '중',\n",
" '제',\n",
" '호',\n",
" '예상',\n",
" '비용',\n",
" '평균',\n",
" '미만',\n",
" '거나',\n",
" '한시',\n",
" '경비',\n",
" '로서',\n",
" '총',\n",
" '미만',\n",
" '경우',\n",
" '해당',\n",
" '함',\n",
" '첨부',\n",
" '사유',\n",
" '개정안',\n",
" '국가',\n",
" '지방',\n",
" '교육',\n",
" '공무원',\n",
" '및',\n",
" '근로자',\n",
" '육아휴직',\n",
" '신청',\n",
" '수',\n",
" '자녀',\n",
" '연령',\n",
" '만',\n",
" '세',\n",
" '이하',\n",
" '만',\n",
" '세',\n",
" '이하',\n",
" '상향',\n",
" '조정',\n",
" '함',\n",
" '추가',\n",
" '재정',\n",
" '요가',\n",
" '예상',\n",
" '법률',\n",
" '개정안',\n",
" '시행',\n",
" '고',\n",
" '가정',\n",
" '경우',\n",
" '현재',\n",
" '자녀',\n",
" '연령',\n",
" '세이',\n",
" '육아휴직',\n",
" '신청',\n",
" '국가',\n",
" '지방',\n",
" '교육',\n",
" '공무원',\n",
" '및',\n",
" '근로자',\n",
" '대상',\n",
" '대상',\n",
" '연령',\n",
" '확대',\n",
" '육아휴직',\n",
" '신청',\n",
" '수가',\n",
" '정도',\n",
" '것',\n",
" '예상',\n",
" '이',\n",
" '경우',\n",
" '발생',\n",
" '비용',\n",
" '현행법',\n",
" '월',\n",
" '이나',\n",
" '현재',\n",
" '관련',\n",
" '법령',\n",
" '개정',\n",
" '추진',\n",
" '이',\n",
" '육아휴직',\n",
" '지급',\n",
" '월급',\n",
" '액',\n",
" '비례',\n",
" '육아휴직',\n",
" '여가',\n",
" '지급',\n",
" '기',\n",
" '때문',\n",
" '법령',\n",
" '개정',\n",
" '가정',\n",
" '추계',\n",
" '경우',\n",
" '육아휴직',\n",
" '급여',\n",
" '액',\n",
" '육아휴직',\n",
" '지급',\n",
" '월급',\n",
" '여의',\n",
" '해당',\n",
" '육아휴직',\n",
" '발생',\n",
" '경우',\n",
" '발생',\n",
" '비용',\n",
" '체인',\n",
" '고용',\n",
" '인건비',\n",
" '육아휴직',\n",
" '월급',\n",
" '액',\n",
" '이',\n",
" '대비',\n",
" '육아휴직',\n",
" '지급',\n",
" '임금',\n",
" '더',\n",
" '이상',\n",
" '발생',\n",
" '따라서',\n",
" '실제',\n",
" '발생',\n",
" '비용',\n",
" '육',\n",
" '휴직',\n",
" '지급',\n",
" '월',\n",
" '급여',\n",
" '액',\n",
" '연령',\n",
" '확대',\n",
" '발생',\n",
" '비용',\n",
" '인',\n",
" '육아휴직',\n",
" '월급',\n",
" '액',\n",
" '체인',\n",
" '고용',\n",
" '인건비',\n",
" '차',\n",
" '액',\n",
" '이',\n",
" '값',\n",
" '추가',\n",
" '재정',\n",
" '소요',\n",
" '발생',\n",
" '볼',\n",
" '수',\n",
" '추가',\n",
" '비용',\n",
" '발생',\n",
" '여부',\n",
" '위',\n",
" '비용',\n",
" '대한',\n",
" '리모',\n",
" '델',\n",
" '이',\n",
" '비용',\n",
" '발생',\n",
" '여부',\n",
" '하자',\n",
" '모델',\n",
" '사',\n",
" '용',\n",
" '변수',\n",
" '다음',\n",
" '정의',\n",
" '발생',\n",
" '비용',\n",
" '육아휴직',\n",
" '액',\n",
" '육아휴직',\n",
" '대상자',\n",
" '수',\n",
" '육아휴직',\n",
" '대상자',\n",
" '월급',\n",
" '액',\n",
" '육아휴직',\n",
" '발생',\n",
" '경우',\n",
" '대체',\n",
" '고용',\n",
" '확률',\n",
" '대체',\n",
" '고용',\n",
" '인력',\n",
" '지급',\n",
" '월급',\n",
" '액',\n",
" '위',\n",
" '수식',\n",
" '육아휴직',\n",
" '액',\n",
" '육아휴직',\n",
" '월급',\n",
" '액',\n",
" '예정',\n",
" '므',\n",
" '육아휴직',\n",
" '액',\n",
" '육아휴직',\n",
" '발생',\n",
" '경우',\n",
" '대체',\n",
" '고용',\n",
" '확률',\n",
" '고용노동부',\n",
" '육아휴직',\n",
" '관련',\n",
" '자료',\n",
" '이용',\n",
" '고용노동부',\n",
" '경우',\n",
" '육아휴직',\n",
" '급여',\n",
" '대상자',\n",
" '명',\n",
" '육아휴직',\n",
" '체인',\n",
" '고용',\n",
" '상인',\n",
" '명',\n",
" '현황',\n",
" '정리',\n",
" '다음',\n",
" '표',\n",
" '표',\n",
" '육아휴직',\n",
" '급여',\n",
" '수급',\n",
" '수',\n",
" '및',\n",
" '체인',\n",
" '고용',\n",
" '현황',\n",
" '단위',\n",
" '명',\n",
" '평균',\n",
" '육아휴직',\n",
" '급여',\n",
" '수급',\n",
" '체인',\n",
" '채용',\n",
" '비',\n",
" '율',\n",
" '자료',\n",
" '고용노동부',\n",
" '자료',\n",
" '바탕',\n",
" '국회예산정책처',\n",
" '작성',\n",
" '위',\n",
" '표',\n",
" '의',\n",
" '자료',\n",
" '육아휴직',\n",
" '발생',\n",
" '경우',\n",
" '대체',\n",
" '고용',\n",
" '확률',\n",
" '의',\n",
" '값',\n",
" '가정',\n",
" '비용',\n",
" '발생',\n",
" '가정',\n",
" '위',\n",
" '의',\n",
" '수식',\n",
" '다시',\n",
" '작성',\n",
" '다음',\n",
" '수식',\n",
" '육아휴직',\n",
" '액',\n",
" '위',\n",
" '수식',\n",
" '육아휴직',\n",
" '월',\n",
" '급여',\n",
" '액',\n",
" '대입',\n",
" '대체',\n",
" '고용',\n",
" '인력',\n",
" '자',\n",
" '지급',\n",
" '월',\n",
" '급여',\n",
" '액',\n",
" '추정',\n",
" '육아휴직',\n",
" '월',\n",
" '원',\n",
" '가정',\n",
" '대체',\n",
" '고용',\n",
" '인력',\n",
" '육아휴직',\n",
" '월',\n",
" '급여',\n",
" '액',\n",
" '배',\n",
" '달',\n",
" '월',\n",
" '이상',\n",
" '지급',\n",
" '추가',\n",
" '비용',\n",
" '이',\n",
" '발생',\n",
" '대체',\n",
" '고용',\n",
" '인력',\n",
" '육아휴직',\n",
" '더',\n",
" '월급',\n",
" '액',\n",
" '주지',\n",
" '것',\n",
" '배',\n",
" '이상',\n",
" '월급',\n",
" '주지',\n",
" '것',\n",
" '이기',\n",
" '때문',\n",
" '추가',\n",
" '비용',\n",
" '발생',\n",
" '보기',\n",
" '위',\n",
" '수식',\n",
" '체인',\n",
" '고용',\n",
" '확률',\n",
" '를',\n",
" '로',\n",
" '가정',\n",
" '이',\n",
" '경우',\n",
" '육아휴직',\n",
" '체인',\n",
" '월',\n",
" '이상',\n",
" '지급',\n",
" '추가',\n",
" '비용',\n",
" '발생',\n",
" '행정안전부',\n",
" '통계',\n",
" '자료',\n",
" '행정안전부',\n",
" '통계',\n",
" '연감',\n",
" '지방',\n",
" '공무원',\n",
" '육',\n",
" '휴직',\n",
" '현황',\n",
" '자료',\n",
" '여기',\n",
" '육아휴직',\n",
" '발생',\n",
" '경우',\n",
" '체인',\n",
" '주로',\n",
" '임용',\n",
" '기자',\n",
" '일용직',\n",
" '활용',\n",
" '것',\n",
" '따라서',\n",
" '공무원',\n",
" '경우',\n",
" '표',\n",
" '기업체',\n",
" '체인',\n",
" '고용',\n",
" '확률',\n",
" '것',\n",
" '이상',\n",
" '논의',\n",
" '바탕',\n",
" '육아휴직',\n",
" '기간',\n",
" '만',\n",
" '만',\n",
" '세로',\n",
" '연장',\n",
" '도',\n",
" '법률',\n",
" '개정',\n",
" '추가',\n",
" '비용',\n",
" '발생',\n",
" '것',\n",
" '예상',\n",
" '작성자',\n",
" '국회예산정책처',\n",
" '법안',\n",
" '비용',\n",
" '추계',\n",
" '팀',\n",
" '팀',\n",
" '장',\n",
" '정',\n",
" '문',\n",
" '종',\n",
" '예산',\n",
" '분석관',\n",
" '김',\n",
" '태',\n",
" '완']"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from konlpy.tag import Okt\n",
"\n",
"t = Okt()\n",
"tokens_ko = t.nouns(doc_ko)\n",
"tokens_ko"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 수집된 단어의 횟수(**len(ko.tokens)**)와 고유한 횟수(**len(set(ko.tokens))**)를 확인해보겠다\n",
" - <참고> ```set()```은 중복된 값들은 제거시키고 출력해준다"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:05.117836Z",
"start_time": "2020-06-08T00:03:05.112849Z"
}
},
"outputs": [],
"source": [
"ko = nltk.Text(tokens_ko, name = '대한민국 국회 의안 제 1809890호')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**<참고>**\n",
"- ```FreqDist``` 클래스는 **문서에 사용된 단어(토큰)의 사용빈도** 정보를 담는 클래스이다\n",
"- ```Text``` 클래스의 ```vocab``` 메소드로 추출할 수 있다"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:05.136785Z",
"start_time": "2020-06-08T00:03:05.120827Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"735\n",
"250\n"
]
},
{
"data": {
"text/plain": [
"FreqDist({'육아휴직': 38, '발생': 19, '만': 18, '이하': 18, '비용': 17, '액': 17, '경우': 16, '세': 16, '자녀': 14, '고용': 14, ...})"
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"print(len(ko.tokens)) # 단어(토큰)의 개수를 반환 (즉, document length)\n",
"print(len(set(ko.tokens))) # 중복되지 않는 고유한 단어(토큰)의 개수를 반환\n",
"ko.vocab() # vocab: 문서에 사용된 단어(토큰)의 사용빈도"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- **사용빈도가 높은 단어 50개에 대해서 plot** 그려보면, '육아휴직'이라는 단어가 가장 사용빈도가 높다\n",
"- 그런데 plot을 그려서 확인해보니, 의미 없는 단어(불용어; Stopword)도 보인다\n",
" - 한글은 영어와 달리 ```stopwords```를 지정하기가 쉽지 않다\n",
" - 때문에 **case-by-case**로 지정해주겠다"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:06.528859Z",
"start_time": "2020-06-08T00:03:05.138780Z"
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 864x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize = (12, 6))\n",
"ko.plot(50) # 사용빈도가 높은 단어 50개에 대해서 plot 그리기\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:06.562494Z",
"start_time": "2020-06-08T00:03:06.531577Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"['지방공무원법',\n",
" '일부',\n",
" '개정',\n",
" '법률',\n",
" '정의화',\n",
" '의원',\n",
" '대표',\n",
" '발의',\n",
" '발의',\n",
" '연월일',\n",
" '발',\n",
" '정의화',\n",
" '이명수',\n",
" '김을동',\n",
" '이사철',\n",
" '여상규',\n",
" '안규백',\n",
" '황영철',\n",
" '박영아',\n",
" '김정훈',\n",
" '김학송',\n",
" '의원',\n",
" '인',\n",
" '제안',\n",
" '이유',\n",
" '및',\n",
" '내용',\n",
" '초등학교',\n",
" '저학년',\n",
" '경우',\n",
" '부모',\n",
" '사랑',\n",
" '필요',\n",
" '나이',\n",
" '현재',\n",
" '공무원',\n",
" '자녀',\n",
" '양육',\n",
" '위',\n",
" '육아휴직',\n",
" '수',\n",
" '자녀',\n",
" '나이',\n",
" '세',\n",
" '이하',\n",
" '초등학교',\n",
" '저학년',\n",
" '자녀',\n",
" '위',\n",
" '해당',\n",
" '부모님',\n",
" '일자리',\n",
" '곧',\n",
" '출산',\n",
" '의욕',\n",
" '저하',\n",
" '문제',\n",
" '수',\n",
" '것임',\n",
" '따라서',\n",
" '육아휴직',\n",
" '자녀',\n",
" '연령',\n",
" '세',\n",
" '이하',\n",
" '개정',\n",
" '것임',\n",
" '제',\n",
" '항제',\n",
" '법률',\n",
" '제',\n",
" '지방공무원법',\n",
" '일부',\n",
" '개정',\n",
" '법률',\n",
" '지방공무원법',\n",
" '일부',\n",
" '다음',\n",
" '개정',\n",
" '제',\n",
" '항제',\n",
" '중',\n",
" '세',\n",
" '이하',\n",
" '초등학교',\n",
" '취학',\n",
" '전',\n",
" '자녀',\n",
" '세',\n",
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" '비례',\n",
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" '경우',\n",
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" '비용',\n",
" '체인',\n",
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" '인건비',\n",
" '육아휴직',\n",
" '월급',\n",
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" '대비',\n",
" '육아휴직',\n",
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" '더',\n",
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" '발생',\n",
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" '인',\n",
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" '값',\n",
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" '비용',\n",
" '대한',\n",
" '리모',\n",
" '델',\n",
" '비용',\n",
" '발생',\n",
" '여부',\n",
" '하자',\n",
" '모델',\n",
" '사',\n",
" '용',\n",
" '변수',\n",
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" '정의',\n",
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" '육아휴직',\n",
" '액',\n",
" '육아휴직',\n",
" '대상자',\n",
" '수',\n",
" '육아휴직',\n",
" '대상자',\n",
" '월급',\n",
" '액',\n",
" '육아휴직',\n",
" '발생',\n",
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" '대체',\n",
" '고용',\n",
" '확률',\n",
" '대체',\n",
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" '인력',\n",
" '지급',\n",
" '월급',\n",
" '액',\n",
" '위',\n",
" '수식',\n",
" '육아휴직',\n",
" '액',\n",
" '육아휴직',\n",
" '월급',\n",
" '액',\n",
" '예정',\n",
" '므',\n",
" '육아휴직',\n",
" '액',\n",
" '육아휴직',\n",
" '발생',\n",
" '경우',\n",
" '대체',\n",
" '고용',\n",
" '확률',\n",
" '고용노동부',\n",
" '육아휴직',\n",
" '관련',\n",
" '자료',\n",
" '이용',\n",
" '고용노동부',\n",
" '경우',\n",
" '육아휴직',\n",
" '급여',\n",
" '대상자',\n",
" '명',\n",
" '육아휴직',\n",
" '체인',\n",
" '고용',\n",
" '상인',\n",
" '명',\n",
" '현황',\n",
" '정리',\n",
" '다음',\n",
" '표',\n",
" '표',\n",
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" '수급',\n",
" '수',\n",
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" '현황',\n",
" '단위',\n",
" '명',\n",
" '평균',\n",
" '육아휴직',\n",
" '급여',\n",
" '수급',\n",
" '체인',\n",
" '채용',\n",
" '비',\n",
" '율',\n",
" '자료',\n",
" '고용노동부',\n",
" '자료',\n",
" '바탕',\n",
" '국회예산정책처',\n",
" '작성',\n",
" '위',\n",
" '표',\n",
" '자료',\n",
" '육아휴직',\n",
" '발생',\n",
" '경우',\n",
" '대체',\n",
" '고용',\n",
" '확률',\n",
" '값',\n",
" '가정',\n",
" '비용',\n",
" '발생',\n",
" '가정',\n",
" '위',\n",
" '수식',\n",
" '다시',\n",
" '작성',\n",
" '다음',\n",
" '수식',\n",
" '육아휴직',\n",
" '액',\n",
" '위',\n",
" '수식',\n",
" '육아휴직',\n",
" '월',\n",
" '급여',\n",
" '액',\n",
" '대입',\n",
" '대체',\n",
" '고용',\n",
" '인력',\n",
" '지급',\n",
" '월',\n",
" '급여',\n",
" '액',\n",
" '추정',\n",
" '육아휴직',\n",
" '월',\n",
" '원',\n",
" '가정',\n",
" '대체',\n",
" '고용',\n",
" '인력',\n",
" '육아휴직',\n",
" '월',\n",
" '급여',\n",
" '액',\n",
" '배',\n",
" '달',\n",
" '월',\n",
" '이상',\n",
" '지급',\n",
" '추가',\n",
" '비용',\n",
" '발생',\n",
" '대체',\n",
" '고용',\n",
" '인력',\n",
" '육아휴직',\n",
" '더',\n",
" '월급',\n",
" '액',\n",
" '주지',\n",
" '것',\n",
" '배',\n",
" '이상',\n",
" '월급',\n",
" '주지',\n",
" '것',\n",
" '이기',\n",
" '때문',\n",
" '추가',\n",
" '비용',\n",
" '발생',\n",
" '보기',\n",
" '위',\n",
" '수식',\n",
" '체인',\n",
" '고용',\n",
" '확률',\n",
" '가정',\n",
" '경우',\n",
" '육아휴직',\n",
" '체인',\n",
" '월',\n",
" '이상',\n",
" '지급',\n",
" '추가',\n",
" '비용',\n",
" '발생',\n",
" '행정안전부',\n",
" '통계',\n",
" '자료',\n",
" '행정안전부',\n",
" '통계',\n",
" '연감',\n",
" '지방',\n",
" '공무원',\n",
" '육',\n",
" '휴직',\n",
" '현황',\n",
" '자료',\n",
" '여기',\n",
" '육아휴직',\n",
" '발생',\n",
" '경우',\n",
" '체인',\n",
" '주로',\n",
" '임용',\n",
" '기자',\n",
" '일용직',\n",
" '활용',\n",
" '것',\n",
" '따라서',\n",
" '공무원',\n",
" '경우',\n",
" '표',\n",
" '기업체',\n",
" '체인',\n",
" '고용',\n",
" '확률',\n",
" '것',\n",
" '이상',\n",
" '논의',\n",
" '바탕',\n",
" '육아휴직',\n",
" '기간',\n",
" '세로',\n",
" '연장',\n",
" '도',\n",
" '법률',\n",
" '개정',\n",
" '추가',\n",
" '비용',\n",
" '발생',\n",
" '것',\n",
" '예상',\n",
" '작성자',\n",
" '국회예산정책처',\n",
" '법안',\n",
" '비용',\n",
" '추계',\n",
" '팀',\n",
" '팀',\n",
" '장',\n",
" '정',\n",
" '문',\n",
" '종',\n",
" '예산',\n",
" '분석관',\n",
" '김',\n",
" '태',\n",
" '완']"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 불용어(stopword)들을 case-by-case로 지정\n",
"stop_words = ['.', '(', ')', ',', \"'\", '%', '-', 'X', ').', '×',\n",
" '의', '자', '에', '안', '번', '호', '을', '이', '다', '만', '로', '가', '를']\n",
"\n",
"# 불용어(stopword)를 제외한 단어들로 재구성\n",
"ko = [each_word for each_word in ko if each_word not in stop_words]\n",
"ko"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 불용어(stopword)를 제거하고 plot을 다시 그려보았다"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:07.158304Z",
"start_time": "2020-06-08T00:03:06.565486Z"
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 864x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"ko = nltk.Text(ko, name = '대한민국 국회 의안 제 1809890호')\n",
"\n",
"plt.figure(figsize = (12, 6))\n",
"ko.plot(50)\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 아래와 같이 ```count``` 메소드로 특정 단어가 문서 내에서 몇 번 언급되었는지 확인할 수 있다"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:07.167278Z",
"start_time": "2020-06-08T00:03:07.160297Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"6"
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ko.count('초등학교')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- ```dispersion_plot``` 메소드로 **단어가 사용된 위치를 시각화** 할 수도 있다"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:07.356774Z",
"start_time": "2020-06-08T00:03:07.170270Z"
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 864x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize = (12, 6))\n",
"ko.dispersion_plot(['육아휴직', '초등학교', '공무원'])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 또한 ```concordance``` 메소드로 다음과 같이 원하는 단어의 문서 내 위치를 개략적으로 그 분량과 함께 알 수도 있다\n",
" - 단어가 사용된 위치를 직접 표시하면, **\"문맥(context)\"**이 어떤지 확인할 수 있다\n",
" - 여기서 **\"문맥(context)\"**이란 해당 단어의 앞/뒤에 사용된 단어를 의미한다\n",
" - 즉, 원하는 단어의 주변부 단어까지 같이 확인이 가능하다"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:07.365749Z",
"start_time": "2020-06-08T00:03:07.358767Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Displaying 6 of 6 matches:\n",
" 안규백 황영철 박영아 김정훈 김학송 의원 인 제안 이유 및 내용 초등학교 저학년 경우 부모 사랑 필요 나이 현재 공무원 자녀 양육 위 육아\n",
" 나이 현재 공무원 자녀 양육 위 육아휴직 수 자녀 나이 세 이하 초등학교 저학년 자녀 위 해당 부모님 일자리 곧 출산 의욕 저하 문제 수 \n",
"일부 개정 법률 지방공무원법 일부 다음 개정 제 항제 중 세 이하 초등학교 취학 전 자녀 세 이하 취학 중인 경우 초등학교 학년 이하 말 자\n",
"항제 중 세 이하 초등학교 취학 전 자녀 세 이하 취학 중인 경우 초등학교 학년 이하 말 자녀 부 칙 법 공포 날 시행 신 구조 문대비 표 \n",
" 수 다만 제 경우 대통령령 정 사정 직 명 생 략 현행 세 이하 초등학교 취 세 이하 취학 중인 경우 학 전 자녀 양육 위 초등학교 학년 \n",
" 이하 초등학교 취 세 이하 취학 중인 경우 학 전 자녀 양육 위 초등학교 학년 이하 여 여자 공무원 말 자녀 임신 출산 때 생 략 생 략 \n"
]
}
],
"source": [
"ko.concordance('초등학교')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 문서 내에서 어떤 단어들이 연어(collocation)로 사용되었는지도 알 수 있다\n",
" - ***연어(collocation)***: **두 개 이상의 단어가 결합하여 의미적으로 하나의 단위를 이루는 말**\n",
" - ex) 분위기에 **취하다**, 피곤을 **말끔히** 씻어내다, **탁월한** 유머감각, **기발한** 생각, **완연한** 가을 날씨, **고즈넉한** 시골 풍경, 베일을 **벗기다**"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:07.380713Z",
"start_time": "2020-06-08T00:03:07.368740Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"초등학교 저학년; 근로자 육아휴직; 육아휴직 대상자; 공무원 육아휴직\n"
]
}
],
"source": [
"ko.collocations()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**이제 앞서 학습한 \"워드 클라우드\"를 적용해보겠다**\n",
"- **한글 폰트**에 대해 별도로 **지정이 필요**하다\n",
" - **Window 10**인 경우, **font_path = \"c:/Windows/Fonts/malgun.ttf\"**라고 지정해준다\n",
" - **Mac OS**인 경우, **font_path = \"/Library/Fonts/AppleGothic.ttf\"** 라고 지정해주면 된다\n",
" \n",
"**<참고>**\n",
"- ```most_common``` 메소드를 사용하면, 가장 출현 횟수가 높은 단어를 찾아준다"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:08.101140Z",
"start_time": "2020-06-08T00:03:07.382702Z"
}
},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 864x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"data = ko.vocab().most_common(150) # 출현 횟수가 높은 상위 150개의 단어들\n",
"\n",
"wordcloud = WordCloud(font_path = \"c:/Windows/Fonts/malgun.ttf\",\n",
" relative_scaling = 0.2,\n",
" background_color = 'white',\n",
" ).generate_from_frequencies(dict(data))\n",
"\n",
"plt.figure(figsize = (12, 8))\n",
"plt.imshow(wordcloud)\n",
"plt.axis('off')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**<참고>**\n",
"\n",
"**Naive Bayes Classifier에 대한 개념**\n",
"- https://ratsgo.github.io/machine%20learning/2017/05/18/naive/"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Naive Bayes Classifier의 이해 - 영문\n",
"- **지도학습**의 한 종류인 \"***나이브 베이즈***\" 분류기를 **영문으로 된 문서**에 적용해보는 예제를 수행해보겠다"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:08.109117Z",
"start_time": "2020-06-08T00:03:08.104131Z"
}
},
"outputs": [],
"source": [
"from nltk.tokenize import word_tokenize\n",
"import nltk"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:08.118093Z",
"start_time": "2020-06-08T00:03:08.112110Z"
}
},
"outputs": [],
"source": [
"# 연습용 데이터 생성\n",
"train = [('i like you', 'pos'),\n",
" ('i hate you', 'neg'),\n",
" ('you like me', 'neg'),\n",
" ('i like her', 'pos')]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 연습용(train)으로 생성한 4개의 문장에서 사용된 전체 단어를 찾기\n",
" - 찾은 단어들을 '말뭉치(corpus)'라고 하겠다"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:08.153011Z",
"start_time": "2020-06-08T00:03:08.121086Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"{'hate', 'her', 'i', 'like', 'me', 'you'}"
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# set()을 사용하여 중복된 값들은 하나만 출력하도록!\n",
"all_words = set(word.lower() for sentence in train\n",
" for word in word_tokenize(sentence[0]))\n",
"all_words"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 위에서 만들어진 '말뭉치'를 기준으로 train 문장에 속한 단어인지 아닌지를 기록\n",
" - 즉, train의 첫 문장인 'i like you'의 경우 말뭉치 단어 [hate, her, i, like, me, you]를 기준으로 해당 단어가 있는지 없는지를 기록해둔 것이다\n",
" - 아래 **코드의 결과 첫 부분을 해석**해보면, train 문장의 첫 문장에는 **\"hate, me, her\"**은 **없고(False)** **\"i, you, like\"**는 **있다(True)**는 뜻이다 "
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:08.167959Z",
"start_time": "2020-06-08T00:03:08.155993Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"[({'like': True,\n",
" 'i': True,\n",
" 'hate': False,\n",
" 'me': False,\n",
" 'her': False,\n",
" 'you': True},\n",
" 'pos'),\n",
" ({'like': False,\n",
" 'i': True,\n",
" 'hate': True,\n",
" 'me': False,\n",
" 'her': False,\n",
" 'you': True},\n",
" 'neg'),\n",
" ({'like': True,\n",
" 'i': False,\n",
" 'hate': False,\n",
" 'me': True,\n",
" 'her': False,\n",
" 'you': True},\n",
" 'neg'),\n",
" ({'like': True,\n",
" 'i': True,\n",
" 'hate': False,\n",
" 'me': False,\n",
" 'her': True,\n",
" 'you': False},\n",
" 'pos')]"
]
},
"execution_count": 41,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"t = [({word: (word in word_tokenize(x[0])) for word in all_words}, x[1])\n",
" for x in train]\n",
"t"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 이제 Naive Bayes 분류기를 동작시켜 보겠다\n",
" - train 문장에 붙은 긍정(pos)/부정(neg) 태그를 이용해서 분류를 수행했다\n",
" - **'hate'라는 단어가 없을 때(False), 긍정(pos)일 비율이 1.7:1**이라는 의미이다\n",
" - **'like'라는 단어가 총 3번 사용**되었고, **그 중 2개의 문장이 긍정(pos)**의 의미였다\n",
" - 때문에 **'like'가 있을 때(True), 긍정(pos)일 비율이 1.7:1**이다"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:08.175940Z",
"start_time": "2020-06-08T00:03:08.169955Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Most Informative Features\n",
" hate = False pos : neg = 1.7 : 1.0\n",
" her = False neg : pos = 1.7 : 1.0\n",
" i = True pos : neg = 1.7 : 1.0\n",
" like = True pos : neg = 1.7 : 1.0\n",
" me = False pos : neg = 1.7 : 1.0\n",
" you = True neg : pos = 1.7 : 1.0\n"
]
}
],
"source": [
"classifier = nltk.NaiveBayesClassifier.train(t)\n",
"classifier.show_most_informative_features()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 이번에는 테스트 문장(test_sentence)을 **'i like MeRui'**로 만들어서 Naive Bayes 분류기를 통과시켜 보겠다\n",
" - **긍정(pos)**이라는 결과가 나왔다"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:08.771346Z",
"start_time": "2020-06-08T00:03:08.178932Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"{'like': True,\n",
" 'i': True,\n",
" 'hate': False,\n",
" 'me': False,\n",
" 'her': False,\n",
" 'you': False}"
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"test_sentence = 'i like MeRui'\n",
"test_sent_features = {word.lower(): (word in word_tokenize(test_sentence.lower()))\n",
" for word in all_words}\n",
"test_sent_features"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:08.783314Z",
"start_time": "2020-06-08T00:03:08.773342Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"'pos'"
]
},
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"classifier.classify(test_sent_features)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Naive Bayes Classifier의 이해 - 한글\n",
"- **지도학습**의 한 종류인 \"***나이브 베이즈***\" 분류기를 **한글로 된 문서**에 적용해보는 예제를 수행해보겠다\n",
"- **한글**에서는 **형태소 분석**을 수행해주어야 한다!!"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:08.790297Z",
"start_time": "2020-06-08T00:03:08.785309Z"
}
},
"outputs": [],
"source": [
"from konlpy.tag import Okt"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:08.799271Z",
"start_time": "2020-06-08T00:03:08.793288Z"
}
},
"outputs": [],
"source": [
"pos_tagger = Okt()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 먼저 **형태소 분석을 수행하지 않은 경우**, 어떤 일이 발생하는지 눈으로 확인해보자!"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:08.807252Z",
"start_time": "2020-06-08T00:03:08.802264Z"
}
},
"outputs": [],
"source": [
"train = [('메리가 좋아', 'pos'), \n",
" ('고양이도 좋아', 'pos'),\n",
" ('난 수업이 지루해', 'neg'),\n",
" ('메리는 이쁜 고양이야', 'pos'),\n",
" ('난 마치고 메리랑 놀거야', 'pos')]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 결과를 보면 '고양이도'와 '고양이야', '메리가'와 '메리는'이 다른 단어로 잡힌 것을 볼 수 있다 (이렇게 되면 안된다!!)"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:08.819219Z",
"start_time": "2020-06-08T00:03:08.809245Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"{'고양이도',\n",
" '고양이야',\n",
" '난',\n",
" '놀거야',\n",
" '마치고',\n",
" '메리가',\n",
" '메리는',\n",
" '메리랑',\n",
" '수업이',\n",
" '이쁜',\n",
" '좋아',\n",
" '지루해'}"
]
},
"execution_count": 48,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"all_words = set(word.lower() for sentence in train\n",
" for word in word_tokenize(sentence[0]))\n",
"all_words"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:08.840162Z",
"start_time": "2020-06-08T00:03:08.821213Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"[({'고양이야': False,\n",
" '메리는': False,\n",
" '메리가': True,\n",
" '마치고': False,\n",
" '메리랑': False,\n",
" '놀거야': False,\n",
" '좋아': True,\n",
" '난': False,\n",
" '수업이': False,\n",
" '지루해': False,\n",
" '고양이도': False,\n",
" '이쁜': False},\n",
" 'pos'),\n",
" ({'고양이야': False,\n",
" '메리는': False,\n",
" '메리가': False,\n",
" '마치고': False,\n",
" '메리랑': False,\n",
" '놀거야': False,\n",
" '좋아': True,\n",
" '난': False,\n",
" '수업이': False,\n",
" '지루해': False,\n",
" '고양이도': True,\n",
" '이쁜': False},\n",
" 'pos'),\n",
" ({'고양이야': False,\n",
" '메리는': False,\n",
" '메리가': False,\n",
" '마치고': False,\n",
" '메리랑': False,\n",
" '놀거야': False,\n",
" '좋아': False,\n",
" '난': True,\n",
" '수업이': True,\n",
" '지루해': True,\n",
" '고양이도': False,\n",
" '이쁜': False},\n",
" 'neg'),\n",
" ({'고양이야': True,\n",
" '메리는': True,\n",
" '메리가': False,\n",
" '마치고': False,\n",
" '메리랑': False,\n",
" '놀거야': False,\n",
" '좋아': False,\n",
" '난': False,\n",
" '수업이': False,\n",
" '지루해': False,\n",
" '고양이도': False,\n",
" '이쁜': True},\n",
" 'pos'),\n",
" ({'고양이야': False,\n",
" '메리는': False,\n",
" '메리가': False,\n",
" '마치고': True,\n",
" '메리랑': True,\n",
" '놀거야': True,\n",
" '좋아': False,\n",
" '난': True,\n",
" '수업이': False,\n",
" '지루해': False,\n",
" '고양이도': False,\n",
" '이쁜': False},\n",
" 'pos')]"
]
},
"execution_count": 49,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"t = [({word: (word in word_tokenize(x[0])) for word in all_words}, x[1])\n",
" for x in train]\n",
"t"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 때문에 최종적으로 Naive Bayes 분류기를 통과시켰을 때, 잘 작동한다고 보장하기 어렵다"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:08.849138Z",
"start_time": "2020-06-08T00:03:08.843156Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Most Informative Features\n",
" 난 = True neg : pos = 2.5 : 1.0\n",
" 좋아 = False neg : pos = 1.5 : 1.0\n",
" 고양이도 = False neg : pos = 1.1 : 1.0\n",
" 고양이야 = False neg : pos = 1.1 : 1.0\n",
" 놀거야 = False neg : pos = 1.1 : 1.0\n",
" 마치고 = False neg : pos = 1.1 : 1.0\n",
" 메리가 = False neg : pos = 1.1 : 1.0\n",
" 메리는 = False neg : pos = 1.1 : 1.0\n",
" 메리랑 = False neg : pos = 1.1 : 1.0\n",
" 이쁜 = False neg : pos = 1.1 : 1.0\n"
]
}
],
"source": [
"classifier = nltk.NaiveBayesClassifier.train(t)\n",
"classifier.show_most_informative_features()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 예시로 아래와 같은 테스트 문장을 Naive Bayes 분류기에 적용해보겠다\n",
" - 테스트 문장을 읽어보면, **긍정적(pos) 결과가 나와야 할 것이라는 생각을 할 것**이다\n",
" - 하지만 Naive Bayes 분류기에 적용해보면, **부정적(neg) 결과가 나옴**을 확인할 수 있다"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:08.857117Z",
"start_time": "2020-06-08T00:03:08.852131Z"
}
},
"outputs": [],
"source": [
"test_sentence = '난 수업이 마치면 메리랑 놀거야'"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:08.873074Z",
"start_time": "2020-06-08T00:03:08.860110Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"{'고양이야': False,\n",
" '메리는': False,\n",
" '메리가': False,\n",
" '마치고': False,\n",
" '메리랑': True,\n",
" '놀거야': True,\n",
" '좋아': False,\n",
" '난': True,\n",
" '수업이': True,\n",
" '지루해': False,\n",
" '고양이도': False,\n",
" '이쁜': False}"
]
},
"execution_count": 52,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"test_sent_features = {word.lower(): (word in word_tokenize(test_sentence.lower()))\n",
" for word in all_words}\n",
"test_sent_features"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:08.884045Z",
"start_time": "2020-06-08T00:03:08.876066Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"'neg'"
]
},
"execution_count": 53,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"classifier.classify(test_sent_features)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**위처럼 한글 문서의 경우, \"형태소 분석\"을 수행하지 않으면 Naive Bayes 분류기가 제대로 작동하지 못한다**\n",
"- 결국 한글을 다룰 때는 \"***형태소 분석***\"이 필요하다!!"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- ```tokenize()``` 함수를 생성하고, train 문장을 분석"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:08.893021Z",
"start_time": "2020-06-08T00:03:08.887038Z"
}
},
"outputs": [],
"source": [
"def tokenize(doc):\n",
" return ['/'.join(t) for t in pos_tagger.pos(doc, norm = True, stem = True)]"
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:08.959844Z",
"start_time": "2020-06-08T00:03:08.900002Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"[(['메리/Noun', '가/Josa', '좋다/Adjective'], 'pos'),\n",
" (['고양이/Noun', '도/Josa', '좋다/Adjective'], 'pos'),\n",
" (['난/Noun', '수업/Noun', '이/Josa', '지루하다/Adjective'], 'neg'),\n",
" (['메리/Noun', '는/Josa', '이쁘다/Adjective', '고양이/Noun', '야/Josa'], 'pos'),\n",
" (['난/Noun', '마치/Noun', '고/Josa', '메리/Noun', '랑/Josa', '놀다/Verb'], 'pos')]"
]
},
"execution_count": 55,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"train_docs = [(tokenize(row[0]), row[1]) for row in train]\n",
"train_docs"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 전체 **'말뭉치'** 만들기"
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:08.970813Z",
"start_time": "2020-06-08T00:03:08.962835Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"['메리/Noun',\n",
" '가/Josa',\n",
" '좋다/Adjective',\n",
" '고양이/Noun',\n",
" '도/Josa',\n",
" '좋다/Adjective',\n",
" '난/Noun',\n",
" '수업/Noun',\n",
" '이/Josa',\n",
" '지루하다/Adjective',\n",
" '메리/Noun',\n",
" '는/Josa',\n",
" '이쁘다/Adjective',\n",
" '고양이/Noun',\n",
" '야/Josa',\n",
" '난/Noun',\n",
" '마치/Noun',\n",
" '고/Josa',\n",
" '메리/Noun',\n",
" '랑/Josa',\n",
" '놀다/Verb']"
]
},
"execution_count": 56,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tokens = [t for d in train_docs for t in d[0]]\n",
"tokens"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- **말뭉치에 있는 단어가 있는지 아닌지를 구분**하는 ```term_exists()``` 함수를 생성하고, train 문장에 적용해보겠다\n",
" - 조사(Josa)인지 명사(Noun)인지 구분이 잘 되어 있어서 판독하기 좋다"
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:08.980787Z",
"start_time": "2020-06-08T00:03:08.974803Z"
}
},
"outputs": [],
"source": [
"def term_exists(doc):\n",
" return {word: (word in set(doc)) for word in tokens}"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:08.995746Z",
"start_time": "2020-06-08T00:03:08.983778Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"[({'메리/Noun': True,\n",
" '가/Josa': True,\n",
" '좋다/Adjective': True,\n",
" '고양이/Noun': False,\n",
" '도/Josa': False,\n",
" '난/Noun': False,\n",
" '수업/Noun': False,\n",
" '이/Josa': False,\n",
" '지루하다/Adjective': False,\n",
" '는/Josa': False,\n",
" '이쁘다/Adjective': False,\n",
" '야/Josa': False,\n",
" '마치/Noun': False,\n",
" '고/Josa': False,\n",
" '랑/Josa': False,\n",
" '놀다/Verb': False},\n",
" 'pos'),\n",
" ({'메리/Noun': False,\n",
" '가/Josa': False,\n",
" '좋다/Adjective': True,\n",
" '고양이/Noun': True,\n",
" '도/Josa': True,\n",
" '난/Noun': False,\n",
" '수업/Noun': False,\n",
" '이/Josa': False,\n",
" '지루하다/Adjective': False,\n",
" '는/Josa': False,\n",
" '이쁘다/Adjective': False,\n",
" '야/Josa': False,\n",
" '마치/Noun': False,\n",
" '고/Josa': False,\n",
" '랑/Josa': False,\n",
" '놀다/Verb': False},\n",
" 'pos'),\n",
" ({'메리/Noun': False,\n",
" '가/Josa': False,\n",
" '좋다/Adjective': False,\n",
" '고양이/Noun': False,\n",
" '도/Josa': False,\n",
" '난/Noun': True,\n",
" '수업/Noun': True,\n",
" '이/Josa': True,\n",
" '지루하다/Adjective': True,\n",
" '는/Josa': False,\n",
" '이쁘다/Adjective': False,\n",
" '야/Josa': False,\n",
" '마치/Noun': False,\n",
" '고/Josa': False,\n",
" '랑/Josa': False,\n",
" '놀다/Verb': False},\n",
" 'neg'),\n",
" ({'메리/Noun': True,\n",
" '가/Josa': False,\n",
" '좋다/Adjective': False,\n",
" '고양이/Noun': True,\n",
" '도/Josa': False,\n",
" '난/Noun': False,\n",
" '수업/Noun': False,\n",
" '이/Josa': False,\n",
" '지루하다/Adjective': False,\n",
" '는/Josa': True,\n",
" '이쁘다/Adjective': True,\n",
" '야/Josa': True,\n",
" '마치/Noun': False,\n",
" '고/Josa': False,\n",
" '랑/Josa': False,\n",
" '놀다/Verb': False},\n",
" 'pos'),\n",
" ({'메리/Noun': True,\n",
" '가/Josa': False,\n",
" '좋다/Adjective': False,\n",
" '고양이/Noun': False,\n",
" '도/Josa': False,\n",
" '난/Noun': True,\n",
" '수업/Noun': False,\n",
" '이/Josa': False,\n",
" '지루하다/Adjective': False,\n",
" '는/Josa': False,\n",
" '이쁘다/Adjective': False,\n",
" '야/Josa': False,\n",
" '마치/Noun': True,\n",
" '고/Josa': True,\n",
" '랑/Josa': True,\n",
" '놀다/Verb': True},\n",
" 'pos')]"
]
},
"execution_count": 58,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"train_xy = [(term_exists(d), c) for d, c in train_docs]\n",
"train_xy"
]
},
{
"cell_type": "markdown",
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-05T05:55:12.221753Z",
"start_time": "2020-06-05T05:55:12.215769Z"
}
},
"source": [
"- 이제 **Naive Bayes 분류기를 작동**시켜 보겠다\n",
" - \"형태소 분석\"을 안 했을 때, 부정적(neg) 결과가 나왔던 문장을 다시 테스트 문장으로 사용하겠다"
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.006717Z",
"start_time": "2020-06-08T00:03:08.998739Z"
}
},
"outputs": [],
"source": [
"classifier = nltk.NaiveBayesClassifier.train(train_xy)"
]
},
{
"cell_type": "code",
"execution_count": 60,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.023672Z",
"start_time": "2020-06-08T00:03:09.019684Z"
}
},
"outputs": [],
"source": [
"test_sentence = [(\"난 수업이 마치면 메리랑 놀거야\")]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- **\"형태소 분석\"**을 진행해주겠다"
]
},
{
"cell_type": "code",
"execution_count": 61,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.043620Z",
"start_time": "2020-06-08T00:03:09.026665Z"
},
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"[('난', 'Noun'),\n",
" ('수업', 'Noun'),\n",
" ('이', 'Josa'),\n",
" ('마치', 'Noun'),\n",
" ('면', 'Josa'),\n",
" ('메리', 'Noun'),\n",
" ('랑', 'Josa'),\n",
" ('놀거야', 'Verb')]"
]
},
"execution_count": 61,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"test_docs = pos_tagger.pos(test_sentence[0])\n",
"test_docs"
]
},
{
"cell_type": "code",
"execution_count": 62,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.057581Z",
"start_time": "2020-06-08T00:03:09.047609Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Most Informative Features\n",
" 난/Noun = True neg : pos = 2.5 : 1.0\n",
" 메리/Noun = False neg : pos = 2.5 : 1.0\n",
" 고양이/Noun = False neg : pos = 1.5 : 1.0\n",
" 좋다/Adjective = False neg : pos = 1.5 : 1.0\n",
" 가/Josa = False neg : pos = 1.1 : 1.0\n",
" 고/Josa = False neg : pos = 1.1 : 1.0\n",
" 놀다/Verb = False neg : pos = 1.1 : 1.0\n",
" 는/Josa = False neg : pos = 1.1 : 1.0\n",
" 도/Josa = False neg : pos = 1.1 : 1.0\n",
" 랑/Josa = False neg : pos = 1.1 : 1.0\n"
]
}
],
"source": [
"classifier.show_most_informative_features()"
]
},
{
"cell_type": "code",
"execution_count": 63,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.071545Z",
"start_time": "2020-06-08T00:03:09.061571Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"{('난', 'Noun'): False,\n",
" ('수업', 'Noun'): False,\n",
" ('이', 'Josa'): False,\n",
" ('마치', 'Noun'): False,\n",
" ('면', 'Josa'): False,\n",
" ('메리', 'Noun'): False,\n",
" ('랑', 'Josa'): False,\n",
" ('놀거야', 'Verb'): False}"
]
},
"execution_count": 63,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"test_sent_features = {word: (word in tokens) for word in test_docs}\n",
"test_sent_features"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- **\"형태소 분석\"을 수행해준 다음 Naive Bayes 분류기를 작동**시켜보니, 의도한대로 **긍정(pos)**의 의미가 잘 드러났다!!"
]
},
{
"cell_type": "code",
"execution_count": 64,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.093486Z",
"start_time": "2020-06-08T00:03:09.075534Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"'pos'"
]
},
"execution_count": 64,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"classifier.classify(test_sent_features)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 문장의 유사도 측정\n",
"- 앞서 적용시켜본 **Naive Bayes 분류기**는 **지도학습** 모델이라 **미리 정답을 알고 있어야 한다**는 단점이 있다\n",
" - 즉, **레이블 값이 주어져야 한다**는 말!!\n",
"- 따라서 이번에는 많은 문장 혹은 문서들 중에서, **유사한 문장을 찾아내는 방법**에 대해 설명해보겠다\n",
" - 만약 어떤 **문장을 벡터로 표현**할 수 있다면, **벡터 간 거리를 구하는 방법**으로 정말 손쉽게 해결할 수 있다!"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 먼저 **사이킷런**에서 **텍스트의 특징(feature)을 추출하는 모듈**에서 ```CountVectorizer```라는 함수를 **import**"
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.101464Z",
"start_time": "2020-06-08T00:03:09.096478Z"
}
},
"outputs": [],
"source": [
"from sklearn.feature_extraction.text import CountVectorizer"
]
},
{
"cell_type": "code",
"execution_count": 66,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.112434Z",
"start_time": "2020-06-08T00:03:09.104456Z"
}
},
"outputs": [],
"source": [
"vectorizer = CountVectorizer(min_df = 1)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- **연습용**으로 사용할 **유사한 문장**을 생성"
]
},
{
"cell_type": "code",
"execution_count": 67,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.120413Z",
"start_time": "2020-06-08T00:03:09.115427Z"
}
},
"outputs": [],
"source": [
"contents = ['메리랑 놀러가고 싶지만 바쁜데 어떻하죠?',\n",
" '메리는 공원에서 산책하고 노는 것을 싫어해요',\n",
" '메리는 공원에서 노는 것도 싫어해요. 이상해요.',\n",
" '먼 곳으로 여행을 떠나고 싶은데 너무 바빠서 그러질 못하고 있어요']"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 단어들을 벡터화된 feature로 잡기"
]
},
{
"cell_type": "code",
"execution_count": 68,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.144348Z",
"start_time": "2020-06-08T00:03:09.132382Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"['것도',\n",
" '것을',\n",
" '곳으로',\n",
" '공원에서',\n",
" '그러질',\n",
" '너무',\n",
" '노는',\n",
" '놀러가고',\n",
" '떠나고',\n",
" '메리는',\n",
" '메리랑',\n",
" '못하고',\n",
" '바빠서',\n",
" '바쁜데',\n",
" '산책하고',\n",
" '싫어해요',\n",
" '싶은데',\n",
" '싶지만',\n",
" '어떻하죠',\n",
" '여행을',\n",
" '이상해요',\n",
" '있어요']"
]
},
"execution_count": 68,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"X = vectorizer.fit_transform(contents)\n",
"vectorizer.get_feature_names()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 위에서 벡터화된 feature들을 array 형태로 변환시켜서 확인"
]
},
{
"cell_type": "code",
"execution_count": 69,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.162300Z",
"start_time": "2020-06-08T00:03:09.154324Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"array([[0, 0, 1, 0],\n",
" [0, 1, 0, 0],\n",
" [0, 0, 0, 1],\n",
" [0, 1, 1, 0],\n",
" [0, 0, 0, 1],\n",
" [0, 0, 0, 1],\n",
" [0, 1, 1, 0],\n",
" [1, 0, 0, 0],\n",
" [0, 0, 0, 1],\n",
" [0, 1, 1, 0],\n",
" [1, 0, 0, 0],\n",
" [0, 0, 0, 1],\n",
" [0, 0, 0, 1],\n",
" [1, 0, 0, 0],\n",
" [0, 1, 0, 0],\n",
" [0, 1, 1, 0],\n",
" [0, 0, 0, 1],\n",
" [1, 0, 0, 0],\n",
" [1, 0, 0, 0],\n",
" [0, 0, 0, 1],\n",
" [0, 0, 1, 0],\n",
" [0, 0, 0, 1]], dtype=int64)"
]
},
"execution_count": 69,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"X.toarray().transpose()"
]
},
{
"cell_type": "code",
"execution_count": 70,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.172275Z",
"start_time": "2020-06-08T00:03:09.165293Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"(4, 22)"
]
},
"execution_count": 70,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"X = vectorizer.fit_transform(contents)\n",
"num_samples, num_features = X.shape\n",
"num_samples, num_features"
]
},
{
"cell_type": "code",
"execution_count": 71,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.182248Z",
"start_time": "2020-06-08T00:03:09.175266Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"array([[0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0]],\n",
" dtype=int64)"
]
},
"execution_count": 71,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"new_post = ['메리랑 공원에서 산책하고 놀고 싶어요']\n",
"new_post_vec = vectorizer.transform(new_post)\n",
"new_post_vec.toarray()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 이제 **벡터화된 문장**에 대해 **유사도 측정**을 수행해보겠다"
]
},
{
"cell_type": "code",
"execution_count": 72,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.191224Z",
"start_time": "2020-06-08T00:03:09.185242Z"
}
},
"outputs": [],
"source": [
"import scipy as sp\n",
"\n",
"def dist_raw(v1, v2):\n",
" delta = v1 - v2\n",
" return sp.linalg.norm(delta.toarray())"
]
},
{
"cell_type": "code",
"execution_count": 73,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.209176Z",
"start_time": "2020-06-08T00:03:09.194216Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"== Post 0 with dits = 2.45 : 메리랑 놀러가고 싶지만 바쁜데 어떻하죠?\n",
"== Post 1 with dits = 2.24 : 메리는 공원에서 산책하고 노는 것을 싫어해요\n",
"== Post 2 with dits = 2.65 : 메리는 공원에서 노는 것도 싫어해요. 이상해요.\n",
"== Post 3 with dits = 3.46 : 먼 곳으로 여행을 떠나고 싶은데 너무 바빠서 그러질 못하고 있어요\n"
]
}
],
"source": [
"best_doc = None\n",
"best_dist = 65535\n",
"best_i = None\n",
"\n",
"for i in range(0, num_samples):\n",
" post_vec = X.getrow(i) # row(행)만 가져오기\n",
" d = dist_raw(post_vec, new_post_vec) # 벡터 간 거리 구하기\n",
" \n",
" print(\"== Post %i with dits = %.2f : %s\" % (i, d, contents[i]))\n",
" \n",
" if d < best_dist:\n",
" best_dist = d\n",
" best_i = i"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**이제 좀 더 한글 문장에 대한 벡터화를 합리적으로 진행해보겠다**"
]
},
{
"cell_type": "code",
"execution_count": 74,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.219149Z",
"start_time": "2020-06-08T00:03:09.212168Z"
}
},
"outputs": [],
"source": [
"from konlpy.tag import Okt\n",
"t = Okt()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- ```KoNLPy```의 ```Okt```를 이용해서 **형태소 분석을 한 결과**를 **token**으로 두겠다"
]
},
{
"cell_type": "code",
"execution_count": 75,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.244084Z",
"start_time": "2020-06-08T00:03:09.221144Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"[['메리', '랑', '놀러', '가고', '싶지만', '바쁜데', '어떻하죠', '?'],\n",
" ['메리', '는', '공원', '에서', '산책', '하고', '노', '는', '것', '을', '싫어해요'],\n",
" ['메리', '는', '공원', '에서', '노', '는', '것', '도', '싫어해요', '.', '이상해요', '.'],\n",
" ['먼',\n",
" '곳',\n",
" '으로',\n",
" '여행',\n",
" '을',\n",
" '떠나고',\n",
" '싶은데',\n",
" '너무',\n",
" '바빠서',\n",
" '그러질',\n",
" '못',\n",
" '하고',\n",
" '있어요']]"
]
},
"execution_count": 75,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"contents_tokens = [t.morphs(row) for row in contents]\n",
"contents_tokens"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 형태소 분석을 한 후, 띄어쓰기로 구분하고 그것 자체를 하나의 문장(sentence)으로 만들어서 **사이킷런**의 ```vectorizer``` 함수에서 **사용하기 편하게 편집**"
]
},
{
"cell_type": "code",
"execution_count": 76,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.259042Z",
"start_time": "2020-06-08T00:03:09.250067Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"[' 메리 랑 놀러 가고 싶지만 바쁜데 어떻하죠 ?',\n",
" ' 메리 는 공원 에서 산책 하고 노 는 것 을 싫어해요',\n",
" ' 메리 는 공원 에서 노 는 것 도 싫어해요 . 이상해요 .',\n",
" ' 먼 곳 으로 여행 을 떠나고 싶은데 너무 바빠서 그러질 못 하고 있어요']"
]
},
"execution_count": 76,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"contents_for_vectorize = []\n",
"\n",
"for content in contents_tokens:\n",
" sentence = ''\n",
" for word in content:\n",
" sentence = sentence + ' ' + word\n",
" \n",
" contents_for_vectorize.append(sentence)\n",
" \n",
"contents_for_vectorize"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 단어들을 벡터화된 feature로 잡기"
]
},
{
"cell_type": "code",
"execution_count": 77,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.272008Z",
"start_time": "2020-06-08T00:03:09.262042Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"(4, 20)"
]
},
"execution_count": 77,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"X = vectorizer.fit_transform(contents_for_vectorize)\n",
"num_samples, num_features = X.shape\n",
"num_samples, num_features"
]
},
{
"cell_type": "code",
"execution_count": 78,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.282978Z",
"start_time": "2020-06-08T00:03:09.275000Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"['가고',\n",
" '공원',\n",
" '그러질',\n",
" '너무',\n",
" '놀러',\n",
" '떠나고',\n",
" '메리',\n",
" '바빠서',\n",
" '바쁜데',\n",
" '산책',\n",
" '싫어해요',\n",
" '싶은데',\n",
" '싶지만',\n",
" '어떻하죠',\n",
" '에서',\n",
" '여행',\n",
" '으로',\n",
" '이상해요',\n",
" '있어요',\n",
" '하고']"
]
},
"execution_count": 78,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"vectorizer.get_feature_names()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 위에서 벡터화된 feature들을 array 형태로 변환시켜서 확인"
]
},
{
"cell_type": "code",
"execution_count": 79,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.295943Z",
"start_time": "2020-06-08T00:03:09.285971Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"array([[1, 0, 0, 0],\n",
" [0, 1, 1, 0],\n",
" [0, 0, 0, 1],\n",
" [0, 0, 0, 1],\n",
" [1, 0, 0, 0],\n",
" [0, 0, 0, 1],\n",
" [1, 1, 1, 0],\n",
" [0, 0, 0, 1],\n",
" [1, 0, 0, 0],\n",
" [0, 1, 0, 0],\n",
" [0, 1, 1, 0],\n",
" [0, 0, 0, 1],\n",
" [1, 0, 0, 0],\n",
" [1, 0, 0, 0],\n",
" [0, 1, 1, 0],\n",
" [0, 0, 0, 1],\n",
" [0, 0, 0, 1],\n",
" [0, 0, 1, 0],\n",
" [0, 0, 0, 1],\n",
" [0, 1, 0, 1]], dtype=int64)"
]
},
"execution_count": 79,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"X.toarray().transpose()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**이제 새로운 문장이 있으면, 그 문장을 위와 동일한 과정으로 벡터화해서 각 벡터들 사이의 거리를 구하면 될 것이다**"
]
},
{
"cell_type": "code",
"execution_count": 80,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.316889Z",
"start_time": "2020-06-08T00:03:09.298936Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"[' 메리 랑 공원 에서 산책 하고 놀고 싶어요']"
]
},
"execution_count": 80,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"new_post = ['메리랑 공원에서 산책하고 놀고 싶어요']\n",
"new_post_tokens = [t.morphs(row) for row in new_post]\n",
"\n",
"new_post_for_vectorize = []\n",
"\n",
"for content in new_post_tokens:\n",
" sentence = ''\n",
" for word in content:\n",
" sentence = sentence + ' ' + word\n",
" \n",
" new_post_for_vectorize.append(sentence)\n",
" \n",
"new_post_for_vectorize"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- **벡터화** 시켜주기"
]
},
{
"cell_type": "code",
"execution_count": 81,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.324867Z",
"start_time": "2020-06-08T00:03:09.319881Z"
}
},
"outputs": [],
"source": [
"new_post_vec = vectorizer.transform(new_post_for_vectorize)"
]
},
{
"cell_type": "code",
"execution_count": 82,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.336835Z",
"start_time": "2020-06-08T00:03:09.327859Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"array([[0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1]],\n",
" dtype=int64)"
]
},
"execution_count": 82,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"new_post_vec.toarray()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- **두 벡터의 차**를 구하고 난 **결과의 norm**을 구하는 ```dist_raw()``` 함수를 만들고, **각 문장과 새로운 문장의 거리** 구하기"
]
},
{
"cell_type": "code",
"execution_count": 83,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.345811Z",
"start_time": "2020-06-08T00:03:09.339828Z"
}
},
"outputs": [],
"source": [
"import scipy as sp\n",
"\n",
"def dist_raw(v1, v2):\n",
" delta = v1 - v2\n",
" return sp.linalg.norm(delta.toarray())"
]
},
{
"cell_type": "code",
"execution_count": 84,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.401660Z",
"start_time": "2020-06-08T00:03:09.348804Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"== Post 0 with dist = 3.00 : 메리랑 놀러가고 싶지만 바쁜데 어떻하죠?\n",
"== Post 1 with dist = 1.00 : 메리는 공원에서 산책하고 노는 것을 싫어해요\n",
"== Post 2 with dist = 2.00 : 메리는 공원에서 노는 것도 싫어해요. 이상해요.\n",
"== Post 3 with dist = 3.46 : 먼 곳으로 여행을 떠나고 싶은데 너무 바빠서 그러질 못하고 있어요\n"
]
}
],
"source": [
"best_doc = None\n",
"best_dist = 65535\n",
"best_i = None\n",
"\n",
"for i in range(0, num_samples):\n",
" post_vec = X.getrow(i)\n",
" d = dist_raw(post_vec, new_post_vec)\n",
" \n",
" print(\"== Post %i with dist = %.2f : %s\" % (i, d, contents[i]))\n",
" \n",
" if d < best_dist:\n",
" best_dist = d\n",
" best_i = i"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- **'메리랑 공원에서 산책하고 놀고 싶어요'**라는 문장과 주어진 4개의 문장(contents) 중에서, **가장 흡사한 문장**으로는 **'메리는 공원에서 산책하고 노는 것을 싫어해요'**가 잡혔다\n",
" - 비록 문장의 의미는 반대지만, **소속된 단어들의 조합을 보면 타당**해 보인다"
]
},
{
"cell_type": "code",
"execution_count": 85,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.416621Z",
"start_time": "2020-06-08T00:03:09.407646Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Best post is 1, dist = 1.00\n",
"--> ['메리랑 공원에서 산책하고 놀고 싶어요']\n",
"----> 메리는 공원에서 산책하고 노는 것을 싫어해요\n"
]
}
],
"source": [
"print(\"Best post is %i, dist = %.2f\" % (best_i, best_dist))\n",
"print('-->', new_post)\n",
"print('---->', contents[best_i])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 벡터화된 결과를 한 번에 확인"
]
},
{
"cell_type": "code",
"execution_count": 86,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.429586Z",
"start_time": "2020-06-08T00:03:09.419614Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[[1 0 0 0 1 0 1 0 1 0 0 0 1 1 0 0 0 0 0 0]]\n",
"[[0 1 0 0 0 0 1 0 0 1 1 0 0 0 1 0 0 0 0 1]]\n",
"[[0 1 0 0 0 0 1 0 0 0 1 0 0 0 1 0 0 1 0 0]]\n",
"[[0 0 1 1 0 1 0 1 0 0 0 1 0 0 0 1 1 0 1 1]]\n",
"--------------------------------------------------\n",
"[[0 1 0 0 0 0 1 0 0 1 0 0 0 0 1 0 0 0 0 1]]\n"
]
}
],
"source": [
"for i in range(0, len(contents)):\n",
" print(X.getrow(i).toarray())\n",
" \n",
"print('-' * 50)\n",
"print(new_post_vec.toarray())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**이번에는 각 벡터를 정규화 시켜준 후, 거리를 구해보겠다**\n",
"- 먼저 각 벡터의 norm을 나눠준 후, 거리를 구하도록 ```dist_norm()``` 함수를 생성"
]
},
{
"cell_type": "code",
"execution_count": 87,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.444555Z",
"start_time": "2020-06-08T00:03:09.432579Z"
}
},
"outputs": [],
"source": [
"def dist_norm(v1, v2):\n",
" v1_normalized = v1 / sp.linalg.norm(v1.toarray())\n",
" v2_normalized = v2 / sp.linalg.norm(v2.toarray())\n",
" \n",
" delta = v1_normalized - v2_normalized\n",
" \n",
" return sp.linalg.norm(delta.toarray())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 다음으로 **벡터 간 거리** 구하기\n",
" - 거리를 구한 결과가 앞서 수행한 결과와 조금 다르다\n",
" - 그러나 가장 가까운 문장을 찾는 것에 대한 결과는 크게 다르지 않다"
]
},
{
"cell_type": "code",
"execution_count": 88,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.470480Z",
"start_time": "2020-06-08T00:03:09.449533Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"== Post 0 with dist = 1.28 : 메리랑 놀러가고 싶지만 바쁜데 어떻하죠?\n",
"== Post 1 with dist = 0.42 : 메리는 공원에서 산책하고 노는 것을 싫어해요\n",
"== Post 2 with dist = 0.89 : 메리는 공원에서 노는 것도 싫어해요. 이상해요.\n",
"== Post 3 with dist = 1.30 : 먼 곳으로 여행을 떠나고 싶은데 너무 바빠서 그러질 못하고 있어요\n"
]
}
],
"source": [
"best_doc = None\n",
"best_dist = 65535\n",
"best_i = None\n",
"\n",
"for i in range(0, num_samples):\n",
" post_vec = X.getrow(i)\n",
" d = dist_norm(post_vec, new_post_vec)\n",
" \n",
" print(\"== Post %i with dist = %.2f : %s\" % (i, d, contents[i]))\n",
" \n",
" if d < best_dist:\n",
" best_dist = d\n",
" best_i = i"
]
},
{
"cell_type": "code",
"execution_count": 89,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.479453Z",
"start_time": "2020-06-08T00:03:09.472472Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Best post is 1, dist = 0.42\n",
"--> ['메리랑 공원에서 산책하고 놀고 싶어요']\n",
"----> 메리는 공원에서 산책하고 노는 것을 싫어해요\n"
]
}
],
"source": [
"print(\"Best post is %i, dist = %.2f\" % (best_i, best_dist))\n",
"print('-->', new_post)\n",
"print('---->', contents[best_i])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**이번에는 ```tfidf```라는 개념을 적용하여 자연어 처리 수행을 해보도록 하겠다**\n",
"- ***tf(term frequency)***와 ***idf(inverse document frequency)***는 텍스트 마이닝에서 사용하는 일종의 **단어별로 부과하는 가중치**이다\n",
"- **tf**는 **어떤 단어가 문서 내에서 자주 등장할수록 중요도가 높을 것**으로 보는 것이다\n",
"- **idf**는 **비교하는 모든 문서에 만약 같은 단어가 있다면**, 이 단어는 핵심 어휘일지는 모르지만 **문서 간의 비교에서는 중요한 단어가 아니라는 뜻**으로 보는 것이다"
]
},
{
"cell_type": "code",
"execution_count": 90,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.492419Z",
"start_time": "2020-06-08T00:03:09.483442Z"
}
},
"outputs": [],
"source": [
"import numpy as np\n",
"\n",
"def tfidf(t, d, D):\n",
" tf = float(d.count(t)) / sum(d.count(w) for w in set(d))\n",
" idf = np.lib.scimath.log(float(len(D)) / len([doc for doc in D if t in doc]))\n",
" return tf, idf"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 연습용 코드를 보면, 모든 문장에 a가 있기 때문에 idf의 결과는 0이다"
]
},
{
"cell_type": "code",
"execution_count": 91,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.505383Z",
"start_time": "2020-06-08T00:03:09.496410Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(1.0, 0.0)\n",
"(0.6666666666666666, 0.4054651081081644)\n",
"(0.3333333333333333, 0.0)\n",
"(0.3333333333333333, 0.4054651081081644)\n",
"(0.3333333333333333, 1.0986122886681098)\n"
]
}
],
"source": [
"a, abb, abc = ['a'], ['a', 'b', 'b'], ['a', 'b', 'c']\n",
"D = [a, abb, abc]\n",
"\n",
"print(tfidf('a', a, D))\n",
"print(tfidf('b', abb, D))\n",
"print(tfidf('a', abc, D))\n",
"print(tfidf('b', abc, D))\n",
"print(tfidf('c', abc, D))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 이제 위 **두 값을 곱한 것**을 ```tfidf()``` 함수로 수정해서 사용하면 된다\n",
" - **사이킷런**의 ```TfidfVectorizer```를 **import**해서 사용"
]
},
{
"cell_type": "code",
"execution_count": 92,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.513365Z",
"start_time": "2020-06-08T00:03:09.508376Z"
}
},
"outputs": [],
"source": [
"from sklearn.feature_extraction.text import TfidfVectorizer\n",
"\n",
"vectorizer = TfidfVectorizer(min_df = 1, decode_error = 'ignore')"
]
},
{
"cell_type": "code",
"execution_count": 93,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.557247Z",
"start_time": "2020-06-08T00:03:09.516357Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"(4, 20)"
]
},
"execution_count": 93,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"contents_tokens = [t.morphs(row) for row in contents]\n",
"\n",
"contents_for_vectorize = []\n",
"\n",
"for content in contents_tokens:\n",
" sentence = ''\n",
" for word in content:\n",
" sentence = sentence + ' ' + word\n",
" \n",
" contents_for_vectorize.append(sentence)\n",
" \n",
"X = vectorizer.fit_transform(contents_for_vectorize)\n",
"num_samples, num_features = X.shape\n",
"num_samples, num_features"
]
},
{
"cell_type": "code",
"execution_count": 94,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.567218Z",
"start_time": "2020-06-08T00:03:09.560238Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"['가고',\n",
" '공원',\n",
" '그러질',\n",
" '너무',\n",
" '놀러',\n",
" '떠나고',\n",
" '메리',\n",
" '바빠서',\n",
" '바쁜데',\n",
" '산책',\n",
" '싫어해요',\n",
" '싶은데',\n",
" '싶지만',\n",
" '어떻하죠',\n",
" '에서',\n",
" '여행',\n",
" '으로',\n",
" '이상해요',\n",
" '있어요',\n",
" '하고']"
]
},
"execution_count": 94,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"vectorizer.get_feature_names()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 앞에서 계속 사용했던 테스트용 문장을 비교해보겠다"
]
},
{
"cell_type": "code",
"execution_count": 95,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.599135Z",
"start_time": "2020-06-08T00:03:09.572205Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"[' 근처 공원 에 메리 랑 놀러 가고 싶네요 .']"
]
},
"execution_count": 95,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"new_post = ['근처 공원에 메리랑 놀러가고 싶네요.']\n",
"new_post_tokens = [t.morphs(row) for row in new_post]\n",
"\n",
"new_post_for_vectorize = []\n",
"\n",
"for content in new_post_tokens:\n",
" sentence = ''\n",
" for word in content:\n",
" sentence = sentence + ' ' + word\n",
" \n",
" new_post_for_vectorize.append(sentence)\n",
" \n",
"new_post_for_vectorize"
]
},
{
"cell_type": "code",
"execution_count": 96,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.608109Z",
"start_time": "2020-06-08T00:03:09.602126Z"
}
},
"outputs": [],
"source": [
"new_post_vec = vectorizer.transform(new_post_for_vectorize)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 다소 웃긴(?) 결과가 나왔다\n",
" - **'근처 공원에 메리랑 놀러가고 싶네요'**라는 말이 **'메리랑 놀러가고 싶지만 바쁜데 어떻하죠?'**라는 말과 유사하다고 나왔다\n",
" - 이 말의 진짜 의미는..? 놀러가기 싫다는 말을 돌려말 한 것 같은 기분이...ㅋㅋㅋㅋㅋ"
]
},
{
"cell_type": "code",
"execution_count": 97,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:09.630052Z",
"start_time": "2020-06-08T00:03:09.611104Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"== Post 0 with dist = 0.90 : 메리랑 놀러가고 싶지만 바쁜데 어떻하죠?\n",
"== Post 1 with dist = 1.18 : 메리는 공원에서 산책하고 노는 것을 싫어해요\n",
"== Post 2 with dist = 1.16 : 메리는 공원에서 노는 것도 싫어해요. 이상해요.\n",
"== Post 3 with dist = 1.41 : 먼 곳으로 여행을 떠나고 싶은데 너무 바빠서 그러질 못하고 있어요\n",
"Best post is 0, dist = 0.90\n",
"--> ['근처 공원에 메리랑 놀러가고 싶네요.']\n",
"----> 메리랑 놀러가고 싶지만 바쁜데 어떻하죠?\n"
]
}
],
"source": [
"best_doc = None\n",
"best_dist = 65535\n",
"best_i = None\n",
"\n",
"for i in range(0, num_samples):\n",
" post_vec = X.getrow(i)\n",
" d = dist_norm(post_vec, new_post_vec)\n",
" \n",
" print(\"== Post %i with dist = %.2f : %s\" % (i, d, contents[i]))\n",
" \n",
" if d < best_dist:\n",
" best_dist = d\n",
" best_i = i\n",
" \n",
"print(\"Best post is %i, dist = %.2f\" % (best_i, best_dist))\n",
"print('-->', new_post)\n",
"print('---->', contents[best_i])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 여자친구 선물 고르기\n",
"- 이번에는 조금 재미있는 주제로 접근해보겠다\n",
" - **\"여자친구 선물 고르기\"**라는 주제로, 남성 분들의 관심을 많이 끌 수 있는 주제라고 생각한다\n",
" - 그렇다고 절대 이 주제에 대한 분석 결과를 토대로 여자친구 선물을 고르지는 말기를 바란다!!\n",
"- **NAVER 지식인에서 여자친구 선물이라는 주제로 검색**을 하고, 그 검색 결과로 지금까지 학습한 몇몇 개념을 사용해보려 한다"
]
},
{
"cell_type": "code",
"execution_count": 98,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:10.847794Z",
"start_time": "2020-06-08T00:03:09.634039Z"
}
},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"\n",
"import platform\n",
"import matplotlib.pyplot as plt\n",
"\n",
"%matplotlib inline\n",
"\n",
"path = \"c:/Windows/Fonts/malgun.ttf\"\n",
"from matplotlib import font_manager, rc\n",
"if platform.system() == 'Darwin':\n",
" rc('font', family = 'AppleGothic')\n",
"elif platform.system() == 'Windows':\n",
" font_name = font_manager.FontProperties(fname = path).get_name()\n",
" rc('font', family = font_name)\n",
"else:\n",
" print('Unknown system... sorry~~~~') \n",
"\n",
"plt.rcParams['axes.unicode_minus'] = False\n",
"\n",
"from bs4 import BeautifulSoup\n",
"from urllib.request import urlopen\n",
"import urllib\n",
"import time"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 인터넷 주소 부분을 약간 편집해서, 접근해야 할 주소를 정한다"
]
},
{
"cell_type": "code",
"execution_count": 99,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:11.787004Z",
"start_time": "2020-06-08T00:03:10.850787Z"
}
},
"outputs": [],
"source": [
"tmp1 = 'https://search.naver.com/search.naver?where=kin'\n",
"html = tmp1 + '&sm=tab_jum&ie=utf8&query={key_word}&start={num}'\n",
"\n",
"response = urlopen(html.format(num = 1, key_word = urllib.parse.quote('여친 선물')))\n",
"\n",
"soup = BeautifulSoup(response, 'html.parser')\n",
"\n",
"tmp = soup.find_all('dl')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- **테스트 삼아 한 페이지**에 대해서만 테스트 결과를 살펴보겠다\n",
" - 결과가 잘 나온다!!"
]
},
{
"cell_type": "code",
"execution_count": 100,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:03:11.798970Z",
"start_time": "2020-06-08T00:03:11.788997Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"[' 기본검색 입력한 단어가 하나이상 포함된 문서 검색 ',\n",
" ' 상세검색 정확히 일치하는 단어/문장(\" \") 반드시 포함하는 단어(+) 제외하는 단어(-) 기본검색의 결과 범위를 줄이고자 할 때 사용합니다.여러개의 단어를 입력하실 때는쉼표(,)로 구분해서 입력하세요. ',\n",
" ' 질문 여친선물로 뭘 줘야 할까요? 2020.05.21. 여친선물로 뭘 줘야 할까요? 답변 안녕하세요 저는 종로3가에서 귀금속을 하고 있는 예문입니다 어떤 특별한 날인가요 그러면 특별하게 선물을 주시는 게 좋을 거 같아서요 기념이 돌 수 있는 목걸이,반지... 닉네임Shine09749 블로그 ',\n",
" ' 질문 아빠가 어제 카드 주셔서 여친 선물 2020.02.04. 아빠가 어제 카드 주셔서 여친 선물 사는데에 20만원 썼거든요?? 근데 여친이 또 사달라는게 있는데 그게 30만원이에요... 근데 또 돈쓰면 아빠가 뭐라 할것같고 안사주면... 답변 제가 보기에는 여친이 너무 무리하게 요구하는것 같은데 무리해서도라도 사주고 싶은 건가요? 남친을 곤란하게 만드는 여친이라면 고민해 보셔야할듯 해요~사랑은 둘이... 닉네임후니맘 ',\n",
" ' 질문 여우님!! 정품문의 답변즘여 여친선물인데.... 2020.01.29. 셀렉온에서 구매했으며 EATTREND에서 물품 배송되었어요. 메종 마르지엘라 5AC 미니백 부탁드립니다. 여친선물이에요... 꼼꼼히... 부탁... 드립니다... 감사합니다. 답변 구매처링크와 제품모델명택, 자물쇠 각인도 올려주세요 꼼꼼히 확인하기엔 부족한 사진이 너무 많네요; 닉네임은빛여우 ',\n",
" ' 질문 여친선물!!!!!! 2020.01.29. 여친한테 선물할건데 여친이 친구들한테도 자랑할만한 선물이 있을까요?? 괜찮으면 내공 50개 드리겠습니다ㅜㅜ 답변 화장품 가게에 손잡고 같이가서 마음에 드는걸 사주세요 닉네임친절한 남쌤 ',\n",
" ' 질문 베트남에서 여친 선물 2019.08.14. 이번주 주말에 베트남 다낭에 여행가는데 대학생 여친한테 선물 줄꺼 추천해주세요!! 부담되지 않게 5만원 이하로 부탁해요!! 답변 라탄 가방 라탄 장식품 커피 노니 환 노니비누 베트남 과자 ^^ 한시장에서 파는 라탄 가방 싸용~ 2~3개 사도 될껍니다 닉네임유니 ',\n",
" ' 질문 다이어트하는 여친선물로 가장 특별한것은? 2019.11.14. 다이어트하는 여친선물로 가장 특별한것은? 1.밀크프로틴wph그리2.리치밀데이3.wpa단백질4.스마트프로틴50 5.녹차 6.커피 답변 여자친구분의 체질에 따라 선물이 달라질 수 있지만 제 생각에는 3번 제품도 괜찮은 것 같아요 더 자세한 다이어트 제품에 알고 싶다면 제 닉네임 클릭 하시고 링크부분을 꾹... 닉네임큐티 톡summer0426 ',\n",
" ' 질문 여친선물로 생로랑 틴트 평이 좋아보이 2019.09.25. 여친선물로 생로랑 틴트 평이 좋아보이길래 틴트랑 이것저것 필요한걸로 좀 사줄려구 하는데요. 사는지역이 구미인데 구미에 구매 할수있는곳이 있나요? 아니면 대구 신세계... 답변 토닥토닥워터 추천해요 레몬, 오렌지, 자몽등 예쁜 건조과일과 히비스커스, 녹차등이 블랜딩 되어 있어 상큼하고 맛있게 먹을수 있어요 간편하게 보틀에 우려 마시면... 닉네임leti**** ',\n",
" ' 질문 여친선물 커플템 2019.08.15. 여친선물로 커플템을 맞추고 싶은데 1~2만원 으로 살수있는거 없을까요? 답변 커플 팔찌 어때요? 닉네임gmls**** ',\n",
" ' 질문 여친선물추천 꼭좀 해주세요~ 2016.11.23. 안녕하세요~ 여친선물추천을 해주세요.나이는 30대이고 직장에 다니고 있습니다.... 특별한 선물을 해주고 싶어서요 여친선물추천을 받고자 질문을 합니다. 도와주세요! 답변 안녕하세요~ 여친선물추천을 해달라고 질문을 하셨는데요... 다른분들도 여친선물추천해드리기가 좀... 좋을것같아요~ 여친선물추천으로 또한 산삼도 추천드려요~ 산삼은... 닉네임mjk1**** ',\n",
" ' 질문 여친선물 어떤걸 해줄까요?? 2018.01.31. 여친에게 여친선물을 하나 해주고싶어요 아직제가 학생이라서 물질적으로 그렇게 돈이많지않은데요. 여친선물 어떤걸 해야할지 모르겠네요 항상 처음이라서 여친선물이... 답변 제가 여친선물 추천좀 해드릴게요 이쁜사랑 계속 이어가길 바래요^^ 추천드릴 여친선물은 퓸스킨 레바도... 좋아요 여친선물로 괜찮을듯 해요 여친선물로 좋은 선물이... 닉네임ecp7**** ',\n",
" ' 연관검색어도움말 18k 목걸이 목걸이 선물 가네시 목걸이 여친 생일선물 연인 선물 닫기 후 1주일간 유지됩니다. 연관검색어를 다시 보시겠습니까? 열기 ']"
]
},
"execution_count": 100,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tmp_list = []\n",
"\n",
"for line in tmp:\n",
" tmp_list.append(line.text)\n",
" \n",
"tmp_list"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 이제 위에서 수행한 작업을 통해, 대략 **1만 개 정도의 검색 결과**를 읽어오도록 하겠다"
]
},
{
"cell_type": "code",
"execution_count": 101,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:04:27.848227Z",
"start_time": "2020-06-08T00:03:11.801963Z"
}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\Playdata\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:5: TqdmDeprecationWarning: This function will be removed in tqdm==5.0.0\n",
"Please use `tqdm.notebook.tqdm` instead of `tqdm.tqdm_notebook`\n",
" \"\"\"\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "4c7c827fbc054b0581c69dab47f42e09",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"HBox(children=(FloatProgress(value=0.0), HTML(value='')))"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n"
]
}
],
"source": [
"from tqdm import tqdm_notebook\n",
"\n",
"present_candi_text = []\n",
"\n",
"for n in tqdm_notebook(range(1, 1000, 10)):\n",
" response = urlopen(html.format(num = n, key_word = urllib.parse.quote('여자 친구 선물')))\n",
" \n",
" soup = BeautifulSoup (response, 'html.parser')\n",
" \n",
" tmp = soup.find_all('dl')\n",
" \n",
" for line in tmp:\n",
" present_candi_text.append(line.text)\n",
" \n",
" time.sleep(0.5)"
]
},
{
"cell_type": "code",
"execution_count": 102,
"metadata": {
"ExecuteTime": {
"end_time": "2020-06-08T00:04:27.883135Z",
"start_time": "2020-06-08T00:04:27.851217Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"[' 기본검색 입력한 단어가 하나이상 포함된 문서 검색 ',\n",
" ' 상세검색 정확히 일치하는 단어/문장(\" \") 반드시 포함하는 단어(+) 제외하는 단어(-) 기본검색의 결과 범위를 줄이고자 할 때 사용합니다.여러개의 단어를 입력하실 때는쉼표(,)로 구분해서 입력하세요. ',\n",
" ' 질문 여자친구 선물해주려구요 5일 전 여자친구가 첨으로 독립을 하게되서 축하기념으로 선물하려하는데요 여자친구 선물은 서프라이즈로 하고픈데 화장품이나 악세사리같은거는 제가 잘모르기도 하고 여자친구... 답변 여자친구 선물로 좀 특별한걸 선물해주세요 보면 생각이 자주나는걸로요 ㅎㅎ 아무래도 지속적이면서도 오래쓸수있는거겠죠 화장품은 소비성이니 비추천드려요! 닉네임찌누 ',\n",
" ' 질문 여자친구 선물 추천 부탁드립니다.(목걸이) 2일 전 안녕하세요 여자친구 선물로 목걸이를 선물하고 싶어서 이렇게 글을 올립니다. 제가 쥬얼리 쪽은 브랜드가 어떻게 되어 있는지 잘 몰라서요. 20대 중반 저랑 동갑인... 답변 14K 18k 1부 2부 3부 다이아 큐빅 프러포즈 데일리 목걸이 : 샤밍 주얼리 [샤밍주얼리] 14K 18k 1부 & 2부 3부 다이아 or 큐빅 프러포즈 데일리 목걸이 (우신, 현대... 닉네임샤밍제이 ',\n",
" ' 질문 여자친구 선물 추천 부탁드려요~ 2020.01.20. 저기요...여자친구 선물 추천 좀 해 주세요~ 너무 부담스럽지 않은 가벼운 종류로 찾고... 없이 좋아하면서도 실용적인 그런 종류로 괜찮은 여자친구 선물 추천 부탁드립니다~ 답변 저는 여자친구 선물 추천으로 천연 성분으로 된 스킨... 같아서 여자친구 선물 추천으로 딱인 것 같아요~~ 저도... 역시 여자친구 선물 추천이라고 하면 꽃!! 하지만 진짜... 닉네임hm8h**** ',\n",
" \" 질문 여자친구 선물 2020.04.29. 여자친구 선물 로즈데이에 장미 외에 선물할 수 있는 게 있을까요? 아직 연애 초라서 여러가지 기념일을 많이 챙겨주고 싶네요. 답변 저는 조금 특별한 선물을 추천해드립니다. 아마 처음보시는 상품일거에요! 남들처럼 흔하지 않고 소중하고 기억에 남을 수 있는 '향기나는 사진 하바리움 무드등... 닉네임gnsr**** \",\n",
" ' 질문 여자친구 선물로 감동적인게 뭐가 있을까요? 2020.04.07. 나중에 헤어진다고 해도 평생 저를 잊을 수 없는 선물을 해주고 싶어요 선물이라는게 정성이지만 직접 만들고 꾸미는 건 재주가 없어서 못하고요 여자친구 선물로... 답변 안녕하세요 여자친구 선물을 고민하고 계시군요 제가... 있더라고요 여자 친구 선물로 값비싼 선물보다 오래도록... 있고요 여자친구 선물로 로얄워터의 잊을 수 없는 향을... 닉네임dbgh**** ',\n",
" ' 질문 10대 여자친구 선물 뭘 사야할까요? 2019.06.18. 곧 그 친구 생일이 다가와서요. 10대 여자친구 선물로는 뭐가 괜찮을까요? 너무 비싸지 않으면서도 좀 괜찮은 10대 여자친구 선물 추천해주세요! 답변 ㅎㅎ 10대 여자친구 선물로는 뭐가 좋을까라니.. ㅎㅎ 저는10대 여자친구 선물로 라노아 퓨어플라워 스킨, 로션... 10대 여자친구 선물로 주기에 여러모로 너무 좋은거... 닉네임k6hi**** ',\n",
" ' 질문 여자친구 선물 ..감동받게 하고 싶어요 2020.01.05. 여친이 좋아할만한거 줘야 하는데 뭘 사야 할까요? 감동받을수있는 여자친구 생일 선물 추천 부탁드려요ㅠ 이번 생일에는 정말 괜찮은 여자친구 선물 해주고 싶어요. 답변 여자친구 선물로 옷이나 신발 이런 것보다 화장품 줬을 때가 제일 반응 좋았네요... 아무리 생각해 봐도 이런 기초화장품 세트가 여자친구 선물로 제일 좋은 것 같아요! 닉네임5p9f**** ',\n",
" ' 질문 여자친구 선물 2020.02.13. 선물을 해주고 싶은데요, 어떤 선물이 나을까요? 향수나 그런거도 포함해서 받으면 좋을 거 같은 선물 추천해주세요. 답변 안녕하세요 질문자님!! 여자친구 생일선물 고민하고 계시군요! 향수와 꽃도 좋고 쥬얼리 좋아하면 목걸이 팔찌도 좋을 것 같아요 답변이 도움이 되었으면 하고요 좋은 하루... 닉네임쏘야볶음 ',\n",
" ' 질문 30대여자친구선물 여러개 추천좀 해주세요 2019.08.22. 30대여자친구선물로 좋은 거 여러개 추천해주세요. 그 중에서 골라서 선물하던지... 그동안 30대여자친구선물이라고 함은 향수, 시계, 목걸이, 등등 딱히 엄청나게 좋아했던... 답변 30대여자친구선물 같은 경우는 실용적인 걸 원하는 경우가 많습니다. 그간 사줬던... 답변처럼 좀 더 건강에 깊숙히 관련된 30대여자친구선물이면 더 좋아할거 같습니다. 닉네임chwu**** ',\n",
" ' 질문 여자친구 선물로 ysl뷰티 팩트를 선 2019.11.02. 여자친구 선물로 ysl뷰티 팩트를 선물해주려고 합니다 지금 현제 메이크업포에버 팩트 24호를 쓰고 잇습니다 ysl뷰티 팩트를 사려고 하는데 몇호로 사야할까요 ㅠㅠ... 답변 여자친구 선물 추천 사이트 입니다 https://timeanbox.com/woman-for-gift/ 여자를 위한 선물 - Time An Box 여자를 위한 선물 여자들을 위한 이쁜 선물(맘에 들까?)... 닉네임sik5**** ',\n",
" ' 연관검색어도움말 여자친구목걸이 스킨케어 여자스킨로션추천 여자30대선물 에센스추천 20대여자친구선물 여자친구선물뷰티디바이스 선물 여자친구생일선물 여자근력운동 닫기 후 1주일간 유지됩니다. 연관검색어를 다시 보시겠습니까? 열기 ',\n",
" ' 기본검색 입력한 단어가 하나이상 포함된 문서 검색 ',\n",
" ' 상세검색 정확히 일치하는 단어/문장(\" \") 반드시 포함하는 단어(+) 제외하는 단어(-) 기본검색의 결과 범위를 줄이고자 할 때 사용합니다.여러개의 단어를 입력하실 때는쉼표(,)로 구분해서 입력하세요. ',\n",
" ' 질문 여자친구 선물해주려구요 5일 전 여자친구가 첨으로 독립을 하게되서 축하기념으로 선물하려하는데요 여자친구 선물은 서프라이즈로 하고픈데 화장품이나 악세사리같은거는 제가 잘모르기도 하고 여자친구... 답변 여자친구 선물로 좀 특별한걸 선물해주세요 보면 생각이 자주나는걸로요 ㅎㅎ 아무래도 지속적이면서도 오래쓸수있는거겠죠 화장품은 소비성이니 비추천드려요! 닉네임찌누 ',\n",
" ' 질문 여자친구 선물 추천 부탁드립니다.(목걸이) 2일 전 안녕하세요 여자친구 선물로 목걸이를 선물하고 싶어서 이렇게 글을 올립니다. 제가 쥬얼리 쪽은 브랜드가 어떻게 되어 있는지 잘 몰라서요. 20대 중반 저랑 동갑인... 답변 14K 18k 1부 2부 3부 다이아 큐빅 프러포즈 데일리 목걸이 : 샤밍 주얼리 [샤밍주얼리] 14K 18k 1부 & 2부 3부 다이아 or 큐빅 프러포즈 데일리 목걸이 (우신, 현대... 닉네임샤밍제이 ',\n",
" ' 질문 여자친구 선물 추천 부탁드려요~ 2020.01.20. 저기요...여자친구 선물 추천 좀 해 주세요~ 너무 부담스럽지 않은 가벼운 종류로 찾고... 없이 좋아하면서도 실용적인 그런 종류로 괜찮은 여자친구 선물 추천 부탁드립니다~ 답변 저는 여자친구 선물 추천으로 천연 성분으로 된 스킨... 같아서 여자친구 선물 추천으로 딱인 것 같아요~~ 저도... 역시 여자친구 선물 추천이라고 하면 꽃!! 하지만 진짜... 닉네임hm8h**** ',\n",
" \" 질문 여자친구 선물 2020.04.29. 여자친구 선물 로즈데이에 장미 외에 선물할 수 있는 게 있을까요? 아직 연애 초라서 여러가지 기념일을 많이 챙겨주고 싶네요. 답변 저는 조금 특별한 선물을 추천해드립니다. 아마 처음보시는 상품일거에요! 남들처럼 흔하지 않고 소중하고 기억에 남을 수 있는 '향기나는 사진 하바리움 무드등... 닉네임gnsr**** \",\n",
" ' 질문 여자친구 선물로 감동적인게 뭐가 있을까요? 2020.04.07. 나중에 헤어진다고 해도 평생 저를 잊을 수 없는 선물을 해주고 싶어요 선물이라는게 정성이지만 직접 만들고 꾸미는 건 재주가 없어서 못하고요 여자친구 선물로... 답변 안녕하세요 여자친구 선물을 고민하고 계시군요 제가... 있더라고요 여자 친구 선물로 값비싼 선물보다 오래도록... 있고요 여자친구 선물로 로얄워터의 잊을 수 없는 향을... 닉네임dbgh**** ',\n",
" ' 질문 10대 여자친구 선물 뭘 사야할까요? 2019.06.18. 곧 그 친구 생일이 다가와서요. 10대 여자친구 선물로는 뭐가 괜찮을까요? 너무 비싸지 않으면서도 좀 괜찮은 10대 여자친구 선물 추천해주세요! 답변 ㅎㅎ 10대 여자친구 선물로는 뭐가 좋을까라니.. ㅎㅎ 저는10대 여자친구 선물로 라노아 퓨어플라워 스킨, 로션... 10대 여자친구 선물로 주기에 여러모로 너무 좋은거... 닉네임k6hi**** ',\n",
" ' 질문 여자친구 선물 ..감동받게 하고 싶어요 2020.01.05. 여친이 좋아할만한거 줘야 하는데 뭘 사야 할까요? 감동받을수있는 여자친구 생일 선물 추천 부탁드려요ㅠ 이번 생일에는 정말 괜찮은 여자친구 선물 해주고 싶어요. 답변 여자친구 선물로 옷이나 신발 이런 것보다 화장품 줬을 때가 제일 반응 좋았네요... 아무리 생각해 봐도 이런 기초화장품 세트가 여자친구 선물로 제일 좋은 것 같아요! 닉네임5p9f**** ',\n",
" ' 질문 여자친구 선물 2020.02.13. 선물을 해주고 싶은데요, 어떤 선물이 나을까요? 향수나 그런거도 포함해서 받으면 좋을 거 같은 선물 추천해주세요. 답변 안녕하세요 질문자님!! 여자친구 생일선물 고민하고 계시군요! 향수와 꽃도 좋고 쥬얼리 좋아하면 목걸이 팔찌도 좋을 것 같아요 답변이 도움이 되었으면 하고요 좋은 하루... 닉네임쏘야볶음 ',\n",
" ' 질문 30대여자친구선물 여러개 추천좀 해주세요 2019.08.22. 30대여자친구선물로 좋은 거 여러개 추천해주세요. 그 중에서 골라서 선물하던지... 그동안 30대여자친구선물이라고 함은 향수, 시계, 목걸이, 등등 딱히 엄청나게 좋아했던... 답변 30대여자친구선물 같은 경우는 실용적인 걸 원하는 경우가 많습니다. 그간 사줬던... 답변처럼 좀 더 건강에 깊숙히 관련된 30대여자친구선물이면 더 좋아할거 같습니다. 닉네임chwu**** ',\n",
" ' 질문 여자친구 선물로 ysl뷰티 팩트를 선 2019.11.02. 여자친구 선물로 ysl뷰티 팩트를 선물해주려고 합니다 지금 현제 메이크업포에버 팩트 24호를 쓰고 잇습니다 ysl뷰티 팩트를 사려고 하는데 몇호로 사야할까요 ㅠㅠ... 답변 여자친구 선물 추천 사이트 입니다 https://timeanbox.com/woman-for-gift/ 여자를 위한 선물 - Time An Box 여자를 위한 선물 여자들을 위한 이쁜 선물(맘에 들까?)... 닉네임sik5**** ',\n",
" ' 연관검색어도움말 여자친구목걸이 스킨케어 여자스킨로션추천 여자30대선물 에센스추천 20대여자친구선물 여자친구선물뷰티디바이스 선물 여자친구생일선물 여자근력운동 닫기 후 1주일간 유지됩니다. 연관검색어를 다시 보시겠습니까? 열기 ',\n",
" ' 기본검색 입력한 단어가 하나이상 포함된 문서 검색 ',\n",
" ' 상세검색 정확히 일치하는 단어/문장(\" \") 반드시 포함하는 단어(+) 제외하는 단어(-) 기본검색의 결과 범위를 줄이고자 할 때 사용합니다.여러개의 단어를 입력하실 때는쉼표(,)로 구분해서 입력하세요. ',\n",
" ' 질문 여자친구 선물해주려구요 5일 전 여자친구가 첨으로 독립을 하게되서 축하기념으로 선물하려하는데요 여자친구 선물은 서프라이즈로 하고픈데 화장품이나 악세사리같은거는 제가 잘모르기도 하고 여자친구... 답변 여자친구 선물로 좀 특별한걸 선물해주세요 보면 생각이 자주나는걸로요 ㅎㅎ 아무래도 지속적이면서도 오래쓸수있는거겠죠 화장품은 소비성이니 비추천드려요! 닉네임찌누 ',\n",
" ' 질문 여자친구 선물 추천 부탁드립니다.(목걸이) 2일 전 안녕하세요 여자친구 선물로 목걸이를 선물하고 싶어서 이렇게 글을 올립니다. 제가 쥬얼리 쪽은 브랜드가 어떻게 되어 있는지 잘 몰라서요. 20대 중반 저랑 동갑인... 답변 14K 18k 1부 2부 3부 다이아 큐빅 프러포즈 데일리 목걸이 : 샤밍 주얼리 [샤밍주얼리] 14K 18k 1부 & 2부 3부 다이아 or 큐빅 프러포즈 데일리 목걸이 (우신, 현대... 닉네임샤밍제이 ',\n",
" ' 질문 여자친구 선물 추천 부탁드려요~ 2020.01.20. 저기요...여자친구 선물 추천 좀 해 주세요~ 너무 부담스럽지 않은 가벼운 종류로 찾고... 없이 좋아하면서도 실용적인 그런 종류로 괜찮은 여자친구 선물 추천 부탁드립니다~ 답변 저는 여자친구 선물 추천으로 천연 성분으로 된 스킨... 같아서 여자친구 선물 추천으로 딱인 것 같아요~~ 저도... 역시 여자친구 선물 추천이라고 하면 꽃!! 하지만 진짜... 닉네임hm8h**** ',\n",
" \" 질문 여자친구 선물 2020.04.29. 여자친구 선물 로즈데이에 장미 외에 선물할 수 있는 게 있을까요? 아직 연애 초라서 여러가지 기념일을 많이 챙겨주고 싶네요. 답변 저는 조금 특별한 선물을 추천해드립니다. 아마 처음보시는 상품일거에요! 남들처럼 흔하지 않고 소중하고 기억에 남을 수 있는 '향기나는 사진 하바리움 무드등... 닉네임gnsr**** \",\n",
" ' 질문 여자친구 선물로 감동적인게 뭐가 있을까요? 2020.04.07. 나중에 헤어진다고 해도 평생 저를 잊을 수 없는 선물을 해주고 싶어요 선물이라는게 정성이지만 직접 만들고 꾸미는 건 재주가 없어서 못하고요 여자친구 선물로... 답변 안녕하세요 여자친구 선물을 고민하고 계시군요 제가... 있더라고요 여자 친구 선물로 값비싼 선물보다 오래도록... 있고요 여자친구 선물로 로얄워터의 잊을 수 없는 향을... 닉네임dbgh**** ',\n",
" ' 질문 10대 여자친구 선물 뭘 사야할까요? 2019.06.18. 곧 그 친구 생일이 다가와서요. 10대 여자친구 선물로는 뭐가 괜찮을까요? 너무 비싸지 않으면서도 좀 괜찮은 10대 여자친구 선물 추천해주세요! 답변 ㅎㅎ 10대 여자친구 선물로는 뭐가 좋을까라니.. ㅎㅎ 저는10대 여자친구 선물로 라노아 퓨어플라워 스킨, 로션... 10대 여자친구 선물로 주기에 여러모로 너무 좋은거... 닉네임k6hi**** ',\n",
" ' 질문 여자친구 선물 ..감동받게 하고 싶어요 2020.01.05. 여친이 좋아할만한거 줘야 하는데 뭘 사야 할까요? 감동받을수있는 여자친구 생일 선물 추천 부탁드려요ㅠ 이번 생일에는 정말 괜찮은 여자친구 선물 해주고 싶어요. 답변 여자친구 선물로 옷이나 신발 이런 것보다 화장품 줬을 때가 제일 반응 좋았네요... 아무리 생각해 봐도 이런 기초화장품 세트가 여자친구 선물로 제일 좋은 것 같아요! 닉네임5p9f**** ',\n",
" ' 질문 여자친구 선물 2020.02.13. 선물을 해주고 싶은데요, 어떤 선물이 나을까요? 향수나 그런거도 포함해서 받으면 좋을 거 같은 선물 추천해주세요. 답변 안녕하세요 질문자님!! 여자친구 생일선물 고민하고 계시군요! 향수와 꽃도 좋고 쥬얼리 좋아하면 목걸이 팔찌도 좋을 것 같아요 답변이 도움이 되었으면 하고요 좋은 하루... 닉네임쏘야볶음 ',\n",
" ' 질문 30대여자친구선물 여러개 추천좀 해주세요 2019.08.22. 30대여자친구선물로 좋은 거 여러개 추천해주세요. 그 중에서 골라서 선물하던지... 그동안 30대여자친구선물이라고 함은 향수, 시계, 목걸이, 등등 딱히 엄청나게 좋아했던... 답변 30대여자친구선물 같은 경우는 실용적인 걸 원하는 경우가 많습니다. 그간 사줬던... 답변처럼 좀 더 건강에 깊숙히 관련된 30대여자친구선물이면 더 좋아할거 같습니다. 닉네임chwu**** ',\n",
" ' 질문 여자친구 선물로 ysl뷰티 팩트를 선 2019.11.02. 여자친구 선물로 ysl뷰티 팩트를 선물해주려고 합니다 지금 현제 메이크업포에버 팩트 24호를 쓰고 잇습니다 ysl뷰티 팩트를 사려고 하는데 몇호로 사야할까요 ㅠㅠ... 답변 여자친구 선물 추천 사이트 입니다 https://timeanbox.com/woman-for-gift/ 여자를 위한 선물 - Time An Box 여자를 위한 선물 여자들을 위한 이쁜 선물(맘에 들까?)... 닉네임sik5**** ',\n",
" ' 연관검색어도움말 여자친구목걸이 스킨케어 여자스킨로션추천 여자30대선물 에센스추천 20대여자친구선물 여자친구선물뷰티디바이스 선물 여자친구생일선물 여자근력운동 닫기 후 1주일간 유지됩니다. 연관검색어를 다시 보시겠습니까? 열기 ',\n",
" ' 기본검색 입력한 단어가 하나이상 포함된 문서 검색 ',\n",
" ' 상세검색 정확히 일치하는 단어/문장(\" \") 반드시 포함하는 단어(+) 제외하는 단어(-) 기본검색의 결과 범위를 줄이고자 할 때 사용합니다.여러개의 단어를 입력하실 때는쉼표(,)로 구분해서 입력하세요. ',\n",
" ' 질문 여자친구 선물해주려구요 5일 전 여자친구가 첨으로 독립을 하게되서 축하기념으로 선물하려하는데요 여자친구 선물은 서프라이즈로 하고픈데 화장품이나 악세사리같은거는 제가 잘모르기도 하고 여자친구... 답변 여자친구 선물로 좀 특별한걸 선물해주세요 보면 생각이 자주나는걸로요 ㅎㅎ 아무래도 지속적이면서도 오래쓸수있는거겠죠 화장품은 소비성이니 비추천드려요! 닉네임찌누 ',\n",
" ' 질문 여자친구 선물 추천 부탁드립니다.(목걸이) 2일 전 안녕하세요 여자친구 선물로 목걸이를 선물하고 싶어서 이렇게 글을 올립니다. 제가 쥬얼리 쪽은 브랜드가 어떻게 되어 있는지 잘 몰라서요. 20대 중반 저랑 동갑인... 답변 14K 18k 1부 2부 3부 다이아 큐빅 프러포즈 데일리 목걸이 : 샤밍 주얼리 [샤밍주얼리] 14K 18k 1부 & 2부 3부 다이아 or 큐빅 프러포즈 데일리 목걸이 (우신, 현대... 닉네임샤밍제이 ',\n",
" ' 질문 여자친구 선물 추천 부탁드려요~ 2020.01.20. 저기요...여자친구 선물 추천 좀 해 주세요~ 너무 부담스럽지 않은 가벼운 종류로 찾고... 없이 좋아하면서도 실용적인 그런 종류로 괜찮은 여자친구 선물 추천 부탁드립니다~ 답변 저는 여자친구 선물 추천으로 천연 성분으로 된 스킨... 같아서 여자친구 선물 추천으로 딱인 것 같아요~~ 저도... 역시 여자친구 선물 추천이라고 하면 꽃!! 하지만 진짜... 닉네임hm8h**** ',\n",
" \" 질문 여자친구 선물 2020.04.29. 여자친구 선물 로즈데이에 장미 외에 선물할 수 있는 게 있을까요? 아직 연애 초라서 여러가지 기념일을 많이 챙겨주고 싶네요. 답변 저는 조금 특별한 선물을 추천해드립니다. 아마 처음보시는 상품일거에요! 남들처럼 흔하지 않고 소중하고 기억에 남을 수 있는 '향기나는 사진 하바리움 무드등... 닉네임gnsr**** \",\n",
" ' 질문 여자친구 선물로 감동적인게 뭐가 있을까요? 2020.04.07. 나중에 헤어진다고 해도 평생 저를 잊을 수 없는 선물을 해주고 싶어요 선물이라는게 정성이지만 직접 만들고 꾸미는 건 재주가 없어서 못하고요 여자친구 선물로... 답변 안녕하세요 여자친구 선물을 고민하고 계시군요 제가... 있더라고요 여자 친구 선물로 값비싼 선물보다 오래도록... 있고요 여자친구 선물로 로얄워터의 잊을 수 없는 향을... 닉네임dbgh**** ',\n",
" ' 질문 10대 여자친구 선물 뭘 사야할까요? 2019.06.18. 곧 그 친구 생일이 다가와서요. 10대 여자친구 선물로는 뭐가 괜찮을까요? 너무 비싸지 않으면서도 좀 괜찮은 10대 여자친구 선물 추천해주세요! 답변 ㅎㅎ 10대 여자친구 선물로는 뭐가 좋을까라니.. ㅎㅎ 저는10대 여자친구 선물로 라노아 퓨어플라워 스킨, 로션... 10대 여자친구 선물로 주기에 여러모로 너무 좋은거... 닉네임k6hi**** ',\n",
" ' 질문 여자친구 선물 ..감동받게 하고 싶어요 2020.01.05. 여친이 좋아할만한거 줘야 하는데 뭘 사야 할까요? 감동받을수있는 여자친구 생일 선물 추천 부탁드려요ㅠ 이번 생일에는 정말 괜찮은 여자친구 선물 해주고 싶어요. 답변 여자친구 선물로 옷이나 신발 이런 것보다 화장품 줬을 때가 제일 반응 좋았네요... 아무리 생각해 봐도 이런 기초화장품 세트가 여자친구 선물로 제일 좋은 것 같아요! 닉네임5p9f**** ',\n",
" ' 질문 여자친구 선물 2020.02.13. 선물을 해주고 싶은데요, 어떤 선물이 나을까요? 향수나 그런거도 포함해서 받으면 좋을 거 같은 선물 추천해주세요. 답변 안녕하세요 질문자님!! 여자친구 생일선물 고민하고 계시군요! 향수와 꽃도 좋고 쥬얼리 좋아하면 목걸이 팔찌도 좋을 것 같아요 답변이 도움이 되었으면 하고요 좋은 하루... 닉네임쏘야볶음 ',\n",
" ' 질문 30대여자친구선물 여러개 추천좀 해주세요 2019.08.22. 30대여자친구선물로 좋은 거 여러개 추천해주세요. 그 중에서 골라서 선물하던지... 그동안 30대여자친구선물이라고 함은 향수, 시계, 목걸이, 등등 딱히 엄청나게 좋아했던... 답변 30대여자친구선물 같은 경우는 실용적인 걸 원하는 경우가 많습니다. 그간 사줬던... 답변처럼 좀 더 건강에 깊숙히 관련된 30대여자친구선물이면 더 좋아할거 같습니다. 닉네임chwu**** ',\n",
" ' 질문 여자친구 선물로 ysl뷰티 팩트를 선 2019.11.02. 여자친구 선물로 ysl뷰티 팩트를 선물해주려고 합니다 지금 현제 메이크업포에버 팩트 24호를 쓰고 잇습니다 ysl뷰티 팩트를 사려고 하는데 몇호로 사야할까요 ㅠㅠ... 답변 여자친구 선물 추천 사이트 입니다 https://timeanbox.com/woman-for-gift/ 여자를 위한 선물 - Time An Box 여자를 위한 선물 여자들을 위한 이쁜 선물(맘에 들까?)... 닉네임sik5**** ',\n",
" ' 연관검색어도움말 여자친구목걸이 스킨케어 여자스킨로션추천 여자30대선물 에센스추천 20대여자친구선물 여자친구선물뷰티디바이스 선물 여자친구생일선물 여자근력운동 닫기 후 1주일간 유지됩니다. 연관검색어를 다시 보시겠습니까? 열기 ',\n",
" ' 기본검색 입력한 단어가 하나이상 포함된 문서 검색 ',\n",
" ' 상세검색 정확히 일치하는 단어/문장(\" \") 반드시 포함하는 단어(+) 제외하는 단어(-) 기본검색의 결과 범위를 줄이고자 할 때 사용합니다.여러개의 단어를 입력하실 때는쉼표(,)로 구분해서 입력하세요. ',\n",
" ' 질문 여자친구 선물해주려구요 5일 전 여자친구가 첨으로 독립을 하게되서 축하기념으로 선물하려하는데요 여자친구 선물은 서프라이즈로 하고픈데 화장품이나 악세사리같은거는 제가 잘모르기도 하고 여자친구... 답변 여자친구 선물로 좀 특별한걸 선물해주세요 보면 생각이 자주나는걸로요 ㅎㅎ 아무래도 지속적이면서도 오래쓸수있는거겠죠 화장품은 소비성이니 비추천드려요! 닉네임찌누 ',\n",
" ' 질문 여자친구 선물 추천 부탁드립니다.(목걸이) 2일 전 안녕하세요 여자친구 선물로 목걸이를 선물하고 싶어서 이렇게 글을 올립니다. 제가 쥬얼리 쪽은 브랜드가 어떻게 되어 있는지 잘 몰라서요. 20대 중반 저랑 동갑인... 답변 14K 18k 1부 2부 3부 다이아 큐빅 프러포즈 데일리 목걸이 : 샤밍 주얼리 [샤밍주얼리] 14K 18k 1부 & 2부 3부 다이아 or 큐빅 프러포즈 데일리 목걸이 (우신, 현대... 닉네임샤밍제이 ',\n",
" ' 질문 여자친구 선물 추천 부탁드려요~ 2020.01.20. 저기요...여자친구 선물 추천 좀 해 주세요~ 너무 부담스럽지 않은 가벼운 종류로 찾고... 없이 좋아하면서도 실용적인 그런 종류로 괜찮은 여자친구 선물 추천 부탁드립니다~ 답변 저는 여자친구 선물 추천으로 천연 성분으로 된 스킨... 같아서 여자친구 선물 추천으로 딱인 것 같아요~~ 저도... 역시 여자친구 선물 추천이라고 하면 꽃!! 하지만 진짜... 닉네임hm8h**** ',\n",
" \" 질문 여자친구 선물 2020.04.29. 여자친구 선물 로즈데이에 장미 외에 선물할 수 있는 게 있을까요? 아직 연애 초라서 여러가지 기념일을 많이 챙겨주고 싶네요. 답변 저는 조금 특별한 선물을 추천해드립니다. 아마 처음보시는 상품일거에요! 남들처럼 흔하지 않고 소중하고 기억에 남을 수 있는 '향기나는 사진 하바리움 무드등... 닉네임gnsr**** \",\n",
" ' 질문 여자친구 선물로 감동적인게 뭐가 있을까요? 2020.04.07. 나중에 헤어진다고 해도 평생 저를 잊을 수 없는 선물을 해주고 싶어요 선물이라는게 정성이지만 직접 만들고 꾸미는 건 재주가 없어서 못하고요 여자친구 선물로... 답변 안녕하세요 여자친구 선물을 고민하고 계시군요 제가... 있더라고요 여자 친구 선물로 값비싼 선물보다 오래도록... 있고요 여자친구 선물로 로얄워터의 잊을 수 없는 향을... 닉네임dbgh**** ',\n",
" ' 질문 10대 여자친구 선물 뭘 사야할까요? 2019.06.18. 곧 그 친구 생일이 다가와서요. 10대 여자친구 선물로는 뭐가 괜찮을까요? 너무 비싸지 않으면서도 좀 괜찮은 10대 여자친구 선물 추천해주세요! 답변 ㅎㅎ 10대 여자친구 선물로는 뭐가 좋을까라니.. ㅎㅎ 저는10대 여자친구 선물로 라노아 퓨어플라워 스킨, 로션... 10대 여자친구 선물로 주기에 여러모로 너무 좋은거... 닉네임k6hi**** ',\n",
" ' 질문 여자친구 선물 ..감동받게 하고 싶어요 2020.01.05. 여친이 좋아할만한거 줘야 하는데 뭘 사야 할까요? 감동받을수있는 여자친구 생일 선물 추천 부탁드려요ㅠ 이번 생일에는 정말 괜찮은 여자친구 선물 해주고 싶어요. 답변 여자친구 선물로 옷이나 신발 이런 것보다 화장품 줬을 때가 제일 반응 좋았네요... 아무리 생각해 봐도 이런 기초화장품 세트가 여자친구 선물로 제일 좋은 것 같아요! 닉네임5p9f**** ',\n",
" ' 질문 여자친구 선물 2020.02.13. 선물을 해주고 싶은데요, 어떤 선물이 나을까요? 향수나 그런거도 포함해서 받으면 좋을 거 같은 선물 추천해주세요. 답변 안녕하세요 질문자님!! 여자친구 생일선물 고민하고 계시군요! 향수와 꽃도 좋고 쥬얼리 좋아하면 목걸이 팔찌도 좋을 것 같아요 답변이 도움이 되었으면 하고요 좋은 하루... 닉네임쏘야볶음 ',\n",
" ' 질문 30대여자친구선물 여러개 추천좀 해주세요 2019.08.22. 30대여자친구선물로 좋은 거 여러개 추천해주세요. 그 중에서 골라서 선물하던지... 그동안 30대여자친구선물이라고 함은 향수, 시계, 목걸이, 등등 딱히 엄청나게 좋아했던... 답변 30대여자친구선물 같은 경우는 실용적인 걸 원하는 경우가 많습니다. 그간 사줬던... 답변처럼 좀 더 건강에 깊숙히 관련된 30대여자친구선물이면 더 좋아할거 같습니다. 닉네임chwu**** ',\n",
" ' 질문 여자친구 선물로 ysl뷰티 팩트를 선 2019.11.02. 여자친구 선물로 ysl뷰티 팩트를 선물해주려고 합니다 지금 현제 메이크업포에버 팩트 24호를 쓰고 잇습니다 ysl뷰티 팩트를 사려고 하는데 몇호로 사야할까요 ㅠㅠ... 답변 여자친구 선물 추천 사이트 입니다 https://timeanbox.com/woman-for-gift/ 여자를 위한 선물 - Time An Box 여자를 위한 선물 여자들을 위한 이쁜 선물(맘에 들까?)... 닉네임sik5**** ',\n",
" ' 연관검색어도움말 여자친구목걸이 스킨케어 여자스킨로션추천 여자30대선물 에센스추천 20대여자친구선물 여자친구선물뷰티디바이스 선물 여자친구생일선물 여자근력운동 닫기 후 1주일간 유지됩니다. 연관검색어를 다시 보시겠습니까? 열기 ',\n",
" ' 기본검색 입력한 단어가 하나이상 포함된 문서 검색 ',\n",
" ' 상세검색 정확히 일치하는 단어/문장(\" \") 반드시 포함하는 단어(+) 제외하는 단어(-) 기본검색의 결과 범위를 줄이고자 할 때 사용합니다.여러개의 단어를 입력하실 때는쉼표(,)로 구분해서 입력하세요. ',\n",
" ' 질문 여자친구 선물해주려구요 5일 전 여자친구가 첨으로 독립을 하게되서 축하기념으로 선물하려하는데요 여자친구 선물은 서프라이즈로 하고픈데 화장품이나 악세사리같은거는 제가 잘모르기도 하고 여자친구... 답변 여자친구 선물로 좀 특별한걸 선물해주세요 보면 생각이 자주나는걸로요 ㅎㅎ 아무래도 지속적이면서도 오래쓸수있는거겠죠 화장품은 소비성이니 비추천드려요! 닉네임찌누 ',\n",
" ' 질문 여자친구 선물 추천 부탁드립니다.(목걸이) 2일 전 안녕하세요 여자친구 선물로 목걸이를 선물하고 싶어서 이렇게 글을 올립니다. 제가 쥬얼리 쪽은 브랜드가 어떻게 되어 있는지 잘 몰라서요. 20대 중반 저랑 동갑인... 답변 14K 18k 1부 2부 3부 다이아 큐빅 프러포즈 데일리 목걸이 : 샤밍 주얼리 [샤밍주얼리] 14K 18k 1부 & 2부 3부 다이아 or 큐빅 프러포즈 데일리 목걸이 (우신, 현대... 닉네임샤밍제이 ',\n",
" ' 질문 여자친구 선물 추천 부탁드려요~ 2020.01.20. 저기요...여자친구 선물 추천 좀 해 주세요~ 너무 부담스럽지 않은 가벼운 종류로 찾고... 없이 좋아하면서도 실용적인 그런 종류로 괜찮은 여자친구 선물 추천 부탁드립니다~ 답변 저는 여자친구 선물 추천으로 천연 성분으로 된 스킨... 같아서 여자친구 선물 추천으로 딱인 것 같아요~~ 저도... 역시 여자친구 선물 추천이라고 하면 꽃!! 하지만 진짜... 닉네임hm8h**** ',\n",
" \" 질문 여자친구 선물 2020.04.29. 여자친구 선물 로즈데이에 장미 외에 선물할 수 있는 게 있을까요? 아직 연애 초라서 여러가지 기념일을 많이 챙겨주고 싶네요. 답변 저는 조금 특별한 선물을 추천해드립니다. 아마 처음보시는 상품일거에요! 남들처럼 흔하지 않고 소중하고 기억에 남을 수 있는 '향기나는 사진 하바리움 무드등... 닉네임gnsr**** \",\n",
" ' 질문 여자친구 선물로 감동적인게 뭐가 있을까요? 2020.04.07. 나중에 헤어진다고 해도 평생 저를 잊을 수 없는 선물을 해주고 싶어요 선물이라는게 정성이지만 직접 만들고 꾸미는 건 재주가 없어서 못하고요 여자친구 선물로... 답변 안녕하세요 여자친구 선물을 고민하고 계시군요 제가... 있더라고요 여자 친구 선물로 값비싼 선물보다 오래도록... 있고요 여자친구 선물로 로얄워터의 잊을 수 없는 향을... 닉네임dbgh**** ',\n",
" ' 질문 10대 여자친구 선물 뭘 사야할까요? 2019.06.18. 곧 그 친구 생일이 다가와서요. 10대 여자친구 선물로는 뭐가 괜찮을까요? 너무 비싸지 않으면서도 좀 괜찮은 10대 여자친구 선물 추천해주세요! 답변 ㅎㅎ 10대 여자친구 선물로는 뭐가 좋을까라니.. ㅎㅎ 저는10대 여자친구 선물로 라노아 퓨어플라워 스킨, 로션... 10대 여자친구 선물로 주기에 여러모로 너무 좋은거... 닉네임k6hi**** ',\n",
" ' 질문 여자친구 선물 ..감동받게 하고 싶어요 2020.01.05. 여친이 좋아할만한거 줘야 하는데 뭘 사야 할까요? 감동받을수있는 여자친구 생일 선물 추천 부탁드려요ㅠ 이번 생일에는 정말 괜찮은 여자친구 선물 해주고 싶어요. 답변 여자친구 선물로 옷이나 신발 이런 것보다 화장품 줬을 때가 제일 반응 좋았네요... 아무리 생각해 봐도 이런 기초화장품 세트가 여자친구 선물로 제일 좋은 것 같아요! 닉네임5p9f**** ',\n",
" ' 질문 여자친구 선물 2020.02.13. 선물을 해주고 싶은데요, 어떤 선물이 나을까요? 향수나 그런거도 포함해서 받으면 좋을 거 같은 선물 추천해주세요. 답변 안녕하세요 질문자님!! 여자친구 생일선물 고민하고 계시군요! 향수와 꽃도 좋고 쥬얼리 좋아하면 목걸이 팔찌도 좋을 것 같아요 답변이 도움이 되었으면 하고요 좋은 하루... 닉네임쏘야볶음 ',\n",
" ' 질문 30대여자친구선물 여러개 추천좀 해주세요 2019.08.22. 30대여자친구선물로 좋은 거 여러개 추천해주세요. 그 중에서 골라서 선물하던지... 그동안 30대여자친구선물이라고 함은 향수, 시계, 목걸이, 등등 딱히 엄청나게 좋아했던... 답변 30대여자친구선물 같은 경우는 실용적인 걸 원하는 경우가 많습니다. 그간 사줬던... 답변처럼 좀 더 건강에 깊숙히 관련된 30대여자친구선물이면 더 좋아할거 같습니다. 닉네임chwu**** ',\n",
" ' 질문 여자친구 선물로 ysl뷰티 팩트를 선 2019.11.02. 여자친구 선물로 ysl뷰티 팩트를 선물해주려고 합니다 지금 현제 메이크업포에버 팩트 24호를 쓰고 잇습니다 ysl뷰티 팩트를 사려고 하는데 몇호로 사야할까요 ㅠㅠ... 답변 여자친구 선물 추천 사이트 입니다 https://timeanbox.com/woman-for-gift/ 여자를 위한 선물 - Time An Box 여자를 위한 선물 여자들을 위한 이쁜 선물(맘에 들까?)... 닉네임sik5**** ',\n",
" ' 연관검색어도움말 여자친구목걸이 스킨케어 여자스킨로션추천 여자30대선물 에센스추천 20대여자친구선물 여자친구선물뷰티디바이스 선물 여자친구생일선물 여자근력운동 닫기 후 1주일간 유지됩니다. 연관검색어를 다시 보시겠습니까? 열기 ',\n",
" ' 기본검색 입력한 단어가 하나이상 포함된 문서 검색 ',\n",
" ' 상세검색 정확히 일치하는 단어/문장(\" \") 반드시 포함하는 단어(+) 제외하는 단어(-) 기본검색의 결과 범위를 줄이고자 할 때 사용합니다.여러개의 단어를 입력하실 때는쉼표(,)로 구분해서 입력하세요. ',\n",
" ' 질문 여자친구 선물해주려구요 5일 전 여자친구가 첨으로 독립을 하게되서 축하기념으로 선물하려하는데요 여자친구 선물은 서프라이즈로 하고픈데 화장품이나 악세사리같은거는 제가 잘모르기도 하고 여자친구... 답변 여자친구 선물로 좀 특별한걸 선물해주세요 보면 생각이 자주나는걸로요 ㅎㅎ 아무래도 지속적이면서도 오래쓸수있는거겠죠 화장품은 소비성이니 비추천드려요! 닉네임찌누 ',\n",
" ' 질문 여자친구 선물 추천 부탁드립니다.(목걸이) 2일 전 안녕하세요 여자친구 선물로 목걸이를 선물하고 싶어서 이렇게 글을 올립니다. 제가 쥬얼리 쪽은 브랜드가 어떻게 되어 있는지 잘 몰라서요. 20대 중반 저랑 동갑인... 답변 14K 18k 1부 2부 3부 다이아 큐빅 프러포즈 데일리 목걸이 : 샤밍 주얼리 [샤밍주얼리] 14K 18k 1부 & 2부 3부 다이아 or 큐빅 프러포즈 데일리 목걸이 (우신, 현대... 닉네임샤밍제이 ',\n",
" ' 질문 여자친구 선물 추천 부탁드려요~ 2020.01.20. 저기요...여자친구 선물 추천 좀 해 주세요~ 너무 부담스럽지 않은 가벼운 종류로 찾고... 없이 좋아하면서도 실용적인 그런 종류로 괜찮은 여자친구 선물 추천 부탁드립니다~ 답변 저는 여자친구 선물 추천으로 천연 성분으로 된 스킨... 같아서 여자친구 선물 추천으로 딱인 것 같아요~~ 저도... 역시 여자친구 선물 추천이라고 하면 꽃!! 하지만 진짜... 닉네임hm8h**** ',\n",
" \" 질문 여자친구 선물 2020.04.29. 여자친구 선물 로즈데이에 장미 외에 선물할 수 있는 게 있을까요? 아직 연애 초라서 여러가지 기념일을 많이 챙겨주고 싶네요. 답변 저는 조금 특별한 선물을 추천해드립니다. 아마 처음보시는 상품일거에요! 남들처럼 흔하지 않고 소중하고 기억에 남을 수 있는 '향기나는 사진 하바리움 무드등... 닉네임gnsr**** \",\n",
" ' 질문 여자친구 선물로 감동적인게 뭐가 있을까요? 2020.04.07. 나중에 헤어진다고 해도 평생 저를 잊을 수 없는 선물을 해주고 싶어요 선물이라는게 정성이지만 직접 만들고 꾸미는 건 재주가 없어서 못하고요 여자친구 선물로... 답변 안녕하세요 여자친구 선물을 고민하고 계시군요 제가... 있더라고요 여자 친구 선물로 값비싼 선물보다 오래도록... 있고요 여자친구 선물로 로얄워터의 잊을 수 없는 향을... 닉네임dbgh**** ',\n",
" ' 질문 10대 여자친구 선물 뭘 사야할까요? 2019.06.18. 곧 그 친구 생일이 다가와서요. 10대 여자친구 선물로는 뭐가 괜찮을까요? 너무 비싸지 않으면서도 좀 괜찮은 10대 여자친구 선물 추천해주세요! 답변 ㅎㅎ 10대 여자친구 선물로는 뭐가 좋을까라니.. ㅎㅎ 저는10대 여자친구 선물로 라노아 퓨어플라워 스킨, 로션... 10대 여자친구 선물로 주기에 여러모로 너무 좋은거... 닉네임k6hi**** ',\n",
" ' 질문 여자친구 선물 ..감동받게 하고 싶어요 2020.01.05. 여친이 좋아할만한거 줘야 하는데 뭘 사야 할까요? 감동받을수있는 여자친구 생일 선물 추천 부탁드려요ㅠ 이번 생일에는 정말 괜찮은 여자친구 선물 해주고 싶어요. 답변 여자친구 선물로 옷이나 신발 이런 것보다 화장품 줬을 때가 제일 반응 좋았네요... 아무리 생각해 봐도 이런 기초화장품 세트가 여자친구 선물로 제일 좋은 것 같아요! 닉네임5p9f**** ',\n",
" ' 질문 여자친구 선물 2020.02.13. 선물을 해주고 싶은데요, 어떤 선물이 나을까요? 향수나 그런거도 포함해서 받으면 좋을 거 같은 선물 추천해주세요. 답변 안녕하세요 질문자님!! 여자친구 생일선물 고민하고 계시군요! 향수와 꽃도 좋고 쥬얼리 좋아하면 목걸이 팔찌도 좋을 것 같아요 답변이 도움이 되었으면 하고요 좋은 하루... 닉네임쏘야볶음 ',\n",
" ' 질문 30대여자친구선물 여러개 추천좀 해주세요 2019.08.22. 30대여자친구선물로 좋은 거 여러개 추천해주세요. 그 중에서 골라서 선물하던지... 그동안 30대여자친구선물이라고 함은 향수, 시계, 목걸이, 등등 딱히 엄청나게 좋아했던... 답변 30대여자친구선물 같은 경우는 실용적인 걸 원하는 경우가 많습니다. 그간 사줬던... 답변처럼 좀 더 건강에 깊숙히 관련된 30대여자친구선물이면 더 좋아할거 같습니다. 닉네임chwu**** ',\n",
" ' 질문 여자친구 선물로 ysl뷰티 팩트를 선 2019.11.02. 여자친구 선물로 ysl뷰티 팩트를 선물해주려고 합니다 지금 현제 메이크업포에버 팩트 24호를 쓰고 잇습니다 ysl뷰티 팩트를 사려고 하는데 몇호로 사야할까요 ㅠㅠ... 답변 여자친구 선물 추천 사이트 입니다 https://timeanbox.com/woman-for-gift/ 여자를 위한 선물 - Time An Box 여자를 위한 선물 여자들을 위한 이쁜 선물(맘에 들까?)... 닉네임sik5**** ',\n",
" ' 연관검색어도움말 여자친구목걸이 스킨케어 여자스킨로션추천 여자30대선물 에센스추천 20대여자친구선물 여자친구선물뷰티디바이스 선물 여자친구생일선물 여자근력운동 닫기 후 1주일간 유지됩니다. 연관검색어를 다시 보시겠습니까? 열기 ',\n",
" ' 기본검색 입력한 단어가 하나이상 포함된 문서 검색 ',\n",
" ' 상세검색 정확히 일치하는 단어/문장(\" \") 반드시 포함하는 단어(+) 제외하는 단어(-) 기본검색의 결과 범위를 줄이고자 할 때 사용합니다.여러개의 단어를 입력하실 때는쉼표(,)로 구분해서 입력하세요. ',\n",
" ' 질문 여자친구 선물해주려구요 5일 전 여자친구가 첨으로 독립을 하게되서 축하기념으로 선물하려하는데요 여자친구 선물은 서프라이즈로 하고픈데 화장품이나 악세사리같은거는 제가 잘모르기도 하고 여자친구... 답변 여자친구 선물로 좀 특별한걸 선물해주세요 보면 생각이 자주나는걸로요 ㅎㅎ 아무래도 지속적이면서도 오래쓸수있는거겠죠 화장품은 소비성이니 비추천드려요! 닉네임찌누 ',\n",
" ' 질문 여자친구 선물 추천 부탁드립니다.(목걸이) 2일 전 안녕하세요 여자친구 선물로 목걸이를 선물하고 싶어서 이렇게 글을 올립니다. 제가 쥬얼리 쪽은 브랜드가 어떻게 되어 있는지 잘 몰라서요. 20대 중반 저랑 동갑인... 답변 14K 18k 1부 2부 3부 다이아 큐빅 프러포즈 데일리 목걸이 : 샤밍 주얼리 [샤밍주얼리] 14K 18k 1부 & 2부 3부 다이아 or 큐빅 프러포즈 데일리 목걸이 (우신, 현대... 닉네임샤밍제이 ',\n",
" ' 질문 여자친구 선물 추천 부탁드려요~ 2020.01.20. 저기요...여자친구 선물 추천 좀 해 주세요~ 너무 부담스럽지 않은 가벼운 종류로 찾고... 없이 좋아하면서도 실용적인 그런 종류로 괜찮은 여자친구 선물 추천 부탁드립니다~ 답변 저는 여자친구 선물 추천으로 천연 성분으로 된 스킨... 같아서 여자친구 선물 추천으로 딱인 것 같아요~~ 저도... 역시 여자친구 선물 추천이라고 하면 꽃!! 하지만 진짜... 닉네임hm8h**** ',\n",
" \" 질문 여자친구 선물 2020.04.29. 여자친구 선물 로즈데이에 장미 외에 선물할 수 있는 게 있을까요? 아직 연애 초라서 여러가지 기념일을 많이 챙겨주고 싶네요. 답변 저는 조금 특별한 선물을 추천해드립니다. 아마 처음보시는 상품일거에요! 남들처럼 흔하지 않고 소중하고 기억에 남을 수 있는 '향기나는 사진 하바리움 무드등... 닉네임gnsr**** \",\n",
" ' 질문 여자친구 선물로 감동적인게 뭐가 있을까요? 2020.04.07. 나중에 헤어진다고 해도 평생 저를 잊을 수 없는 선물을 해주고 싶어요 선물이라는게 정성이지만 직접 만들고 꾸미는 건 재주가 없어서 못하고요 여자친구 선물로... 답변 안녕하세요 여자친구 선물을 고민하고 계시군요 제가... 있더라고요 여자 친구 선물로 값비싼 선물보다 오래도록... 있고요 여자친구 선물로 로얄워터의 잊을 수 없는 향을... 닉네임dbgh**** ',\n",
" ' 질문 10대 여자친구 선물 뭘 사야할까요? 2019.06.18. 곧 그 친구 생일이 다가와서요. 10대 여자친구 선물로는 뭐가 괜찮을까요? 너무 비싸지 않으면서도 좀 괜찮은 10대 여자친구 선물 추천해주세요! 답변 ㅎㅎ 10대 여자친구 선물로는 뭐가 좋을까라니.. ㅎㅎ 저는10대 여자친구 선물로 라노아 퓨어플라워 스킨, 로션... 10대 여자친구 선물로 주기에 여러모로 너무 좋은거... 닉네임k6hi**** ',\n",
" ' 질문 여자친구 선물 ..감동받게 하고 싶어요 2020.01.05. 여친이 좋아할만한거 줘야 하는데 뭘 사야 할까요? 감동받을수있는 여자친구 생일 선물 추천 부탁드려요ㅠ 이번 생일에는 정말 괜찮은 여자친구 선물 해주고 싶어요. 답변 여자친구 선물로 옷이나 신발 이런 것보다 화장품 줬을 때가 제일 반응 좋았네요... 아무리 생각해 봐도 이런 기초화장품 세트가 여자친구 선물로 제일 좋은 것 같아요! 닉네임5p9f**** ',\n",
" ' 질문 여자친구 선물 2020.02.13. 선물을 해주고 싶은데요, 어떤 선물이 나을까요? 향수나 그런거도 포함해서 받으면 좋을 거 같은 선물 추천해주세요. 답변 안녕하세요 질문자님!! 여자친구 생일선물 고민하고 계시군요! 향수와 꽃도 좋고 쥬얼리 좋아하면 목걸이 팔찌도 좋을 것 같아요 답변이 도움이 되었으면 하고요 좋은 하루... 닉네임쏘야볶음 ',\n",
" ' 질문 30대여자친구선물 여러개 추천좀 해주세요 2019.08.22. 30대여자친구선물로 좋은 거 여러개 추천해주세요. 그 중에서 골라서 선물하던지... 그동안 30대여자친구선물이라고 함은 향수, 시계, 목걸이, 등등 딱히 엄청나게 좋아했던... 답변 30대여자친구선물 같은 경우는 실용적인 걸 원하는 경우가 많습니다. 그간 사줬던... 답변처럼 좀 더 건강에 깊숙히 관련된 30대여자친구선물이면 더 좋아할거 같습니다. 닉네임chwu**** ',\n",
" ' 질문 여자친구 선물로 ysl뷰티 팩트를 선 2019.11.02. 여자친구 선물로 ysl뷰티 팩트를 선물해주려고 합니다 지금 현제 메이크업포에버 팩트 24호를 쓰고 잇습니다 ysl뷰티 팩트를 사려고 하는데 몇호로 사야할까요 ㅠㅠ... 답변 여자친구 선물 추천 사이트 입니다 https://timeanbox.com/woman-for-gift/ 여자를 위한 선물 - Time An Box 여자를 위한 선물 여자들을 위한 이쁜 선물(맘에 들까?)... 닉네임sik5**** ',\n",
" ' 연관검색어도움말 여자친구목걸이 스킨케어 여자스킨로션추천 여자30대선물 에센스추천 20대여자친구선물 여자친구선물뷰티디바이스 선물 여자친구생일선물 여자근력운동 닫기 후 1주일간 유지됩니다. 연관검색어를 다시 보시겠습니까? 열기 ',\n",
" ' 기본검색 입력한 단어가 하나이상 포함된 문서 검색 ',\n",
" ' 상세검색 정확히 일치하는 단어/문장(\" \") 반드시 포함하는 단어(+) 제외하는 단어(-) 기본검색의 결과 범위를 줄이고자 할 때 사용합니다.여러개의 단어를 입력하실 때는쉼표(,)로 구분해서 입력하세요. ',\n",
" ' 질문 여자친구 선물해주려구요 5일 전 여자친구가 첨으로 독립을 하게되서 축하기념으로 선물하려하는데요 여자친구 선물은 서프라이즈로 하고픈데 화장품이나 악세사리같은거는 제가 잘모르기도 하고 여자친구... 답변 여자친구 선물로 좀 특별한걸 선물해주세요 보면 생각이 자주나는걸로요 ㅎㅎ 아무래도 지속적이면서도 오래쓸수있는거겠죠 화장품은 소비성이니 비추천드려요! 닉네임찌누 ',\n",
" ' 질문 여자친구 선물 추천 부탁드립니다.(목걸이) 2일 전 안녕하세요 여자친구 선물로 목걸이를 선물하고 싶어서 이렇게 글을 올립니다. 제가 쥬얼리 쪽은 브랜드가 어떻게 되어 있는지 잘 몰라서요. 20대 중반 저랑 동갑인... 답변 14K 18k 1부 2부 3부 다이아 큐빅 프러포즈 데일리 목걸이 : 샤밍 주얼리 [샤밍주얼리] 14K 18k 1부 & 2부 3부 다이아 or 큐빅 프러포즈 데일리 목걸이 (우신, 현대... 닉네임샤밍제이 ',\n",
" ' 질문 여자친구 선물 추천 부탁드려요~ 2020.01.20. 저기요...여자친구 선물 추천 좀 해 주세요~ 너무 부담스럽지 않은 가벼운 종류로 찾고... 없이 좋아하면서도 실용적인 그런 종류로 괜찮은 여자친구 선물 추천 부탁드립니다~ 답변 저는 여자친구 선물 추천으로 천연 성분으로 된 스킨... 같아서 여자친구 선물 추천으로 딱인 것 같아요~~ 저도... 역시 여자친구 선물 추천이라고 하면 꽃!! 하지만 진짜... 닉네임hm8h**** ',\n",
" \" 질문 여자친구 선물 2020.04.29. 여자친구 선물 로즈데이에 장미 외에 선물할 수 있는 게 있을까요? 아직 연애 초라서 여러가지 기념일을 많이 챙겨주고 싶네요. 답변 저는 조금 특별한 선물을 추천해드립니다. 아마 처음보시는 상품일거에요! 남들처럼 흔하지 않고 소중하고 기억에 남을 수 있는 '향기나는 사진 하바리움 무드등... 닉네임gnsr**** \",\n",
" ' 질문 여자친구 선물로 감동적인게 뭐가 있을까요? 2020.04.07. 나중에 헤어진다고 해도 평생 저를 잊을 수 없는 선물을 해주고 싶어요 선물이라는게 정성이지만 직접 만들고 꾸미는 건 재주가 없어서 못하고요 여자친구 선물로... 답변 안녕하세요 여자친구 선물을 고민하고 계시군요 제가... 있더라고요 여자 친구 선물로 값비싼 선물보다 오래도록... 있고요 여자친구 선물로 로얄워터의 잊을 수 없는 향을... 닉네임dbgh**** ',\n",
" ' 질문 10대 여자친구 선물 뭘 사야할까요? 2019.06.18. 곧 그 친구 생일이 다가와서요. 10대 여자친구 선물로는 뭐가 괜찮을까요? 너무 비싸지 않으면서도 좀 괜찮은 10대 여자친구 선물 추천해주세요! 답변 ㅎㅎ 10대 여자친구 선물로는 뭐가 좋을까라니.. ㅎㅎ 저는10대 여자친구 선물로 라노아 퓨어플라워 스킨, 로션... 10대 여자친구 선물로 주기에 여러모로 너무 좋은거... 닉네임k6hi**** ',\n",
" ' 질문 여자친구 선물 ..감동받게 하고 싶어요 2020.01.05. 여친이 좋아할만한거 줘야 하는데 뭘 사야 할까요? 감동받을수있는 여자친구 생일 선물 추천 부탁드려요ㅠ 이번 생일에는 정말 괜찮은 여자친구 선물 해주고 싶어요. 답변 여자친구 선물로 옷이나 신발 이런 것보다 화장품 줬을 때가 제일 반응 좋았네요... 아무리 생각해 봐도 이런 기초화장품 세트가 여자친구 선물로 제일 좋은 것 같아요! 닉네임5p9f**** ',\n",
" ' 질문 여자친구 선물 2020.02.13. 선물을 해주고 싶은데요, 어떤 선물이 나을까요? 향수나 그런거도 포함해서 받으면 좋을 거 같은 선물 추천해주세요. 답변 안녕하세요 질문자님!! 여자친구 생일선물 고민하고 계시군요! 향수와 꽃도 좋고 쥬얼리 좋아하면 목걸이 팔찌도 좋을 것 같아요 답변이 도움이 되었으면 하고요 좋은 하루... 닉네임쏘야볶음 ',\n",
" ' 질문 30대여자친구선물 여러개 추천좀 해주세요 2019.08.22. 30대여자친구선물로 좋은 거 여러개 추천해주세요. 그 중에서 골라서 선물하던지... 그동안 30대여자친구선물이라고 함은 향수, 시계, 목걸이, 등등 딱히 엄청나게 좋아했던... 답변 30대여자친구선물 같은 경우는 실용적인 걸 원하는 경우가 많습니다. 그간 사줬던... 답변처럼 좀 더 건강에 깊숙히 관련된 30대여자친구선물이면 더 좋아할거 같습니다. 닉네임chwu**** ',\n",
" ' 질문 여자친구 선물로 ysl뷰티 팩트를 선 2019.11.02. 여자친구 선물로 ysl뷰티 팩트를 선물해주려고 합니다 지금 현제 메이크업포에버 팩트 24호를 쓰고 잇습니다 ysl뷰티 팩트를 사려고 하는데 몇호로 사야할까요 ㅠㅠ... 답변 여자친구 선물 추천 사이트 입니다 https://timeanbox.com/woman-for-gift/ 여자를 위한 선물 - Time An Box 여자를 위한 선물 여자들을 위한 이쁜 선물(맘에 들까?)... 닉네임sik5**** ',\n",
" ' 연관검색어도움말 여자친구목걸이 스킨케어 여자스킨로션추천 여자30대선물 에센스추천 20대여자친구선물 여자친구선물뷰티디바이스 선물 여자친구생일선물 여자근력운동 닫기 후 1주일간 유지됩니다. 연관검색어를 다시 보시겠습니까? 열기 ',\n",
" ' 기본검색 입력한 단어가 하나이상 포함된 문서 검색 ',\n",
" ' 상세검색 정확히 일치하는 단어/문장(\" \") 반드시 포함하는 단어(+) 제외하는 단어(-) 기본검색의 결과 범위를 줄이고자 할 때 사용합니다.여러개의 단어를 입력하실 때는쉼표(,)로 구분해서 입력하세요. ',\n",
" ' 질문 여자친구 선물해주려구요 5일 전 여자친구가 첨으로 독립을 하게되서 축하기념으로 선물하려하는데요 여자친구 선물은 서프라이즈로 하고픈데 화장품이나 악세사리같은거는 제가 잘모르기도 하고 여자친구... 답변 여자친구 선물로 좀 특별한걸 선물해주세요 보면 생각이 자주나는걸로요 ㅎㅎ 아무래도 지속적이면서도 오래쓸수있는거겠죠 화장품은 소비성이니 비추천드려요! 닉네임찌누 ',\n",
" ' 질문 여자친구 선물 추천 부탁드립니다.(목걸이) 2일 전 안녕하세요 여자친구 선물로 목걸이를 선물하고 싶어서 이렇게 글을 올립니다. 제가 쥬얼리 쪽은 브랜드가 어떻게 되어 있는지 잘 몰라서요. 20대 중반 저랑 동갑인... 답변 14K 18k 1부 2부 3부 다이아 큐빅 프러포즈 데일리 목걸이 : 샤밍 주얼리 [샤밍주얼리] 14K 18k 1부 & 2부 3부 다이아 or 큐빅 프러포즈 데일리 목걸이 (우신, 현대... 닉네임샤밍제이 ',\n",
" ' 질문 여자친구 선물 추천 부탁드려요~ 2020.01.20. 저기요...여자친구 선물 추천 좀 해 주세요~ 너무 부담스럽지 않은 가벼운 종류로 찾고... 없이 좋아하면서도 실용적인 그런 종류로 괜찮은 여자친구 선물 추천 부탁드립니다~ 답변 저는 여자친구 선물 추천으로 천연 성분으로 된 스킨... 같아서 여자친구 선물 추천으로 딱인 것 같아요~~ 저도... 역시 여자친구 선물 추천이라고 하면 꽃!! 하지만 진짜... 닉네임hm8h**** ',\n",
" \" 질문 여자친구 선물 2020.04.29. 여자친구 선물 로즈데이에 장미 외에 선물할 수 있는 게 있을까요? 아직 연애 초라서 여러가지 기념일을 많이 챙겨주고 싶네요. 답변 저는 조금 특별한 선물을 추천해드립니다. 아마 처음보시는 상품일거에요! 남들처럼 흔하지 않고 소중하고 기억에 남을 수 있는 '향기나는 사진 하바리움 무드등... 닉네임gnsr**** \",\n",
" ' 질문 여자친구 선물로 감동적인게 뭐가 있을까요? 2020.04.07. 나중에 헤어진다고 해도 평생 저를 잊을 수 없는 선물을 해주고 싶어요 선물이라는게 정성이지만 직접 만들고 꾸미는 건 재주가 없어서 못하고요 여자친구 선물로... 답변 안녕하세요 여자친구 선물을 고민하고 계시군요 제가... 있더라고요 여자 친구 선물로 값비싼 선물보다 오래도록... 있고요 여자친구 선물로 로얄워터의 잊을 수 없는 향을... 닉네임dbgh**** ',\n",
" ' 질문 10대 여자친구 선물 뭘 사야할까요? 2019.06.18. 곧 그 친구 생일이 다가와서요. 10대 여자친구 선물로는 뭐가 괜찮을까요? 너무 비싸지 않으면서도 좀 괜찮은 10대 여자친구 선물 추천해주세요! 답변 ㅎㅎ 10대 여자친구 선물로는 뭐가 좋을까라니.. ㅎㅎ 저는10대 여자친구 선물로 라노아 퓨어플라워 스킨, 로션... 10대 여자친구 선물로 주기에 여러모로 너무 좋은거... 닉네임k6hi**** ',\n",
" ' 질문 여자친구 선물 ..감동받게 하고 싶어요 2020.01.05. 여친이 좋아할만한거 줘야 하는데 뭘 사야 할까요? 감동받을수있는 여자친구 생일 선물 추천 부탁드려요ㅠ 이번 생일에는 정말 괜찮은 여자친구 선물 해주고 싶어요. 답변 여자친구 선물로 옷이나 신발 이런 것보다 화장품 줬을 때가 제일 반응 좋았네요... 아무리 생각해 봐도 이런 기초화장품 세트가 여자친구 선물로 제일 좋은 것 같아요! 닉네임5p9f**** ',\n",
" ' 질문 여자친구 선물 2020.02.13. 선물을 해주고 싶은데요, 어떤 선물이 나을까요? 향수나 그런거도 포함해서 받으면 좋을 거 같은 선물 추천해주세요. 답변 안녕하세요 질문자님!! 여자친구 생일선물 고민하고 계시군요! 향수와 꽃도 좋고 쥬얼리 좋아하면 목걸이 팔찌도 좋을 것 같아요 답변이 도움이 되었으면 하고요 좋은 하루... 닉네임쏘야볶음 ',\n",
" ' 질문 30대여자친구선물 여러개 추천좀 해주세요 2019.08.22. 30대여자친구선물로 좋은 거 여러개 추천해주세요. 그 중에서 골라서 선물하던지... 그동안 30대여자친구선물이라고 함은 향수, 시계, 목걸이, 등등 딱히 엄청나게 좋아했던... 답변 30대여자친구선물 같은 경우는 실용적인 걸 원하는 경우가 많습니다. 그간 사줬던... 답변처럼 좀 더 건강에 깊숙히 관련된 30대여자친구선물이면 더 좋아할거 같습니다. 닉네임chwu**** ',\n",
" ' 질문 여자친구 선물로 ysl뷰티 팩트를 선 2019.11.02. 여자친구 선물로 ysl뷰티 팩트를 선물해주려고 합니다 지금 현제 메이크업포에버 팩트 24호를 쓰고 잇습니다 ysl뷰티 팩트를 사려고 하는데 몇호로 사야할까요 ㅠㅠ... 답변 여자친구 선물 추천 사이트 입니다 https://timeanbox.com/woman-for-gift/ 여자를 위한 선물 - Time An Box 여자를 위한 선물 여자들을 위한 이쁜 선물(맘에 들까?)... 닉네임sik5**** ',\n",
" ' 연관검색어도움말 여자친구목걸이 스킨케어 여자스킨로션추천 여자30대선물 에센스추천 20대여자친구선물 여자친구선물뷰티디바이스 선물 여자친구생일선물 여자근력운동 닫기 후 1주일간 유지됩니다. 연관검색어를 다시 보시겠습니까? 열기 ',\n",
" ' 기본검색 입력한 단어가 하나이상 포함된 문서 검색 ',\n",
" ' 상세검색 정확히 일치하는 단어/문장(\" \") 반드시 포함하는 단어(+) 제외하는 단어(-) 기본검색의 결과 범위를 줄이고자 할 때 사용합니다.여러개의 단어를 입력하실 때는쉼표(,)로 구분해서 입력하세요. ',\n",
" ' 질문 여자친구 선물해주려구요 5일 전 여자친구가 첨으로 독립을 하게되서 축하기념으로 선물하려하는데요 여자친구 선물은 서프라이즈로 하고픈데 화장품이나 악세사리같은거는 제가 잘모르기도 하고 여자친구... 답변 여자친구 선물로 좀 특별한걸 선물해주세요 보면 생각이 자주나는걸로요 ㅎㅎ 아무래도 지속적이면서도 오래쓸수있는거겠죠 화장품은 소비성이니 비추천드려요! 닉네임찌누 ',\n",
" ' 질문 여자친구 선물 추천 부탁드립니다.(목걸이) 2일 전 안녕하세요 여자친구 선물로 목걸이를 선물하고 싶어서 이렇게 글을 올립니다. 제가 쥬얼리 쪽은 브랜드가 어떻게 되어 있는지 잘 몰라서요. 20대 중반 저랑 동갑인... 답변 14K 18k 1부 2부 3부 다이아 큐빅 프러포즈 데일리 목걸이 : 샤밍 주얼리 [샤밍주얼리] 14K 18k 1부 & 2부 3부 다이아 or 큐빅 프러포즈 데일리 목걸이 (우신, 현대... 닉네임샤밍제이 ',\n",
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