tf-idf.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "5718508c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "355c6e1f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>제목</th>\n",
       "      <th>본문</th>\n",
       "      <th>통합 분류1</th>\n",
       "      <th>본문정리morphs</th>\n",
       "      <th>본문정리nouns</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>한국학중앙연구원 새 이사장 유홍준 교수</td>\n",
       "      <td>한국학중앙연구원 원장 안병우 은 지난 25일 이사회를 열고 새 이사장으로 유홍준 7...</td>\n",
       "      <td>문화</td>\n",
       "      <td>['한', '국학', '중앙', '연구원', '원장', '안병', '우', '은',...</td>\n",
       "      <td>['국학', '중앙', '연구원', '원장', '안병', '은', '지난', '이사...</td>\n",
       "      <td>['국학', '중앙', '연구원', '원장', '안병', '은', '지난', '이사...</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>“통일 후 대만인 연봉 86만 원 올리기는 식은 죽 먹기”...中 장밋빛 미래 제시</td>\n",
       "      <td>중국 당국이 통일 후 대만인의 평균 연봉을 2만 대만 달러 약 86만 원  이상 인...</td>\n",
       "      <td>정치</td>\n",
       "      <td>['중국', '당국', '이', '통일', '후', '대만인', '의', '평균',...</td>\n",
       "      <td>['중국', '당국', '통일', '후', '대만인', '평균', '연봉', '대만...</td>\n",
       "      <td>['중국', '당국', '통일', '후', '대만인', '평균', '연봉', '대만...</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>올 수능 작년보다 어려웠다</td>\n",
       "      <td>문 이과 첫 통합으로 치러진 2022학년도 대학수학능력시험 수능 은 전반적으로 지난...</td>\n",
       "      <td>사회</td>\n",
       "      <td>['문', '이과', '첫', '통합', '으로', '치러지다', '2022', '...</td>\n",
       "      <td>['문', '이과', '첫', '통합', '학년', '대학', '수학', '능력',...</td>\n",
       "      <td>['문', '이과', '첫', '통합', '학년', '대학', '수학', '능력',...</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>‘10대 최강자’ 김주형 “이루고 싶은 것 다 이뤘다 다시 美 도전”</td>\n",
       "      <td>헤럴드경제 파주  조범자 기자   이루고 싶은 목표를 다 이뤘다  다시 준비 잘 ...</td>\n",
       "      <td>스포츠</td>\n",
       "      <td>['헤럴드경제', '파주', '조', '범자', '기자', '이루다', '싶다', ...</td>\n",
       "      <td>['헤럴드경제', '파주', '범자', '기자', '목표', '다시', '준비', ...</td>\n",
       "      <td>['헤럴드경제', '파주', '범자', '기자', '목표', '다시', '준비', ...</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>축구 국가대표 황희찬, 모교 포철고에 3000만원 기부</td>\n",
       "      <td>축구 국가대표 공격수 황희찬 선수가 15일 모교인 경북 포항제철고교 이하 포철고 에...</td>\n",
       "      <td>스포츠</td>\n",
       "      <td>['축구', '국가대표', '공격수', '황희', '찬', '선수', '가', '1...</td>\n",
       "      <td>['축구', '국가대표', '공격수', '황희', '찬', '선수', '모교', '...</td>\n",
       "      <td>['축구', '국가대표', '공격수', '황희', '찬', '선수', '모교', '...</td>\n",
       "      <td>5</td>\n",
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      "text/plain": [
       "                                               제목  \\\n",
       "0                           한국학중앙연구원 새 이사장 유홍준 교수   \n",
       "1  “통일 후 대만인 연봉 86만 원 올리기는 식은 죽 먹기”...中 장밋빛 미래 제시   \n",
       "2                                  올 수능 작년보다 어려웠다   \n",
       "3          ‘10대 최강자’ 김주형 “이루고 싶은 것 다 이뤘다 다시 美 도전”   \n",
       "4                  축구 국가대표 황희찬, 모교 포철고에 3000만원 기부   \n",
       "\n",
       "                                                  본문 통합 분류1  \\\n",
       "0  한국학중앙연구원 원장 안병우 은 지난 25일 이사회를 열고 새 이사장으로 유홍준 7...     문화   \n",
       "1  중국 당국이 통일 후 대만인의 평균 연봉을 2만 대만 달러 약 86만 원  이상 인...     정치   \n",
       "2  문 이과 첫 통합으로 치러진 2022학년도 대학수학능력시험 수능 은 전반적으로 지난...     사회   \n",
       "3   헤럴드경제 파주  조범자 기자   이루고 싶은 목표를 다 이뤘다  다시 준비 잘 ...    스포츠   \n",
       "4  축구 국가대표 공격수 황희찬 선수가 15일 모교인 경북 포항제철고교 이하 포철고 에...    스포츠   \n",
       "\n",
       "                                          본문정리morphs  \\\n",
       "0  ['한', '국학', '중앙', '연구원', '원장', '안병', '우', '은',...   \n",
       "1  ['중국', '당국', '이', '통일', '후', '대만인', '의', '평균',...   \n",
       "2  ['문', '이과', '첫', '통합', '으로', '치러지다', '2022', '...   \n",
       "3  ['헤럴드경제', '파주', '조', '범자', '기자', '이루다', '싶다', ...   \n",
       "4  ['축구', '국가대표', '공격수', '황희', '찬', '선수', '가', '1...   \n",
       "\n",
       "                                           본문정리nouns  \\\n",
       "0  ['국학', '중앙', '연구원', '원장', '안병', '은', '지난', '이사...   \n",
       "1  ['중국', '당국', '통일', '후', '대만인', '평균', '연봉', '대만...   \n",
       "2  ['문', '이과', '첫', '통합', '학년', '대학', '수학', '능력',...   \n",
       "3  ['헤럴드경제', '파주', '범자', '기자', '목표', '다시', '준비', ...   \n",
       "4  ['축구', '국가대표', '공격수', '황희', '찬', '선수', '모교', '...   \n",
       "\n",
       "                                             본문정리pos  숫자카테고리  \n",
       "0  ['국학', '중앙', '연구원', '원장', '안병', '은', '지난', '이사...       3  \n",
       "1  ['중국', '당국', '통일', '후', '대만인', '평균', '연봉', '대만...       6  \n",
       "2  ['문', '이과', '첫', '통합', '학년', '대학', '수학', '능력',...       4  \n",
       "3  ['헤럴드경제', '파주', '범자', '기자', '목표', '다시', '준비', ...       5  \n",
       "4  ['축구', '국가대표', '공격수', '황희', '찬', '선수', '모교', '...       5  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data=pd.read_csv('okt.csv',index_col='Unnamed: 0')\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4e07b13a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'축구 국가대표 공격수 황희찬 선수가 15일 모교인 경북 포항제철고교 이하 포철고 에 발전기금 3000만원을 기탁했다     15일 포스코교육재단에 따르면  이날 오전 포스코교육재단 산하 포철고 역사관에서 황희찬 선수를 대신해 아버지 황원경씨가 포철고에 발전기금 3000만원을 전달했다     황원경씨는  아들을 우수한 선수로 육성해 준 포철고에 감사한 마  '"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['본문'][4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2bab49d5",
   "metadata": {},
   "outputs": [],
   "source": [
    "data=data.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c042db2b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>제목</th>\n",
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       "      <th>통합 분류1</th>\n",
       "      <th>본문정리morphs</th>\n",
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       "      <th>0</th>\n",
       "      <td>한국학중앙연구원 새 이사장 유홍준 교수</td>\n",
       "      <td>한국학중앙연구원 원장 안병우 은 지난 25일 이사회를 열고 새 이사장으로 유홍준 7...</td>\n",
       "      <td>문화</td>\n",
       "      <td>['한', '국학', '중앙', '연구원', '원장', '안병', '우', '은',...</td>\n",
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       "                      제목                                                 본문  \\\n",
       "0  한국학중앙연구원 새 이사장 유홍준 교수  한국학중앙연구원 원장 안병우 은 지난 25일 이사회를 열고 새 이사장으로 유홍준 7...   \n",
       "\n",
       "  통합 분류1                                         본문정리morphs  \\\n",
       "0     문화  ['한', '국학', '중앙', '연구원', '원장', '안병', '우', '은',...   \n",
       "\n",
       "                                           본문정리nouns  \\\n",
       "0  ['국학', '중앙', '연구원', '원장', '안병', '은', '지난', '이사...   \n",
       "\n",
       "                                             본문정리pos  숫자카테고리  \n",
       "0  ['국학', '중앙', '연구원', '원장', '안병', '은', '지난', '이사...       3  "
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   "cell_type": "code",
   "execution_count": 7,
   "id": "e9e9a2b4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'한국학중앙연구원 원장 안병우 은 지난 25일 이사회를 열고 새 이사장으로 유홍준 72  명지대 석좌교수를 선임했다고 29일 밝혔다  미술사학자인 유 신임 이사장은 베스트셀러  나의 문화유산답사기  지은이로 잘 알려져 있으며  노무현 정부 시절인 2004 2008년 문화재청장을 지낸 바 있다  지난 2018년부터 한국학중앙연구원 이사로 재임해왔다  이사장  '"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['본문'][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d2b6614d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>본문</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>한국학중앙연구원 원장 안병우 은 지난 25일 이사회를 열고 새 이사장으로 유홍준 7...</td>\n",
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      "text/plain": [
       "                                                  본문\n",
       "0  한국학중앙연구원 원장 안병우 은 지난 25일 이사회를 열고 새 이사장으로 유홍준 7..."
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "l=[]\n",
    "l.append(data['본문'][0])\n",
    "d={}\n",
    "d['본문']=l\n",
    "z=pd.DataFrame.from_dict(d)\n",
    "z"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c5a1f60b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
    "from collections import defaultdict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "bfc5b842",
   "metadata": {},
   "outputs": [],
   "source": [
    "vectorizer = TfidfVectorizer()\n",
    "matrix = vectorizer.fit_transform(data['본문'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "585c2e2f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====== document[0] ======\n"
     ]
    }
   ],
   "source": [
    "word2id = defaultdict(lambda : 0)\n",
    "for idx, feature in enumerate(vectorizer.get_feature_names_out()):\n",
    "    word2id[feature] = idx\n",
    "l=[]\n",
    "for i, sent in enumerate(data['본문']):\n",
    "    print('====== document[%d] ======' % i)\n",
    "    l.append([ (token, matrix[i, word2id[token]]) for token in sent.split() ] )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "7bd6a847",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[('한국학중앙연구원', 0.3086066999241838), ('원장', 0.1543033499620919), ('안병우', 0.1543033499620919), ('은', 0.1543033499620919), ('지난', 0.3086066999241838), ('25일', 0.1543033499620919), ('이사회를', 0.1543033499620919), ('열고', 0.1543033499620919), ('새', 0.1543033499620919), ('이사장으로', 0.1543033499620919), ('유홍준', 0.1543033499620919), ('72', 0.1543033499620919), ('명지대', 0.1543033499620919), ('석좌교수를', 0.1543033499620919), ('선임했다고', 0.1543033499620919), ('29일', 0.1543033499620919), ('밝혔다', 0.1543033499620919), ('미술사학자인', 0.1543033499620919), ('유', 0.1543033499620919), ('신임', 0.1543033499620919), ('이사장은', 0.1543033499620919), ('베스트셀러', 0.1543033499620919), ('나의', 0.1543033499620919), ('문화유산답사기', 0.1543033499620919), ('지은이로', 0.1543033499620919), ('잘', 0.1543033499620919), ('알려져', 0.1543033499620919), ('있으며', 0.1543033499620919), ('노무현', 0.1543033499620919), ('정부', 0.1543033499620919), ('시절인', 0.1543033499620919), ('2004', 0.1543033499620919), ('2008년', 0.1543033499620919), ('문화재청장을', 0.1543033499620919), ('지낸', 0.1543033499620919), ('바', 0.1543033499620919), ('있다', 0.1543033499620919), ('지난', 0.3086066999241838), ('2018년부터', 0.1543033499620919), ('한국학중앙연구원', 0.3086066999241838), ('이사로', 0.1543033499620919), ('재임해왔다', 0.1543033499620919), ('이사장', 0.1543033499620919)]]\n"
     ]
    }
   ],
   "source": [
    "\n",
    "print(l)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "fd6404ba",
   "metadata": {},
   "outputs": [],
   "source": [
    "dic={}\n",
    "\n",
    "dic['tf-idf']=l"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c5f3ce98",
   "metadata": {},
   "outputs": [],
   "source": [
    "dic=pd.DataFrame.from_dict(dic)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "811c6b45",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('한국학중앙연구원', 0.3086066999241838),\n",
       " ('원장', 0.1543033499620919),\n",
       " ('안병우', 0.1543033499620919),\n",
       " ('은', 0.1543033499620919),\n",
       " ('지난', 0.3086066999241838),\n",
       " ('25일', 0.1543033499620919),\n",
       " ('이사회를', 0.1543033499620919),\n",
       " ('열고', 0.1543033499620919),\n",
       " ('새', 0.1543033499620919),\n",
       " ('이사장으로', 0.1543033499620919),\n",
       " ('유홍준', 0.1543033499620919),\n",
       " ('72', 0.1543033499620919),\n",
       " ('명지대', 0.1543033499620919),\n",
       " ('석좌교수를', 0.1543033499620919),\n",
       " ('선임했다고', 0.1543033499620919),\n",
       " ('29일', 0.1543033499620919),\n",
       " ('밝혔다', 0.1543033499620919),\n",
       " ('미술사학자인', 0.1543033499620919),\n",
       " ('유', 0.1543033499620919),\n",
       " ('신임', 0.1543033499620919),\n",
       " ('이사장은', 0.1543033499620919),\n",
       " ('베스트셀러', 0.1543033499620919),\n",
       " ('나의', 0.1543033499620919),\n",
       " ('문화유산답사기', 0.1543033499620919),\n",
       " ('지은이로', 0.1543033499620919),\n",
       " ('잘', 0.1543033499620919),\n",
       " ('알려져', 0.1543033499620919),\n",
       " ('있으며', 0.1543033499620919),\n",
       " ('노무현', 0.1543033499620919),\n",
       " ('정부', 0.1543033499620919),\n",
       " ('시절인', 0.1543033499620919),\n",
       " ('2004', 0.1543033499620919),\n",
       " ('2008년', 0.1543033499620919),\n",
       " ('문화재청장을', 0.1543033499620919),\n",
       " ('지낸', 0.1543033499620919),\n",
       " ('바', 0.1543033499620919),\n",
       " ('있다', 0.1543033499620919),\n",
       " ('지난', 0.3086066999241838),\n",
       " ('2018년부터', 0.1543033499620919),\n",
       " ('한국학중앙연구원', 0.3086066999241838),\n",
       " ('이사로', 0.1543033499620919),\n",
       " ('재임해왔다', 0.1543033499620919),\n",
       " ('이사장', 0.1543033499620919)]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dic['tf-idf'][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "878cb9cb",
   "metadata": {},
   "outputs": [],
   "source": [
    "from wordcloud import WordCloud\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import platform \n",
    "if platform.system() == 'Darwin': #맥\n",
    "    wordcloud=WordCloud(font_path=\"AppleGothic\",width=800,height=800,background_color='white',max_font_size=2000)\n",
    "elif platform.system() == 'Windows': #윈도우\n",
    "    wordcloud=WordCloud(font_path=\"Malgun Gothic\",width=800,height=800,background_color='white',max_font_size=2000)\n",
    "    \n",
    "elif platform.system() == 'Linux': #리눅스 (구글 콜랩)\n",
    "    wordcloud=WordCloud(font_path=\"Malgun Gothic\",width=800,height=800,background_color='white',max_font_size=2000)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "965fc626",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<wordcloud.wordcloud.WordCloud at 0x12f0cf040>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wordcloud.generate_from_frequencies(dict(dic['tf-idf'][0]))\n",
    "# wordcloud.to_file('word.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "4cd3e8e0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.axis('off')\n",
    "plt.imshow(wordcloud)\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "4f8f6676",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'한국학중앙연구원': 35,\n",
       " '원장': 21,\n",
       " '안병우': 18,\n",
       " '지난': 32,\n",
       " '25일': 3,\n",
       " '이사회를': 27,\n",
       " '열고': 20,\n",
       " '이사장으로': 25,\n",
       " '유홍준': 22,\n",
       " '72': 5,\n",
       " '명지대': 8,\n",
       " '석좌교수를': 14,\n",
       " '선임했다고': 15,\n",
       " '29일': 4,\n",
       " '밝혔다': 12,\n",
       " '미술사학자인': 11,\n",
       " '신임': 17,\n",
       " '이사장은': 26,\n",
       " '베스트셀러': 13,\n",
       " '나의': 6,\n",
       " '문화유산답사기': 9,\n",
       " '지은이로': 34,\n",
       " '알려져': 19,\n",
       " '있으며': 29,\n",
       " '노무현': 7,\n",
       " '정부': 31,\n",
       " '시절인': 16,\n",
       " '2004': 0,\n",
       " '2008년': 1,\n",
       " '문화재청장을': 10,\n",
       " '지낸': 33,\n",
       " '있다': 28,\n",
       " '2018년부터': 2,\n",
       " '이사로': 23,\n",
       " '재임해왔다': 30,\n",
       " '이사장': 24}"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vectorizer.vocabulary_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "853352ee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('2004', 0),\n",
       " ('2008년', 1),\n",
       " ('2018년부터', 2),\n",
       " ('25일', 3),\n",
       " ('29일', 4),\n",
       " ('72', 5),\n",
       " ('나의', 6),\n",
       " ('노무현', 7),\n",
       " ('명지대', 8),\n",
       " ('문화유산답사기', 9),\n",
       " ('문화재청장을', 10),\n",
       " ('미술사학자인', 11),\n",
       " ('밝혔다', 12),\n",
       " ('베스트셀러', 13),\n",
       " ('석좌교수를', 14),\n",
       " ('선임했다고', 15),\n",
       " ('시절인', 16),\n",
       " ('신임', 17),\n",
       " ('안병우', 18),\n",
       " ('알려져', 19),\n",
       " ('열고', 20),\n",
       " ('원장', 21),\n",
       " ('유홍준', 22),\n",
       " ('이사로', 23),\n",
       " ('이사장', 24),\n",
       " ('이사장으로', 25),\n",
       " ('이사장은', 26),\n",
       " ('이사회를', 27),\n",
       " ('있다', 28),\n",
       " ('있으며', 29),\n",
       " ('재임해왔다', 30),\n",
       " ('정부', 31),\n",
       " ('지난', 32),\n",
       " ('지낸', 33),\n",
       " ('지은이로', 34),\n",
       " ('한국학중앙연구원', 35)]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted(vectorizer.vocabulary_.items())\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "95e1d6df",
   "metadata": {},
   "outputs": [],
   "source": [
    "a='''경상북도 2025년까지 '듀얼 라이프 프로젝트' 추진…1가구 2주택, 농막 제한 등 현실적 제약 많아경상북도가 도시와 농촌의 공존을 지향하며 '듀얼 라이프 프로젝트'를 추진, 전원생활을 꿈꾸는 이들의 관심을 끌고 있다. 사진은 팔공산 전원주택 모습. 매일신문 DB건설 엔지니어링 업체를 운영하는 50대 후반의 A 씨는 도시에서 일하고 농촌 전원주택에서 생활하며 바닷가 주택에서 힐링한다.울릉도 출신인 그는 2년 전 경북 경산의 도심 아파트에서 탈출했다. 회사에서 차로 20분 거리의 면 소재지에 자리 잡은 전원주택 단지로 이사했다. 앞서 그는 고향의 향수를 그리며 포항 구룡포의 바닷가 빈집을 매입해 리모델링했다. 30여 가구로 구성한 그의 전원주택 단지는 예전 부자들의 별장으로 주로 사용되었으나 요즘에는 매일 거주하는 형태로 변하고 있다. 구룡포에는 낚시와 레저를 겸한 조그만 배를 두고 있다.A 씨 주위 사람들은 부러운 시선으로 그를 바라본다. 일하면서도 여가를 즐기는 그의 모습을 지켜보고 어울리는 것 자체가 힐링이다.대구에 사는 60대 중반의 B 씨 부부는 은퇴 후 집에서 30분 거리 농촌 마을의 한적한 곳에 농막이 딸린 600㎡가량의 땅을 구매했다. 오랜 기간 교사로 맞벌이를 한 부부가 공기 좋은 곳에서 손자들과 함께 떠들며 뛰어놀 공간을 마련한 것이다. B 씨는 \"남에게 피해를 주지 않고 음식을 해먹을 수 있으며 텃밭을 가꾸는 재미도 있다\"고 했다.많은 도시인이 전원생활을 꿈꾸며 실현하고 있다. 들여다보면 전원생활은 예전 농촌 정착형에서 도시와 농촌 공존형으로 바뀌는 추세다. 도시에서 최대한 오랜 기간 일하며 농촌에서 힐링을 꾀하고 있다. 도시에서 의료와 문화 등 문명의 이기를 최대한 누리는 것을 전제로 농촌에서 전원생활을 하기를 바란다. 농촌 지역의 경치 좋은 곳으로 완전히 이주한 이들의 정착 실패 경험담이 많이 알려졌기 때문일 것이다. 큼지막하고 호화롭게 지은 전원주택은 애물단지로 전락한 상태다. 실속 있는 농막형이 대세다.경상북도가 인구 유출에 따른 지방소멸 문제 해결책으로 '두 지역 살기 프로젝트'를 발표했는데, 전원생활을 꿈꾸는 이들의 관심을 끌고 있다. 경북도는 지난달 30일 도시와 지방 간 연결을 통해 유동인구를 늘리는 데 초점을 맞춘 '경북형 듀얼 라이프(Dual Life) 기본계획'을 발표했다. 인구가 밀집한 수도권과 경북의 상생을 꾀하고 있다.듀얼 라이프는 지역과 특별한 관계를 맺고 거점을 마련해 중장기적·정기적·반복적으로 순환 거주하는 두 지역 살기를 뜻한다. 지방의 인력 부족 해소·커뮤니티 활성화·유휴공간 활용·지역경제 활성화 등을 추구한다. 이 프로젝트의 비전은 수도권 인구를 경북으로 유치하는 게 아니라 연결을 통해 '건강할 때 두 지역 생활을 하자'는데 있다. 경북도가 '은퇴자뿐만 아니라 젊은 활동 인구가 모이는 열린 경북'을 지향하며 큰 그림을 그린 것으로 볼 수 있다.기본계획에 따르면 듀얼 라이프 모델은 생산일자리형, 휴양거주형, 교육연수형, 여가체험형, 해외유입형 등 5가지다.생산일자리형은 기업 유치를 통한 일자리 창출, 공공·민간기관의 새로운 근무형태에 따른 인구 유입으로 정주 인구를 확보하는 모델이다. 휴양거주형은 출향인 유입, 정기적 국내·외 방문객 유치로 체류 인구를 확보하는 모델이다. 교육연수형도 공공·민간 기관의 교육·연수생 모집·방문으로 체류 인구를 확보한다. 여가체험형과 해외유입형은 경북도와 지속해서 관계를 맺고 지역에 도움을 줄 수 있는 인구를 확보하는 '관계인구 확보'에 중점을 뒀다.경북도는 1단계로 2022년 듀얼 라이프 종합플랫폼을 구축하고 민관추진협의체를 구성해 운영하며 시·군별 핵심사업(46개)과 공모 사업을 추진한다. 2단계에서는 2023년까지 듀얼 라이프 대중화 운동, 프로그램 개발·운영, 중·장기사업 기본구상과 예산 확보, 국가 시범 사업화, 국비 확보 등을 계획하고 있다. 3단계에서는 2025년까지 완료된 사업을 평가하고 추진 체계를 전국으로 확산하며 지속화를 위한 행정·제도적 지원 체계를 구축한다.상주시와 한국토지주택공사가 공검면 폐교부지를 활용해 추진 중인 귀농·귀촌용 공공주택 사업 조감도. 상주시 제공시·군별 핵심사업으로 경주시는 관광형 치유 작은 정원 조성(휴양거주형)과 체류형 자연농장 운영(여가체험형)을, 포항시는 3·4세대 방사광가속기, 포항공대, 가속기 전문인력 등과 연계한 사업(교육연수형)을 각각 추진한다. 구미시는 산업단지, 외국인 근로자 등과 연계한 사업(생산일자리형)을, 경산시는 지식산업지구 등을 활용, 해외 쇼핑객 유치 등을 위한 '월드 프리미엄 아울렛' 조성(해외유입형)을 구상 중이다.영주시는 귀농 교육, 농업 창업 등을 통해 소백산 귀농드림타운(생산일자리형)을, 상주시는 폐교부지를 활용한 귀농·귀촌 체험형 작은 정원 조성(여가체험형)을, 문경시는 명상과 힐링을 키워드로 '세계 명상마을' 조성을 각각 추진한다.듀얼 라이프 기본계획 수립 과정에서 시행한 전국민 인식 조사(경북도민 제외 만 19세 이상 610명 응답, 지난 4월 5~14일)에 따르면 국민 10명 중 7명은 두 지역에서 살기를 바라고 있다. 이 조사에서 응답자의 13.3%는 이미 두 지역 살기를 실행하고 있으며 53.6%는 앞으로 희망하는 것으로 나타났다. 전체의 66.9%가 두 지역 살기에 긍정적인 응답을 한 것이다.연령대별로는 50대에서 76.0%로 긍정적인 반응이 가장 높았고 40대가 72.2%, 30대 69.9%로 뒤를 이었다. 60대 이상은 59.2%, 20대는 56.7%가 두 지역 살기를 희망했다. 두 지역 살기 선호 지역으로는 경북도 23개 시·군 중 안동이 가장 높았다. 20~30대는 문경과 예천, 50~60대는 울릉, 청송, 울진을 상대적으로 선호했다.듀얼 라이프는 많은 국민이 꿈꾸는 일이다. 1주일에 4, 5일은 본 거주지에서 일하고 주말에 제2의 다른 지역에서 살기를 바라는 것이다. 경북도가 추진하는 '듀얼 라이프 운동'이 1970년대 새마을 운동처럼 확산, 인구 감소에 따른 지방소멸 문제가 해결되기를 바라지만 현실적으론 상당한 제약이 있다.두 지역 살기를 위해서는 법적, 제도적 정비가 뒤따라야 하고 소득 수준과 노동 환경도 뒷받침되어야 한다.도시와 농촌에서 공존하는 A, B 씨는 제2 정착지에 따른 고충을 토로하고 있다. A 씨는 투기 목적으로 여러 곳에 집을 마련한 게 아니지만 1가구 다주택 규제로 신음하고 있다. 기존에 살던 아파트를 처분하지 않고 전세로 두고 있기에 졸지에 1가구 3주택자가 된 상태다. B 씨는 농지 매입 과정에서 농막이 불법 건물 판정을 받아 애를 먹었다. 기존 농막에 설치된 데크와 창고를 뜯어내고 새로 대지 전용 허가를 받아 터전을 마련했다. 이를 위해 그는 관공서의 5, 6개 부서를 찾아다녀야 했고 농지 외 추가 비용을 많이 들였다.이런 제약이 아니더라도 두 지역 살기에 나설 만큼 경제적으로 안정되고 시간 여유가 있는 이들은 많지 않다. 희망을 품고 두 지역 살기에 나선 이들도 가족 외면과 약한 의지 때문에 오래 버티지 못한다. 경북도의 듀얼 라이프 프로젝트가 성공하려면 각 모델에 따른 다양한 인센티브와 세심한 배려가 필요하다.'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "b86c774e",
   "metadata": {},
   "outputs": [],
   "source": [
    "from gensim.summarization.summarizer import summarize\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "ff7ac5d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "a='''민주당 이재명 대선 후보는 '대장동 의혹' 특검 도입과 관련해, \"국민의힘 윤석열 후보 본인 혐의가 드러난 부분을 빼고 하자는 엉뚱한 주장으로 이 문제가 앞으로 진척이 못 되고 있다\"고 말했습니다.\n",
    "이 후보는 오전 경북 칠곡 다부동 전적기념관을 방문한 자리에서, \"처음부터 끝까지 성역 없이 수사하는 특검이 반드시 필요하다\"며 이같이 강조했습니다.\n",
    "이 후보는 \"자꾸 나에게 불리한 것 빼고 상대방에게 정치적으로 불리한 것만 하자는 것은 결국 하지 말라는 것 아닌가\"라고, \"윤 후보 관계된 부분만 빼고 하자? 이게 말이 안 되지 않느냐\"라고 반문했습니다.\n",
    "그러면서, \"돈을 최초 조달할 때 대출 비리를 알고도 덮었다는 혐의가 있는데 당연히 수사해야 한다\"라며, \"그때 그거 덮지 않고 제대로 처벌하지 않고 환수했다면 이 일은 아예 벌어지지 않았을 것\"이라고 지적했습니다.\n",
    "아울러, \"개발이익을 특정인이 과도하게 치부하는 소위 하나은행 중심의 배당설계, 당연히 조사해야 한다\"라며, \"국민의힘이 왜 한국토지주택공사에 공공개발을 포기시키고 성남시 공공개발을 막아서 100% 민간개발업체에 봐주자고 강압했는지도 조사해야 한다\"고 덧붙였습니다.\n",
    "유한기 전 성남도시개발공사 개발사업본부장의 사망에 대해선, \"검찰이 본질은 남겨두고 주변을 뒤지는 수사를 하다가 결국은 누군가가 또 검찰의 강압수사를 원망하면서 극단적 선택을 하게 됐다고 한다\"며, \"몸통을, 본질을 철저하게 수사해야 한다\"고 말했습니다.그러면서, \"신속하게 여야 간 합의를 해서 특검을 통한 수사가 합의되기를 다시 한번 촉구한다\"고 강조했습니다.(사진=연합뉴스)'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e39963be",
   "metadata": {},
   "outputs": [],
   "source": [
    "a='''민주당 이재명 대선 후보는 '대장동 의혹' 특검 도입과 관련해, \"국민의힘 윤석열 후보 본인 혐의가 드러난 부분을 빼고 하자는 엉뚱한 주장으로 이 문제가 앞으로 진척이 못 되고 있다\"고 말했습니다.\n",
    "\n",
    "이 후보는 오전 경북 칠곡 다부동 전적기념관을 방문한 자리에서, \"처음부터 끝까지 성역 없이 수사하는 특검이 반드시 필요하다\"며 이같이 강조했습니다.\n",
    "\n",
    "이 후보는 \"자꾸 나에게 불리한 것 빼고 상대방에게 정치적으로 불리한 것만 하자는 것은 결국 하지 말라는 것 아닌가\"라고, \"윤 후보 관계된 부분만 빼고 하자? 이게 말이 안 되지 않느냐\"라고 반문했습니다.\n",
    "\n",
    "그러면서, \"돈을 최초 조달할 때 대출 비리를 알고도 덮었다는 혐의가 있는데 당연히 수사해야 한다\"라며, \"그때 그거 덮지 않고 제대로 처벌하지 않고 환수했다면 이 일은 아예 벌어지지 않았을 것\"이라고 지적했습니다.\n",
    "\n",
    "아울러, \"개발이익을 특정인이 과도하게 치부하는 소위 하나은행 중심의 배당설계, 당연히 조사해야 한다\"라며, \"국민의힘이 왜 한국토지주택공사에 공공개발을 포기시키고 성남시 공공개발을 막아서 100% 민간개발업체에 봐주자고 강압했는지도 조사해야 한다\"고 덧붙였습니다.\n",
    "\n",
    "유한기 전 성남도시개발공사 개발사업본부장의 사망에 대해선, \"검찰이 본질은 남겨두고 주변을 뒤지는 수사를 하다가 결국은 누군가가 또 검찰의 강압수사를 원망하면서 극단적 선택을 하게 됐다고 한다\"며, \"몸통을, 본질을 철저하게 수사해야 한다\"고 말했습니다.\n",
    "\n",
    "그러면서, \"신속하게 여야 간 합의를 해서 특검을 통한 수사가 합의되기를 다시 한번 촉구한다\"고 강조했습니다.\n",
    "\n",
    "(사진=연합뉴스)'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "260dd0b4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'민주당 이재명 대선 후보는 \\'대장동 의혹\\' 특검 도입과 관련해, \"국민의힘 윤석열 후보 본인 혐의가 드러난 부분을 빼고 하자는 엉뚱한 주장으로 이 문제가 앞으로 진척이 못 되고 있다\"고 말했습니다.\\n그러면서, \"돈을 최초 조달할 때 대출 비리를 알고도 덮었다는 혐의가 있는데 당연히 수사해야 한다\"라며, \"그때 그거 덮지 않고 제대로 처벌하지 않고 환수했다면 이 일은 아예 벌어지지 않았을 것\"이라고 지적했습니다.\\n유한기 전 성남도시개발공사 개발사업본부장의 사망에 대해선, \"검찰이 본질은 남겨두고 주변을 뒤지는 수사를 하다가 결국은 누군가가 또 검찰의 강압수사를 원망하면서 극단적 선택을 하게 됐다고 한다\"며, \"몸통을, 본질을 철저하게 수사해야 한다\"고 말했습니다.그러면서, \"신속하게 여야 간 합의를 해서 특검을 통한 수사가 합의되기를 다시 한번 촉구한다\"고 강조했습니다.(사진=연합뉴스)'"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "short=summarize(a,word_count=100)\n",
    "short"
   ]
  }
 ],
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