[20200921] 형태소 분석.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.7.9 (default, Aug 31 2020, 17:10:11) [MSC v.1916 64 bit (AMD64)]\n"
     ]
    }
   ],
   "source": [
    "import sys\n",
    "print (sys.version)\n",
    "import requests\n",
    "from bs4 import BeautifulSoup\n",
    "from datetime import date, datetime, timedelta\n",
    "import pandas as pd\n",
    "from urllib import parse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "from konlpy.tag import Mecab, Komoran"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "tokenizer = Komoran()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def crawling_news(category, from_, to_):\n",
    "    total = pd.DataFrame()\n",
    "    base_url = \"https://news.naver.com/main/list.nhn?\"\n",
    "    para = {'mode': ['LS2D'],\n",
    "         'mid': ['shm'],\n",
    "         'sid2': ['259'],\n",
    "         'sid1': ['101'],\n",
    "         'date': ['20200915'],\n",
    "         'page': ['2']}\n",
    "    para['sid2'] = category\n",
    "    \n",
    "    # 일주일 동안 데이터 수집 \n",
    "    for day in range(6,13):\n",
    "        para['date'] = str(date(2020,9,day)).replace(\"-\", \"\")\n",
    "        para['page'] = 1000\n",
    "        r = requests.get(\"https://news.naver.com/main/list.nhn?\", params=para)\n",
    "        # print (r.url)\n",
    "        bs = BeautifulSoup(r.text)\n",
    "        # 마지막 페이지 번호를 가져온다. \n",
    "        b = bs.find('div', id='main_content')\n",
    "        last_page = bs.find('div', class_='paging').find(\"strong\").text\n",
    "        #print(\"===========\")\n",
    "        #print (last_page)\n",
    "        #print(\"===========\")\n",
    "        for page in range(1, int(last_page)+1):\n",
    "            #print (page)\n",
    "            para['page'] = page\n",
    "            r = requests.get(\"https://news.naver.com/main/list.nhn?\", params=para)\n",
    "            bs = BeautifulSoup(r.text)\n",
    "            \n",
    "            for x in bs.find({\"div\" : \"list_body newsflash_body\"}).findAll(\"dl\", class_=\"\"):\n",
    "                total = total.append(pd.DataFrame([[x.select(\"a\")[-1].text.strip(), x.select(\"a\")[-1]['href'],\n",
    "                                                    x.find({\"span\" : \"lede\"}).text, x.find(\"span\", class_=\"writing\").text,\n",
    "                                                    str(date(2020,9,day))]], \n",
    "                                                 columns=['title', 'url', 'content', 'company', 'date']))\n",
    "    return total"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Playdata\\Anaconda3\\envs\\nlp\\lib\\site-packages\\bs4\\__init__.py:181: UserWarning: No parser was explicitly specified, so I'm using the best available HTML parser for this system (\"lxml\"). This usually isn't a problem, but if you run this code on another system, or in a different virtual environment, it may use a different parser and behave differently.\n",
      "\n",
      "The code that caused this warning is on line 193 of the file C:\\Users\\Playdata\\Anaconda3\\envs\\nlp\\lib\\runpy.py. To get rid of this warning, change code that looks like this:\n",
      "\n",
      " BeautifulSoup(YOUR_MARKUP})\n",
      "\n",
      "to this:\n",
      "\n",
      " BeautifulSoup(YOUR_MARKUP, \"lxml\")\n",
      "\n",
      "  markup_type=markup_type))\n"
     ]
    }
   ],
   "source": [
    "df = crawling_news('259')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "NNG, NNP, NNB, NNM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'[기하영의 생활 속 카드]해외여행 대신 해외직구…\"카드 할인 챙기세요\"'"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[0,0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('[', 'SS'),\n",
       " ('기', 'NNG'),\n",
       " ('하영', 'NNP'),\n",
       " ('의', 'JKG'),\n",
       " ('생활', 'NNG'),\n",
       " ('속', 'NNG'),\n",
       " ('카드', 'NNG'),\n",
       " (']', 'SS'),\n",
       " ('해외여행', 'NNP'),\n",
       " ('대신', 'NNG'),\n",
       " ('해외직구', 'NNP'),\n",
       " ('…', 'SE'),\n",
       " ('\"', 'SS'),\n",
       " ('카드', 'NNP'),\n",
       " ('할인', 'NNG'),\n",
       " ('챙기', 'VV'),\n",
       " ('시', 'EP'),\n",
       " ('어요', 'EC'),\n",
       " ('\"', 'SS')]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tokenizer.pos(df.iloc[0,0]) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 코모란에서 사용자 사전 추가 \n",
    "token = Komoran(userdic=\"./user_dict.txt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('[', 'SS'),\n",
       " ('기하영', 'SS'),\n",
       " ('의', 'JKG'),\n",
       " ('생활', 'NNG'),\n",
       " ('속', 'NNG'),\n",
       " ('카드', 'NNG'),\n",
       " (']', 'SS'),\n",
       " ('해외여행', 'NNP'),\n",
       " ('대신', 'NNG'),\n",
       " ('해외직구', 'NNP'),\n",
       " ('…', 'SE'),\n",
       " ('\"', 'SS'),\n",
       " ('카드', 'NNP'),\n",
       " ('할인', 'NNG'),\n",
       " ('챙기', 'VV'),\n",
       " ('시', 'EP'),\n",
       " ('어요', 'EC'),\n",
       " ('\"', 'SS')]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "token.pos(df.iloc[0,0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "def crawling_news2(category, from_, to_):\n",
    "    total = pd.DataFrame()\n",
    "    base_url = \"https://news.naver.com/main/list.nhn?\"\n",
    "    para = {'mode': ['LS2D'],\n",
    "         'mid': ['shm'],\n",
    "         'sid2': ['259'],\n",
    "         'sid1': ['101'],\n",
    "         'date': ['20200915'],\n",
    "         'page': ['2']}\n",
    "    para['sid2'] = category\n",
    "    \n",
    "    # 일주일 동안 데이터 수집 \n",
    "    for day in pd.date_range(from_, to_):\n",
    "        para['date'] = day.strftime(\"%Y%m%d\")\n",
    "        para['page'] = 1000\n",
    "        r = requests.get(\"https://news.naver.com/main/list.nhn?\", params=para)\n",
    "        # print (r.url)\n",
    "        bs = BeautifulSoup(r.text, 'lxml')\n",
    "        # 마지막 페이지 번호를 가져온다. \n",
    "        b = bs.find('div', id='main_content')\n",
    "        last_page = bs.find('div', class_='paging').find(\"strong\").text\n",
    "        #print(\"===========\")\n",
    "        #print (last_page)\n",
    "        #print(\"===========\")\n",
    "        for page in range(1, int(last_page)+1):\n",
    "            #print (page)\n",
    "            para['page'] = page\n",
    "            r = requests.get(\"https://news.naver.com/main/list.nhn?\", params=para)\n",
    "            bs = BeautifulSoup(r.text)\n",
    "            \n",
    "            for x in bs.find({\"div\" : \"list_body newsflash_body\"}).findAll(\"dl\", class_=\"\"):\n",
    "                total = total.append(pd.DataFrame([[x.select(\"a\")[-1].text.strip(), x.select(\"a\")[-1]['href'],\n",
    "                                                    x.find({\"span\" : \"lede\"}).text, x.find(\"span\", class_=\"writing\").text,\n",
    "                                                    day.strftime(\"%Y-%m-%d\")  ]], \n",
    "                                                 columns=['title', 'url', 'content', 'company', 'date']))\n",
    "    return total"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['2020-09-13 00:00:00',\n",
       " '2020-09-14 00:00:00',\n",
       " '2020-09-15 00:00:00',\n",
       " '2020-09-16 00:00:00',\n",
       " '2020-09-17 00:00:00',\n",
       " '2020-09-18 00:00:00',\n",
       " '2020-09-19 00:00:00']"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(map(str,pd.date_range('2020-09-13', '2020-09-19')))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2020-09-19'], dtype='datetime64[ns]', freq='D')"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.date_range('2020-09-19', '2020-09-19')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Playdata\\Anaconda3\\envs\\nlp\\lib\\site-packages\\bs4\\__init__.py:181: UserWarning: No parser was explicitly specified, so I'm using the best available HTML parser for this system (\"lxml\"). This usually isn't a problem, but if you run this code on another system, or in a different virtual environment, it may use a different parser and behave differently.\n",
      "\n",
      "The code that caused this warning is on line 193 of the file C:\\Users\\Playdata\\Anaconda3\\envs\\nlp\\lib\\runpy.py. To get rid of this warning, change code that looks like this:\n",
      "\n",
      " BeautifulSoup(YOUR_MARKUP})\n",
      "\n",
      "to this:\n",
      "\n",
      " BeautifulSoup(YOUR_MARKUP, \"lxml\")\n",
      "\n",
      "  markup_type=markup_type))\n"
     ]
    }
   ],
   "source": [
    "rt = crawling_news2('259', '2020-09-13', '2020-09-19')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "token = Komoran(userdic=\"./user_dict.txt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('조국', 'NNP'),\n",
       " ('일가', 'NNG'),\n",
       " ('수사', 'NNG'),\n",
       " ('팀', 'NNG'),\n",
       " ('에', 'JKB'),\n",
       " ('증권', 'NNG'),\n",
       " ('범죄', 'NNP'),\n",
       " ('전담', 'NNP'),\n",
       " ('검사', 'NNP'),\n",
       " ('합류', 'NNP')]"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "token.pos(cont)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "word_dict ={}\n",
    "for cont in rt.title:\n",
    "    for word, morpheme in token.pos(cont):\n",
    "        if morpheme in ['NNG', 'NNP', 'NNB', \"NNM\"] and len(word) > 1 : #NNG NNP NNB NNM\n",
    "            if word_dict.get(word) == None:\n",
    "                word_dict[word] = 1\n",
    "            else:\n",
    "                word_dict[word] += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('금융', 438),\n",
       " ('대출', 252),\n",
       " ('은행', 163),\n",
       " ('출시', 147),\n",
       " ('코로나', 138),\n",
       " ('보험', 127),\n",
       " ('신용', 126),\n",
       " ('회장', 117),\n",
       " ('금리', 95),\n",
       " ('카드', 90),\n",
       " ('연임', 87),\n",
       " ('종규', 81),\n",
       " ('결제', 80),\n",
       " ('추석', 80),\n",
       " ('투자', 78),\n",
       " ('지원', 75),\n",
       " ('실시', 75),\n",
       " ('달러', 74),\n",
       " ('손보', 67),\n",
       " ('포토', 65),\n",
       " ('신한은행', 64),\n",
       " ('채용', 62),\n",
       " ('저축', 61),\n",
       " ('온라인', 60),\n",
       " ('신한', 59),\n",
       " ('서비스', 58),\n",
       " ('이벤트', 58),\n",
       " ('글로벌', 58),\n",
       " ('펀드', 56),\n",
       " ('상반기', 54),\n",
       " ('농협', 53),\n",
       " ('종합', 53),\n",
       " ('19', 51),\n",
       " ('하반기', 50),\n",
       " ('부동산', 50),\n",
       " ('만원', 50),\n",
       " ('우리은행', 49),\n",
       " ('할인', 49),\n",
       " ('기업', 47),\n",
       " ('적금', 47),\n",
       " ('한도', 46),\n",
       " ('최대', 45),\n",
       " ('진행', 44),\n",
       " ('그룹', 44),\n",
       " ('우리', 43),\n",
       " ('금감원', 42),\n",
       " ('소상', 42),\n",
       " ('공인', 42),\n",
       " ('규제', 41),\n",
       " ('개최', 41),\n",
       " ('생명', 39),\n",
       " ('모바일', 39),\n",
       " ('선물', 39),\n",
       " ('성공', 37),\n",
       " ('캠페인', 37),\n",
       " ('규모', 37),\n",
       " ('미래', 37),\n",
       " ('환율', 36),\n",
       " ('돌파', 36),\n",
       " ('시장', 36),\n",
       " ('주택', 36),\n",
       " ('지주', 34),\n",
       " ('국민은행', 34),\n",
       " ('플랫폼', 34),\n",
       " ('뉴딜', 33),\n",
       " ('페이', 33),\n",
       " ('기부', 33),\n",
       " ('롯데카드', 32),\n",
       " ('우리카드', 32),\n",
       " ('당국', 31),\n",
       " ('뱅크', 31),\n",
       " ('시작', 31),\n",
       " ('하나카드', 31),\n",
       " ('전용', 31),\n",
       " ('참여', 31),\n",
       " ('이달', 31),\n",
       " ('자금', 30),\n",
       " ('비대', 30),\n",
       " ('공채', 29),\n",
       " ('사업', 29),\n",
       " ('서민', 28),\n",
       " ('대표', 28),\n",
       " ('급증', 28),\n",
       " ('해외', 28),\n",
       " ('카드사', 28),\n",
       " ('발행', 28),\n",
       " ('사모펀드', 28),\n",
       " ('데이터', 27),\n",
       " ('가입', 27),\n",
       " ('자율', 27),\n",
       " ('대상', 27),\n",
       " ('전달', 27),\n",
       " ('하락', 27),\n",
       " ('업무', 27),\n",
       " ('기준', 27),\n",
       " ('순익', 27),\n",
       " ('강화', 26),\n",
       " ('주행', 26),\n",
       " ('개월', 25),\n",
       " ('최고', 25),\n",
       " ('신입', 25),\n",
       " ('민원', 25),\n",
       " ('코픽스', 25),\n",
       " ('디지털', 24),\n",
       " ('주식', 24),\n",
       " ('판매', 24),\n",
       " ('오늘', 24),\n",
       " ('사회', 24),\n",
       " ('신한카드', 24),\n",
       " ('검토', 23),\n",
       " ('통합', 23),\n",
       " ('자산', 23),\n",
       " ('확대', 23),\n",
       " ('통장', 23),\n",
       " ('확정', 23),\n",
       " ('금융사', 23),\n",
       " ('극복', 23),\n",
       " ('컨퍼런스', 23),\n",
       " ('카카오', 22),\n",
       " ('거래', 22),\n",
       " ('사랑', 22),\n",
       " ('최저', 22),\n",
       " ('한국', 21),\n",
       " ('증가', 21),\n",
       " ('헌혈', 21),\n",
       " ('사실', 21),\n",
       " ('회수', 21),\n",
       " ('박람회', 21),\n",
       " ('매각', 20),\n",
       " ('코스닥', 20),\n",
       " ('삼성카드', 20),\n",
       " ('경영', 20),\n",
       " ('고객', 20),\n",
       " ('분기', 20),\n",
       " ('시스템', 20),\n",
       " ('구축', 20),\n",
       " ('청구', 20),\n",
       " ('대체', 20),\n",
       " ('코스', 19),\n",
       " ('협약', 19),\n",
       " ('임직원', 19),\n",
       " ('삼성', 19),\n",
       " ('개발', 19),\n",
       " ('선정', 19),\n",
       " ('회의', 19),\n",
       " ('마스크', 19),\n",
       " ('상승', 18),\n",
       " ('역대', 18),\n",
       " ('보험금', 18),\n",
       " ('관리', 18),\n",
       " ('증시', 18),\n",
       " ('영업', 18),\n",
       " ('부산은행', 18),\n",
       " ('터치', 18),\n",
       " ('입찰', 18),\n",
       " ('공개', 18),\n",
       " ('토스', 18),\n",
       " ('증권', 18),\n",
       " ('건강', 18),\n",
       " ('케이', 18),\n",
       " ('이자', 18),\n",
       " ('운용', 18),\n",
       " ('재택근무', 18),\n",
       " ('지급', 17),\n",
       " ('단독', 17),\n",
       " ('한화', 17),\n",
       " ('악사', 17),\n",
       " ('헌금', 17),\n",
       " ('피해', 17),\n",
       " ('법인', 17),\n",
       " ('사상', 17),\n",
       " ('채권', 17),\n",
       " ('맞이', 17),\n",
       " ('테크', 17),\n",
       " ('최종', 17),\n",
       " ('상자', 17),\n",
       " ('토론', 17),\n",
       " ('개선', 16),\n",
       " ('행복', 16),\n",
       " ('축소', 16),\n",
       " ('청년', 16),\n",
       " ('드림', 16),\n",
       " ('상품', 16),\n",
       " ('하나은행', 16),\n",
       " ('제로', 16),\n",
       " ('국민', 16),\n",
       " ('스타트', 16),\n",
       " ('현대차', 16),\n",
       " ('유튜브', 16),\n",
       " ('롯데', 16),\n",
       " ('서울', 16),\n",
       " ('차기', 16),\n",
       " ('이학', 16),\n",
       " ('8월', 16),\n",
       " ('기회', 16),\n",
       " ('예보', 16),\n",
       " ('신협', 16),\n",
       " ('공시', 16),\n",
       " ('지원금', 16),\n",
       " ('개미', 15),\n",
       " ('9월', 15),\n",
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       " ('기관', 15),\n",
       " ('보험료', 15),\n",
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       " ('행원', 15),\n",
       " ('포인트', 15),\n",
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       " ('운영', 15),\n",
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       " ('방지', 15),\n",
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       " ('세트', 15),\n",
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       " ('핀테크', 14),\n",
       " ('예금', 14),\n",
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       " ('라임', 14),\n",
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       " ('리스크', 14),\n",
       " ('적용', 14),\n",
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       " ('소외', 14),\n",
       " ('화상', 14),\n",
       " ('금원', 14),\n",
       " ('캐롯', 14),\n",
       " ('연봉', 14),\n",
       " ('올해', 14),\n",
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       " ('대응', 14),\n",
       " ('위험', 14),\n",
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       " ('실패', 13),\n",
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       " ('신탁', 13),\n",
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       " ('모두', 13),\n",
       " ('위원회', 13),\n",
       " ('보이스', 13),\n",
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       " ('현대해상', 13),\n",
       " ('개인연금', 13),\n",
       " ('만장', 13),\n",
       " ('세미나', 13),\n",
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       " ('대비', 12),\n",
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       " ('피탈', 12),\n",
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       " ('혜택', 12),\n",
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       " ('신청', 12),\n",
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       " ('활성', 12),\n",
       " ('브랜치', 12),\n",
       " ('활동', 12),\n",
       " ('JT저축은행', 12),\n",
       " ('교육', 12),\n",
       " ('전년', 12),\n",
       " ('노인', 12),\n",
       " ('경쟁력', 12),\n",
       " ('보고서', 12),\n",
       " ('국내', 12),\n",
       " ('신입사원', 12),\n",
       " ('중복', 12),\n",
       " ('협업', 12),\n",
       " ('전문직', 12),\n",
       " ('이상', 12),\n",
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       " ('20대', 12),\n",
       " ('연금', 11),\n",
       " ('열흘', 11),\n",
       " ('주가', 11),\n",
       " ('흥행', 11),\n",
       " ('외국', 11),\n",
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       " ('시중', 11),\n",
       " ('열풍', 11),\n",
       " ('삼성전자', 11),\n",
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       " ('정보', 11),\n",
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       " ('상향', 11),\n",
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       " ('공적자금', 11),\n",
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       " ('부모', 11),\n",
       " ('택시', 11),\n",
       " ('상담', 11),\n",
       " ('수준', 10),\n",
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       " ('아파트', 10),\n",
       " ('주택자', 10),\n",
       " ('추천', 10),\n",
       " ('직원', 10),\n",
       " ('쇼핑', 10),\n",
       " ('걱정', 10),\n",
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       " ('막차', 10),\n",
       " ('기부금', 10),\n",
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       " ('맞춤', 10),\n",
       " ('위드', 10),\n",
       " ('광주은행', 10),\n",
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       " ('수수료', 10),\n",
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       " ('수익', 10),\n",
       " ('사태', 10),\n",
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       " ('출연', 10),\n",
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       " ('임금', 10),\n",
       " ('센터', 10),\n",
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       " ('수협은행', 10),\n",
       " ('베트남', 10),\n",
       " ('옥션', 10),\n",
       " ('SA', 10),\n",
       " ('방문자', 10),\n",
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       " ('신창', 10),\n",
       " ('영상', 10),\n",
       " ('우려', 9),\n",
       " ('설계사', 9),\n",
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       " ('이재명', 9),\n",
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       " ('영향', 9),\n",
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       " ('임대', 9),\n",
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       " ('주사', 9),\n",
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       " ('의료', 9),\n",
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       " ('인하', 9),\n",
       " ('브랜드', 9),\n",
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       " ('차세대', 9),\n",
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       " ('중단', 9),\n",
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       " ('수출', 9),\n",
       " ('비트', 9),\n",
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       " ('카카오톡', 9),\n",
       " ('정기예금', 9),\n",
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       " ('전략', 9),\n",
       " ('적도', 9),\n",
       " ('확보', 9),\n",
       " ('김광수', 9),\n",
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       " ('세계', 8),\n",
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       " ('기본', 8),\n",
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       " ('위크', 8),\n",
       " ('부산시', 8),\n",
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       " ('물품', 8),\n",
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       " ('한정', 8),\n",
       " ('순이익', 8),\n",
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       " ('연속', 8),\n",
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       " ('투자자', 8),\n",
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       " ('재원', 8),\n",
       " ('효성', 8),\n",
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       " ('합의', 8),\n",
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       " ('정부', 8),\n",
       " ('중계', 8),\n",
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       " ('핀셋', 7),\n",
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       " ('현장', 7),\n",
       " ('은행장', 7),\n",
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       " ('병화', 7),\n",
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       " ('바흐', 7),\n",
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       " ('미니', 7),\n",
       " ('LG화학', 7),\n",
       " ('부채', 7),\n",
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       " ('환영', 7),\n",
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       " ('시그널', 6),\n",
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       " ('제휴', 6),\n",
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       " ('손병두', 6),\n",
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       " ('증여', 6),\n",
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       " ('과태료', 6),\n",
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       " ('모델', 6),\n",
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       " ('동참', 6),\n",
       " ('쿠폰', 6),\n",
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       " ('넘버원', 6),\n",
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       " ('두기', 5),\n",
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       " ('리더십', 5),\n",
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       " ('변화', 5),\n",
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       " ('서울대', 5),\n",
       " ('과정', 5),\n",
       " ('총력', 5),\n",
       " ('치아', 5),\n",
       " ('재도', 5),\n",
       " ('한국GM', 5),\n",
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       " ('명품', 4),\n",
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       " ('손해', 4),\n",
       " ('후불', 4),\n",
       " ('체크카드', 4),\n",
       " ('매매', 4),\n",
       " ('신상품', 4),\n",
       " ('인기', 4),\n",
       " ('-1', 4),\n",
       " ('JB', 4),\n",
       " ('예상', 4),\n",
       " ('처음', 4),\n",
       " ('포터', 4),\n",
       " ('유치', 4),\n",
       " ('대우', 4),\n",
       " ('절감', 4),\n",
       " ('아시아', 4),\n",
       " ('토막', 4),\n",
       " ('규정', 4),\n",
       " ('자리', 4),\n",
       " ('진흥원', 4),\n",
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       " ('집값', 4),\n",
       " ('생보사', 4),\n",
       " ('클래스', 4),\n",
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       " ('불황', 4),\n",
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       " ('대형', 4),\n",
       " ('전북은행', 4),\n",
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       " ('에이블', 4),\n",
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       " ('뉴욕', 4),\n",
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       " ('오전', 4),\n",
       " ('경남은행', 4),\n",
       " ('적정', 4),\n",
       " ('네이버', 4),\n",
       " ('박차', 4),\n",
       " ('화폐', 4),\n",
       " ('포기', 4),\n",
       " ('육성', 4),\n",
       " ('현대', 4),\n",
       " ('고도', 4),\n",
       " ('활용', 4),\n",
       " ('유로화', 4),\n",
       " ('최초', 4),\n",
       " ('어니스트', 4),\n",
       " ('진입', 4),\n",
       " ('인정', 4),\n",
       " ('동아대', 4),\n",
       " ('하락세', 4),\n",
       " ('MG손해보험', 4),\n",
       " ('여름', 4),\n",
       " ('방학', 4),\n",
       " ('특강', 4),\n",
       " ('우선', 4),\n",
       " ('최희남', 4),\n",
       " ('갈등', 4),\n",
       " ('일상', 4),\n",
       " ('부문', 4),\n",
       " ('준비단', 4),\n",
       " ('삼성생명', 4),\n",
       " ('학자금', 4),\n",
       " ('30', 4),\n",
       " ('본드', 4),\n",
       " ('수익률', 4),\n",
       " ('거부', 4),\n",
       " ('개정안', 4),\n",
       " ('분야', 4),\n",
       " ('처리', 4),\n",
       " ('법안', 4),\n",
       " ('이틀', 4),\n",
       " ('자문', 4),\n",
       " ('10월', 4),\n",
       " ('한국씨티은행', 4),\n",
       " ('라이', 4),\n",
       " ('퇴임', 4),\n",
       " ('보험개발원', 4),\n",
       " ('비교', 4),\n",
       " ('감정평가사', 4),\n",
       " ('협회', 4),\n",
       " ('혐의', 4),\n",
       " ('선위', 4),\n",
       " ('체험', 4),\n",
       " ('재정', 4),\n",
       " ('다음', 4),\n",
       " ('꾸러미', 4),\n",
       " ('기탁', 4),\n",
       " ('도전', 4),\n",
       " ('상속', 4),\n",
       " ('지배', 4),\n",
       " ('슬기', 4),\n",
       " ('복위', 4),\n",
       " ('사면', 4),\n",
       " ('강세', 4),\n",
       " ('과세', 4),\n",
       " ('학교', 4),\n",
       " ('폭력', 4),\n",
       " ('기프트', 4),\n",
       " ('시범', 4),\n",
       " ('간담회', 4),\n",
       " ('배터리', 4),\n",
       " ('납부', 4),\n",
       " ('차입', 4),\n",
       " ('OK', 4),\n",
       " ('해양', 4),\n",
       " ('수산', 4),\n",
       " ('이데일리', 4),\n",
       " ('장동', 4),\n",
       " ('대한지방행정공제회', 4),\n",
       " ('부이사장', 4),\n",
       " ('이규홍', 4),\n",
       " ('사학', 4),\n",
       " ('통제', 4),\n",
       " ('장기', 4),\n",
       " ('마음', 4),\n",
       " ('재선', 4),\n",
       " ('실무', 4),\n",
       " ('징역', 4),\n",
       " ('완파', 4),\n",
       " ('고삐', 3),\n",
       " ('부친상', 3),\n",
       " ('논란', 3),\n",
       " ('무게', 3),\n",
       " ('6년', 3),\n",
       " ('관치', 3),\n",
       " ('테슬라', 3),\n",
       " ('저금리', 3),\n",
       " ('치료비', 3),\n",
       " ('전액', 3),\n",
       " ('지방은행', 3),\n",
       " ('공공', 3),\n",
       " ('아담', 3),\n",
       " ('가지', 3),\n",
       " ('이재용', 3),\n",
       " ('공소장', 3),\n",
       " ('언급', 3),\n",
       " ('신용카드', 3),\n",
       " ('기대감', 3),\n",
       " ('절세', 3),\n",
       " ('칼럼', 3),\n",
       " ('기업체', 3),\n",
       " ('방안', 3),\n",
       " ('소폭', 3),\n",
       " ('계좌', 3),\n",
       " ('수요', 3),\n",
       " ('패닉', 3),\n",
       " ('비중', 3),\n",
       " ('공유', 3),\n",
       " ('비트코인', 3),\n",
       " ('부진', 3),\n",
       " ('푸르덴셜', 3),\n",
       " ('2년', 3),\n",
       " ('상상', 3),\n",
       " ('업종', 3),\n",
       " ('이전', 3),\n",
       " ('인력', 3),\n",
       " ('병원', 3),\n",
       " ('프로', 3),\n",
       " ('당구', 3),\n",
       " ('창단', 3),\n",
       " ('기념', 3),\n",
       " ('교통', 3),\n",
       " ('커피', 3),\n",
       " ('콘퍼런스', 3),\n",
       " ('기후', 3),\n",
       " ('AI', 3),\n",
       " ('조절', 3),\n",
       " ('공급', 3),\n",
       " ('중소기업', 3),\n",
       " ('만주', 3),\n",
       " ('미만', 3),\n",
       " ('파전', 3),\n",
       " ('시행', 3),\n",
       " ('조폐공사', 3),\n",
       " ('공모전', 3),\n",
       " ('조원', 3),\n",
       " ('현황', 3),\n",
       " ('청와대', 3),\n",
       " ('공모', 3),\n",
       " ('특성', 3),\n",
       " ('개발자', 3),\n",
       " ('간다', 3),\n",
       " ('동부', 3),\n",
       " ('대세', 3),\n",
       " ('여파', 3),\n",
       " ('전국', 3),\n",
       " ('때문', 3),\n",
       " ('마케팅', 3),\n",
       " ('불만', 3),\n",
       " ('확산', 3),\n",
       " ('조정', 3),\n",
       " ('일반', 3),\n",
       " ('딜레마', 3),\n",
       " ('발급', 3),\n",
       " ('차이나', 3),\n",
       " ('기자수첩', 3),\n",
       " ('구제', 3),\n",
       " ('우대', 3),\n",
       " ('모아', 3),\n",
       " ('영입', 3),\n",
       " ('대회', 3),\n",
       " ('스마트', 3),\n",
       " ('엔화', 3),\n",
       " ('출발', 3),\n",
       " ('서류', 3),\n",
       " ('3분', 3),\n",
       " ('광고', 3),\n",
       " ('초점', 3),\n",
       " ('수장', 3),\n",
       " ('조달', 3),\n",
       " ('원금', 3),\n",
       " ('홈페이지', 3),\n",
       " ('전면', 3),\n",
       " ('국내외', 3),\n",
       " ('추위', 3),\n",
       " ('감시', 3),\n",
       " ('지표', 3),\n",
       " ('법원', 3),\n",
       " ('변동', 3),\n",
       " ('검찰', 3),\n",
       " ('적격', 3),\n",
       " ('거래소', 3),\n",
       " ('전쟁', 3),\n",
       " ('타결', 3),\n",
       " ('거품', 3),\n",
       " ('취급', 3),\n",
       " ('접수', 3),\n",
       " ('상품권', 3),\n",
       " ('대상자', 3),\n",
       " ('조건', 3),\n",
       " ('기금', 3),\n",
       " ('이익', 3),\n",
       " ('제시', 3),\n",
       " ('악화', 3),\n",
       " ('플랜', 3),\n",
       " ('최악', 3),\n",
       " ('강점', 3),\n",
       " ('자산운용', 3),\n",
       " ('통과', 3),\n",
       " ('저녁', 3),\n",
       " ('사칭', 3),\n",
       " ('보증금', 3),\n",
       " ('창업', 3),\n",
       " ...]"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted(word_dict.items(), key=lambda x : x[1], reverse=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Playdata\\Anaconda3\\envs\\nlp\\lib\\site-packages\\bs4\\__init__.py:181: UserWarning: No parser was explicitly specified, so I'm using the best available HTML parser for this system (\"lxml\"). This usually isn't a problem, but if you run this code on another system, or in a different virtual environment, it may use a different parser and behave differently.\n",
      "\n",
      "The code that caused this warning is on line 193 of the file C:\\Users\\Playdata\\Anaconda3\\envs\\nlp\\lib\\runpy.py. To get rid of this warning, change code that looks like this:\n",
      "\n",
      " BeautifulSoup(YOUR_MARKUP})\n",
      "\n",
      "to this:\n",
      "\n",
      " BeautifulSoup(YOUR_MARKUP, \"lxml\")\n",
      "\n",
      "  markup_type=markup_type))\n"
     ]
    }
   ],
   "source": [
    "rt2 = crawling_news2('259', '2019-09-13', '2019-09-19')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "rt2.iloc[0,1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [],
   "source": [
    "stop_words = {'금융', '대출'}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'금융', '대출'}"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stop_words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'금융' in stop_words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, 2, 3]"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(set([1,1,1,1,1,2,2,3,3,2,3,3,2,3]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [],
   "source": [
    "word_dict2 ={}\n",
    "stop_words = {'금융', '대출'}\n",
    "for cont in rt2.title:\n",
    "    for word, morpheme in token.pos(cont):\n",
    "        if morpheme in ['NNG', 'NNP', 'NNB', \"NNM\"] and len(word) > 1 and \\\n",
    "            word not in stop_words:\n",
    "            if word_dict2.get(word) == None:\n",
    "                word_dict2[word] = 1\n",
    "            else:\n",
    "                word_dict2[word] += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('은성수', 250),\n",
       " ('안심', 216),\n",
       " ('전환', 194),\n",
       " ('금리', 192),\n",
       " ('은행', 167),\n",
       " ('서민', 152),\n",
       " ('위원장', 147),\n",
       " ('신청', 126),\n",
       " ('금감원', 114),\n",
       " ('기업', 101),\n",
       " ('포토', 101),\n",
       " ('서비스', 91),\n",
       " ('지원', 89),\n",
       " ('보험', 75),\n",
       " ('우리은행', 73),\n",
       " ('달러', 69),\n",
       " ('증권', 69),\n",
       " ('인하', 68),\n",
       " ('혁신', 66),\n",
       " ('저축', 65),\n",
       " ('출시', 65),\n",
       " ('핀테크', 64),\n",
       " ('카드', 63),\n",
       " ('펀드', 60),\n",
       " ('신한', 60),\n",
       " ('국민은행', 57),\n",
       " ('종합', 56),\n",
       " ('투자', 56),\n",
       " ('환율', 55),\n",
       " ('시장', 53),\n",
       " ('적금', 53),\n",
       " ('글로벌', 52),\n",
       " ('머니', 48),\n",
       " ('경제', 48),\n",
       " ('신한은행', 48),\n",
       " ('개최', 47),\n",
       " ('전자', 47),\n",
       " ('생명', 47),\n",
       " ('회동', 46),\n",
       " ('사진', 45),\n",
       " ('접수', 43),\n",
       " ('손실', 43),\n",
       " ('상반기', 43),\n",
       " ('피해', 42),\n",
       " ('연속', 41),\n",
       " ('조국', 41),\n",
       " ('인터넷', 40),\n",
       " ('보이스', 40),\n",
       " ('피싱', 40),\n",
       " ('방문', 40),\n",
       " ('돌파', 40),\n",
       " ('마감', 40),\n",
       " ('코스', 39),\n",
       " ('농협', 38),\n",
       " ('결제', 38),\n",
       " ('만기', 38),\n",
       " ('규모', 38),\n",
       " ('하락', 37),\n",
       " ('이벤트', 37),\n",
       " ('뱅킹', 37),\n",
       " ('첫날', 37),\n",
       " ('주택', 36),\n",
       " ('최대', 36),\n",
       " ('규제', 36),\n",
       " ('수수료', 36),\n",
       " ('토스', 36),\n",
       " ('상품', 35),\n",
       " ('센터', 35),\n",
       " ('거래', 34),\n",
       " ('지수', 34),\n",
       " ('실시', 34),\n",
       " ('오늘', 34),\n",
       " ('코스닥', 33),\n",
       " ('KB국민카드', 33),\n",
       " ('모바일', 32),\n",
       " ('고객', 32),\n",
       " ('현장', 32),\n",
       " ('제도', 32),\n",
       " ('수은', 32),\n",
       " ('사업', 32),\n",
       " ('당국', 31),\n",
       " ('상승', 31),\n",
       " ('고정', 31),\n",
       " ('편입', 31),\n",
       " ('채용', 30),\n",
       " ('조성', 30),\n",
       " ('추가', 30),\n",
       " ('판매', 29),\n",
       " ('추석', 29),\n",
       " ('가입', 29),\n",
       " ('페이', 29),\n",
       " ('강화', 29),\n",
       " ('시행', 29),\n",
       " ('상담', 29),\n",
       " ('논란', 28),\n",
       " ('진출', 27),\n",
       " ('필요', 27),\n",
       " ('만원', 27),\n",
       " ('하반기', 27),\n",
       " ('월드', 27),\n",
       " ('해외', 26),\n",
       " ('합병', 26),\n",
       " ('시작', 26),\n",
       " ('확정', 26),\n",
       " ('금융감독원', 26),\n",
       " ('개선', 25),\n",
       " ('오픈', 25),\n",
       " ('국내', 25),\n",
       " ('회장', 25),\n",
       " ('원금', 25),\n",
       " ('한국', 25),\n",
       " ('개편', 25),\n",
       " ('희망', 25),\n",
       " ('기준', 24),\n",
       " ('시스템', 24),\n",
       " ('직원', 24),\n",
       " ('회의', 24),\n",
       " ('혜택', 23),\n",
       " ('발언', 23),\n",
       " ('대상', 23),\n",
       " ('신고', 23),\n",
       " ('개월', 23),\n",
       " ('시대', 22),\n",
       " ('최고', 22),\n",
       " ('이동걸', 22),\n",
       " ('의료', 22),\n",
       " ('수출', 22),\n",
       " ('대표', 22),\n",
       " ('제일은행', 22),\n",
       " ('업무', 22),\n",
       " ('내년', 22),\n",
       " ('산업', 21),\n",
       " ('상환', 21),\n",
       " ('신규', 21),\n",
       " ('광고', 21),\n",
       " ('공모전', 21),\n",
       " ('협약', 21),\n",
       " ('전면', 21),\n",
       " ('출발', 21),\n",
       " ('데이터', 21),\n",
       " ('성장', 20),\n",
       " ('도입', 20),\n",
       " ('정책', 20),\n",
       " ('불법', 20),\n",
       " ('장관', 20),\n",
       " ('법인', 20),\n",
       " ('연휴', 19),\n",
       " ('소부', 19),\n",
       " ('소통', 19),\n",
       " ('검토', 19),\n",
       " ('고도', 19),\n",
       " ('포기', 19),\n",
       " ('올해', 18),\n",
       " ('예금', 18),\n",
       " ('손보', 18),\n",
       " ('선착순', 18),\n",
       " ('코픽스', 18),\n",
       " ('8월', 18),\n",
       " ('플랫폼', 18),\n",
       " ('이용자', 18),\n",
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       " ('소식', 5),\n",
       " ('인도네시아', 5),\n",
       " ('금융업', 5),\n",
       " ('고금리', 5),\n",
       " ('도전', 5),\n",
       " ('신뢰', 5),\n",
       " ('웰컴', 5),\n",
       " ('LG유플러스', 5),\n",
       " ('간부', 5),\n",
       " ('주문', 5),\n",
       " ('신입', 5),\n",
       " ('만장', 5),\n",
       " ('여신금융협회', 5),\n",
       " ('코리안', 5),\n",
       " ('아동', 5),\n",
       " ('세리', 5),\n",
       " ('키즈', 5),\n",
       " ('학생', 5),\n",
       " ('재단', 5),\n",
       " ('입장권', 5),\n",
       " ('최희남', 5),\n",
       " ('인턴', 5),\n",
       " ('외국어', 5),\n",
       " ('정례', 5),\n",
       " ('주관', 5),\n",
       " ('리더', 5),\n",
       " ('덕수궁', 5),\n",
       " ('AIA생명', 5),\n",
       " ('동네', 5),\n",
       " ('축구', 5),\n",
       " ('프리미어리그', 5),\n",
       " ('운전', 4),\n",
       " ('납부', 4),\n",
       " ('은행업', 4),\n",
       " ('눈길', 4),\n",
       " ('소비', 4),\n",
       " ('우리', 4),\n",
       " ('리얼', 4),\n",
       " ('플랜', 4),\n",
       " ('이달', 4),\n",
       " ('증정', 4),\n",
       " ('니어', 4),\n",
       " ('자동차', 4),\n",
       " ('문자', 4),\n",
       " ('태풍', 4),\n",
       " ('목돈', 4),\n",
       " ('P2P', 4),\n",
       " ('국채', 4),\n",
       " ('지표', 4),\n",
       " ('사전', 4),\n",
       " ('주차', 4),\n",
       " ('구입', 4),\n",
       " ('의심', 4),\n",
       " ('고령', 4),\n",
       " ('우선', 4),\n",
       " ('협상', 4),\n",
       " ('노동', 4),\n",
       " ('한국은행', 4),\n",
       " ('심리', 4),\n",
       " ('리츠', 4),\n",
       " ('대신', 4),\n",
       " ('가동', 4),\n",
       " ('주택자', 4),\n",
       " ('상황', 4),\n",
       " ('가능', 4),\n",
       " ('예적금', 4),\n",
       " ('전문가', 4),\n",
       " ('불안정', 4),\n",
       " ('취임', 4),\n",
       " ('강조', 4),\n",
       " ('경품', 4),\n",
       " ('하향', 4),\n",
       " ('악화', 4),\n",
       " ('건강관리', 4),\n",
       " ('비중', 4),\n",
       " ('유치', 4),\n",
       " ('최종', 4),\n",
       " ('남방', 4),\n",
       " ('특화', 4),\n",
       " ('거래소', 4),\n",
       " ('후보군', 4),\n",
       " ('오프라인', 4),\n",
       " ('라이브', 4),\n",
       " ('예고', 4),\n",
       " ('브리핑', 4),\n",
       " ('질환', 4),\n",
       " ('보료', 4),\n",
       " ('부고', 4),\n",
       " ('스리랑카', 4),\n",
       " ('외부', 4),\n",
       " ('삼성', 4),\n",
       " ('참여', 4),\n",
       " ('인재', 4),\n",
       " ('부정', 4),\n",
       " ('의미', 4),\n",
       " ('차주', 4),\n",
       " ('광주은행', 4),\n",
       " ('기반', 4),\n",
       " ('역량', 4),\n",
       " ('제고', 4),\n",
       " ('SC', 4),\n",
       " ('운용', 4),\n",
       " ('위법', 4),\n",
       " ('장과', 4),\n",
       " ('위반', 4),\n",
       " ('대부', 4),\n",
       " ('투명', 4),\n",
       " ('동남아', 4),\n",
       " ('유비', 4),\n",
       " ('정기', 4),\n",
       " ('중국', 4),\n",
       " ('엔화', 4),\n",
       " ('신한금융그룹', 4),\n",
       " ('기보', 4),\n",
       " ('유출', 4),\n",
       " ('금융사', 4),\n",
       " ('경심', 4),\n",
       " ('차별', 4),\n",
       " ('롯데', 4),\n",
       " ('지주', 4),\n",
       " ('국감', 4),\n",
       " ('고민', 4),\n",
       " ('마지막', 4),\n",
       " ('경감', 4),\n",
       " ('미달', 4),\n",
       " ('국군', 4),\n",
       " ('고유', 4),\n",
       " ('회사', 4),\n",
       " ('선언', 4),\n",
       " ('구직', 4),\n",
       " ('결정', 4),\n",
       " ('김세연', 4),\n",
       " ('사진전', 4),\n",
       " ('강세', 4),\n",
       " ('관행', 4),\n",
       " ('아시아', 4),\n",
       " ('협회', 4),\n",
       " ('감사', 4),\n",
       " ('이슈', 4),\n",
       " ('확보', 4),\n",
       " ('급증', 4),\n",
       " ('컨설팅', 4),\n",
       " ('링크', 4),\n",
       " ('부인', 4),\n",
       " ('여력', 4),\n",
       " ('리서치', 4),\n",
       " ('계획안', 4),\n",
       " ('본업', 4),\n",
       " ('사흘', 4),\n",
       " ('있다', 4),\n",
       " ('금액', 4),\n",
       " ('행원', 4),\n",
       " ('제보자', 4),\n",
       " ('독립', 4),\n",
       " ('계층', 4),\n",
       " ('전달', 4),\n",
       " ('OK저축은행', 4),\n",
       " ('권리', 4),\n",
       " ('거주자', 4),\n",
       " ('어르신', 4),\n",
       " ('사항', 4),\n",
       " ('당기', 4),\n",
       " ('청약', 4),\n",
       " ('목소리', 4),\n",
       " ('재기', 4),\n",
       " ('설문', 4),\n",
       " ('거론', 4),\n",
       " ('나흘', 4),\n",
       " ('학습', 4),\n",
       " ('현대카드', 4),\n",
       " ('차례', 4),\n",
       " ('핫라인', 4),\n",
       " ('7월', 4),\n",
       " ('통화량', 4),\n",
       " ('레몬', 4),\n",
       " ('권유', 4),\n",
       " ('사고', 3),\n",
       " ('국가', 3),\n",
       " ('우수', 3),\n",
       " ('은퇴', 3),\n",
       " ('연동', 3),\n",
       " ('드라이브', 3),\n",
       " ('활용', 3),\n",
       " ('파전', 3),\n",
       " ('주간', 3),\n",
       " ('10억', 3),\n",
       " ('운용사', 3),\n",
       " ('부문', 3),\n",
       " ('링링', 3),\n",
       " ('소폭', 3),\n",
       " ('사업자', 3),\n",
       " ('제안', 3),\n",
       " ('바람', 3),\n",
       " ('자격', 3),\n",
       " ('확인', 3),\n",
       " ('문제', 3),\n",
       " ('유튜브', 3),\n",
       " ('채널', 3),\n",
       " ('생각', 3),\n",
       " ('전쟁', 3),\n",
       " ('이제', 3),\n",
       " ('벤처', 3),\n",
       " ('종목', 3),\n",
       " ('에세이', 3),\n",
       " ('아이', 3),\n",
       " ('점수', 3),\n",
       " ('대상자', 3),\n",
       " ('먹구름', 3),\n",
       " ('현실', 3),\n",
       " ('미중', 3),\n",
       " ('격려', 3),\n",
       " ('제시', 3),\n",
       " ('무게', 3),\n",
       " ('기조', 3),\n",
       " ('악재', 3),\n",
       " ('다와', 3),\n",
       " ('대형', 3),\n",
       " ('속도', 3),\n",
       " ('산정', 3),\n",
       " ('고용', 3),\n",
       " ('창출', 3),\n",
       " ('봇물', 3),\n",
       " ('중고차', 3),\n",
       " ('가상', 3),\n",
       " ('화폐', 3),\n",
       " ('변화', 3),\n",
       " ('일부', 3),\n",
       " ('최소', 3),\n",
       " ('실질', 3),\n",
       " ('유지', 3),\n",
       " ('기업은행', 3),\n",
       " ('신용등급', 3),\n",
       " ('집단', 3),\n",
       " ('불가', 3),\n",
       " ('포용', 3),\n",
       " ('당주', 3),\n",
       " ('인기', 3),\n",
       " ('구슬땀', 3),\n",
       " ('동반', 3),\n",
       " ('생태계', 3),\n",
       " ('전이', 3),\n",
       " ('일축', 3),\n",
       " ('혼잡', 3),\n",
       " ('주주', 3),\n",
       " ('배당금', 3),\n",
       " ('강남', 3),\n",
       " ('여유', 3),\n",
       " ('중앙은행', 3),\n",
       " ('앙금', 3),\n",
       " ('달마', 3),\n",
       " ('블록체인', 3),\n",
       " ('행진', 3),\n",
       " ('재무', 3),\n",
       " ('부실', 3),\n",
       " ('대로', 3),\n",
       " ('만큼', 3),\n",
       " ('사이트', 3),\n",
       " ('기회', 3),\n",
       " ('자문단', 3),\n",
       " ('공사', 3),\n",
       " ('대우', 3),\n",
       " ('설계', 3),\n",
       " ('웃음꽃', 3),\n",
       " ('지식', 3),\n",
       " ('동기', 3),\n",
       " ('대구', 3),\n",
       " ('얘기', 3),\n",
       " ('유의', 3),\n",
       " ('릴레이', 3),\n",
       " ('행복', 3),\n",
       " ('여자', 3),\n",
       " ('아마추어', 3),\n",
       " ('데이', 3),\n",
       " ('경남', 3),\n",
       " ('전반', 3),\n",
       " ('모멘텀', 3),\n",
       " ('초석', 3),\n",
       " ('예탁', 3),\n",
       " ('방식', 3),\n",
       " ('극일', 3),\n",
       " ('벼랑', 3),\n",
       " ('NH투자증권', 3),\n",
       " ('적자', 3),\n",
       " ('통장', 3),\n",
       " ('공포', 3),\n",
       " ('불편', 3),\n",
       " ('교육과정', 3),\n",
       " ('서류', 3),\n",
       " ('신설', 3),\n",
       " ('도약', 3),\n",
       " ('재정', 3),\n",
       " ('공략', 3),\n",
       " ('소송', 3),\n",
       " ('연장', 3),\n",
       " ('중소', 3),\n",
       " ('달성', 3),\n",
       " ('생존', 3),\n",
       " ('구속영장', 3),\n",
       " ('보금자리', 3),\n",
       " ('대위', 3),\n",
       " ('금통위', 3),\n",
       " ('정무위', 3),\n",
       " ('수용', 3),\n",
       " ('2015년', 3),\n",
       " ('변수', 3),\n",
       " ('화재', 3),\n",
       " ('사상', 3),\n",
       " ('강보', 3),\n",
       " ('매수', 3),\n",
       " ('나이스', 3),\n",
       " ('개소', 3),\n",
       " ('탑재', 3),\n",
       " ('상품권', 3),\n",
       " ('장외', 3),\n",
       " ...]"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted(word_dict2.items(), key=lambda x : x[1], reverse=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "from wordcloud import WordCloud\n",
    "import matplotlib.pyplot as plt\n",
    "wc = WordCloud(\n",
    "    max_font_size=100,\n",
    "    width = 800,\n",
    "    height = 800\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "display_name": "Python 3",
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   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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 },
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