10w_kor_wordcloud.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9y4LHN1yOhNh"
      },
      "source": [
        "# 8장. 텍스트빈도분석 - 2) 한글 단어 분석 "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "r4Pm7ZCkOhNj"
      },
      "source": [
        "## 한글 단어 분석을 위한 패키지 준비"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import files \n",
        "file = files.upload()"
      ],
      "metadata": {
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/files.js": {
              "data": "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",
              "ok": true,
              "headers": [
                [
                  "content-type",
                  "application/javascript"
                ]
              ],
              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 77
        },
        "id": "V_IGLThXPUWW",
        "outputId": "8d0f83a4-42bb-4999-8a8d-eecc53367b06"
      },
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-ac83172d-999a-4a48-ad86-cb1ca66d0d49\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-ac83172d-999a-4a48-ad86-cb1ca66d0d49\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saving etnews.kr_facebook_2016-01-01_2018-08-01_4차 산업혁명.json to etnews.kr_facebook_2016-01-01_2018-08-01_4차 산업혁명 (3).json\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install konlpy"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "otTxGzLnO8PX",
        "outputId": "6b3701b2-11a2-4b8d-b875-e613e450b388"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: konlpy in /usr/local/lib/python3.7/dist-packages (0.6.0)\n",
            "Requirement already satisfied: lxml>=4.1.0 in /usr/local/lib/python3.7/dist-packages (from konlpy) (4.2.6)\n",
            "Requirement already satisfied: numpy>=1.6 in /usr/local/lib/python3.7/dist-packages (from konlpy) (1.21.6)\n",
            "Requirement already satisfied: JPype1>=0.7.0 in /usr/local/lib/python3.7/dist-packages (from konlpy) (1.3.0)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from JPype1>=0.7.0->konlpy) (4.2.0)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "metadata": {
        "id": "ABN8gP6OOhNj"
      },
      "outputs": [],
      "source": [
        "import json\n",
        "import re\n",
        "\n",
        "from konlpy.tag import Okt\n",
        "\n",
        "from collections import Counter\n",
        "\n",
        "import matplotlib\n",
        "import matplotlib.pyplot as plt\n",
        "from matplotlib import font_manager, rc\n",
        "from wordcloud import WordCloud"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zCgwC-ViOhNj"
      },
      "source": [
        "# 1. 데이터 준비"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HDNkcIipOhNk"
      },
      "source": [
        "### 1-1. 파일 읽기"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 31,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xmDBJTE2OhNk",
        "outputId": "1bb1ad1e-ee9b-4afc-9051-d41c04891c29"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[{'created_time': '2018-06-20 18:06:39',\n",
              "  'link': 'https://www.facebook.com/etnews.kr/videos/1981346601899735/',\n",
              "  'message': '6월의 스파크포럼 - \"미래 시대, 조직의 변화도 시작됐다!\"\\n\\n스파크포럼은 현 사회의 사회문제 및 이슈를 제기하고, 그 이슈를 혁신적으로 해결하고자 하는 소셜이노베이터를 발굴, 지원하여 우리 사회 따뜻한 변화를 확산시키지 위해 만들어진 도전과 만남의 자리입니다.\\n\\n6월의 스파크포럼에서는 4차 산업혁명 시대의 기업조직과 조직문화를 살펴보고, 조직의 변화를 받아들이고 실험해나가는 사례를 통해 미래 시대 조직이 나아가야 할 방향을 함께 생각해보고자 합니다.',\n",
              "  'name': '6월의 스파크포럼 - \"미래 시대, 조직의 변화도 시작됐다!\"',\n",
              "  'post_id': '407886705912407_1981346601899735',\n",
              "  'total_comments': 3},\n",
              " {'created_time': '2018-06-14 10:41:16',\n",
              "  'link': 'http://www.etnews.com/20180612000347',\n",
              "  'message': '로봇이 4차 산업혁명 주요 성장 동력으로 떠오르면서 국내 로봇 기업에 재평가가 이뤄지고 있다는 분석입니다.',\n",
              "  'name': '기술력 갖춘 로봇기업 몸값 치솟는다',\n",
              "  'post_id': '407886705912407_1971252229575839',\n",
              "  'total_comments': 0},\n",
              " {'created_time': '2018-04-10 17:42:00',\n",
              "  'link': 'http://www.etnews.com/20180409000360?mc=em_002_00001',\n",
              "  'message': '4차 산업혁명 시대 금융 산업 전반 점검해야 한다는...',\n",
              "  'name': \"휘청거리는 대한민국 '금융'...서민도 기업도 ICT도 실종\",\n",
              "  'post_id': '407886705912407_1900738133293916',\n",
              "  'total_comments': 0},\n",
              " {'created_time': '2018-03-05 12:05:00',\n",
              "  'link': 'https://goo.gl/qPEyAJ',\n",
              "  'message': \"공통 간판 공약은 '4차 산업혁명 선도 도시 구현'과 '가상화폐·블록체인 기술 활용' 등입니다. https://goo.gl/qPEyAJ\",\n",
              "  'name': \"지방선거 D-100 정책 공약 '4차산업혁명'에 초점\",\n",
              "  'post_id': '407886705912407_1859978837369846',\n",
              "  'total_comments': 0},\n",
              " {'created_time': '2018-02-05 17:20:01',\n",
              "  'link': 'http://www.etnews.com/20180205000237',\n",
              "  'message': '이번 과정은 4차 산업혁명 핵심 기술인 AI에 대한 통찰력과 알파고를 통해 우리 일상과 익숙해진 로봇, 빅데이터 산업 흐름을 알려줍니다. #인공지능 #최고위과정 #산학연최고전문가 https://goo.gl/jSZSNX',\n",
              "  'name': '[알림]제2기 인공지능 최고위 과정 모집',\n",
              "  'post_id': '407886705912407_1829059807128416',\n",
              "  'total_comments': 0},\n",
              " {'created_time': '2018-01-29 23:39:00',\n",
              "  'link': 'http://www.etnews.com/20180129000403?mc=em_003_00001',\n",
              "  'message': '4차 산업혁명 모든 기술과 서비스 구현',\n",
              "  'name': \"첫 스마트시티 '부산·세종' 낙점...규제 프리존으로\",\n",
              "  'post_id': '407886705912407_1821177084583355',\n",
              "  'total_comments': 0},\n",
              " {'created_time': '2017-11-09 18:11:43',\n",
              "  'link': 'http://www.sek.co.kr/2017/nbf',\n",
              "  'message': '산업혁명의 나라, 영국엔 4차 산업혁명이 없다?\\n한국-영국 경험과 지혜를 모으는 ‘미래비즈니스포럼 2017’ 개최',\n",
              "  'name': '미래비즈니스포럼 2017 : 손에 잡히는 4차 산업혁명',\n",
              "  'post_id': '407886705912407_1735224763178588',\n",
              "  'total_comments': 0},\n",
              " {'created_time': '2017-10-25 13:08:49',\n",
              "  'link': 'https://www.facebook.com/etnews.kr/videos/1720053844695680/',\n",
              "  'message': \"[전자신문TV 라이브] SBA 신직업위크\\n\\n4차 산업혁명 시대의 경쟁력 확보와 일자리 창출의 해법을 신직업에서 찾고 있는 서울산업진흥원(SBA)이 자신들의 역량과 노력을 모두 담은 '제 2회 신직업위크'를 진행하고 있습니다.\\n\\n이번 전자신문TV라이브는 서울 대치동 SBA 신직업교육센터에서 강만구 신직업교육팀장과 서지윤 신직업리서치팀수석, 윤석원 테스트웍스 대표 등과 함께 '제 2회 신직업위크'와 최신 신직업트렌드를 알아보는 시간으로 마련했습니다. 많은 시청 바랍니다. \\n\\n#전자신문 #전자신문엔터 #전자신문TV #라이브 #소셜방송 #현장라이브 #손보련 #신직업위크 #서울산업진흥원 #SBA #신직업 #서울 #강만구 #서지윤 #윤석원 #테스트웍스 #소프트웨어 #테스터 #소프트웨어테스터\",\n",
              "  'name': '[전자신문TV 라이브] SBA 신직업위크',\n",
              "  'post_id': '407886705912407_1720053844695680',\n",
              "  'total_comments': 0},\n",
              " {'created_time': '2017-10-06 11:50:00',\n",
              "  'link': 'http://www.etnews.com/20171005000056?mc=em_011_00001',\n",
              "  'message': '혹시 우리나라도?~~4차 산업혁명 시대 떠오르는 일자리 전략으로 강추~~',\n",
              "  'name': '日, 인공지능 활용능력 자격시험 만든다',\n",
              "  'post_id': '407886705912407_1700789646622100',\n",
              "  'total_comments': 1},\n",
              " {'created_time': '2017-09-25 15:30:00',\n",
              "  'link': 'http://www.etnews.com/20170924000106?mc=em_003_00001',\n",
              "  'message': '4차 산업혁명 대응에 가장 강점 분야는 5세대 이동통신...건강한 산업 생태계 조성 노력 강조',\n",
              "  'name': \"김상조 공정위원장 “기업집단국, 조사국과 달라…'존경받는 기업' 만드는 게 핵심”\",\n",
              "  'post_id': '407886705912407_1691461310888267',\n",
              "  'total_comments': 0},\n",
              " {'created_time': '2017-08-29 00:54:00',\n",
              "  'link': 'http://www.etnews.com/20170825000162?mc=em_009_00001',\n",
              "  'message': \"중앙부처 공무원 51.3% '4차 산업혁명 관련 가장 시급히 대응해야 할 기술적 과제'로 빅데이터 활용 꼽\",\n",
              "  'name': '현직 공무원들 \"빅데이터·AI, 정책에 적극 활용\"…4차 산업혁명 인식 높아',\n",
              "  'post_id': '407886705912407_1665258370175228',\n",
              "  'total_comments': 1},\n",
              " {'created_time': '2017-08-17 15:37:14',\n",
              "  'link': 'https://www.facebook.com/etnews.kr/videos/1655135431187522/',\n",
              "  'message': '[전자신문TV 라이브] 직격인터뷰 - 서울산업진흥원(SBA) 주형철 대표이사\\n\\n최근 각급 공공기관들이 4차 산업혁명기를 맞은 국내 중소기업의 경쟁력과 일자리 창출을 위해 노력하고 있는데요.\\n\\n이번 전자신문TV 라이브는 중소기업 활성화와 일자리 창출에 앞장서는 공공기관 중 대표적 사례로 꼽히는 서울산업진흥원 주형철 대표이사를 모시고 다양한 이야기를 듣는 시간으로 진행됩니다.\\n\\n#전자신문 #전자신문TV #서울산업진흥원 #SBA #주형철 #소성렬',\n",
              "  'name': '[전자신문TV 라이브] 직격인터뷰 - 서울산업진흥원(SBA) 주형철 대표이사',\n",
              "  'post_id': '407886705912407_1655135431187522',\n",
              "  'total_comments': 15},\n",
              " {'created_time': '2017-08-12 17:48:00',\n",
              "  'link': 'http://www.etnews.com/20170810000414?mc=em_009_00001',\n",
              "  'message': '4차 산업혁명 대응은 일자리 창출과 함께 문재인 정부 주요 국정 과제인 데도 우선순위에서 밀렸다는 지적',\n",
              "  'name': '4차 산업혁명위 출범 후순위로 밀렸다',\n",
              "  'post_id': '407886705912407_1648865381814527',\n",
              "  'total_comments': 0},\n",
              " {'created_time': '2017-06-09 22:00:00',\n",
              "  'link': 'http://www.etnews.com/20170608000300?mc=em_009_00001',\n",
              "  'message': '통합·개혁 행보에서 빠른 움직임을 보였지만 4차 산업혁명 등 신성장동력 창출에서는 한 발짝도 못 나갔다는 평입니다...',\n",
              "  'name': \"새정부 출범 한 달...'통합·개혁'엔 진일보, '4차 산업혁명 대응' 한발짝도 못 나가\",\n",
              "  'post_id': '407886705912407_1579376925430040',\n",
              "  'total_comments': 4},\n",
              " {'created_time': '2017-05-24 18:30:00',\n",
              "  'link': 'http://www.etnews.com/20170524000281?mc=em_001_00001',\n",
              "  'message': \"미래창조과학부가 주최하고 전자신문사, 한국경제신문, 한국정보통신진흥협회(KAIT) 주관으로 24일 서울 강남구 삼성동 코엑스에서 개막된 '월드IT쇼(WIS) 2017'은 4차 산업혁명이 더 이상 개념이 아니라 현실로 다가왔음을 입증했습니다~\",\n",
              "  'name': '[WIS 2017]4차 산업혁명, 현실과 마주한 날',\n",
              "  'post_id': '407886705912407_1562807837086949',\n",
              "  'total_comments': 0},\n",
              " {'created_time': '2017-05-17 18:38:04',\n",
              "  'link': 'https://www.facebook.com/etnews.kr/photos/a.409377469096664/1556319464402453/?type=3',\n",
              "  'message': '[전자신문TV 라이브 예고]\\n이번 전자신문TV는 4차 산업혁명과 과학기술 영상컨퍼런스를 생중계합니다~! 광운대학교 이승현 교수님을 모시고 진행하는 이번 행사는 VR. AR 기술과 몰힙형 미디어에 대해 설명해 주신다고 합니다!\\n\\n이번 행사는 전자신문 Entertainment와 가상현실 스튜디오 솔루션을 제작한 다림비젼, 중견기업TV와 함께  4차 산업 정보 채널 IBSB(IT Tech. & Business SNS Broadcast)를 통해 진행합니다.\\n\\nIBSB는 전세계 4차 산업 혁명의 현장의 생생한 IT 소식과 정보, 컨퍼런스의 강연, VOD정보를 VR 기술과 원격 Live방송 기술을 중심으로 시간과 거리를 초월하는 실시간 TELE-Presentation 기술의 새로운 방송 서비스입니다.\\n\\n이런 유익한 강의를 전자신문 페이스북을 통해서 시청하실 수 있습니다~ 많은 관심부탁드립니다♥',\n",
              "  'name': 'Timeline Photos',\n",
              "  'post_id': '407886705912407_1556319464402453',\n",
              "  'total_comments': 1},\n",
              " {'created_time': '2017-04-05 07:00:00',\n",
              "  'link': 'http://www.etnews.com/20170404000230',\n",
              "  'message': '대선 국면이지만 법안의 시급성 때문에 4차 산업혁명 대비 법제 개편 논의가 불붙을 전망입니다...',\n",
              "  'name': \"'4차 산업혁명 기본법' 나왔다…대선 기간 법제화 논의 불붙을듯\",\n",
              "  'post_id': '407886705912407_1505222409512159',\n",
              "  'total_comments': 1},\n",
              " {'created_time': '2017-02-14 08:30:01',\n",
              "  'link': 'http://www.etnews.com/20170213000307',\n",
              "  'message': '4차 산업혁명 시대 대비!!!',\n",
              "  'name': '[차기 정부 거버넌스 개편 방향 좌담회]\"400조 정부, 혁신부총리가 답이다\"',\n",
              "  'post_id': '407886705912407_1452393468128387',\n",
              "  'total_comments': 0},\n",
              " {'created_time': '2016-01-25 06:00:00',\n",
              "  'link': 'http://www.etnews.com/20160124000075',\n",
              "  'message': '‘#4차산업혁명 의 이해(Mastering the Fourth Industrial Revolution)’...\\n23일 폐막한 #다보스포럼 에서는  4차 산업혁명 기대와 우려가 교차했는데요. 구글, 애플, 페이스북, 삼성전자, LG전자가 앞다퉈 4차 산업혁명 흐름에 뛰어 들고 있습니다.',\n",
              "  'name': '[이슈분석]다보스포럼, 4차 산업혁명 기대와 우려 교차',\n",
              "  'post_id': '407886705912407_1106254916075579',\n",
              "  'total_comments': 0}]"
            ]
          },
          "metadata": {},
          "execution_count": 31
        }
      ],
      "source": [
        "inputFileName = 'etnews.kr_facebook_2016-01-01_2018-08-01_4차 산업혁명'\n",
        "data = json.loads(open(inputFileName+'.json', 'r', encoding='utf-8').read())\n",
        "data #출력하여 내용 확인"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1NERGZU8OhNk"
      },
      "source": [
        "### 1-2. 분석할 데이터 추출"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 32,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 167
        },
        "id": "1VOjvz3ROhNl",
        "outputId": "9c0adc45-f805-4fc0-d8d3-88f65ee13064"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'6월의 스파크포럼    미래 시대  조직의 변화도 시작됐다    스파크포럼은 현 사회의 사회문제 및 이슈를 제기하고  그 이슈를 혁신적으로 해결하고자 하는 소셜이노베이터를 발굴  지원하여 우리 사회 따뜻한 변화를 확산시키지 위해 만들어진 도전과 만남의 자리입니다   6월의 스파크포럼에서는 4차 산업혁명 시대의 기업조직과 조직문화를 살펴보고  조직의 변화를 받아들이고 실험해나가는 사례를 통해 미래 시대 조직이 나아가야 할 방향을 함께 생각해보고자 합니다 로봇이 4차 산업혁명 주요 성장 동력으로 떠오르면서 국내 로봇 기업에 재평가가 이뤄지고 있다는 분석입니다 4차 산업혁명 시대 금융 산업 전반 점검해야 한다는   공통 간판 공약은  4차 산업혁명 선도 도시 구현 과  가상화폐 블록체인 기술 활용  등입니다  https   goo gl qPEyAJ이번 과정은 4차 산업혁명 핵심 기술인 AI에 대한 통찰력과 알파고를 통해 우리 일상과 익숙해진 로봇  빅데이터 산업 흐름을 알려줍니다   인공지능  최고위과정  산학연최고전문가 https   goo gl jSZSNX4차 산업혁명 모든 기술과 서비스 구현산업혁명의 나라  영국엔 4차 산업혁명이 없다  한국 영국 경험과 지혜를 모으는  미래비즈니스포럼 2017  개최 전자신문TV 라이브  SBA 신직업위크  4차 산업혁명 시대의 경쟁력 확보와 일자리 창출의 해법을 신직업에서 찾고 있는 서울산업진흥원 SBA 이 자신들의 역량과 노력을 모두 담은  제 2회 신직업위크 를 진행하고 있습니다   이번 전자신문TV라이브는 서울 대치동 SBA 신직업교육센터에서 강만구 신직업교육팀장과 서지윤 신직업리서치팀수석  윤석원 테스트웍스 대표 등과 함께  제 2회 신직업위크 와 최신 신직업트렌드를 알아보는 시간으로 마련했습니다  많은 시청 바랍니다     전자신문  전자신문엔터  전자신문TV  라이브  소셜방송  현장라이브  손보련  신직업위크  서울산업진흥원  SBA  신직업  서울  강만구  서지윤  윤석원  테스트웍스  소프트웨어  테스터  소프트웨어테스터혹시 우리나라도   4차 산업혁명 시대 떠오르는 일자리 전략으로 강추  4차 산업혁명 대응에 가장 강점 분야는 5세대 이동통신   건강한 산업 생태계 조성 노력 강조중앙부처 공무원 51 3   4차 산업혁명 관련 가장 시급히 대응해야 할 기술적 과제 로 빅데이터 활용 꼽 전자신문TV 라이브  직격인터뷰   서울산업진흥원 SBA  주형철 대표이사  최근 각급 공공기관들이 4차 산업혁명기를 맞은 국내 중소기업의 경쟁력과 일자리 창출을 위해 노력하고 있는데요   이번 전자신문TV 라이브는 중소기업 활성화와 일자리 창출에 앞장서는 공공기관 중 대표적 사례로 꼽히는 서울산업진흥원 주형철 대표이사를 모시고 다양한 이야기를 듣는 시간으로 진행됩니다    전자신문  전자신문TV  서울산업진흥원  SBA  주형철  소성렬4차 산업혁명 대응은 일자리 창출과 함께 문재인 정부 주요 국정 과제인 데도 우선순위에서 밀렸다는 지적통합 개혁 행보에서 빠른 움직임을 보였지만 4차 산업혁명 등 신성장동력 창출에서는 한 발짝도 못 나갔다는 평입니다   미래창조과학부가 주최하고 전자신문사  한국경제신문  한국정보통신진흥협회 KAIT  주관으로 24일 서울 강남구 삼성동 코엑스에서 개막된  월드IT쇼 WIS  2017 은 4차 산업혁명이 더 이상 개념이 아니라 현실로 다가왔음을 입증했습니다  전자신문TV 라이브 예고  이번 전자신문TV는 4차 산업혁명과 과학기술 영상컨퍼런스를 생중계합니다   광운대학교 이승현 교수님을 모시고 진행하는 이번 행사는 VR  AR 기술과 몰힙형 미디어에 대해 설명해 주신다고 합니다   이번 행사는 전자신문 Entertainment와 가상현실 스튜디오 솔루션을 제작한 다림비젼  중견기업TV와 함께  4차 산업 정보 채널 IBSB IT Tech    Business SNS Broadcast 를 통해 진행합니다   IBSB는 전세계 4차 산업 혁명의 현장의 생생한 IT 소식과 정보  컨퍼런스의 강연  VOD정보를 VR 기술과 원격 Live방송 기술을 중심으로 시간과 거리를 초월하는 실시간 TELE Presentation 기술의 새로운 방송 서비스입니다   이런 유익한 강의를 전자신문 페이스북을 통해서 시청하실 수 있습니다  많은 관심부탁드립니다 대선 국면이지만 법안의 시급성 때문에 4차 산업혁명 대비 법제 개편 논의가 불붙을 전망입니다   4차 산업혁명 시대 대비     4차산업혁명 의 이해 Mastering the Fourth Industrial Revolution      23일 폐막한  다보스포럼 에서는  4차 산업혁명 기대와 우려가 교차했는데요  구글  애플  페이스북  삼성전자  LG전자가 앞다퉈 4차 산업혁명 흐름에 뛰어 들고 있습니다 '"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 32
        }
      ],
      "source": [
        "message = ''\n",
        "\n",
        "for item in data:\n",
        "    if 'message' in item.keys(): \n",
        "        message = message + re.sub(r'[^\\w]', ' ', item['message']) +''\n",
        "        \n",
        "message #출력하여 내용 확인"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mOcwvWsaOhNl"
      },
      "source": [
        "### 1-3. 품사 태깅 : 명사 추출"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 33,
      "metadata": {
        "scrolled": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "o7kcXHhgOhNl",
        "outputId": "f97a6568-0d07-49f9-9beb-a72cead85927"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['스파크',\n",
              " '포럼',\n",
              " '미래',\n",
              " '시대',\n",
              " '조직',\n",
              " '변화',\n",
              " '시작',\n",
              " '스파크',\n",
              " '포럼',\n",
              " '현',\n",
              " '사회',\n",
              " '사회',\n",
              " '문제',\n",
              " '및',\n",
              " '이슈',\n",
              " '제기',\n",
              " '그',\n",
              " '이슈',\n",
              " '혁신',\n",
              " '해결',\n",
              " '소셜',\n",
              " '이노',\n",
              " '베이',\n",
              " '터',\n",
              " '발굴',\n",
              " '지원',\n",
              " '우리',\n",
              " '사회',\n",
              " '변화',\n",
              " '확산',\n",
              " '위해',\n",
              " '도전',\n",
              " '만남',\n",
              " '자리',\n",
              " '스파크',\n",
              " '포럼',\n",
              " '차',\n",
              " '산업혁명',\n",
              " '시대',\n",
              " '기업',\n",
              " '조직',\n",
              " '직문',\n",
              " '조직',\n",
              " '변화',\n",
              " '실험',\n",
              " '사례',\n",
              " '통해',\n",
              " '미래',\n",
              " '시대',\n",
              " '조직',\n",
              " '방향',\n",
              " '생각',\n",
              " '로봇',\n",
              " '차',\n",
              " '산업혁명',\n",
              " '주요',\n",
              " '성장',\n",
              " '동력',\n",
              " '국내',\n",
              " '로봇',\n",
              " '기업',\n",
              " '재',\n",
              " '평가',\n",
              " '분석',\n",
              " '차',\n",
              " '산업혁명',\n",
              " '시대',\n",
              " '금융',\n",
              " '산업',\n",
              " '전반',\n",
              " '점검',\n",
              " '공통',\n",
              " '간판',\n",
              " '공약',\n",
              " '차',\n",
              " '산업혁명',\n",
              " '선도',\n",
              " '도시',\n",
              " '구현',\n",
              " '과',\n",
              " '가상',\n",
              " '화폐',\n",
              " '블록',\n",
              " '체인',\n",
              " '기술',\n",
              " '활용',\n",
              " '등',\n",
              " '이번',\n",
              " '과정',\n",
              " '차',\n",
              " '산업혁명',\n",
              " '핵심',\n",
              " '기술',\n",
              " '대한',\n",
              " '통찰',\n",
              " '알파',\n",
              " '통해',\n",
              " '우리',\n",
              " '일상',\n",
              " '로봇',\n",
              " '빅데이터',\n",
              " '산업',\n",
              " '흐름',\n",
              " '인공',\n",
              " '지능',\n",
              " '최고',\n",
              " '위',\n",
              " '과정',\n",
              " '산학',\n",
              " '최고',\n",
              " '전문가',\n",
              " '차',\n",
              " '산업혁명',\n",
              " '모든',\n",
              " '기술',\n",
              " '서비스',\n",
              " '산업혁명',\n",
              " '나라',\n",
              " '영국',\n",
              " '차',\n",
              " '산업혁명',\n",
              " '한국',\n",
              " '영국',\n",
              " '경험',\n",
              " '지혜',\n",
              " '미래',\n",
              " '비즈니스',\n",
              " '포럼',\n",
              " '개최',\n",
              " '전자신문',\n",
              " '라이브',\n",
              " '직업',\n",
              " '위',\n",
              " '차',\n",
              " '산업혁명',\n",
              " '시대',\n",
              " '경쟁력',\n",
              " '확보',\n",
              " '일자리',\n",
              " '창',\n",
              " '해법',\n",
              " '직업',\n",
              " '산업',\n",
              " '진흥',\n",
              " '이',\n",
              " '자신',\n",
              " '역량',\n",
              " '노력',\n",
              " '모두',\n",
              " '제',\n",
              " '직업',\n",
              " '위',\n",
              " '를',\n",
              " '진행',\n",
              " '이번',\n",
              " '전자신문',\n",
              " '라이브',\n",
              " '서울',\n",
              " '대치동',\n",
              " '직업',\n",
              " '교육',\n",
              " '센터',\n",
              " '강',\n",
              " '만구',\n",
              " '직업',\n",
              " '교육',\n",
              " '팀',\n",
              " '지윤',\n",
              " '직업',\n",
              " '리서치',\n",
              " '팀',\n",
              " '수석',\n",
              " '윤석',\n",
              " '테스트',\n",
              " '웍스',\n",
              " '대표',\n",
              " '등',\n",
              " '제',\n",
              " '직업',\n",
              " '위',\n",
              " '최신',\n",
              " '직업',\n",
              " '트렌드',\n",
              " '시간',\n",
              " '마련',\n",
              " '시청',\n",
              " '전자신문',\n",
              " '전자신문',\n",
              " '터',\n",
              " '전자신문',\n",
              " '라이브',\n",
              " '소셜',\n",
              " '방송',\n",
              " '현장',\n",
              " '라이브',\n",
              " '손',\n",
              " '보련',\n",
              " '직업',\n",
              " '위',\n",
              " '산업',\n",
              " '진흥',\n",
              " '직업',\n",
              " '서울',\n",
              " '강',\n",
              " '만구',\n",
              " '지윤',\n",
              " '윤석',\n",
              " '테스트',\n",
              " '웍스',\n",
              " '소프트웨어',\n",
              " '테스',\n",
              " '터',\n",
              " '소프트웨어',\n",
              " '테스',\n",
              " '터',\n",
              " '혹시',\n",
              " '우리나라',\n",
              " '차',\n",
              " '산업혁명',\n",
              " '시대',\n",
              " '일자리',\n",
              " '전략',\n",
              " '강추',\n",
              " '차',\n",
              " '산업혁명',\n",
              " '대응',\n",
              " '가장',\n",
              " '강점',\n",
              " '분야',\n",
              " '세대',\n",
              " '이동통신',\n",
              " '산업',\n",
              " '생태계',\n",
              " '조성',\n",
              " '노력',\n",
              " '강조',\n",
              " '중앙',\n",
              " '부처',\n",
              " '공무원',\n",
              " '차',\n",
              " '산업혁명',\n",
              " '관련',\n",
              " '가장',\n",
              " '대응',\n",
              " '기술',\n",
              " '과제',\n",
              " '로',\n",
              " '빅데이터',\n",
              " '활용',\n",
              " '꼽',\n",
              " '전자신문',\n",
              " '라이브',\n",
              " '직',\n",
              " '격인',\n",
              " '터뷰',\n",
              " '산업',\n",
              " '진흥',\n",
              " '주형',\n",
              " '철',\n",
              " '대표이사',\n",
              " '최근',\n",
              " '급',\n",
              " '공공기관',\n",
              " '차',\n",
              " '산업혁명',\n",
              " '국내',\n",
              " '중소기업',\n",
              " '경쟁력',\n",
              " '일자리',\n",
              " '창',\n",
              " '위해',\n",
              " '노력',\n",
              " '이번',\n",
              " '전자신문',\n",
              " '라이브',\n",
              " '중소기업',\n",
              " '활성화',\n",
              " '일자리',\n",
              " '창',\n",
              " '공공기관',\n",
              " '중',\n",
              " '대표',\n",
              " '사례',\n",
              " '산업',\n",
              " '진흥',\n",
              " '주형',\n",
              " '철',\n",
              " '대표이사',\n",
              " '모시',\n",
              " '이야기',\n",
              " '시간',\n",
              " '진행',\n",
              " '전자신문',\n",
              " '전자신문',\n",
              " '산업',\n",
              " '진흥',\n",
              " '주형',\n",
              " '철',\n",
              " '렬',\n",
              " '차',\n",
              " '산업혁명',\n",
              " '대응',\n",
              " '일자리',\n",
              " '창',\n",
              " '문재인',\n",
              " '정부',\n",
              " '주요',\n",
              " '국정',\n",
              " '과제',\n",
              " '우선',\n",
              " '순위',\n",
              " '지적',\n",
              " '통합',\n",
              " '개혁',\n",
              " '행보',\n",
              " '움직임',\n",
              " '차',\n",
              " '산업혁명',\n",
              " '등',\n",
              " '성장동력',\n",
              " '창',\n",
              " '발짝',\n",
              " '못',\n",
              " '평',\n",
              " '미래창조과학부',\n",
              " '주최',\n",
              " '전자',\n",
              " '신문사',\n",
              " '한국',\n",
              " '경제',\n",
              " '신문',\n",
              " '국정',\n",
              " '보통신',\n",
              " '진흥',\n",
              " '협회',\n",
              " '주관',\n",
              " '서울',\n",
              " '강남구',\n",
              " '삼성동',\n",
              " '코엑스',\n",
              " '개막',\n",
              " '월드',\n",
              " '쇼',\n",
              " '은',\n",
              " '차',\n",
              " '산업혁명',\n",
              " '더',\n",
              " '이상',\n",
              " '개념',\n",
              " '현실',\n",
              " '음',\n",
              " '입증',\n",
              " '전자신문',\n",
              " '라이브',\n",
              " '예고',\n",
              " '이번',\n",
              " '전자신문',\n",
              " '차',\n",
              " '산업혁명',\n",
              " '과학기술',\n",
              " '영상',\n",
              " '컨퍼런스',\n",
              " '생중계',\n",
              " '광운대',\n",
              " '학교',\n",
              " '이승현',\n",
              " '교수',\n",
              " '모시',\n",
              " '진행',\n",
              " '이번',\n",
              " '행사',\n",
              " '기술',\n",
              " '몰힙형',\n",
              " '미디어',\n",
              " '대해',\n",
              " '설명',\n",
              " '이번',\n",
              " '행사',\n",
              " '전자신문',\n",
              " '가상현실',\n",
              " '스튜디오',\n",
              " '솔루션',\n",
              " '제작',\n",
              " '다림',\n",
              " '비젼',\n",
              " '중견',\n",
              " '기업',\n",
              " '차',\n",
              " '산업',\n",
              " '정보',\n",
              " '채널',\n",
              " '를',\n",
              " '통해',\n",
              " '진행',\n",
              " '전세계',\n",
              " '차',\n",
              " '산업',\n",
              " '혁명',\n",
              " '현장',\n",
              " '소식',\n",
              " '정보',\n",
              " '컨퍼런스',\n",
              " '강연',\n",
              " '정보',\n",
              " '기술',\n",
              " '원격',\n",
              " '방송',\n",
              " '기술',\n",
              " '중심',\n",
              " '시간',\n",
              " '거리',\n",
              " '초월',\n",
              " '실시간',\n",
              " '기술',\n",
              " '방송',\n",
              " '서비스',\n",
              " '강의',\n",
              " '전자신문',\n",
              " '페이스북',\n",
              " '통해',\n",
              " '시청',\n",
              " '수',\n",
              " '관심',\n",
              " '대선',\n",
              " '국면',\n",
              " '법안',\n",
              " '시급',\n",
              " '때문',\n",
              " '차',\n",
              " '산업혁명',\n",
              " '대비',\n",
              " '법제',\n",
              " '개편',\n",
              " '논의',\n",
              " '불',\n",
              " '전망',\n",
              " '차',\n",
              " '산업혁명',\n",
              " '시대',\n",
              " '대비',\n",
              " '차',\n",
              " '산업혁명',\n",
              " '의',\n",
              " '이해',\n",
              " '폐막',\n",
              " '다보스',\n",
              " '포럼',\n",
              " '차',\n",
              " '산업혁명',\n",
              " '기대',\n",
              " '우려',\n",
              " '교차',\n",
              " '구글',\n",
              " '애플',\n",
              " '페이스북',\n",
              " '삼성',\n",
              " '전자',\n",
              " '전자',\n",
              " '앞',\n",
              " '차',\n",
              " '산업혁명',\n",
              " '흐름']"
            ]
          },
          "metadata": {},
          "execution_count": 33
        }
      ],
      "source": [
        "nlp = Okt()\n",
        "message_N = nlp.nouns(message)\n",
        "message_N   #출력하여 내용 확인"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ksO1RALGOhNl"
      },
      "source": [
        "## 2. 데이터 탐색"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "s9H2AwNBOhNl"
      },
      "source": [
        "### 2-1. 단어 빈도 탐색"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 34,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Gu7PJLUWOhNm",
        "outputId": "1ca4ff5c-2ed3-4361-9c7e-5cd527da24c9"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Counter({'가상': 1,\n",
              "         '가상현실': 1,\n",
              "         '가장': 2,\n",
              "         '간판': 1,\n",
              "         '강': 2,\n",
              "         '강남구': 1,\n",
              "         '강연': 1,\n",
              "         '강의': 1,\n",
              "         '강점': 1,\n",
              "         '강조': 1,\n",
              "         '강추': 1,\n",
              "         '개념': 1,\n",
              "         '개막': 1,\n",
              "         '개최': 1,\n",
              "         '개편': 1,\n",
              "         '개혁': 1,\n",
              "         '거리': 1,\n",
              "         '격인': 1,\n",
              "         '경쟁력': 2,\n",
              "         '경제': 1,\n",
              "         '경험': 1,\n",
              "         '공공기관': 2,\n",
              "         '공무원': 1,\n",
              "         '공약': 1,\n",
              "         '공통': 1,\n",
              "         '과': 1,\n",
              "         '과정': 2,\n",
              "         '과제': 2,\n",
              "         '과학기술': 1,\n",
              "         '관련': 1,\n",
              "         '관심': 1,\n",
              "         '광운대': 1,\n",
              "         '교수': 1,\n",
              "         '교육': 2,\n",
              "         '교차': 1,\n",
              "         '구글': 1,\n",
              "         '구현': 1,\n",
              "         '국내': 2,\n",
              "         '국면': 1,\n",
              "         '국정': 2,\n",
              "         '그': 1,\n",
              "         '금융': 1,\n",
              "         '급': 1,\n",
              "         '기대': 1,\n",
              "         '기술': 8,\n",
              "         '기업': 3,\n",
              "         '꼽': 1,\n",
              "         '나라': 1,\n",
              "         '노력': 3,\n",
              "         '논의': 1,\n",
              "         '다림': 1,\n",
              "         '다보스': 1,\n",
              "         '대비': 2,\n",
              "         '대선': 1,\n",
              "         '대응': 3,\n",
              "         '대치동': 1,\n",
              "         '대표': 2,\n",
              "         '대표이사': 2,\n",
              "         '대한': 1,\n",
              "         '대해': 1,\n",
              "         '더': 1,\n",
              "         '도시': 1,\n",
              "         '도전': 1,\n",
              "         '동력': 1,\n",
              "         '등': 3,\n",
              "         '때문': 1,\n",
              "         '라이브': 7,\n",
              "         '렬': 1,\n",
              "         '로': 1,\n",
              "         '로봇': 3,\n",
              "         '를': 2,\n",
              "         '리서치': 1,\n",
              "         '마련': 1,\n",
              "         '만구': 2,\n",
              "         '만남': 1,\n",
              "         '모두': 1,\n",
              "         '모든': 1,\n",
              "         '모시': 2,\n",
              "         '몰힙형': 1,\n",
              "         '못': 1,\n",
              "         '문재인': 1,\n",
              "         '문제': 1,\n",
              "         '미디어': 1,\n",
              "         '미래': 3,\n",
              "         '미래창조과학부': 1,\n",
              "         '및': 1,\n",
              "         '발굴': 1,\n",
              "         '발짝': 1,\n",
              "         '방송': 3,\n",
              "         '방향': 1,\n",
              "         '법안': 1,\n",
              "         '법제': 1,\n",
              "         '베이': 1,\n",
              "         '변화': 3,\n",
              "         '보련': 1,\n",
              "         '보통신': 1,\n",
              "         '부처': 1,\n",
              "         '분석': 1,\n",
              "         '분야': 1,\n",
              "         '불': 1,\n",
              "         '블록': 1,\n",
              "         '비젼': 1,\n",
              "         '비즈니스': 1,\n",
              "         '빅데이터': 2,\n",
              "         '사례': 2,\n",
              "         '사회': 3,\n",
              "         '산업': 10,\n",
              "         '산업혁명': 22,\n",
              "         '산학': 1,\n",
              "         '삼성': 1,\n",
              "         '삼성동': 1,\n",
              "         '생각': 1,\n",
              "         '생중계': 1,\n",
              "         '생태계': 1,\n",
              "         '서비스': 2,\n",
              "         '서울': 3,\n",
              "         '선도': 1,\n",
              "         '설명': 1,\n",
              "         '성장': 1,\n",
              "         '성장동력': 1,\n",
              "         '세대': 1,\n",
              "         '센터': 1,\n",
              "         '소셜': 2,\n",
              "         '소식': 1,\n",
              "         '소프트웨어': 2,\n",
              "         '손': 1,\n",
              "         '솔루션': 1,\n",
              "         '쇼': 1,\n",
              "         '수': 1,\n",
              "         '수석': 1,\n",
              "         '순위': 1,\n",
              "         '스튜디오': 1,\n",
              "         '스파크': 3,\n",
              "         '시간': 3,\n",
              "         '시급': 1,\n",
              "         '시대': 7,\n",
              "         '시작': 1,\n",
              "         '시청': 2,\n",
              "         '신문': 1,\n",
              "         '신문사': 1,\n",
              "         '실시간': 1,\n",
              "         '실험': 1,\n",
              "         '알파': 1,\n",
              "         '앞': 1,\n",
              "         '애플': 1,\n",
              "         '역량': 1,\n",
              "         '영국': 2,\n",
              "         '영상': 1,\n",
              "         '예고': 1,\n",
              "         '우려': 1,\n",
              "         '우리': 2,\n",
              "         '우리나라': 1,\n",
              "         '우선': 1,\n",
              "         '움직임': 1,\n",
              "         '웍스': 2,\n",
              "         '원격': 1,\n",
              "         '월드': 1,\n",
              "         '위': 5,\n",
              "         '위해': 2,\n",
              "         '윤석': 2,\n",
              "         '은': 1,\n",
              "         '음': 1,\n",
              "         '의': 1,\n",
              "         '이': 1,\n",
              "         '이노': 1,\n",
              "         '이동통신': 1,\n",
              "         '이번': 6,\n",
              "         '이상': 1,\n",
              "         '이슈': 2,\n",
              "         '이승현': 1,\n",
              "         '이야기': 1,\n",
              "         '이해': 1,\n",
              "         '인공': 1,\n",
              "         '일상': 1,\n",
              "         '일자리': 5,\n",
              "         '입증': 1,\n",
              "         '자리': 1,\n",
              "         '자신': 1,\n",
              "         '재': 1,\n",
              "         '전략': 1,\n",
              "         '전망': 1,\n",
              "         '전문가': 1,\n",
              "         '전반': 1,\n",
              "         '전세계': 1,\n",
              "         '전자': 3,\n",
              "         '전자신문': 13,\n",
              "         '점검': 1,\n",
              "         '정보': 3,\n",
              "         '정부': 1,\n",
              "         '제': 2,\n",
              "         '제기': 1,\n",
              "         '제작': 1,\n",
              "         '조성': 1,\n",
              "         '조직': 4,\n",
              "         '주관': 1,\n",
              "         '주요': 2,\n",
              "         '주최': 1,\n",
              "         '주형': 3,\n",
              "         '중': 1,\n",
              "         '중견': 1,\n",
              "         '중소기업': 2,\n",
              "         '중심': 1,\n",
              "         '중앙': 1,\n",
              "         '지능': 1,\n",
              "         '지원': 1,\n",
              "         '지윤': 2,\n",
              "         '지적': 1,\n",
              "         '지혜': 1,\n",
              "         '직': 1,\n",
              "         '직문': 1,\n",
              "         '직업': 10,\n",
              "         '진행': 4,\n",
              "         '진흥': 6,\n",
              "         '차': 23,\n",
              "         '창': 5,\n",
              "         '채널': 1,\n",
              "         '철': 3,\n",
              "         '체인': 1,\n",
              "         '초월': 1,\n",
              "         '최고': 2,\n",
              "         '최근': 1,\n",
              "         '최신': 1,\n",
              "         '컨퍼런스': 2,\n",
              "         '코엑스': 1,\n",
              "         '터': 4,\n",
              "         '터뷰': 1,\n",
              "         '테스': 2,\n",
              "         '테스트': 2,\n",
              "         '통찰': 1,\n",
              "         '통합': 1,\n",
              "         '통해': 4,\n",
              "         '트렌드': 1,\n",
              "         '팀': 2,\n",
              "         '페이스북': 2,\n",
              "         '평': 1,\n",
              "         '평가': 1,\n",
              "         '폐막': 1,\n",
              "         '포럼': 5,\n",
              "         '학교': 1,\n",
              "         '한국': 2,\n",
              "         '해결': 1,\n",
              "         '해법': 1,\n",
              "         '핵심': 1,\n",
              "         '행보': 1,\n",
              "         '행사': 2,\n",
              "         '혁명': 1,\n",
              "         '혁신': 1,\n",
              "         '현': 1,\n",
              "         '현실': 1,\n",
              "         '현장': 2,\n",
              "         '협회': 1,\n",
              "         '혹시': 1,\n",
              "         '화폐': 1,\n",
              "         '확보': 1,\n",
              "         '확산': 1,\n",
              "         '활성화': 1,\n",
              "         '활용': 2,\n",
              "         '흐름': 2})"
            ]
          },
          "metadata": {},
          "execution_count": 34
        }
      ],
      "source": [
        "count = Counter(message_N)\n",
        "\n",
        "count   #출력하여 내용 확인"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 35,
      "metadata": {
        "scrolled": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DK16kAUgOhNm",
        "outputId": "e8707287-9e2b-4ee6-ce6c-fe3f13e8c113"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "산업혁명 : 22\n",
            "전자신문 : 13\n",
            "산업 : 10\n",
            "직업 : 10\n",
            "기술 : 8\n",
            "시대 : 7\n",
            "라이브 : 7\n",
            "이번 : 6\n",
            "진흥 : 6\n",
            "포럼 : 5\n",
            "일자리 : 5\n",
            "조직 : 4\n",
            "통해 : 4\n",
            "진행 : 4\n",
            "스파크 : 3\n",
            "미래 : 3\n",
            "변화 : 3\n",
            "사회 : 3\n",
            "기업 : 3\n",
            "로봇 : 3\n",
            "노력 : 3\n",
            "서울 : 3\n",
            "시간 : 3\n",
            "방송 : 3\n",
            "대응 : 3\n",
            "주형 : 3\n",
            "전자 : 3\n",
            "정보 : 3\n",
            "이슈 : 2\n",
            "소셜 : 2\n",
            "우리 : 2\n",
            "위해 : 2\n",
            "사례 : 2\n",
            "주요 : 2\n",
            "국내 : 2\n",
            "활용 : 2\n",
            "과정 : 2\n",
            "빅데이터 : 2\n",
            "흐름 : 2\n",
            "최고 : 2\n",
            "서비스 : 2\n",
            "영국 : 2\n",
            "한국 : 2\n",
            "경쟁력 : 2\n",
            "교육 : 2\n",
            "만구 : 2\n",
            "지윤 : 2\n",
            "윤석 : 2\n",
            "테스트 : 2\n",
            "웍스 : 2\n",
            "대표 : 2\n",
            "시청 : 2\n",
            "현장 : 2\n",
            "소프트웨어 : 2\n",
            "테스 : 2\n",
            "가장 : 2\n",
            "과제 : 2\n",
            "대표이사 : 2\n",
            "공공기관 : 2\n",
            "중소기업 : 2\n",
            "모시 : 2\n",
            "국정 : 2\n",
            "컨퍼런스 : 2\n",
            "행사 : 2\n",
            "페이스북 : 2\n",
            "대비 : 2\n",
            "시작 : 1\n",
            "문제 : 1\n"
          ]
        }
      ],
      "source": [
        "word_count = dict()\n",
        "\n",
        "for tag, counts in count.most_common(80):\n",
        "    if(len(str(tag))>1):\n",
        "        word_count[tag] = counts\n",
        "        print(\"%s : %d\" % (tag, counts))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BnK-oi5sOhNm"
      },
      "source": [
        "### 히스토그램"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!sudo apt-get install -y fonts-nanum\n",
        "!sudo fc-cache -fv\n",
        "!rm ~/.cache/matplotlib -rf\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "plt.rc('font', family='NanumBarunGothic') "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0loO4_47Rm5Y",
        "outputId": "1c183d8d-15dd-4940-c52e-2391299cfbae"
      },
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Reading package lists... Done\n",
            "Building dependency tree       \n",
            "Reading state information... Done\n",
            "fonts-nanum is already the newest version (20170925-1).\n",
            "The following packages were automatically installed and are no longer required:\n",
            "  libnvidia-common-460 nsight-compute-2020.2.0\n",
            "Use 'sudo apt autoremove' to remove them.\n",
            "0 upgraded, 0 newly installed, 0 to remove and 42 not upgraded.\n",
            "/usr/share/fonts: caching, new cache contents: 0 fonts, 1 dirs\n",
            "/usr/share/fonts/truetype: caching, new cache contents: 0 fonts, 3 dirs\n",
            "/usr/share/fonts/truetype/humor-sans: caching, new cache contents: 1 fonts, 0 dirs\n",
            "/usr/share/fonts/truetype/liberation: caching, new cache contents: 16 fonts, 0 dirs\n",
            "/usr/share/fonts/truetype/nanum: caching, new cache contents: 10 fonts, 0 dirs\n",
            "/usr/local/share/fonts: caching, new cache contents: 0 fonts, 0 dirs\n",
            "/root/.local/share/fonts: skipping, no such directory\n",
            "/root/.fonts: skipping, no such directory\n",
            "/var/cache/fontconfig: cleaning cache directory\n",
            "/root/.cache/fontconfig: not cleaning non-existent cache directory\n",
            "/root/.fontconfig: not cleaning non-existent cache directory\n",
            "fc-cache: succeeded\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 37,
      "metadata": {
        "scrolled": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 369
        },
        "id": "frIXOu8XOhNn",
        "outputId": "88d16610-b1f9-4be8-baa6-f13805775c48"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x360 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "plt.figure(figsize=(12,5))\n",
        "plt.xlabel('키워드')\n",
        "plt.ylabel('빈도수')\n",
        "plt.grid(True)\n",
        "\n",
        "sorted_Keys = sorted(word_count, key=word_count.get, reverse=True)\n",
        "sorted_Values = sorted(word_count.values(), reverse=True)\n",
        "\n",
        "plt.bar(range(len(word_count)), sorted_Values, align='center')\n",
        "plt.xticks(range(len(word_count)), list(sorted_Keys), rotation='75')\n",
        "\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_Sd4Wf-EOhNn"
      },
      "source": [
        "### 워드클라우드"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 38,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 366
        },
        "id": "dpKz-eQDOhNn",
        "outputId": "b09923b6-9a01-443c-c505-a40286ab9c74"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x576 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "wc = WordCloud(font_path=\"NanumBarunGothic.ttf\", background_color='ivory', width=800, height=600)\n",
        "cloud=wc.generate_from_frequencies(word_count)\n",
        "\n",
        "plt.figure(figsize=(8,8))\n",
        "plt.imshow(cloud)\n",
        "plt.axis('off')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 39,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WoNjmLZYOhNn",
        "outputId": "68cbf162-b1f7-4dd2-8f5e-664620ed8d89"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<wordcloud.wordcloud.WordCloud at 0x7f5980735890>"
            ]
          },
          "metadata": {},
          "execution_count": 39
        }
      ],
      "source": [
        "cloud.to_file(inputFileName + '_cloud.jpg')"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.8.3"
    },
    "colab": {
      "name": "코랩_한글단어분석(0430).ipynb",
      "provenance": [],
      "collapsed_sections": []
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}