02-inflearn-newyear-event-text-analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 인프런 2020년 새해 다짐 이벤트 댓글 분석\n",
    "* https://www.inflearn.com/pages/newyear-event-20200102\n",
    "* 영상 튜토리얼 : [댓글 수백 수천개 분석하기?! [1/5] 이벤트 데이터 크롤링 feat. 인프런 새해 다짐 이벤트 - YouTube](https://www.youtube.com/watch?v=OUSwQk79H8I&list=PLaTc2c6yEwmohRzCxWQqJ7Z9aqc-sQ5gC)\n",
    "\n",
    "## 기획자나 마케터가 되어 이벤트 댓글을 분석해 보자!\n",
    "### 내가 만약 수백 수천개의 댓글을 다 읽어봐야 한다면?\n",
    "### 댓글 속에 제품에 대한 관심을 빈도수로 추출해야 한다면?\n",
    "* 쇼핑몰에서 제품 관련 이벤트 진행시 어떤 제품을 고객이 선호하는지 알고 싶다면?\n",
    "* 고객 DB와 연계할 수 있다면 이벤트 혹은 마케팅 세그먼트로 활용해 볼 수도 있지 않을까?\n",
    "\n",
    "### 향후 마케팅이나 전략을 어떻게 세워야 할까?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 라이브러리 로드"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import re\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "%matplotlib inline\n",
    "# 시각화 결과가 선명하게 표시되도록\n",
    "%config InlineBackend.figure_format = 'retina'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 시각화를 위한 한글폰트 설정"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Window 한글폰트 설정\n",
    "# plt.rc(\"font\", family=\"Malgun Gothic\")\n",
    "# Mac 한글폰트 설정\n",
    "plt.rc(\"font\", family=\"AppleGothic\")\n",
    "plt.rc('axes', unicode_minus=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 크롤링한 파일 로드하기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1907, 1)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"inflearn-event.csv\")\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CS를 전공하고 있는 학생입니다. 새해에는 자바와 관련된 지식을 보다 깊이있게 쌓아...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>새해에는 새롭게. 웹 보안쪽으로 공부해보고싶습니다.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>몇년동안 바쁘게 달려오느라 습득하지 못한 기술들이 너무 많이 쌓였네요, \\n올해는 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>'2020년 공부 목표'\\n강의 수강을 통한 개인 역략 고도화 및 취업!!!\\n#관...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>'2020년 공부 목표'\\n웹 프론트엔드 영역 자유롭게 구사하는 기술 보유하여 스스...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                text\n",
       "0  CS를 전공하고 있는 학생입니다. 새해에는 자바와 관련된 지식을 보다 깊이있게 쌓아...\n",
       "1                       새해에는 새롭게. 웹 보안쪽으로 공부해보고싶습니다.\n",
       "2  몇년동안 바쁘게 달려오느라 습득하지 못한 기술들이 너무 많이 쌓였네요, \\n올해는 ...\n",
       "3  '2020년 공부 목표'\\n강의 수강을 통한 개인 역략 고도화 및 취업!!!\\n#관...\n",
       "4  '2020년 공부 목표'\\n웹 프론트엔드 영역 자유롭게 구사하는 기술 보유하여 스스..."
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1902</th>\n",
       "      <td>작년 한해도 일이 바쁘다, 야근해서 힘들다는 핑계로 김영한님의 JPA 강의를 또 스...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1903</th>\n",
       "      <td>저는 졸업을 1년 남기고 있는 컴퓨터공학과 학생입니다. 졸업 프로젝트로 웹/앱 개발...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1904</th>\n",
       "      <td>에프터 이펙트를 써본 적은 있는데, 매번 기초만 배우다 말았어요. 이걸 할 줄 안다...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1905</th>\n",
       "      <td>저번에 인프런에서 페이스북 마케팅 강의를 듣고 많은 도움을 받았습니다. 마케팅 업무...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1906</th>\n",
       "      <td>인프런 0호 팀원이에요!\\n그동안 서비스 개발 때문에 js 를 많이 했었는데 앞으론...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                   text\n",
       "1902  작년 한해도 일이 바쁘다, 야근해서 힘들다는 핑계로 김영한님의 JPA 강의를 또 스...\n",
       "1903  저는 졸업을 1년 남기고 있는 컴퓨터공학과 학생입니다. 졸업 프로젝트로 웹/앱 개발...\n",
       "1904  에프터 이펙트를 써본 적은 있는데, 매번 기초만 배우다 말았어요. 이걸 할 줄 안다...\n",
       "1905  저번에 인프런에서 페이스북 마케팅 강의를 듣고 많은 도움을 받았습니다. 마케팅 업무...\n",
       "1906  인프런 0호 팀원이에요!\\n그동안 서비스 개발 때문에 js 를 많이 했었는데 앞으론..."
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 데이터 전처리"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 네트워크 오류 등으로 발생한 중복 입력 값을 제거\n",
    "* 빈도 수 중복을 방지하기 위해"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1907, 1)\n",
      "(1875, 1)\n"
     ]
    }
   ],
   "source": [
    "print(df.shape)\n",
    "df = df.drop_duplicates([\"text\"], keep=\"last\")\n",
    "print(df.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 원본은 따로 보존"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "      <th>origin_text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CS를 전공하고 있는 학생입니다. 새해에는 자바와 관련된 지식을 보다 깊이있게 쌓아...</td>\n",
       "      <td>CS를 전공하고 있는 학생입니다. 새해에는 자바와 관련된 지식을 보다 깊이있게 쌓아...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>새해에는 새롭게. 웹 보안쪽으로 공부해보고싶습니다.</td>\n",
       "      <td>새해에는 새롭게. 웹 보안쪽으로 공부해보고싶습니다.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>몇년동안 바쁘게 달려오느라 습득하지 못한 기술들이 너무 많이 쌓였네요, \\n올해는 ...</td>\n",
       "      <td>몇년동안 바쁘게 달려오느라 습득하지 못한 기술들이 너무 많이 쌓였네요, \\n올해는 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>'2020년 공부 목표'\\n강의 수강을 통한 개인 역략 고도화 및 취업!!!\\n#관...</td>\n",
       "      <td>'2020년 공부 목표'\\n강의 수강을 통한 개인 역략 고도화 및 취업!!!\\n#관...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>'2020년 공부 목표'\\n웹 프론트엔드 영역 자유롭게 구사하는 기술 보유하여 스스...</td>\n",
       "      <td>'2020년 공부 목표'\\n웹 프론트엔드 영역 자유롭게 구사하는 기술 보유하여 스스...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                text  \\\n",
       "0  CS를 전공하고 있는 학생입니다. 새해에는 자바와 관련된 지식을 보다 깊이있게 쌓아...   \n",
       "1                       새해에는 새롭게. 웹 보안쪽으로 공부해보고싶습니다.   \n",
       "2  몇년동안 바쁘게 달려오느라 습득하지 못한 기술들이 너무 많이 쌓였네요, \\n올해는 ...   \n",
       "3  '2020년 공부 목표'\\n강의 수강을 통한 개인 역략 고도화 및 취업!!!\\n#관...   \n",
       "4  '2020년 공부 목표'\\n웹 프론트엔드 영역 자유롭게 구사하는 기술 보유하여 스스...   \n",
       "\n",
       "                                         origin_text  \n",
       "0  CS를 전공하고 있는 학생입니다. 새해에는 자바와 관련된 지식을 보다 깊이있게 쌓아...  \n",
       "1                       새해에는 새롭게. 웹 보안쪽으로 공부해보고싶습니다.  \n",
       "2  몇년동안 바쁘게 달려오느라 습득하지 못한 기술들이 너무 많이 쌓였네요, \\n올해는 ...  \n",
       "3  '2020년 공부 목표'\\n강의 수강을 통한 개인 역략 고도화 및 취업!!!\\n#관...  \n",
       "4  '2020년 공부 목표'\\n웹 프론트엔드 영역 자유롭게 구사하는 기술 보유하여 스스...  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 전처리 전에 원본을 보존하기 위해 복사해 둠\n",
    "df[\"origin_text\"] = df[\"text\"]\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 소문자 변환"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 파이썬은 대소문자를 구분하기 때문에 데이터 필터링을 위해 대문자를 모두 소문자로 변경\n",
    "df[\"text\"] = df[\"text\"].str.lower()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# 같은 의미의 단어를 하나로 통일 예) python => 파이썬\n",
    "df[\"text\"] = df[\"text\"].str.replace(\n",
    "    \"python\", \"파이썬\").str.replace(\n",
    "    \"pandas\", \"판다스\").str.replace(\n",
    "    \"javascript\", \"자바스크립트\").str.replace(\n",
    "    \"java\", \"자바\").str.replace(\n",
    "    \"react\", \"리액트\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 텍스트로 관심 강의 분리"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                                더 자바, 코드를 조작하는 다양한 방법\n",
       "1                         새해에는 새롭게. 웹 보안쪽으로 공부해보고싶습니다.\n",
       "2    몇년동안 바쁘게 달려오느라 습득하지 못한 기술들이 너무 많이 쌓였네요, \\n올해는 ...\n",
       "3                                    데이터 분석가 되기 with r\n",
       "4    '2020년 공부 목표'\\n웹 프론트엔드 영역 자유롭게 구사하는 기술 보유하여 스스...\n",
       "Name: course, dtype: object"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"course\"] = df[\"text\"].apply(lambda x: x.split(\"관심강의\")[-1])\n",
    "df[\"course\"] = df[\"course\"].apply(lambda x: x.split(\"관심 강의\")[-1])\n",
    "df[\"course\"] = df[\"course\"].apply(lambda x: x.split(\"관심 강좌\")[-1])\n",
    "df[\"course\"] = df[\"course\"].str.replace(\":\", \"\")\n",
    "df[\"course\"].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "      <th>course</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>cs를 전공하고 있는 학생입니다. 새해에는 자바와 관련된 지식을 보다 깊이있게 쌓아...</td>\n",
       "      <td>더 자바, 코드를 조작하는 다양한 방법</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>새해에는 새롭게. 웹 보안쪽으로 공부해보고싶습니다.</td>\n",
       "      <td>새해에는 새롭게. 웹 보안쪽으로 공부해보고싶습니다.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>몇년동안 바쁘게 달려오느라 습득하지 못한 기술들이 너무 많이 쌓였네요, \\n올해는 ...</td>\n",
       "      <td>몇년동안 바쁘게 달려오느라 습득하지 못한 기술들이 너무 많이 쌓였네요, \\n올해는 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>'2020년 공부 목표'\\n강의 수강을 통한 개인 역략 고도화 및 취업!!!\\n#관...</td>\n",
       "      <td>데이터 분석가 되기 with r</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>'2020년 공부 목표'\\n웹 프론트엔드 영역 자유롭게 구사하는 기술 보유하여 스스...</td>\n",
       "      <td>'2020년 공부 목표'\\n웹 프론트엔드 영역 자유롭게 구사하는 기술 보유하여 스스...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                text  \\\n",
       "0  cs를 전공하고 있는 학생입니다. 새해에는 자바와 관련된 지식을 보다 깊이있게 쌓아...   \n",
       "1                       새해에는 새롭게. 웹 보안쪽으로 공부해보고싶습니다.   \n",
       "2  몇년동안 바쁘게 달려오느라 습득하지 못한 기술들이 너무 많이 쌓였네요, \\n올해는 ...   \n",
       "3  '2020년 공부 목표'\\n강의 수강을 통한 개인 역략 고도화 및 취업!!!\\n#관...   \n",
       "4  '2020년 공부 목표'\\n웹 프론트엔드 영역 자유롭게 구사하는 기술 보유하여 스스...   \n",
       "\n",
       "                                              course  \n",
       "0                              더 자바, 코드를 조작하는 다양한 방법  \n",
       "1                       새해에는 새롭게. 웹 보안쪽으로 공부해보고싶습니다.  \n",
       "2  몇년동안 바쁘게 달려오느라 습득하지 못한 기술들이 너무 많이 쌓였네요, \\n올해는 ...  \n",
       "3                                  데이터 분석가 되기 with r  \n",
       "4  '2020년 공부 목표'\\n웹 프론트엔드 영역 자유롭게 구사하는 기술 보유하여 스스...  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[[\"text\", \"course\"]].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 띄어 쓰기를 제거한 텍스트에서 키워드 추출\n",
    "* TIOBE 프로그래밍 언어 순위 : [index | TIOBE - The Software Quality Company](https://www.tiobe.com/tiobe-index/?fbclid=IwAR34dJfgDHq2DK0C6X3g8IsUno2NhOiikMyxT6fw9SoyujFhy5FPvQogMoA)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "search_keyword = ['머신러닝', '딥러닝', '파이썬', '판다스', '공공데이터',\n",
    "                  'django', '크롤링', '시각화', '데이터분석', \n",
    "                  '웹개발', '엑셀', 'c', '자바', '자바스크립트', \n",
    "                  'node', 'vue', '리액트']\n",
    "\n",
    "for keyword in search_keyword:\n",
    "    df[keyword] = df[\"course\"].str.contains(keyword)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>text</th>\n",
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       "      <th>머신러닝</th>\n",
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       "      <th>판다스</th>\n",
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       "      <th>node</th>\n",
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       "      <th>리액트</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>cs를 전공하고 있는 학생입니다. 새해에는 자바와 관련된 지식을 보다 깊이있게 쌓아...</td>\n",
       "      <td>CS를 전공하고 있는 학생입니다. 새해에는 자바와 관련된 지식을 보다 깊이있게 쌓아...</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>몇년동안 바쁘게 달려오느라 습득하지 못한 기술들이 너무 많이 쌓였네요, \\n올해는 ...</td>\n",
       "      <td>몇년동안 바쁘게 달려오느라 습득하지 못한 기술들이 너무 많이 쌓였네요, \\n올해는 ...</td>\n",
       "      <td>몇년동안 바쁘게 달려오느라 습득하지 못한 기술들이 너무 많이 쌓였네요, \\n올해는 ...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>'2020년 공부 목표'\\n강의 수강을 통한 개인 역략 고도화 및 취업!!!\\n#관...</td>\n",
       "      <td>'2020년 공부 목표'\\n강의 수강을 통한 개인 역략 고도화 및 취업!!!\\n#관...</td>\n",
       "      <td>데이터 분석가 되기 with r</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>'2020년 공부 목표'\\n웹 프론트엔드 영역 자유롭게 구사하는 기술 보유하여 스스...</td>\n",
       "      <td>'2020년 공부 목표'\\n웹 프론트엔드 영역 자유롭게 구사하는 기술 보유하여 스스...</td>\n",
       "      <td>'2020년 공부 목표'\\n웹 프론트엔드 영역 자유롭게 구사하는 기술 보유하여 스스...</td>\n",
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      ],
      "text/plain": [
       "                                                text  \\\n",
       "0  cs를 전공하고 있는 학생입니다. 새해에는 자바와 관련된 지식을 보다 깊이있게 쌓아...   \n",
       "1                       새해에는 새롭게. 웹 보안쪽으로 공부해보고싶습니다.   \n",
       "2  몇년동안 바쁘게 달려오느라 습득하지 못한 기술들이 너무 많이 쌓였네요, \\n올해는 ...   \n",
       "3  '2020년 공부 목표'\\n강의 수강을 통한 개인 역략 고도화 및 취업!!!\\n#관...   \n",
       "4  '2020년 공부 목표'\\n웹 프론트엔드 영역 자유롭게 구사하는 기술 보유하여 스스...   \n",
       "\n",
       "                                         origin_text  \\\n",
       "0  CS를 전공하고 있는 학생입니다. 새해에는 자바와 관련된 지식을 보다 깊이있게 쌓아...   \n",
       "1                       새해에는 새롭게. 웹 보안쪽으로 공부해보고싶습니다.   \n",
       "2  몇년동안 바쁘게 달려오느라 습득하지 못한 기술들이 너무 많이 쌓였네요, \\n올해는 ...   \n",
       "3  '2020년 공부 목표'\\n강의 수강을 통한 개인 역략 고도화 및 취업!!!\\n#관...   \n",
       "4  '2020년 공부 목표'\\n웹 프론트엔드 영역 자유롭게 구사하는 기술 보유하여 스스...   \n",
       "\n",
       "                                              course   머신러닝    딥러닝    파이썬  \\\n",
       "0                              더 자바, 코드를 조작하는 다양한 방법  False  False  False   \n",
       "1                       새해에는 새롭게. 웹 보안쪽으로 공부해보고싶습니다.  False  False  False   \n",
       "2  몇년동안 바쁘게 달려오느라 습득하지 못한 기술들이 너무 많이 쌓였네요, \\n올해는 ...  False  False  False   \n",
       "3                                  데이터 분석가 되기 with r  False  False  False   \n",
       "4  '2020년 공부 목표'\\n웹 프론트엔드 영역 자유롭게 구사하는 기술 보유하여 스스...  False  False  False   \n",
       "\n",
       "     판다스  공공데이터  django    크롤링    시각화  데이터분석    웹개발     엑셀      c     자바  \\\n",
       "0  False  False   False  False  False  False  False  False  False   True   \n",
       "1  False  False   False  False  False  False  False  False  False  False   \n",
       "2  False  False   False  False  False  False  False  False  False  False   \n",
       "3  False  False   False  False  False  False  False  False  False  False   \n",
       "4  False  False   False  False  False  False  False  False  False  False   \n",
       "\n",
       "   자바스크립트   node    vue    리액트  \n",
       "0   False  False  False  False  \n",
       "1   False  False  False  False  \n",
       "2   False  False  False  False  \n",
       "3   False  False  False  False  \n",
       "4   False   True   True   True  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(331, 20)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_python = df[df[\"text\"].str.contains(\"파이썬|공공데이터|판다스\")].copy()\n",
    "df_python.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "True + True + False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "파이썬       311\n",
       "c         306\n",
       "자바        263\n",
       "머신러닝      110\n",
       "자바스크립트    110\n",
       "리액트       104\n",
       "vue        98\n",
       "node       94\n",
       "딥러닝        44\n",
       "크롤링        37\n",
       "django     28\n",
       "시각화        23\n",
       "웹개발        22\n",
       "데이터분석      22\n",
       "엑셀         17\n",
       "공공데이터       6\n",
       "판다스         5\n",
       "dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[search_keyword].sum().sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--------------------\n",
      "텍스트 마이닝만 수강한 뒤 현재 맡은 마케팅 업무 능률이 엄청나게 올라가는 것을 확인했으며 승진과 고가에 엄청나게 득을 보았습니다 감사합니다! 앞으로도 인프런 애용하겠습니다.\n",
      "추가적으로 해 박조은 강사님의 [공공데이터로 파이썬 데이터 분석 시작하기] 강의를 듣고 상권분석과 공공데이터 활용 역량을 올릴 예정입니다. 화이팅!!!\n",
      "#관심강의 : 공공데이터로 파이썬 데이터 분석 시작하기\n",
      "--------------------\n",
      "데이터분석 2년차가 되는데 작년에 파이썬 강의를 담아놓고 그대로 1년간 방치... 올해는 꼭 완강하고 실습해서 개발자에게 의존하지 않고 혼자 크롤링&분석 해내고 싶어요! \n",
      "#관심강의: 공공데이터로 파이썬 데이터분석 시작하기, database 1&2 - mysql\n",
      "--------------------\n",
      "2020년에는 데이터 분석쪽으로 이직하고 싶어요! 인프런 강의 듣고 이직에 성공하고 싶습니다!!\n",
      "#관심강의: 공공데이터로 파이썬 데이터 분석 시작하기\n",
      "--------------------\n",
      "경영학과 졸업생입니다. 새해엔 엑셀! 파이썬! 취직! 해내겠습니다. 좋은 강의, 커리큘럼이 있는 인프런 너무 감사합니다 ~^^\n",
      "#관심강의: 공공데이터로 분석하기\n",
      "--------------------\n",
      "인프런으로 파이썬 기초문법부터 입문했어요! 실무 데이터분석에 활용할 수 있는 수준으로 실력을 올리고 싶습니다:)\n",
      "#관심강의: 공공데이터로 파이썬 데이터 분석 시작하기\n",
      "--------------------\n",
      "나만의 프로젝트 하나 완성할 수 있을 정도의 지식 쌓기!\n",
      "#관심강의:공공데이터로 파이썬 데이터 분석 시작하기\n"
     ]
    }
   ],
   "source": [
    "text = df.loc[(df[\"공공데이터\"] == True), \"text\"]\n",
    "for t in text:\n",
    "    print(\"-\"*20)\n",
    "    print(t)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 판다스 단어가 들어가는 텍스트만 찾기\n",
    "* 이미 str.contains 를 통해 판다스가 들어가는 텍스트에 대해 컬럼을 만들어 놨습니다. 이 값이  True 라면 판다스 강좌 입니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "147     취미로 안드로이드 개발하는 사람입니다. 자바로 작성하다 보니, kotlin이 안드로...\n",
       "215          판다스 라입러리에 관심이 많아서 배워보려 합니다 #관심강의 : 박조은 - 판다스\n",
       "694       2020년!! 올 해는 빅데이터 분석 전문가 되기!!\\n#관심강의 : 파이썬, 판다스\n",
       "1613    2020년 목표  파이썬 을  활용해  데이터 분석 작업을 진행하고 싶습니다.  관...\n",
       "1823    저는 백세시대에 조금 더 오랫동안 it일을 하기위해서 it전략기획에서 데이터분석가로...\n",
       "Name: text, dtype: object"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[df[\"판다스\"] == True, \"text\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 빈도수 계산을 위한 텍스트 데이터 벡터화\n",
    "* BOW 단어 가방에 단어를 토큰화 해서 담아줌"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['파이썬', '데이터', '분석']"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 토큰화\n",
    "\"파이썬 데이터 분석\".split()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CountVectorizer(analyzer='word', binary=False, decode_error='strict',\n",
       "                dtype=<class 'numpy.int64'>, encoding='utf-8', input='content',\n",
       "                lowercase=True, max_df=1.0, max_features=2000, min_df=2,\n",
       "                ngram_range=(3, 6), preprocessor=None, stop_words=None,\n",
       "                strip_accents=None, token_pattern='(?u)\\\\b\\\\w\\\\w+\\\\b',\n",
       "                tokenizer=None, vocabulary=None)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.feature_extraction.text import CountVectorizer\n",
    "\n",
    "vectorizer = CountVectorizer(analyzer = 'word', # 캐릭터 단위로 벡터화 할 수도 있습니다.\n",
    "                             tokenizer = None, # 토크나이저를 따로 지정해 줄 수도 있습니다.\n",
    "                             preprocessor = None, # 전처리 도구\n",
    "                             stop_words = None, # 불용어 nltk등의 도구를 사용할 수도 있습니다.\n",
    "                             min_df = 2, # 토큰이 나타날 최소 문서 개수로 오타나 자주 나오지 않는 특수한 전문용어 제거에 좋습니다. \n",
    "                             ngram_range=(3, 6), # BOW의 단위 갯수의 범위를 지정합니다.\n",
    "                             max_features = 2000 # 만들 피처의 수, 단어의 수\n",
    "                            )\n",
    "vectorizer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1875, 1935)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "feature_vector = vectorizer.fit_transform(df['course'])\n",
    "feature_vector.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1935\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['12개 만들면서 배우는',\n",
       " '12개 만들면서 배우는 ios',\n",
       " '12개 만들면서 배우는 ios 아이폰',\n",
       " '12개 만들면서 배우는 ios 아이폰 개발',\n",
       " '12개를 만들며 배우는',\n",
       " '12개를 만들며 배우는 swift4',\n",
       " '12개를 만들며 배우는 swift4 ios11',\n",
       " '12개를 만들며 배우는 swift4 ios11 아이폰',\n",
       " '2018 do it',\n",
       " '2018 do it 안드로이드']"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vocab = vectorizer.get_feature_names()\n",
    "print(len(vocab))\n",
    "vocab[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>2018 do it</th>\n",
       "      <th>2018 do it 안드로이드</th>\n",
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       "      <th>활용2 api 개발과 성능</th>\n",
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       "   12개 만들면서 배우는  12개 만들면서 배우는 ios  12개 만들면서 배우는 ios 아이폰  \\\n",
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       "\n",
       "   12개 만들면서 배우는 ios 아이폰 개발  12개를 만들며 배우는  12개를 만들며 배우는 swift4  \\\n",
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       "   12개를 만들며 배우는 swift4 ios11  12개를 만들며 배우는 swift4 ios11 아이폰  2018 do it  \\\n",
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       "   2018 do it 안드로이드  ...  활용2 api 개발과 성능  활용2 api 개발과 성능 최적화  활용한 다양한 자동화  \\\n",
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       "\n",
       "   활용한 다양한 자동화 어플리케이션  활용한 다양한 자동화 어플리케이션 제작하기  활용한 데이터분석과 it보안  \\\n",
       "0                   0                        0                0   \n",
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       "\n",
       "   활용한 리액트 native  활용한 리액트 native 개발  활용한 메신져 만들기  활용한 메신져 만들기 android  \n",
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       "\n",
       "[5 rows x 1935 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 각 리뷰마다 등장하는 단어에 빈도수가 표현됩니다. 0 은 등장하지 않음을 의미합니다.\n",
    "pd.DataFrame(feature_vector[:10].toarray(), columns=vocab).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>12개 만들면서 배우는</th>\n",
       "      <th>12개 만들면서 배우는 ios</th>\n",
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       "      <th>활용한 다양한 자동화</th>\n",
       "      <th>활용한 다양한 자동화 어플리케이션</th>\n",
       "      <th>활용한 다양한 자동화 어플리케이션 제작하기</th>\n",
       "      <th>활용한 데이터분석과 it보안</th>\n",
       "      <th>활용한 리액트 native</th>\n",
       "      <th>활용한 리액트 native 개발</th>\n",
       "      <th>활용한 메신져 만들기</th>\n",
       "      <th>활용한 메신져 만들기 android</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 1935 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   12개 만들면서 배우는  12개 만들면서 배우는 ios  12개 만들면서 배우는 ios 아이폰  \\\n",
       "0             2                 2                     2   \n",
       "\n",
       "   12개 만들면서 배우는 ios 아이폰 개발  12개를 만들며 배우는  12개를 만들며 배우는 swift4  \\\n",
       "0                        2             2                    2   \n",
       "\n",
       "   12개를 만들며 배우는 swift4 ios11  12개를 만들며 배우는 swift4 ios11 아이폰  2018 do it  \\\n",
       "0                          2                              2           2   \n",
       "\n",
       "   2018 do it 안드로이드  ...  활용2 api 개발과 성능  활용2 api 개발과 성능 최적화  활용한 다양한 자동화  \\\n",
       "0                 2  ...               9                   9            7   \n",
       "\n",
       "   활용한 다양한 자동화 어플리케이션  활용한 다양한 자동화 어플리케이션 제작하기  활용한 데이터분석과 it보안  \\\n",
       "0                   7                        6                2   \n",
       "\n",
       "   활용한 리액트 native  활용한 리액트 native 개발  활용한 메신져 만들기  활용한 메신져 만들기 android  \n",
       "0               7                  7            2                    2  \n",
       "\n",
       "[1 rows x 1935 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 위에서 구한 단어벡터를 더하면 단어가 전체에서 등장하는 횟수를 알 수 있습니다.\n",
    "# 벡터화 된 피처를 확인해 봄\n",
    "# Bag of words 에 몇 개의 단어가 들어있는지 확인\n",
    "dist = np.sum(feature_vector, axis=0)\n",
    "    \n",
    "df_freq = pd.DataFrame(dist, columns=vocab)\n",
    "df_freq"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>홍정모의 따라하며 배우는</th>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>스프링 데이터 jpa</th>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>머신러닝 완벽 가이드</th>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>파이썬 머신러닝 완벽</th>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>파이썬 머신러닝 완벽 가이드</th>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020년 공부 목표</th>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nodebird sns 만들기</th>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>관심있는 인프런 강의명</th>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>리액트로 nodebird sns</th>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>리액트로 nodebird sns 만들기</th>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>함수형 프로그래밍과 자바스크립트</th>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>함수형 프로그래밍과 자바스크립트 es6</th>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>프로그래밍과 자바스크립트 es6</th>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>스프링 부트와 jpa</th>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>실전 스프링 부트와</th>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>실전 스프링 부트와 jpa</th>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>부트 개념과 활용</th>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>it 취업을 위한</th>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>스프링 부트 개념과</th>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>위한 알고리즘 입문</th>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>알고리즘 입문 with 창의적 문제해결</th>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>알고리즘 입문 with 창의적</th>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>위한 알고리즘 입문 with</th>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>스프링 부트 개념과 활용</th>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>입문 with 창의적 문제해결</th>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>입문 with 창의적</th>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>취업을 위한 알고리즘</th>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>위한 알고리즘 입문 with 창의적 문제해결</th>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>알고리즘 입문 with</th>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>위한 알고리즘 입문 with 창의적</th>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           0\n",
       "홍정모의 따라하며 배우는             71\n",
       "스프링 데이터 jpa               46\n",
       "머신러닝 완벽 가이드               45\n",
       "파이썬 머신러닝 완벽               45\n",
       "파이썬 머신러닝 완벽 가이드           44\n",
       "2020년 공부 목표               43\n",
       "nodebird sns 만들기          43\n",
       "관심있는 인프런 강의명              38\n",
       "리액트로 nodebird sns         36\n",
       "리액트로 nodebird sns 만들기     36\n",
       "함수형 프로그래밍과 자바스크립트         35\n",
       "함수형 프로그래밍과 자바스크립트 es6     35\n",
       "프로그래밍과 자바스크립트 es6         35\n",
       "스프링 부트와 jpa               29\n",
       "실전 스프링 부트와                28\n",
       "실전 스프링 부트와 jpa            28\n",
       "부트 개념과 활용                 27\n",
       "it 취업을 위한                 26\n",
       "스프링 부트 개념과                26\n",
       "위한 알고리즘 입문                25\n",
       "알고리즘 입문 with 창의적 문제해결     25\n",
       "알고리즘 입문 with 창의적          25\n",
       "위한 알고리즘 입문 with           25\n",
       "스프링 부트 개념과 활용             25\n",
       "입문 with 창의적 문제해결          25\n",
       "입문 with 창의적               25\n",
       "취업을 위한 알고리즘               25\n",
       "위한 알고리즘 입문 with 창의적 문제해결  25\n",
       "알고리즘 입문 with              25\n",
       "위한 알고리즘 입문 with 창의적       25"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 행과 열의 축을 T로 바꿔주고 빈도수로 정렬\n",
    "df_freq.T.sort_values(by=0, ascending=False).head(30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>course</th>\n",
       "      <th>freq</th>\n",
       "      <th>course_find</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1934</th>\n",
       "      <td>활용한 메신져 만들기 android</td>\n",
       "      <td>2</td>\n",
       "      <td>활용한 메신져 만들기 android</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1933</th>\n",
       "      <td>활용한 메신져 만들기</td>\n",
       "      <td>2</td>\n",
       "      <td>활용한 메신져 만들기</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1932</th>\n",
       "      <td>활용한 리액트 native 개발</td>\n",
       "      <td>7</td>\n",
       "      <td>활용한 리액트 native 개발</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1931</th>\n",
       "      <td>활용한 리액트 native</td>\n",
       "      <td>7</td>\n",
       "      <td>활용한 리액트 native</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1930</th>\n",
       "      <td>활용한 데이터분석과 it보안</td>\n",
       "      <td>2</td>\n",
       "      <td>활용한 데이터분석과 it보안</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1928</th>\n",
       "      <td>활용한 다양한 자동화 어플리케이션</td>\n",
       "      <td>7</td>\n",
       "      <td>활용한 다양한 자동화 어플리케이션</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1929</th>\n",
       "      <td>활용한 다양한 자동화 어플리케이션 제작하기</td>\n",
       "      <td>6</td>\n",
       "      <td>활용한 다양한 자동화 어플리케이션</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1927</th>\n",
       "      <td>활용한 다양한 자동화</td>\n",
       "      <td>7</td>\n",
       "      <td>활용한 다양한 자동화</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1925</th>\n",
       "      <td>활용2 api 개발과 성능</td>\n",
       "      <td>9</td>\n",
       "      <td>활용2 api 개발과 성능</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1926</th>\n",
       "      <td>활용2 api 개발과 성능 최적화</td>\n",
       "      <td>9</td>\n",
       "      <td>활용2 api 개발과 성능</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       course  freq          course_find\n",
       "1934      활용한 메신져 만들기 android     2  활용한 메신져 만들기 android\n",
       "1933              활용한 메신져 만들기     2          활용한 메신져 만들기\n",
       "1932        활용한 리액트 native 개발     7    활용한 리액트 native 개발\n",
       "1931           활용한 리액트 native     7       활용한 리액트 native\n",
       "1930          활용한 데이터분석과 it보안     2      활용한 데이터분석과 it보안\n",
       "1928       활용한 다양한 자동화 어플리케이션     7   활용한 다양한 자동화 어플리케이션\n",
       "1929  활용한 다양한 자동화 어플리케이션 제작하기     6   활용한 다양한 자동화 어플리케이션\n",
       "1927              활용한 다양한 자동화     7          활용한 다양한 자동화\n",
       "1925           활용2 api 개발과 성능     9       활용2 api 개발과 성능\n",
       "1926       활용2 api 개발과 성능 최적화     9       활용2 api 개발과 성능"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_freq_T = df_freq.T.reset_index()\n",
    "df_freq_T.columns = [\"course\", \"freq\"]\n",
    "# 강의명을 토큰 3개로 중복제거하기 위해, 강좌명에서 지식공유자의 이름을 빈문자열로 변경\n",
    "df_freq_T[\"course_find\"] = df_freq_T[\"course\"].str.replace(\"홍정모의\", \"\")\n",
    "df_freq_T[\"course_find\"] = df_freq_T[\"course_find\"].apply(lambda x : \" \". join(x.split()[:4]))\n",
    "df_freq_T.sort_values([\"course_find\", \"freq\"], ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1935, 3)\n",
      "(1377, 3)\n"
     ]
    }
   ],
   "source": [
    "# 3개의 ngram과 빈도수로 역순 정렬을 하게 되면 빈도수가 높고, ngram수가 많은 순으로 정렬이 됨 \n",
    "# 여기에서 첫 번째 강좌를 남기고 나머지 중복을 삭제\n",
    "print(df_freq_T.shape)\n",
    "df_course = df_freq_T.drop_duplicates([\"course_find\", \"freq\"], keep=\"first\")\n",
    "print(df_course.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>course</th>\n",
       "      <th>freq</th>\n",
       "      <th>course_find</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1906</th>\n",
       "      <td>홍정모의 따라하며 배우는</td>\n",
       "      <td>71</td>\n",
       "      <td>따라하며 배우는</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1117</th>\n",
       "      <td>스프링 데이터 jpa</td>\n",
       "      <td>46</td>\n",
       "      <td>스프링 데이터 jpa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1716</th>\n",
       "      <td>파이썬 머신러닝 완벽</td>\n",
       "      <td>45</td>\n",
       "      <td>파이썬 머신러닝 완벽</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>899</th>\n",
       "      <td>머신러닝 완벽 가이드</td>\n",
       "      <td>45</td>\n",
       "      <td>머신러닝 완벽 가이드</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1717</th>\n",
       "      <td>파이썬 머신러닝 완벽 가이드</td>\n",
       "      <td>44</td>\n",
       "      <td>파이썬 머신러닝 완벽 가이드</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2020년 공부 목표</td>\n",
       "      <td>43</td>\n",
       "      <td>2020년 공부 목표</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>nodebird sns 만들기</td>\n",
       "      <td>43</td>\n",
       "      <td>nodebird sns 만들기</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>602</th>\n",
       "      <td>관심있는 인프런 강의명</td>\n",
       "      <td>38</td>\n",
       "      <td>관심있는 인프런 강의명</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>855</th>\n",
       "      <td>리액트로 nodebird sns 만들기</td>\n",
       "      <td>36</td>\n",
       "      <td>리액트로 nodebird sns 만들기</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>854</th>\n",
       "      <td>리액트로 nodebird sns</td>\n",
       "      <td>36</td>\n",
       "      <td>리액트로 nodebird sns</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1816</th>\n",
       "      <td>프로그래밍과 자바스크립트 es6</td>\n",
       "      <td>35</td>\n",
       "      <td>프로그래밍과 자바스크립트 es6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1860</th>\n",
       "      <td>함수형 프로그래밍과 자바스크립트 es6</td>\n",
       "      <td>35</td>\n",
       "      <td>함수형 프로그래밍과 자바스크립트 es6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1859</th>\n",
       "      <td>함수형 프로그래밍과 자바스크립트</td>\n",
       "      <td>35</td>\n",
       "      <td>함수형 프로그래밍과 자바스크립트</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1126</th>\n",
       "      <td>스프링 부트와 jpa</td>\n",
       "      <td>29</td>\n",
       "      <td>스프링 부트와 jpa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1189</th>\n",
       "      <td>실전 스프링 부트와 jpa</td>\n",
       "      <td>28</td>\n",
       "      <td>실전 스프링 부트와 jpa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1188</th>\n",
       "      <td>실전 스프링 부트와</td>\n",
       "      <td>28</td>\n",
       "      <td>실전 스프링 부트와</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1025</th>\n",
       "      <td>부트 개념과 활용</td>\n",
       "      <td>27</td>\n",
       "      <td>부트 개념과 활용</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>it 취업을 위한</td>\n",
       "      <td>26</td>\n",
       "      <td>it 취업을 위한</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1123</th>\n",
       "      <td>스프링 부트 개념과</td>\n",
       "      <td>26</td>\n",
       "      <td>스프링 부트 개념과</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>417</th>\n",
       "      <td>with 창의적 문제해결</td>\n",
       "      <td>25</td>\n",
       "      <td>with 창의적 문제해결</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     course  freq            course_find\n",
       "1906          홍정모의 따라하며 배우는    71               따라하며 배우는\n",
       "1117            스프링 데이터 jpa    46            스프링 데이터 jpa\n",
       "1716            파이썬 머신러닝 완벽    45            파이썬 머신러닝 완벽\n",
       "899             머신러닝 완벽 가이드    45            머신러닝 완벽 가이드\n",
       "1717        파이썬 머신러닝 완벽 가이드    44        파이썬 머신러닝 완벽 가이드\n",
       "11              2020년 공부 목표    43            2020년 공부 목표\n",
       "270        nodebird sns 만들기    43       nodebird sns 만들기\n",
       "602            관심있는 인프런 강의명    38           관심있는 인프런 강의명\n",
       "855   리액트로 nodebird sns 만들기    36  리액트로 nodebird sns 만들기\n",
       "854       리액트로 nodebird sns    36      리액트로 nodebird sns\n",
       "1816      프로그래밍과 자바스크립트 es6    35      프로그래밍과 자바스크립트 es6\n",
       "1860  함수형 프로그래밍과 자바스크립트 es6    35  함수형 프로그래밍과 자바스크립트 es6\n",
       "1859      함수형 프로그래밍과 자바스크립트    35      함수형 프로그래밍과 자바스크립트\n",
       "1126            스프링 부트와 jpa    29            스프링 부트와 jpa\n",
       "1189         실전 스프링 부트와 jpa    28         실전 스프링 부트와 jpa\n",
       "1188             실전 스프링 부트와    28             실전 스프링 부트와\n",
       "1025              부트 개념과 활용    27              부트 개념과 활용\n",
       "175               it 취업을 위한    26              it 취업을 위한\n",
       "1123             스프링 부트 개념과    26             스프링 부트 개념과\n",
       "417           with 창의적 문제해결    25          with 창의적 문제해결"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_course = df_course.sort_values(by=\"freq\", ascending=False)\n",
    "df_course.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_course.to_csv(\"event-course-name-freq.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## TF-IDF 로 가중치를 주어 벡터화\n",
    "### TfidfTransformer()\n",
    "* norm='l2' 각 문서의 피처 벡터를 어떻게 벡터 정규화 할지 정합니다.\n",
    "    - L2 : 벡터의 각 원소의 제곱의 합이 1이 되도록 만드는 것이고 기본 값(유클리디안거리)\n",
    "    - L1 : 벡터의 각 원소의 절댓값의 합이 1이 되도록 크기를 조절(맨하탄거리)\n",
    "* smooth_idf=False\n",
    "    - 피처를 만들 때 0으로 나오는 항목에 대해 작은 값을 더해서(스무딩을 해서) 피처를 만들지 아니면 그냥 생성할지를 결정\n",
    "* sublinear_tf=False\n",
    "* use_idf=True\n",
    "    - TF-IDF를 사용해 피처를 만들 것인지 아니면 단어 빈도 자체를 사용할 것인지 여부"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "TfidfTransformer(norm='l2', smooth_idf=False, sublinear_tf=False, use_idf=True)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.feature_extraction.text import TfidfTransformer\n",
    "transformer = TfidfTransformer(smooth_idf=False)\n",
    "transformer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 2.78 ms, sys: 1.6 ms, total: 4.38 ms\n",
      "Wall time: 4.26 ms\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(1875, 1935)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time \n",
    "feature_tfidf = transformer.fit_transform(feature_vector)\n",
    "feature_tfidf.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<1875x1935 sparse matrix of type '<class 'numpy.float64'>'\n",
       "\twith 9033 stored elements in Compressed Sparse Row format>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "feature_tfidf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>12개 만들면서 배우는</th>\n",
       "      <th>12개 만들면서 배우는 ios</th>\n",
       "      <th>12개 만들면서 배우는 ios 아이폰</th>\n",
       "      <th>12개 만들면서 배우는 ios 아이폰 개발</th>\n",
       "      <th>12개를 만들며 배우는</th>\n",
       "      <th>12개를 만들며 배우는 swift4</th>\n",
       "      <th>12개를 만들며 배우는 swift4 ios11</th>\n",
       "      <th>12개를 만들며 배우는 swift4 ios11 아이폰</th>\n",
       "      <th>2018 do it</th>\n",
       "      <th>2018 do it 안드로이드</th>\n",
       "      <th>...</th>\n",
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       "      <th>활용2 api 개발과 성능 최적화</th>\n",
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       "      <th>활용한 다양한 자동화 어플리케이션</th>\n",
       "      <th>활용한 다양한 자동화 어플리케이션 제작하기</th>\n",
       "      <th>활용한 데이터분석과 it보안</th>\n",
       "      <th>활용한 리액트 native</th>\n",
       "      <th>활용한 리액트 native 개발</th>\n",
       "      <th>활용한 메신져 만들기</th>\n",
       "      <th>활용한 메신져 만들기 android</th>\n",
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       "<p>5 rows × 1935 columns</p>\n",
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      ],
      "text/plain": [
       "   12개 만들면서 배우는  12개 만들면서 배우는 ios  12개 만들면서 배우는 ios 아이폰  \\\n",
       "0           0.0               0.0                   0.0   \n",
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       "4           0.0               0.0                   0.0   \n",
       "\n",
       "   12개 만들면서 배우는 ios 아이폰 개발  12개를 만들며 배우는  12개를 만들며 배우는 swift4  \\\n",
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       "4                      0.0           0.0                  0.0   \n",
       "\n",
       "   12개를 만들며 배우는 swift4 ios11  12개를 만들며 배우는 swift4 ios11 아이폰  2018 do it  \\\n",
       "0                        0.0                            0.0         0.0   \n",
       "1                        0.0                            0.0         0.0   \n",
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       "3                        0.0                            0.0         0.0   \n",
       "4                        0.0                            0.0         0.0   \n",
       "\n",
       "   2018 do it 안드로이드  ...  활용2 api 개발과 성능  활용2 api 개발과 성능 최적화  활용한 다양한 자동화  \\\n",
       "0               0.0  ...             0.0                 0.0          0.0   \n",
       "1               0.0  ...             0.0                 0.0          0.0   \n",
       "2               0.0  ...             0.0                 0.0          0.0   \n",
       "3               0.0  ...             0.0                 0.0          0.0   \n",
       "4               0.0  ...             0.0                 0.0          0.0   \n",
       "\n",
       "   활용한 다양한 자동화 어플리케이션  활용한 다양한 자동화 어플리케이션 제작하기  활용한 데이터분석과 it보안  \\\n",
       "0                 0.0                      0.0              0.0   \n",
       "1                 0.0                      0.0              0.0   \n",
       "2                 0.0                      0.0              0.0   \n",
       "3                 0.0                      0.0              0.0   \n",
       "4                 0.0                      0.0              0.0   \n",
       "\n",
       "   활용한 리액트 native  활용한 리액트 native 개발  활용한 메신져 만들기  활용한 메신져 만들기 android  \n",
       "0        0.000000           0.000000          0.0                  0.0  \n",
       "1        0.000000           0.000000          0.0                  0.0  \n",
       "2        0.000000           0.000000          0.0                  0.0  \n",
       "3        0.000000           0.000000          0.0                  0.0  \n",
       "4        0.068543           0.068543          0.0                  0.0  \n",
       "\n",
       "[5 rows x 1935 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 각 row에서 전체 단어가방에 있는 어휘에서 등장하는 단어에 대한 one-hot-vector에 TF-IDF 가중치 반영\n",
    "tfidf_freq = pd.DataFrame(feature_tfidf.toarray(), columns=vocab)\n",
    "tfidf_freq.head() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>홍정모의 따라하며 배우는</th>\n",
       "      <td>44.977203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>스프링 데이터 jpa</th>\n",
       "      <td>28.147312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>파이썬 머신러닝 완벽</th>\n",
       "      <td>21.749248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>머신러닝 완벽 가이드</th>\n",
       "      <td>21.480701</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>파이썬 머신러닝 완벽 가이드</th>\n",
       "      <td>20.847837</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nodebird sns 만들기</th>\n",
       "      <td>18.766707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>리액트로 nodebird sns 만들기</th>\n",
       "      <td>17.263140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>리액트로 nodebird sns</th>\n",
       "      <td>17.263140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>함수형 프로그래밍과 자바스크립트 es6</th>\n",
       "      <td>13.500704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>프로그래밍과 자바스크립트 es6</th>\n",
       "      <td>13.500704</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               0\n",
       "홍정모의 따라하며 배우는          44.977203\n",
       "스프링 데이터 jpa            28.147312\n",
       "파이썬 머신러닝 완벽            21.749248\n",
       "머신러닝 완벽 가이드            21.480701\n",
       "파이썬 머신러닝 완벽 가이드        20.847837\n",
       "nodebird sns 만들기       18.766707\n",
       "리액트로 nodebird sns 만들기  17.263140\n",
       "리액트로 nodebird sns      17.263140\n",
       "함수형 프로그래밍과 자바스크립트 es6  13.500704\n",
       "프로그래밍과 자바스크립트 es6      13.500704"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_tfidf = pd.DataFrame(tfidf_freq.sum())\n",
    "df_tfidf_top = df_tfidf.sort_values(by=0, ascending=False)\n",
    "df_tfidf_top.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "홍정모의 따라하며 배우는\n",
      "스프링 데이터 jpa\n",
      "파이썬 머신러닝 완벽\n",
      "머신러닝 완벽 가이드\n",
      "파이썬 머신러닝 완벽 가이드\n",
      "nodebird sns 만들기\n",
      "리액트로 nodebird sns 만들기\n",
      "리액트로 nodebird sns\n",
      "함수형 프로그래밍과 자바스크립트 es6\n",
      "프로그래밍과 자바스크립트 es6\n",
      "함수형 프로그래밍과 자바스크립트\n",
      "2020년 공부 목표\n",
      "실전 스프링 데이터\n",
      "부트 개념과 활용\n",
      "관심있는 인프런 강의명\n",
      "실전 스프링 데이터 jpa\n",
      "스프링 부트 개념과\n",
      "스프링 부트 개념과 활용\n",
      "파이썬 머신러닝 완벽가이드\n",
      "대세는 쿠버네티스 기초편\n",
      "실전 100 활용\n",
      "남박사의 파이썬 실전\n",
      "남박사의 파이썬 실전 100 활용\n",
      "파이썬 실전 100\n",
      "파이썬 실전 100 활용\n",
      "남박사의 파이썬 실전 100\n",
      "rest api 개발\n",
      "vue js 완벽\n",
      "vue js 완벽 가이드\n",
      "js 완벽 가이드\n"
     ]
    }
   ],
   "source": [
    "# 중간에 생략되는 단어를 자세히 보고자 할 때\n",
    "for t in df_tfidf_top.index[:30]:\n",
    "    print(t)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 군집화 \n",
    "* [Comparison of the K-Means and MiniBatchKMeans clustering algorithms — scikit-learn 0.22.1 documentation](https://scikit-learn.org/stable/auto_examples/cluster/plot_mini_batch_kmeans.html)\n",
    "* cluster - MiniBatchKMeans"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 40/40 [01:03<00:00,  3.17s/it]\n"
     ]
    }
   ],
   "source": [
    "from sklearn.cluster import KMeans\n",
    "from tqdm import trange\n",
    "inertia = []\n",
    "\n",
    "start = 30\n",
    "end = 70\n",
    "\n",
    "# 적절한 클러스터의 갯수를 알기 위해 inertia 값을 구함\n",
    "for i in trange(start, end):\n",
    "    cls = KMeans(n_clusters=i, random_state=42)\n",
    "    cls.fit(feature_tfidf)\n",
    "    inertia.append(cls.inertia_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'KMeans 클러스터 수 비교')"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 263,
       "width": 376
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(range(start, end), inertia)\n",
    "plt.title(\"KMeans 클러스터 수 비교\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "n_clusters = 50\n",
    "cls = KMeans(n_clusters=n_clusters, random_state=42)\n",
    "cls.fit(feature_tfidf)\n",
    "prediction = cls.predict(feature_tfidf)\n",
    "df[\"cluster\"] = prediction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     1302\n",
       "5       39\n",
       "4       36\n",
       "2       30\n",
       "7       26\n",
       "1       24\n",
       "26      23\n",
       "9       22\n",
       "11      20\n",
       "22      18\n",
       "Name: cluster, dtype: int64"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"cluster\"].value_counts().head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 40/40 [00:17<00:00,  1.18s/it]\n"
     ]
    }
   ],
   "source": [
    "# batch_size 를 쓸 수 있는 MiniBatchKMeans 로 군집화\n",
    "from sklearn.cluster import MiniBatchKMeans\n",
    "b_inertia = []\n",
    "\n",
    "# 적절한 클러스터의 갯수를 알기 위해 inertia 값을 구함\n",
    "for i in trange(start, end):\n",
    "    cls = MiniBatchKMeans(n_clusters=i, random_state=42)\n",
    "    cls.fit(feature_tfidf)\n",
    "    b_inertia.append(cls.inertia_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'MiniBatchKMeans 클러스터 수 비교')"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 263,
       "width": 376
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(range(start, end), b_inertia)\n",
    "plt.title(\"MiniBatchKMeans 클러스터 수 비교\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "cls = MiniBatchKMeans(n_clusters=n_clusters, random_state=42)\n",
    "cls.fit(feature_tfidf)\n",
    "prediction = cls.predict(feature_tfidf)\n",
    "df[\"bcluster\"] = prediction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "20    932\n",
       "3     360\n",
       "2      60\n",
       "13     39\n",
       "1      36\n",
       "17     33\n",
       "12     33\n",
       "14     30\n",
       "28     30\n",
       "4      26\n",
       "Name: bcluster, dtype: int64"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"bcluster\"].value_counts().head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Series([], Name: course, dtype: int64)"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[df[\"bcluster\"] == 21, \"course\"].value_counts().head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bcluster</th>\n",
       "      <th>cluster</th>\n",
       "      <th>course</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [bcluster, cluster, course]\n",
       "Index: []"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[df[\"bcluster\"] == 21, [\"bcluster\", \"cluster\", \"course\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bcluster</th>\n",
       "      <th>cluster</th>\n",
       "      <th>origin_text</th>\n",
       "      <th>course</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>24</td>\n",
       "      <td>27</td>\n",
       "      <td>데이터 분석을 끝내고 싶다.\\n#관심과목: SQL/DB(MySQL) 기본부터 파이썬...</td>\n",
       "      <td>데이터 분석을 끝내고 싶다.\\n#관심과목 sql/db(mysql) 기본부터 파이썬/...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394</th>\n",
       "      <td>24</td>\n",
       "      <td>27</td>\n",
       "      <td>사람들이 무슨 생각을 하는지 알고 싶네요.\\n관심강의는 SQL/DB(MySQL) 기...</td>\n",
       "      <td>는 sql/db(mysql) 기본부터 파이썬/데이터분석 활용까지 입니다.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>474</th>\n",
       "      <td>24</td>\n",
       "      <td>27</td>\n",
       "      <td>데이터분석가로 취직하기 위해서 SQL 시작하고 파이썬 마스터하고 싶습니다!\\n관심강...</td>\n",
       "      <td>sql/db(mysql) 기본부터 파이썬/데이터분석 활용까지!,\\n남박사의 파이썬...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>547</th>\n",
       "      <td>24</td>\n",
       "      <td>27</td>\n",
       "      <td>SQL/DB(MySQL) 기본부터 파이썬/데이터분석 활용까지!\\n\\n이 강의 꼭 듣...</td>\n",
       "      <td>sql/db(mysql) 기본부터 파이썬/데이터분석 활용까지!\\n\\n이 강의 꼭 듣...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>566</th>\n",
       "      <td>24</td>\n",
       "      <td>27</td>\n",
       "      <td>빅데이터 분석을 공부해서 올해 취직을 목표로 하고있습니다! 첫 사회생활 한다니까 너...</td>\n",
       "      <td>- sql/db(mysql)기본부터 파이썬/데이터분석 활용까지!</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1581</th>\n",
       "      <td>24</td>\n",
       "      <td>27</td>\n",
       "      <td>파이썬관련하여 공부를 더 열심히 하고 싶어요!\\n관심 강의 : SQL/DB(MySQ...</td>\n",
       "      <td>sql/db(mysql) 기본부터 파이썬/데이터분석 활용까지!</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1593</th>\n",
       "      <td>24</td>\n",
       "      <td>27</td>\n",
       "      <td>파이썬을 이용한 데이터분석에 관심이 생겨서 공부하려고 합니다. 목표를 꼭 달성했으면...</td>\n",
       "      <td>sql/db(mysql) 기본부터 파이썬/데이터분석 활용까지!</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      bcluster  cluster                                        origin_text  \\\n",
       "65          24       27  데이터 분석을 끝내고 싶다.\\n#관심과목: SQL/DB(MySQL) 기본부터 파이썬...   \n",
       "394         24       27  사람들이 무슨 생각을 하는지 알고 싶네요.\\n관심강의는 SQL/DB(MySQL) 기...   \n",
       "474         24       27  데이터분석가로 취직하기 위해서 SQL 시작하고 파이썬 마스터하고 싶습니다!\\n관심강...   \n",
       "547         24       27  SQL/DB(MySQL) 기본부터 파이썬/데이터분석 활용까지!\\n\\n이 강의 꼭 듣...   \n",
       "566         24       27  빅데이터 분석을 공부해서 올해 취직을 목표로 하고있습니다! 첫 사회생활 한다니까 너...   \n",
       "1581        24       27  파이썬관련하여 공부를 더 열심히 하고 싶어요!\\n관심 강의 : SQL/DB(MySQ...   \n",
       "1593        24       27  파이썬을 이용한 데이터분석에 관심이 생겨서 공부하려고 합니다. 목표를 꼭 달성했으면...   \n",
       "\n",
       "                                                 course  \n",
       "65    데이터 분석을 끝내고 싶다.\\n#관심과목 sql/db(mysql) 기본부터 파이썬/...  \n",
       "394            는 sql/db(mysql) 기본부터 파이썬/데이터분석 활용까지 입니다.  \n",
       "474    sql/db(mysql) 기본부터 파이썬/데이터분석 활용까지!,\\n남박사의 파이썬...  \n",
       "547   sql/db(mysql) 기본부터 파이썬/데이터분석 활용까지!\\n\\n이 강의 꼭 듣...  \n",
       "566                 - sql/db(mysql)기본부터 파이썬/데이터분석 활용까지!  \n",
       "1581                 sql/db(mysql) 기본부터 파이썬/데이터분석 활용까지!  \n",
       "1593                 sql/db(mysql) 기본부터 파이썬/데이터분석 활용까지!  "
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[df[\"bcluster\"] == 24, [\"bcluster\", \"cluster\", \"origin_text\", \"course\"]].tail(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 클러스터 예측 정확도 확인하기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "# n_clusters 위에서 정의한 클러스터 수를 사용\n",
    "feature_array = feature_vector.toarray()\n",
    "# 예측한 클러스터의 유니크 값\n",
    "labels = np.unique(prediction)\n",
    "df_cluster_score = []\n",
    "df_cluster = []\n",
    "for label in labels:\n",
    "    id_temp = np.where(prediction==label) # 예측한 값이 클러스터 번호와 매치 되는 것을 가져옴\n",
    "    x_means = np.mean(feature_array[id_temp], axis = 0) # 클러스터의 평균 값을 구함\n",
    "    sorted_means = np.argsort(x_means)[::-1][:n_clusters] # 값을 역순으로 정렬해서 클러스터 수 만큼 가져옴\n",
    "    features = vectorizer.get_feature_names()\n",
    "    best_features = [(features[i], x_means[i]) for i in sorted_means] \n",
    "    # 클러스터별 전체 스코어\n",
    "    df_score = pd.DataFrame(best_features, columns = ['features', 'score'])\n",
    "    df_cluster_score.append(df_score)\n",
    "    # 클러스터 대표 키워드\n",
    "    df_cluster.append(best_features[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1734, 1934,  635, ..., 1295, 1296,    0])"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.argsort(x_means)[::-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>features</th>\n",
       "      <th>score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>홍정모의 따라하며 배우는</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>홍정모의 따라하며 배우는</td>\n",
       "      <td>0.393939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>함수형 프로그래밍과 자바스크립트</td>\n",
       "      <td>1.115385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>프로그래밍 시작하기 파이썬 입문</td>\n",
       "      <td>0.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>파이썬 알고리즘 문제풀이</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>파이썬 알고리즘 문제풀이</td>\n",
       "      <td>0.526316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>파이썬 머신러닝 완벽가이드</td>\n",
       "      <td>0.366667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>파이썬 머신러닝 완벽</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>테스트주도개발 tdd 만드는 nodejs api</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>취업을 위한 알고리즘 입문 with 창의적</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>처음 시작하는 파이썬</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>자바스크립트 vue js</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>자바 스프링 프레임워크</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>입문 with 창의적 문제해결</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>인프런에서 좋은 강의를</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>이더리움 부동산 dapp 만들기</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>애플리케이션을 테스트하는 다양한</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>애플리케이션을 테스트하는 다양한</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>안드로이드 ios 개발을</td>\n",
       "      <td>0.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>실전 스프링 데이터</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>실무 프로젝트를 위한</td>\n",
       "      <td>0.266667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>스프링 부트와 jpa</td>\n",
       "      <td>1.055556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>스프링 데이터 jpa</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>스프링 데이터 jpa</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>부트 개념과 활용</td>\n",
       "      <td>0.072222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>밑바닥 부터 시작하는 머신러닝 입문</td>\n",
       "      <td>0.007511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>리액트 핵심 강좌</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>독하게 시작하는 c프로그래밍</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>데이터와 실험을 통해 성장하는 서비스를 만드는</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>대세는 쿠버네티스 기초편</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>누구나 있다 이모티콘</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>남박사의 파이썬 실전 100 활용</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>게임을 만들어보며 배우는 언리얼 게임</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>vue js 완벽</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>swiftui 개념 익히기</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>sql db mysql 기본부터 파이썬</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>spring boot jpa</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>rest api 개발</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>orm 표준 jpa</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>nodebird sns 만들기</td>\n",
       "      <td>1.033333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>ios12 개발 퍼펙트</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>es6 제대로 알아보기</td>\n",
       "      <td>1.200000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      features     score\n",
       "1                홍정모의 따라하며 배우는  1.000000\n",
       "12               홍정모의 따라하며 배우는  0.393939\n",
       "4            함수형 프로그래밍과 자바스크립트  1.115385\n",
       "2            프로그래밍 시작하기 파이썬 입문  0.200000\n",
       "41               파이썬 알고리즘 문제풀이  1.000000\n",
       "16               파이썬 알고리즘 문제풀이  0.526316\n",
       "14              파이썬 머신러닝 완벽가이드  0.366667\n",
       "13                 파이썬 머신러닝 완벽  1.000000\n",
       "36  테스트주도개발 tdd 만드는 nodejs api  1.000000\n",
       "21     취업을 위한 알고리즘 입문 with 창의적  1.000000\n",
       "28                 처음 시작하는 파이썬  1.000000\n",
       "26               자바스크립트 vue js  1.000000\n",
       "35                자바 스프링 프레임워크  1.000000\n",
       "8             입문 with 창의적 문제해결  1.000000\n",
       "40                인프런에서 좋은 강의를  1.000000\n",
       "10           이더리움 부동산 dapp 만들기  1.000000\n",
       "5            애플리케이션을 테스트하는 다양한  1.000000\n",
       "18           애플리케이션을 테스트하는 다양한  1.000000\n",
       "17               안드로이드 ios 개발을  0.333333\n",
       "7                   실전 스프링 데이터  1.000000\n",
       "15                 실무 프로젝트를 위한  0.266667\n",
       "30                 스프링 부트와 jpa  1.055556\n",
       "19                 스프링 데이터 jpa  1.000000\n",
       "33                 스프링 데이터 jpa  1.000000\n",
       "3                    부트 개념과 활용  0.072222\n",
       "20         밑바닥 부터 시작하는 머신러닝 입문  0.007511\n",
       "11                   리액트 핵심 강좌  1.000000\n",
       "24             독하게 시작하는 c프로그래밍  1.000000\n",
       "9    데이터와 실험을 통해 성장하는 서비스를 만드는  1.000000\n",
       "31               대세는 쿠버네티스 기초편  1.000000\n",
       "37                 누구나 있다 이모티콘  1.000000\n",
       "27          남박사의 파이썬 실전 100 활용  1.000000\n",
       "38        게임을 만들어보며 배우는 언리얼 게임  1.000000\n",
       "23                   vue js 완벽  1.000000\n",
       "39              swiftui 개념 익히기  1.000000\n",
       "22       sql db mysql 기본부터 파이썬  1.000000\n",
       "32             spring boot jpa  1.000000\n",
       "34                 rest api 개발  1.000000\n",
       "6                   orm 표준 jpa  1.000000\n",
       "25            nodebird sns 만들기  1.033333\n",
       "29                ios12 개발 퍼펙트  1.000000\n",
       "0                 es6 제대로 알아보기  1.200000"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 개별 클러스터에서 점수가 가장 높은 단어를 추출 아래 점수가 클수록 예측 정확도가 높음\n",
    "# MiniBatchKMeans 로 예측한 값 기준\n",
    "pd.DataFrame(df_cluster, columns = ['features', 'score']).sort_values(by=[\"features\", \"score\"], ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bcluster</th>\n",
       "      <th>cluster</th>\n",
       "      <th>origin_text</th>\n",
       "      <th>course</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1257</th>\n",
       "      <td>32</td>\n",
       "      <td>0</td>\n",
       "      <td>얼마전 취업한 초급 개발자 입니다.\\n현재 열시미 파이썬을 공부중이에요!\\n#관심강...</td>\n",
       "      <td>처음 시작하는 파이썬</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1268</th>\n",
       "      <td>32</td>\n",
       "      <td>0</td>\n",
       "      <td>비전공자이지만 시대의 흐름에 뒤쳐지지 않기 위해 프로그래밍 공부를 하고 싶습니다. ...</td>\n",
       "      <td>처음 시작하는 파이썬</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      bcluster  cluster                                        origin_text  \\\n",
       "1257        32        0  얼마전 취업한 초급 개발자 입니다.\\n현재 열시미 파이썬을 공부중이에요!\\n#관심강...   \n",
       "1268        32        0  비전공자이지만 시대의 흐름에 뒤쳐지지 않기 위해 프로그래밍 공부를 하고 싶습니다. ...   \n",
       "\n",
       "            course  \n",
       "1257   처음 시작하는 파이썬  \n",
       "1268   처음 시작하는 파이썬  "
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 정확도가 1이 나온 클러스터를 찾아봄 - 같은 강좌끼리 묶였는지 확인 함\n",
    "df.loc[df[\"bcluster\"] == 32, [\"bcluster\", \"cluster\", \"origin_text\", \"course\"]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## WordCloud\n",
    "* [amueller/word_cloud: A little word cloud generator in Python](https://github.com/amueller/word_cloud)\n",
    "* 설치 방법 : [Wordcloud :: Anaconda Cloud](https://anaconda.org/conda-forge/wordcloud)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "from wordcloud import WordCloud\n",
    "\n",
    "# 불용어 - 자주 등장하지만 의미가 크지 않아 제외하고 싶은 텍스트\n",
    "stopwords = [\"관심 강의\", \"관심강의\", \"관심\", \"강의\", \"강좌\", \"강의를\",\n",
    "             \"올해\", \"올해는\", \"열심히\", \"공부를\", \"합니다\", \"하고\", \"싶어요\", \n",
    "             \"있는\", \"있습니다\", \"싶습니다\", \"2020년\"]\n",
    "# 불용어를 제거하지 않고 그리려면 아래 주석을 풀어서 stopword 변수에 덮어쓰기를 합니다.\n",
    "# stopwords = []\n",
    "def displayWordCloud(data = None, backgroundcolor = 'black', width=1280, height=768):\n",
    "    wordcloud = WordCloud(\n",
    "                        font_path = '/Library/Fonts/NanumBarunGothic.ttf', \n",
    "                        stopwords = stopwords, \n",
    "                        background_color = backgroundcolor, \n",
    "                        width = width, height = height, \n",
    "                        random_state=42).generate(data)\n",
    "    plt.figure(figsize = (15 , 10))\n",
    "    plt.imshow(wordcloud)\n",
    "    plt.axis(\"off\")\n",
    "    plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 516,
       "width": 851
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "course_text = \" \".join(df[\"course\"])\n",
    "displayWordCloud(course_text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.7.3"
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}