GD_6.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d83129fb",
   "metadata": {},
   "source": [
    "## 프로젝트 : 모든 장르 간 편향성 측정해 보기"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f778f5b",
   "metadata": {},
   "source": [
    "## WEAT 구현"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "82b9ce80",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from numpy import dot\n",
    "from numpy.linalg import norm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "c2fccd9d",
   "metadata": {},
   "outputs": [],
   "source": [
    "def cos_sim(a,b):\n",
    "    return dot(a,b.T) / norm(a) * norm(b)\n",
    "\n",
    "def s(w, A, B): \n",
    "    c_a = cos_sim(w,A)\n",
    "    c_b = cos_sim(w,B)\n",
    "    \n",
    "    mean_a = np.mean(c_a, axis = -1)\n",
    "    mean_b = np.mean(c_b, axis = -1)\n",
    "    \n",
    "    return mean_a - mean_b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "c0f82e1d",
   "metadata": {},
   "outputs": [],
   "source": [
    "def weat_score(X, Y, A, B):\n",
    "    s_X = s(X, A, B)\n",
    "    s_Y = s(Y, A, B)\n",
    "    \n",
    "    mean_X = np.mean(s_X)\n",
    "    mean_Y = np.mean(s_Y)\n",
    "\n",
    "    std_dev = np.std(np.concatenate([s_X,s_Y], axis = 0))\n",
    "    \n",
    "    return (mean_X - mean_Y) / std_dev"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f1410a4e",
   "metadata": {},
   "source": [
    "## 직접 만드는 Word Embedding에 WEAT 적용"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e6fa9ca9",
   "metadata": {},
   "source": [
    "## 1. 형태소 분석기를 이용하여 명사 추출"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c982f17c",
   "metadata": {},
   "outputs": [],
   "source": [
    "from konlpy.tag import Okt\n",
    "\n",
    "okt = Okt()\n",
    "data_path = 'C:/users/juwon/practice_aiffel/gd_nlp/weat/'\n",
    "tokenized = []\n",
    "\n",
    "with open(data_path + 'synopsis.txt', 'r', encoding='UTF-8') as f:\n",
    "    while True:\n",
    "        line = f.readline()\n",
    "        if not line : break\n",
    "        words = okt.pos(line, stem= True, norm = True)\n",
    "        res = []\n",
    "        for w in words:\n",
    "            if w[1] in ['Noun']:\n",
    "                res.append(w[0])\n",
    "        tokenized.append(res)\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1a299e0b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "71156\n"
     ]
    }
   ],
   "source": [
    "print(len(tokenized))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6824f67e",
   "metadata": {},
   "source": [
    "## 2. Word2Vec을 활용하여 임베딩 모델 만들기 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "eaf0e8bb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('작품', 0.8876355290412903),\n",
       " ('다큐멘터리', 0.8306227922439575),\n",
       " ('영화로', 0.8027042746543884),\n",
       " ('드라마', 0.7922249436378479),\n",
       " ('감동', 0.7640876770019531),\n",
       " ('코미디', 0.7625203132629395),\n",
       " ('영상', 0.7612444162368774),\n",
       " ('소설', 0.7557238936424255),\n",
       " ('버자이너', 0.748127281665802),\n",
       " ('형식', 0.7448681592941284)]"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from gensim.models import Word2Vec\n",
    "\n",
    "model = Word2Vec(tokenized, vector_size =120, window=3, min_count = 3, workers=4, sg=0)\n",
    "model.wv.most_similar(positive=['영화'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "7b78dd5f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('진심', 0.7137304544448853),\n",
       " ('첫사랑', 0.7096462845802307),\n",
       " ('우정', 0.7042750120162964),\n",
       " ('마음', 0.6850090026855469),\n",
       " ('연애', 0.6849740743637085),\n",
       " ('행복', 0.6841498017311096),\n",
       " ('애정', 0.6836258769035339),\n",
       " ('감정', 0.680023729801178),\n",
       " ('고백', 0.6789712309837341),\n",
       " ('재회', 0.6750574707984924)]"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.wv.most_similar(positive=['사랑'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "79e1205d",
   "metadata": {},
   "source": [
    "## 3. TF-IDF로 해당 데이터를 가장 잘 표현하는 단어 셋 만들기"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "11c90268",
   "metadata": {},
   "source": [
    "* WEAT score을 구하기 위해 단어셋(target, attribute)과 두 축을 정하겠습니다.    \n",
    "* 두 축으로는 영화구분과 영화장르를 사용하겠습니다.    \n",
    "* target인 영화구분에는 일반(상업)영화와 예술영화로 정하고, attribute에는 모든 장르로 정하겠습니다."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c07544f5",
   "metadata": {},
   "source": [
    "* 영화 구분\n",
    "\n",
    "synopsis_art.txt : 예술영화   \n",
    "\n",
    "synopsis_gen.txt : 일반영화(상업영화)   \n",
    "\n",
    "그 외는 독립영화 등으로 분류됩니다.   \n",
    "\n",
    "* 장르 구분   \n",
    "\n",
    "synopsis_SF.txt: SF\n",
    "\n",
    "synopsis_가족.txt: 가족\n",
    "\n",
    "synopsis_공연.txt: 공연\n",
    "\n",
    "synopsis_공포(호러).txt: 공포(호러)\n",
    "\n",
    "synopsis_기타.txt: 기타\n",
    "\n",
    "synopsis_다큐멘터리.txt: 다큐멘터리\n",
    "\n",
    "synopsis_드라마.txt: 드라마\n",
    "\n",
    "synopsis_멜로로맨스.txt: 멜로로맨스\n",
    "\n",
    "synopsis_뮤지컬.txt: 뮤지컬\n",
    "\n",
    "synopsis_미스터리.txt: 미스터리\n",
    "\n",
    "synopsis_범죄.txt: 범죄\n",
    "\n",
    "synopsis_사극.txt: 사극\n",
    "\n",
    "synopsis_서부극(웨스턴).txt: 서부극(웨스턴)\n",
    "\n",
    "synopsis_성인물(에로).txt: 성인물(에로)\n",
    "\n",
    "synopsis_스릴러.txt: 스릴러\n",
    "\n",
    "synopsis_애니메이션.txt: 애니메이션\n",
    "\n",
    "synopsis_액션.txt: 액션\n",
    "\n",
    "synopsis_어드벤처.txt: 어드벤처\n",
    "\n",
    "synopsis_전쟁.txt: 전쟁\n",
    "\n",
    "synopsis_코미디.txt: 코미디\n",
    "\n",
    "synopsis_판타지.txt: 판타지"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5ef1f74c",
   "metadata": {},
   "source": [
    "## 3.1 target 단어 셋 만들기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "bd909e6f",
   "metadata": {},
   "outputs": [],
   "source": [
    "art_txt = 'synopsis_art.txt'\n",
    "gen_txt = 'synopsis_gen.txt'\n",
    "\n",
    "def tokenize_txt(file_name):\n",
    "    okt= Okt()\n",
    "    result = []\n",
    "    with open(data_path + file_name,'r', encoding='UTF-8') as f:\n",
    "        print('{} 파일을 읽고 있습니다'.format(file_name))\n",
    "        while True:\n",
    "            line = f.readline()\n",
    "            if not line : break\n",
    "            words = okt.pos(line, stem = True, norm = True)\n",
    "            for word in words:\n",
    "                if word[1] in ['Noun']:\n",
    "                    result.append((word[0]))\n",
    "    return ' '.join(result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e4d9975f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "synopsis_art.txt 파일을 읽고 있습니다\n",
      "synopsis_gen.txt 파일을 읽고 있습니다\n"
     ]
    }
   ],
   "source": [
    "art = tokenize_txt(art_txt)\n",
    "gen = tokenize_txt(gen_txt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "03e0fb6a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
    "\n",
    "vectorizer = TfidfVectorizer()\n",
    "X = vectorizer.fit_transform([art, gen])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "eccb2787",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "34194"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vectorizer.vocabulary_['']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "fb5d265a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'모임'"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vectorizer.get_feature_names_out()[11220]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "8dcd5b72",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "예술영화를 대표하는 단어들:\n",
      "그녀 0.3041128528402531, 자신 0.29468299693822975, 시작 0.29141881604906783, 위해 0.26077178436749193, 사랑 0.25460610935463046, 사람 0.2341143071060028, 영화 0.15649933929704138, "
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\juwon\\anaconda3\\lib\\site-packages\\sklearn\\utils\\deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
      "  warnings.warn(msg, category=FutureWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "친구 0.15142172458056727, 남자 0.1338314164556391, 가족 0.11243289729335534, 이야기 0.10989408993511829, 마을 0.10481647521864418, 사건 0.09865080020578275, 마음 0.09792542667485787, 세상 0.09756273990939544, 아버지 0.09502393255115839, 아이 0.09393587225477108, 엄마 0.09266646857565256, 모든 0.09248512519292133, 여자 0.09085303474834036, 대한 0.08849557077283453, 서로 0.0861381067973287, 과연 0.08559407664913504, 다시 0.08251123914270432, 시간 0.08251123914270432, 아들 0.07960974501900484, 소녀 0.07725228104349899, 아내 0.07271869647521853, 다른 0.07108660603063757, 사이 0.06927317220332539, 영화제 0.06927317220332539, 세계 0.06854779867240052, 사실 0.06818511190693807, 하나 0.06637167807962589, 점점 0.06310749719046396, 남편 0.06220078027680787, 감독 0.061475406745883004, 여행 0.060568689832226914, 인생 0.060024659684033255, 발견 0.059117942770377165, 모두 0.05875525600491473, 순간 0.05857391262218351, 우리 0.05766719570852742, 가장 0.05657913541214011, 마지막 0.054040328053903054, 생활 0.05367764128844062, 아빠 0.05367764128844062, 모습 0.05295226775751574, 통해 0.05295226775751574, 죽음 0.05240823760932209, 기억 0.05240823760932209, 비밀 0.05222689422659087, 학교 0.05204555084385965, 음악 0.05132017731293478, 한편 0.0495067434856226, 소년 0.048418683189235284, 생각 0.04733062289284798, 도시 0.04714927951011676, 명의 0.04696793612738554, 사고 0.046061219213729444, 결혼 0.046061219213729444, 전쟁 0.04587987583099823, 때문 0.045698532448267014, 위기 0.045698532448267014, 이제 0.044247785386417264, 최고 0.04406644200368605, 이자 0.04370375523822361, 과거 0.04279703832456752, 일상 0.0426156949418363, 경찰 0.042071664793642646, 상황 0.04152763464544899, 간다 0.04152763464544899, 미국 0.040983604497255334, 결심 0.04080226111452412, 운명 0.04080226111452412, 현실 0.0406209177317929, 관계 0.0406209177317929, 지금 0.040076887583599244, 단편 0.03898882728721193, 여인 0.03844479713901828, 하루 0.038263453756287064, 이름 0.037900766990824626, 이후 0.037719423608093404, 준비 0.03717539345989975, 인간 0.03626867654624366, 감정 0.035543303015318786, 만난 0.035543303015318786, 국제 0.03536195963258757, 처음 0.03536195963258757, 충격 0.034999272867125134, 살인 0.034999272867125134, 누구 0.034999272867125134, 동안 0.034455242718931474, 존재 0.03427389933620026, 그린 0.033729869188006606, 어머니 0.03300449565708173, 연인 0.032641808891619294, 계속 0.03246046550888808, 동생 0.032279122126156856, 작품 0.03209777874342564, \n",
      "\n",
      "일반영화를 대표하는 단어들:\n",
      "자신 0.30262304349686464, 그녀 0.2879713996655904, 영화제 0.2878191747946161, 위해 0.23583438135690016, 사람 0.21269620096880992, 시작 0.21117395225906713, 국제 0.19602757759712647, 영화 0.1752869389268811, 친구 0.15759079767612127, 사랑 0.15603049274863492, 남자 0.14518447069171764, 이야기 0.12649886777962502, 대한 0.10259956303666336, 서울 0.1004303586252799, 여자 0.10016396510107492, 사건 0.09746197364128148, 남편 0.09426525135082164, 아이 0.08988878631031115, 가족 0.08908960573769618, 아버지 0.08878515599574763, 다른 0.0806030691808802, 마을 0.07736829067267678, 시간 0.07596021061616472, 엄마 0.07474241164837049, 아들 0.07344850024508913, 모든 0.07329627537411484, 단편 0.07276348832570488, 마음 0.0726112634547306, 사실 0.07116512718047496, 다시 0.07097484609175711, 세계 0.06975704712396288, 모습 0.06930037251104006, 작품 0.06842507950293795, 통해 0.06838702328519439, 생각 0.06815868597873297, 서로 0.0680064611077587, 세상 0.06560891938991381, 발견 0.06439112042211959, 감독 0.06416278311565816, 아내 0.06302109658335109, 관계 0.06279275927688967, 소녀 0.062298028446223265, 사이 0.061536904091351874, 하나 0.05902519372027629, 우리 0.05822601314766133, 애니메이션 0.05776933853473849, 때문 0.05750294501053351, 여성 0.053164536187766585, 죽음 0.050158094986024596, 과연 0.04992975767956318, 점점 0.049625307937614625, 인간 0.04947308306664035, 생활 0.04909252088920465, 한편 0.04878807114725609, 결혼 0.048597790058538246, 상황 0.04852167762305111, 모두 0.04825528409884612, 기억 0.046504698082641925, 명의 0.04536301155033484, 소년 0.045058561808386285, 여행 0.04444966232448917, 가장 0.04437354988900203, 간다 0.04433549367125846, 순간 0.04372659418736135, 이제 0.043269919574438515, 도시 0.04307963848572067, 비밀 0.04281324496151568, 학교 0.042166289259875, 과거 0.04189989573567002, 가지 0.04125294003402934, 이자 0.040491815679157946, 경찰 0.0404157032436708, 마지막 0.04018736593720939, 미국 0.0399209724130044, 동안 0.03923596049362015, 전쟁 0.03915984805813301, 주인공 0.03866511722746661, 대해 0.03756148691290309, 존재 0.03714286851772383, 현실 0.03664813768705742, 연출 0.036610081469313854, 사고 0.035925069549929606, 살인 0.03558256359023748, 일상 0.03554450737249391, 어머니 0.03512588897731465, 계속 0.0349356078885968, 사회 0.03478338301762252, 인생 0.03474532679987895, 다큐멘터리 0.03470727058213538, 부문 0.03428865218695611, 섹스 0.03417448353372541, 최고 0.03409837109823827, 바로 0.03310890943690546, 동생 0.03276640347721334, 의도 0.03276640347721334, 하루 0.03257612238849549, 위기 0.03250000995300835, 계획 0.03246195373526478, 정체 0.032423897517521214, 한국 0.03238584129977764, "
     ]
    }
   ],
   "source": [
    "m1 = X[0].tocoo()\n",
    "m2 = X[1].tocoo()\n",
    "\n",
    "w1 = [[i,j] for i,j in zip(m1.col, m1.data)]\n",
    "w2 = [[i,j] for i,j in zip(m2.col, m2.data)]\n",
    "\n",
    "w1.sort(key=lambda x : x[1], reverse =True)\n",
    "w2.sort(key=lambda x : x[1], reverse =True)\n",
    "\n",
    "print('예술영화를 대표하는 단어들:')\n",
    "for i in range(100):\n",
    "    print(vectorizer.get_feature_names()[w1[i][0]],w1[i][1], end=', ')\n",
    "\n",
    "print('\\n')\n",
    "    \n",
    "print('일반영화를 대표하는 단어들:')\n",
    "for i in range(100):\n",
    "    print(vectorizer.get_feature_names()[w2[i][0]],w2[i][1], end=', ')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "dda0f702",
   "metadata": {},
   "outputs": [],
   "source": [
    "n = 15\n",
    "w1_ = []\n",
    "w2_ = []\n",
    "for i in range(100):\n",
    "    w1_.append(vectorizer.get_feature_names_out()[w1[i][0]])\n",
    "    w2_.append(vectorizer.get_feature_names_out()[w2[i][0]])\n",
    "\n",
    "target_art = []\n",
    "target_gen = []\n",
    "\n",
    "for i in range(100):\n",
    "    if (w1_[i] not in w2_) & (w1_[i] in model.wv) : target_art.append(w1_[i])\n",
    "    if len(target_art) == n : break\n",
    "\n",
    "for i in range(100):\n",
    "    if (w2_[i] not in w1_) & (w2_[i] in model.wv) : target_gen.append(w2_[i])\n",
    "    if len(target_gen) == n : break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "865d5964",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['아빠', '음악', '결심', '운명', '지금', '여인', '이름', '이후', '준비', '감정', '만난', '처음', '충격', '누구', '그린']\n",
      "['서울', '애니메이션', '여성', '가지', '주인공', '대해', '연출', '사회', '다큐멘터리', '부문', '섹스', '바로', '의도', '계획', '정체']\n"
     ]
    }
   ],
   "source": [
    "print(target_art)\n",
    "print(target_gen)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0fc4526d",
   "metadata": {},
   "source": [
    "## 3.2 attribute 단어 셋 만들기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "b9cd7d01",
   "metadata": {},
   "outputs": [],
   "source": [
    "genre_txt = ['synopsis_SF.txt', 'synopsis_family.txt', 'synopsis_show.txt', 'synopsis_horror.txt', 'synopsis_etc.txt', \n",
    "             'synopsis_documentary.txt', 'synopsis_drama.txt', 'synopsis_romance.txt', 'synopsis_musical.txt', \n",
    "             'synopsis_mystery.txt', 'synopsis_crime.txt', 'synopsis_historical.txt', 'synopsis_western.txt', \n",
    "             'synopsis_adult.txt', 'synopsis_thriller.txt', 'synopsis_animation.txt', 'synopsis_action.txt', \n",
    "             'synopsis_adventure.txt', 'synopsis_war.txt', 'synopsis_comedy.txt', 'synopsis_fantasy.txt']\n",
    "genre_name = ['SF', '가족', '공연', '공포(호러)', '기타', '다큐멘터리', '드라마', '멜로로맨스', '뮤지컬', '미스터리', '범죄', '사극', '서부극(웨스턴)',\n",
    "         '성인물(에로)', '스릴러', '애니메이션', '액션', '어드벤처', '전쟁', '코미디', '판타지']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "716e5195",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "synopsis_SF.txt 파일을 읽고 있습니다\n",
      "synopsis_family.txt 파일을 읽고 있습니다\n",
      "synopsis_show.txt 파일을 읽고 있습니다\n",
      "synopsis_horror.txt 파일을 읽고 있습니다\n",
      "synopsis_etc.txt 파일을 읽고 있습니다\n",
      "synopsis_documentary.txt 파일을 읽고 있습니다\n",
      "synopsis_drama.txt 파일을 읽고 있습니다\n",
      "synopsis_romance.txt 파일을 읽고 있습니다\n",
      "synopsis_musical.txt 파일을 읽고 있습니다\n",
      "synopsis_mystery.txt 파일을 읽고 있습니다\n",
      "synopsis_crime.txt 파일을 읽고 있습니다\n",
      "synopsis_historical.txt 파일을 읽고 있습니다\n",
      "synopsis_western.txt 파일을 읽고 있습니다\n",
      "synopsis_adult.txt 파일을 읽고 있습니다\n",
      "synopsis_thriller.txt 파일을 읽고 있습니다\n",
      "synopsis_animation.txt 파일을 읽고 있습니다\n",
      "synopsis_action.txt 파일을 읽고 있습니다\n",
      "synopsis_adventure.txt 파일을 읽고 있습니다\n",
      "synopsis_war.txt 파일을 읽고 있습니다\n",
      "synopsis_comedy.txt 파일을 읽고 있습니다\n",
      "synopsis_fantasy.txt 파일을 읽고 있습니다\n"
     ]
    }
   ],
   "source": [
    "genre = []\n",
    "for file_name in genre_txt:\n",
    "    genre.append(tokenize_txt(file_name))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "2fad3219",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(21, 42191)\n"
     ]
    }
   ],
   "source": [
    "vectorizer = TfidfVectorizer()\n",
    "X = vectorizer.fit_transform(genre)\n",
    "print(X.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "c9a6ea1d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SF: 위해 0.2605304898004592, 자신 0.2578306919786928, 지구 0.24311760962006135, 시작 0.22678301702837897, 사람 0.19303554425629876, 인류 0.18855687324312367, 인간 0.1484888801971529, 미래 0.1300150976062273, 우주 0.12544212077819988, 그녀 0.1147414074250727, 로봇 0.11390587236395597, 세계 0.11204160960330628, 모든 0.1073649134285495, 박사 0.10210939604042577, 우주선 0.0932292017947141, 외계 0.08652299913841272, 존재 0.0836937324747589, 세상 0.08193638130073516, 발견 0.0809939346529925, 행성 0.08022047596289353, 정체 0.07829413683122607, 친구 0.07694423792034287, 비밀 0.07628559638344307, 사실 0.07628559638344307, 기억 0.07540645895865461, \n",
      "\n",
      "가족: 엄마 0.24746109893787335, 아빠 0.22621239996056924, 가족 0.20313690840925253, 영화제 0.20047121104243398, 자신 0.19410704561251546, 위해 0.17501454932275984, 친구 0.15273997031804495, 아주르 0.1513733734073891, 아버지 0.1495578876030857, 시작 0.1463758048881264, 그녀 0.14319372217316714, 아들 0.12410122588341152, 마을 0.12091914316845224, 국제 0.12091914316845224, 낙타 0.11706413824961394, 할머니 0.10945761288414642, 씨제이 0.10812383814813509, 동구 0.10265672189551193, 사랑 0.10182664687869664, 아이 0.10182664687869664, 사람 0.10182664687869664, 학교 0.09324317107309953, 세상 0.08991305782048882, 소년 0.08756609030731713, 슈이트 0.07568668670369455, \n",
      "\n",
      "공연: 오페라 0.2673209280863663, 사랑 0.2648377553197845, 토스카 0.213518286702603, 실황 0.20490302694160023, 올레 0.16530448002782167, 자신 0.16297708019679044, 카바 0.1474906217025022, 그녀 0.13751191141604194, 공연 0.12535865583117373, 오텔로 0.12192438273350263, 리골레토 0.12113916726956518, 백작 0.11210232468137944, 프레 0.11092070126167308, 베르디 0.11020298668521444, 위해 0.10950022575721857, 카르피 0.10668383489181481, 비바 0.10668383489181481, 왕자 0.10408140505687737, 콘서트 0.09916744106429719, 백작부인 0.09642761334956264, 반니 0.09286446551639028, 아리아 0.08265224001391083, 미노 0.07683863510310009, 차이코프스키 0.07620273920843915, 라다 0.07583337417804847, \n",
      "\n",
      "공포(호러): 시작 0.25799365348090075, 위해 0.24166494123527413, 사람 0.24003207001071147, 자신 0.23241200429608572, 친구 0.22315906735689728, 그녀 0.22207048654052217, 사건 0.18740195533401297, 공포 0.16518713388104486, 발견 0.14750270061882723, 죽음 0.13171827878138814, 마을 0.11702243776032419, 가족 0.09854266952214055, 악령 0.09831745885656917, 남자 0.09579511184100957, 좀비 0.09345243663926586, 영화 0.09227695065079058, 사실 0.08715045339241333, 소녀 0.08658084258592695, 하나 0.08382072286088336, 살인 0.08373278855349515, 이야기 0.07917590210160426, 비밀 0.07917590210160426, 아이 0.07892210918719539, 정체 0.07620065714625761, 저주 0.07530867512654507, \n",
      "\n",
      "기타: 영화제 0.5097837110105109, 국제 0.3951475102381303, 서울 0.3564873579879493, 단편 0.30864800579036267, 영화 0.14859806329642478, 자신 0.14633484719807682, 사람 0.13591337440058768, 이야기 0.1272399318746145, 그녀 0.11854425307143909, 남자 0.10160935977551921, 위해 0.09770130747646079, 시작 0.08554292254605678, 사랑 0.08467446647959935, 뉴미디어 0.08223488115984566, 페스티벌 0.077861301597066, 여자 0.07657391600944331, 대한 0.06730534515045077, 독립 0.06464924445608948, 친구 0.06426574891784977, 작품 0.05998453931231825, 엄마 0.059927412529129545, 통해 0.057712397671700146, 아시아나 0.05765249910930053, 다른 0.0564496443197329, 우리 0.055894684359205644, \n",
      "\n",
      "다큐멘터리: 영화제 0.3348573623446338, 영화 0.2774031142991059, 다큐 0.2319920082621832, 국제 0.22811571574850126, 다큐멘터리 0.21802949251921008, 사람 0.1982880851530969, 이야기 0.172763439903194, 대한 0.15776753038198155, 자신 0.14932574813799918, 감독 0.14743789019011216, 위해 0.13863282396228818, 서울 0.13271501146736323, 우리 0.13153580083538638, 시작 0.1301910417183058, 세계 0.11593380948402449, 통해 0.11190359175547795, 그녀 0.11086874013763506, 여성 0.10778082784869718, 가족 0.09384195940196222, 한국 0.08905026701375748, 작품 0.08108102350002175, 환경 0.07973496438820246, 사회 0.078510501111163, 모습 0.07578032704844648, 아이 0.07541325471290913, \n",
      "\n",
      "드라마: 자신 0.2943054910121466, 영화제 0.28863554777771633, 그녀 0.27667551126758994, 사람 0.20305484208303431, 사랑 0.20172594913746472, 영화 0.18950783381739117, 위해 0.1886142054078447, 시작 0.18081803346050307, 국제 0.14936756708202262, 남자 0.1454694811083518, 친구 0.13457255895468112, 이야기 0.12590588959100646, 엄마 0.11692918101592019, 여자 0.11091290780182306, 아버지 0.10834907149544108, 가족 0.10819747654838331, 단편 0.10286061627905232, 서울 0.09640025943599972, 대한 0.0961232563962008, 아들 0.09178220610734011, 마음 0.09095263452781836, 아이 0.09027612743569458, 남편 0.08789306578223426, 서로 0.07831609092556821, 시간 0.07574689789746698, \n",
      "\n",
      "멜로로맨스: 그녀 0.4700892105225627, 사랑 0.305454442960696, 자신 0.24902302892219458, 시작 0.2078643370317279, 남편 0.20534360578357216, 남자 0.19880424762187673, 여자 0.17550609861082275, 사람 0.16126959149535053, 친구 0.147032308137013, 섹스 0.1428269633227611, 위해 0.1415962544911023, 마음 0.13653453471625376, 결혼 0.10321360660097756, 서로 0.09810782532381677, 아내 0.09448378955987631, 관계 0.08641769161604157, 부부 0.08143097626859763, 엄마 0.0768370803288093, 아버지 0.07144527648911196, 사실 0.07124718775868004, 영화 0.06935087477650985, 점점 0.06808010042259581, 다시 0.06691275808514817, 회사 0.06609705631702469, 시간 0.06575036314577694, \n",
      "\n",
      "뮤지컬: 뮤지컬 0.2557771668447014, 사랑 0.2005370684971408, 에스메랄다 0.19414779123539094, 그녀 0.17694447220335954, 음악 0.1679678707758507, 충무로 0.1582288218439347, 모차르트 0.1518277213565085, 영화 0.14814074545341416, 토스카 0.14357706708725154, 자신 0.14155557776268762, 니웨 0.14028904998443953, 카바 0.1391754112434661, 영화제 0.129759279615797, 바흐 0.12652310113042375, 페뷔스 0.12024775712951961, 프롤 0.12024775712951961, 모도 0.10849211041949186, 카르피 0.10589879521930416, 시작 0.1002685342485704, 제루샤 0.10020646427459969, 샤오캉 0.10020646427459969, 위해 0.09437038517512508, 데이비 0.0882489960160868, 팬텀 0.08782124114225913, 최고 0.08257408702823445, \n",
      "\n",
      "미스터리: 사건 0.34530428912267613, 그녀 0.2851239737740272, 시작 0.24746609044538212, 자신 0.22415406743241134, 위해 0.17035709124863263, 사람 0.15242476585403972, 발견 0.1183533476043132, 사고 0.11514309294756475, 진실 0.11392045960311509, 죽음 0.11118041744647603, 기억 0.10409973032698448, 살인 0.10133930224252452, 친구 0.10042102220972028, 아내 0.09324809205188311, 남자 0.08966162697296454, 아이 0.08966162697296454, 민혁 0.08847458413899296, 사실 0.0844494185354371, 의문 0.079664025130284, 미스터리 0.07894530307578679, 형사 0.0780217063696378, 하나 0.0771089991967495, 비밀 0.07694280355450936, 영화 0.07694280355450936, 마을 0.07531576665729021, \n",
      "\n",
      "범죄: 사건 0.30739903462725604, 위해 0.24935734621178415, 자신 0.24724414836253175, 경찰 0.2303034080645634, 시작 0.21765937847299802, 그녀 0.16694263009094024, 범죄 0.1532384473916175, 조직 0.1502259997276718, 살인 0.1404304942361925, 사람 0.1320748655782755, 마약 0.11798234500596201, 형사 0.10865998996860148, 남자 0.09932029891486317, 모든 0.09841192115764671, 살해 0.09605619532341086, 수사 0.09472922202390899, 발견 0.08981090859322734, 한길수 0.0861650997895493, 범인 0.08564046330039041, 계획 0.08558451289472252, 은행 0.0807984540792165, 작전 0.0739014998660321, 여자 0.07291012416114319, 아버지 0.06762233117607706, 사실 0.06745086731029719, \n",
      "\n",
      "사극: 조선 0.3684551230983887, 위해 0.1943690336333632, 시작 0.15657505487132034, 신기전 0.14676569345804272, 사랑 0.1457767752250224, 자신 0.1403776354018734, 아가멤논 0.12841998177578737, 황제 0.11389625671458294, 그녀 0.11338193628612853, 루안 0.11007427009353205, 최고 0.0971845168166816, 운명 0.0971845168166816, 사람 0.0971845168166816, 하선 0.09693929322102687, 전쟁 0.09461972496771197, 윤서 0.09378970931547888, 트로이 0.09202488761000083, 세자 0.09172855841127671, 허균 0.09172855841127671, 노준 0.09172855841127671, 채선 0.09172855841127671, 신재효 0.09172855841127671, 히파티아 0.09172855841127671, 권력 0.09040492627418945, 아킬레스 0.08761987881834422, \n",
      "\n",
      "서부극(웨스턴): 서부 0.30793196999364025, 보안관 0.2256155392733187, 위해 0.19576295289168866, 벌린 0.1952689884539723, 카우보이 0.18341276779699428, 그레이프바인 0.16629550305492977, 헨리 0.16415756044673446, 마을 0.16313579407640721, 자신 0.1468222146687665, 개릿 0.14645174134047925, 아이 0.13050863526112577, 시작 0.11419505585348505, 무법자 0.11048516391555069, 프린트 0.09844923362744806, 마적 0.09763449422698615, 태구 0.09763449422698615, 현상금 0.09474829845958162, 분노 0.09352603412652945, 버질 0.08824824556079261, 랜던 0.08824824556079261, 스탠리 0.08752842349644611, 가족 0.08536243688372616, 제임스 0.08207878022336723, 복수 0.08156789703820361, 아내 0.08156789703820361, \n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "성인물(에로): 그녀 0.46502280632613247, 남편 0.3221454313853036, 마사지 0.23654977735685062, 자신 0.2247688438246392, 섹스 0.1676092073246732, 관계 0.16303701710353777, 영화 0.14781368116917132, 정사 0.14648772184879974, 남자 0.14499702033781525, 위해 0.1388968220711758, 시작 0.12575793349687536, 여자 0.11512926725396781, 유부녀 0.10909944489652736, 마음 0.09919722124974287, 사랑 0.08774900583550632, 에피소드 0.08475904581802061, 그린 0.08377710072498551, 아내 0.08164880756886685, 다시 0.08004528249360439, 자위 0.07929060070351401, 이야기 0.0780809810827184, 회사 0.07732030082695604, 친구 0.07648710134324883, 불륜 0.07447576366656004, 사실 0.07415237826094641, \n",
      "\n",
      "스릴러: 자신 0.32226018371573545, 그녀 0.2878092063920043, 사건 0.28317127650949214, 시작 0.2562291438452507, 위해 0.2339795543236743, 사람 0.2102945074136091, 살인 0.1742592470827644, 남자 0.15072302579132393, 발견 0.11340113369061515, 아내 0.10765930413665996, 경찰 0.10298375641380596, 친구 0.10191747458270475, 모든 0.0946407979846048, 사실 0.08938297587434899, 살해 0.0872610455109348, 가족 0.0871296235413822, 형사 0.08516628673716264, 점점 0.08325652853235037, 비밀 0.08187180143112639, 사랑 0.07823242767263956, 여자 0.07704128342406857, 사고 0.07406551929130442, 범인 0.07153833460806368, 아들 0.07033741203595117, 남편 0.06684945254468118, \n",
      "\n",
      "애니메이션: 애니메이션 0.4751632110068453, 국제 0.3159146064415106, 영화제 0.2870395408561322, 친구 0.19827545035293184, 인디애니페스트 0.17950415290836036, 위해 0.16533648664812978, 자신 0.15699480103457603, 시작 0.13924198293393594, 사람 0.1379586466856969, 페스티벌 0.13056750203145118, 서울 0.12409462786639153, 이야기 0.11594886709271134, 아이 0.1063030192291339, 마을 0.09945855923852567, 소녀 0.09580331103413214, 세계 0.09261409924791746, 세상 0.08550669349308056, 애니 0.08454151038854733, 단편 0.08269304677842605, 남자 0.07978073676552705, 그녀 0.07956684739082054, 소년 0.07921455494238036, 부문 0.07473085969402712, 과연 0.0716529405266798, 작품 0.07140480425207513, \n",
      "\n",
      "액션: 위해 0.35911105033826296, 자신 0.29655028665849725, 시작 0.23582954543990112, 조직 0.19058311190665397, 사건 0.1726639566899129, 사람 0.1413750590998627, 그녀 0.13800168458771847, 경찰 0.13570328574103502, 전쟁 0.10110566586151372, 모든 0.09307164951686756, 목숨 0.0905041557370919, 사실 0.08954134556967602, 친구 0.08924108936672462, 가족 0.0837644845651808, 요원 0.08358370965381501, 임무 0.08157801100063418, 범죄 0.08127048005557652, 세계 0.08034764747107165, 살인 0.07991324389551732, 한편 0.07850762500990206, 아버지 0.07666760254873249, 복수 0.07574759131814769, 죽음 0.07513425049775783, 아들 0.07452090967736798, 마약 0.07401024511196837, \n",
      "\n",
      "어드벤처: 위해 0.29707670498173727, 자신 0.18405839330390245, 시작 0.14853835249086864, 친구 0.1420801632521352, 마을 0.1388510686327685, 아버지 0.11947650091656825, 영화 0.1182759253041169, 아이 0.11624740629720154, 사람 0.11624740629720154, 여행 0.1115173010010245, 세계 0.10978921705846813, 앤트 0.10972125342564798, 세상 0.10813798884947831, 가족 0.10475867669793212, 모험 0.09462074024329352, 비밀 0.09124142809174733, 대한 0.09041464934226787, 이야기 0.08786211594020113, 모든 0.08786211594020113, 소년 0.0851572955083837, 여정 0.08141866492931048, 모두 0.08110349163710874, 인간 0.07749827086480103, 발견 0.07749827086480103, 영화제 0.0710400816260676, \n",
      "\n",
      "전쟁: 전쟁 0.26818031718048313, 독일군 0.26275782259825015, 전투 0.22242431637912194, 위해 0.1985958307127686, 작전 0.18715945434680717, 시작 0.171390922395951, 부대 0.17109562798393996, 윈터스 0.13865914404994148, 독일 0.1221710333822201, 연합군 0.1151547845350289, 미군 0.09244415518277047, 임무 0.09046040293429013, 자신 0.08977619744549814, 사람 0.08705570661381637, 나치 0.08653560807864186, 병사 0.08554781399196998, 공격 0.0854114432311854, 이지중대 0.0831954864299649, 혁리 0.0831954864299649, 대원 0.0827731903360922, 중위 0.08271319147932095, 세계대전 0.08249734961260542, 군인 0.08212590143229118, 동막골 0.08140878827487649, 대위 0.07428112137683066, \n",
      "\n",
      "코미디: 그녀 0.27251405156482744, 자신 0.27145642911373496, 시작 0.2376125106787758, 위해 0.23373456169143672, 사랑 0.2104668677674023, 사람 0.18261614322196715, 친구 0.18085343913681304, 영화 0.1730333390136361, 남자 0.16005353093199437, 여자 0.13399111635456748, 영화제 0.11281306144986389, 가족 0.11142018844801302, 과연 0.10117921448784667, 마을 0.09483347978129182, 사건 0.08965266818830187, 이야기 0.08780796308154669, 인생 0.08338067082533424, 아이 0.07896914301490472, 아버지 0.07826406138084308, 마음 0.07821549652641974, 모든 0.07747761448371766, 생각 0.07563290937696247, 결혼 0.07452608631290937, 엄마 0.0710500444070329, 서로 0.07086070422319575, \n",
      "\n",
      "판타지: 자신 0.2776943365230126, 그녀 0.25886760184348634, 시작 0.24004086716396006, 위해 0.21415410697961143, 사람 0.18356066312538122, 사랑 0.17179395395067731, 요괴 0.17163980616877222, 영화제 0.13178714275668396, 이야기 0.11328968935923797, 영화 0.11082687002534149, 소녀 0.10343841202365206, 남자 0.09884035706751297, 인간 0.09648701523257218, 세상 0.09358713468806615, 마을 0.08707364789280904, 세계 0.08707364789280904, 국제 0.08472030605786826, 마법 0.0846209916404651, 알렉스 0.08377485271762543, 존재 0.08236696422292747, 사건 0.07881021868468728, 순영 0.07746432204174625, 판타스틱 0.07629089159570025, 친구 0.07530693871810512, 아이 0.07530693871810512, \n",
      "\n"
     ]
    }
   ],
   "source": [
    "m = [X[i].tocoo() for i in range(X.shape[0])]\n",
    "\n",
    "w = [[[i, j] for i, j in zip(mm.col, mm.data)]for mm in m]\n",
    "\n",
    "for i in range(len(w)):\n",
    "    w[i].sort(key=lambda x: x[1], reverse = True)\n",
    "\n",
    "attribute = []\n",
    "for i in range(len(w)):\n",
    "    attr=[]\n",
    "    print(genre_name[i], end=': ')\n",
    "    j=0\n",
    "    while len(attr) < 25 :\n",
    "        if vectorizer.get_feature_names_out()[w[i][j][0]] in model.wv:\n",
    "            attr.append(vectorizer.get_feature_names_out()[w[i][j][0]])\n",
    "            print(vectorizer.get_feature_names_out()[w[i][j][0]],w[i][j][1], end=', ')\n",
    "        j+=1\n",
    "    attribute.append(attr)\n",
    "    print()\n",
    "    print()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c9f7950e",
   "metadata": {},
   "source": [
    "## 4. embedding model과 단어 셋으로 WEAT Score 구하기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "c2ae3d29",
   "metadata": {},
   "outputs": [],
   "source": [
    "freq_dic = {}\n",
    "for word, _ in model.wv.key_to_index.items():\n",
    "    freq = model.wv.get_vecattr(word,'count')\n",
    "    freq_dic.update({word:freq})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "42a2de8f",
   "metadata": {},
   "outputs": [],
   "source": [
    "common_list = ['자신','그녀','위해','시작','사람','국제','영화제','애니메이션','남자','여자','사건','감독','발견']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "ec1eeb27",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SF: 지구, 인류, 인간, 미래, 우주, 로봇, 세계, 모든, 박사, 우주선, 외계, 존재, 세상, 행성, 정체, \n",
      "\n",
      "가족: 엄마, 아빠, 가족, 친구, 아주르, 아버지, 아들, 마을, 낙타, 할머니, 씨제이, 동구, 사랑, 아이, 학교, \n",
      "\n",
      "공연: 오페라, 사랑, 토스카, 실황, 올레, 카바, 공연, 오텔로, 리골레토, 백작, 프레, 베르디, 카르피, 비바, 왕자, \n",
      "\n",
      "공포(호러): 친구, 공포, 죽음, 마을, 가족, 악령, 좀비, 영화, 사실, 소녀, 하나, 살인, 이야기, 비밀, 아이, \n",
      "\n",
      "기타: 서울, 단편, 영화, 이야기, 사랑, 뉴미디어, 페스티벌, 대한, 독립, 친구, 작품, 엄마, 통해, 아시아나, 다른, \n",
      "\n",
      "다큐멘터리: 영화, 다큐, 다큐멘터리, 이야기, 대한, 서울, 우리, 세계, 통해, 여성, 가족, 한국, 작품, 환경, 사회, \n",
      "\n",
      "드라마: 사랑, 영화, 친구, 이야기, 엄마, 아버지, 가족, 단편, 서울, 대한, 아들, 마음, 아이, 남편, 서로, \n",
      "\n",
      "멜로로맨스: 사랑, 남편, 친구, 섹스, 마음, 결혼, 서로, 아내, 관계, 부부, 엄마, 아버지, 사실, 영화, 점점, \n",
      "\n",
      "뮤지컬: 뮤지컬, 사랑, 에스메랄다, 음악, 충무로, 모차르트, 영화, 토스카, 니웨, 카바, 바흐, 페뷔스, 프롤, 모도, 카르피, \n",
      "\n",
      "미스터리: 사고, 진실, 죽음, 기억, 살인, 친구, 아내, 아이, 민혁, 사실, 의문, 미스터리, 형사, 하나, 비밀, \n",
      "\n",
      "범죄: 경찰, 범죄, 조직, 살인, 마약, 형사, 모든, 살해, 수사, 한길수, 범인, 계획, 은행, 작전, 아버지, \n",
      "\n",
      "사극: 조선, 신기전, 사랑, 아가멤논, 황제, 루안, 최고, 운명, 하선, 전쟁, 윤서, 트로이, 세자, 허균, 노준, \n",
      "\n",
      "서부극(웨스턴): 서부, 보안관, 벌린, 카우보이, 그레이프바인, 헨리, 마을, 개릿, 아이, 무법자, 프린트, 마적, 태구, 현상금, 분노, \n",
      "\n",
      "성인물(에로): 남편, 마사지, 섹스, 관계, 영화, 정사, 유부녀, 마음, 사랑, 에피소드, 그린, 아내, 다시, 자위, 이야기, \n",
      "\n",
      "스릴러: 살인, 아내, 경찰, 친구, 모든, 사실, 살해, 가족, 형사, 점점, 비밀, 사랑, 사고, 범인, 아들, \n",
      "\n",
      "애니메이션: 친구, 인디애니페스트, 페스티벌, 서울, 이야기, 아이, 마을, 소녀, 세계, 세상, 애니, 단편, 소년, 부문, 과연, \n",
      "\n",
      "액션: 조직, 경찰, 전쟁, 모든, 목숨, 사실, 친구, 가족, 요원, 임무, 범죄, 세계, 살인, 한편, 아버지, \n",
      "\n",
      "어드벤처: 친구, 마을, 아버지, 영화, 아이, 여행, 세계, 앤트, 세상, 가족, 모험, 비밀, 대한, 이야기, 모든, \n",
      "\n",
      "전쟁: 전쟁, 독일군, 전투, 작전, 부대, 윈터스, 독일, 연합군, 미군, 임무, 나치, 병사, 공격, 이지중대, 혁리, \n",
      "\n",
      "코미디: 사랑, 친구, 영화, 가족, 과연, 마을, 이야기, 인생, 아이, 아버지, 마음, 모든, 생각, 결혼, 엄마, \n",
      "\n",
      "판타지: 사랑, 요괴, 이야기, 영화, 소녀, 인간, 세상, 마을, 세계, 마법, 알렉스, 존재, 순영, 판타스틱, 친구, \n",
      "\n"
     ]
    }
   ],
   "source": [
    "m = [X[i].tocoo() for i in range(X.shape[0])]\n",
    "\n",
    "w = [[[i, j] for i, j in zip(mm.col, mm.data)]for mm in m]\n",
    "\n",
    "for i in range(len(w)):\n",
    "    w[i].sort(key=lambda x: x[1], reverse = True)\n",
    "\n",
    "attribute = []\n",
    "for i in range(len(w)):\n",
    "    attr=[]\n",
    "    print(genre_name[i], end=': ')\n",
    "    j=0\n",
    "    while len(attr) < 15 :\n",
    "        if (vectorizer.get_feature_names_out()[w[i][j][0]] in model.wv) & \\\n",
    "        (vectorizer.get_feature_names_out()[w[i][j][0]] not in common_list):\n",
    "            attr.append(vectorizer.get_feature_names_out()[w[i][j][0]])\n",
    "            print(vectorizer.get_feature_names_out()[w[i][j][0]], end=', ')\n",
    "        j+=1\n",
    "    attribute.append(attr)\n",
    "    print()\n",
    "    print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "0892f6b5",
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "matrix = [[0 for _ in range(len(genre_name))] for _ in range(len(genre_name))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "id": "78e3987a",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = np.array([model.wv[word] for word in target_art])\n",
    "Y = np.array([model.wv[word] for word in target_gen])\n",
    "\n",
    "for i in range(len(genre_name)-1):\n",
    "    for j in range(i+1, len(genre_name)):\n",
    "        A = np.array([model.wv[word] for word in attribute[i]])\n",
    "        B = np.array([model.wv[word] for word in attribute[j]])\n",
    "        matrix[i][j] = weat_score(X, Y, A, B)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "id": "de74574b",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SF 가족 -0.8246204\n",
      "SF 공연 -0.107604735\n",
      "SF 공포(호러) -0.80804527\n",
      "SF 기타 0.28895733\n",
      "SF 다큐멘터리 0.48416555\n",
      "SF 드라마 -0.7649532\n",
      "SF 멜로로맨스 -0.8635448\n",
      "SF 뮤지컬 0.028582415\n",
      "SF 미스터리 -0.7763318\n",
      "SF 범죄 -0.17782462\n",
      "SF 사극 -0.2117162\n",
      "SF 서부극(웨스턴) -0.1701159\n",
      "SF 성인물(에로) -0.6531339\n",
      "SF 스릴러 -0.7436375\n",
      "SF 애니메이션 0.16000596\n",
      "SF 액션 -0.5230107\n",
      "SF 어드벤처 -0.9094462\n",
      "SF 전쟁 0.109871134\n",
      "SF 코미디 -1.044537\n",
      "SF 판타지 -0.44499835\n",
      "가족 공연 1.0354536\n",
      "가족 공포(호러) 0.37365043\n",
      "가족 기타 0.71323735\n",
      "가족 다큐멘터리 0.7753707\n",
      "가족 드라마 0.039101537\n",
      "가족 멜로로맨스 -0.4488423\n",
      "가족 뮤지컬 1.0159457\n",
      "가족 미스터리 0.07087991\n",
      "가족 범죄 0.7517941\n",
      "가족 사극 0.98022985\n",
      "가족 서부극(웨스턴) 1.1477699\n",
      "가족 성인물(에로) 0.011953147\n",
      "가족 스릴러 -0.05539377\n",
      "가족 애니메이션 0.70400196\n",
      "가족 액션 0.59249395\n",
      "가족 어드벤처 0.4320294\n",
      "가족 전쟁 1.034723\n",
      "가족 코미디 -0.26177162\n",
      "가족 판타지 0.6800401\n",
      "공연 공포(호러) -0.5824932\n",
      "공연 기타 0.39789054\n",
      "공연 다큐멘터리 0.53230387\n",
      "공연 드라마 -0.88250506\n",
      "공연 멜로로맨스 -0.9326885\n",
      "공연 뮤지컬 0.61355156\n",
      "공연 미스터리 -0.6660126\n",
      "공연 범죄 -0.09781527\n",
      "공연 사극 -0.5826984\n",
      "공연 서부극(웨스턴) -0.22469538\n",
      "공연 성인물(에로) -0.823668\n",
      "공연 스릴러 -0.67786914\n",
      "공연 애니메이션 0.27215105\n",
      "공연 액션 -0.35639358\n",
      "공연 어드벤처 -0.77468354\n",
      "공연 전쟁 0.46380043\n",
      "공연 코미디 -1.1325139\n",
      "공연 판타지 -0.26260033\n",
      "공포(호러) 기타 0.60098934\n",
      "공포(호러) 다큐멘터리 0.73182136\n",
      "공포(호러) 드라마 -0.3271435\n",
      "공포(호러) 멜로로맨스 -0.7006197\n",
      "공포(호러) 뮤지컬 0.6685927\n",
      "공포(호러) 미스터리 -0.45979542\n",
      "공포(호러) 범죄 0.47822338\n",
      "공포(호러) 사극 0.54850286\n",
      "공포(호러) 서부극(웨스턴) 0.61598206\n",
      "공포(호러) 성인물(에로) -0.28091618\n",
      "공포(호러) 스릴러 -0.44266078\n",
      "공포(호러) 애니메이션 0.51978743\n",
      "공포(호러) 액션 0.30802545\n",
      "공포(호러) 어드벤처 0.08298768\n",
      "공포(호러) 전쟁 0.697783\n",
      "공포(호러) 코미디 -0.7009078\n",
      "공포(호러) 판타지 0.51778513\n",
      "기타 다큐멘터리 0.47466826\n",
      "기타 드라마 -0.9269813\n",
      "기타 멜로로맨스 -0.8181709\n",
      "기타 뮤지컬 -0.35987744\n",
      "기타 미스터리 -0.59565586\n",
      "기타 범죄 -0.3046417\n",
      "기타 사극 -0.4316939\n",
      "기타 서부극(웨스턴) -0.39188603\n",
      "기타 성인물(에로) -0.8156515\n",
      "기타 스릴러 -0.5888604\n",
      "기타 애니메이션 -0.35106114\n",
      "기타 액션 -0.42647424\n",
      "기타 어드벤처 -0.74372673\n",
      "기타 전쟁 -0.25872728\n",
      "기타 코미디 -0.85693026\n",
      "기타 판타지 -0.58797807\n",
      "다큐멘터리 드라마 -0.9611234\n",
      "다큐멘터리 멜로로맨스 -0.8561485\n",
      "다큐멘터리 뮤지컬 -0.51967925\n",
      "다큐멘터리 미스터리 -0.6983533\n",
      "다큐멘터리 범죄 -0.42425072\n",
      "다큐멘터리 사극 -0.56615\n",
      "다큐멘터리 서부극(웨스턴) -0.52631676\n",
      "다큐멘터리 성인물(에로) -0.84165704\n",
      "다큐멘터리 스릴러 -0.6737728\n",
      "다큐멘터리 애니메이션 -0.488876\n",
      "다큐멘터리 액션 -0.54972494\n",
      "다큐멘터리 어드벤처 -0.88427895\n",
      "다큐멘터리 전쟁 -0.41928348\n",
      "다큐멘터리 코미디 -0.92656857\n",
      "다큐멘터리 판타지 -0.74428517\n",
      "드라마 멜로로맨스 -0.53638566\n",
      "드라마 뮤지컬 1.0098506\n",
      "드라마 미스터리 0.026214313\n",
      "드라마 범죄 0.5268834\n",
      "드라마 사극 0.80914515\n",
      "드라마 서부극(웨스턴) 0.850666\n",
      "드라마 성인물(에로) -0.028886272\n",
      "드라마 스릴러 -0.06470679\n",
      "드라마 애니메이션 0.81176484\n",
      "드라마 액션 0.40209737\n",
      "드라마 어드벤처 0.48878127\n",
      "드라마 전쟁 0.8411996\n",
      "드라마 코미디 -0.3184222\n",
      "드라마 판타지 0.8392505\n",
      "멜로로맨스 뮤지컬 0.95761925\n",
      "멜로로맨스 미스터리 0.5377435\n",
      "멜로로맨스 범죄 0.8564802\n",
      "멜로로맨스 사극 0.8988525\n",
      "멜로로맨스 서부극(웨스턴) 0.94730765\n",
      "멜로로맨스 성인물(에로) 0.6611544\n",
      "멜로로맨스 스릴러 0.414088\n",
      "멜로로맨스 애니메이션 0.75046456\n",
      "멜로로맨스 액션 0.74225277\n",
      "멜로로맨스 어드벤처 0.63827753\n",
      "멜로로맨스 전쟁 0.9146628\n",
      "멜로로맨스 코미디 0.37583584\n",
      "멜로로맨스 판타지 0.8117406\n",
      "뮤지컬 미스터리 -0.70079887\n",
      "뮤지컬 범죄 -0.19100405\n",
      "뮤지컬 사극 -0.7446185\n",
      "뮤지컬 서부극(웨스턴) -0.46315768\n",
      "뮤지컬 성인물(에로) -0.910166\n",
      "뮤지컬 스릴러 -0.6952384\n",
      "뮤지컬 애니메이션 0.1909445\n",
      "뮤지컬 액션 -0.42587838\n",
      "뮤지컬 어드벤처 -0.97475165\n",
      "뮤지컬 전쟁 0.12867223\n",
      "뮤지컬 코미디 -1.1795354\n",
      "뮤지컬 판타지 -0.48920473\n",
      "미스터리 범죄 0.82687676\n",
      "미스터리 사극 0.64290845\n",
      "미스터리 서부극(웨스턴) 0.71649754\n",
      "미스터리 성인물(에로) -0.04267071\n",
      "미스터리 스릴러 -0.32680583\n",
      "미스터리 애니메이션 0.5347525\n",
      "미스터리 액션 0.6627565\n",
      "미스터리 어드벤처 0.29223102\n",
      "미스터리 전쟁 0.76394683\n",
      "미스터리 코미디 -0.24160793\n",
      "미스터리 판타지 0.5245054\n",
      "범죄 사극 0.02563639\n",
      "범죄 서부극(웨스턴) 0.06099925\n",
      "범죄 성인물(에로) -0.54594123\n",
      "범죄 스릴러 -1.0084763\n",
      "범죄 애니메이션 0.2182\n",
      "범죄 액션 -0.65366745\n",
      "범죄 어드벤처 -0.36903924\n",
      "범죄 전쟁 0.32446003\n",
      "범죄 코미디 -0.77276075\n",
      "범죄 판타지 -0.06439201\n",
      "사극 서부극(웨스턴) 0.1716066\n",
      "사극 성인물(에로) -0.75243187\n",
      "사극 스릴러 -0.6565166\n",
      "사극 애니메이션 0.31960273\n",
      "사극 액션 -0.30841687\n",
      "사극 어드벤처 -0.73599005\n",
      "사극 전쟁 0.7090658\n",
      "사극 코미디 -1.1149752\n",
      "사극 판타지 -0.16499053\n",
      "서부극(웨스턴) 성인물(에로) -0.7725263\n",
      "서부극(웨스턴) 스릴러 -0.7273918\n",
      "서부극(웨스턴) 애니메이션 0.28341696\n",
      "서부극(웨스턴) 액션 -0.36561233\n",
      "서부극(웨스턴) 어드벤처 -0.75486076\n",
      "서부극(웨스턴) 전쟁 0.56709987\n",
      "서부극(웨스턴) 코미디 -1.1750349\n",
      "서부극(웨스턴) 판타지 -0.19537546\n",
      "성인물(에로) 스릴러 -0.05094701\n",
      "성인물(에로) 애니메이션 0.6861757\n",
      "성인물(에로) 액션 0.39177218\n",
      "성인물(에로) 어드벤처 0.33910778\n",
      "성인물(에로) 전쟁 0.7842093\n",
      "성인물(에로) 코미디 -0.18604521\n",
      "성인물(에로) 판타지 0.6320712\n",
      "스릴러 애니메이션 0.54335624\n",
      "스릴러 액션 0.7921013\n",
      "스릴러 어드벤처 0.3284939\n",
      "스릴러 전쟁 0.7810006\n",
      "스릴러 코미디 -0.08743554\n",
      "스릴러 판타지 0.51849717\n",
      "애니메이션 액션 -0.35800806\n",
      "애니메이션 어드벤처 -0.650159\n",
      "애니메이션 전쟁 -0.11836905\n",
      "애니메이션 코미디 -0.8030081\n",
      "애니메이션 판타지 -0.46442893\n",
      "액션 어드벤처 -0.19972858\n",
      "액션 전쟁 0.6231738\n",
      "액션 코미디 -0.6909129\n",
      "액션 판타지 0.14671081\n",
      "어드벤처 전쟁 0.8550388\n",
      "어드벤처 코미디 -0.8745768\n",
      "어드벤처 판타지 0.9111149\n",
      "전쟁 코미디 -1.0743554\n",
      "전쟁 판타지 -0.44193757\n",
      "코미디 판타지 1.031009\n"
     ]
    }
   ],
   "source": [
    "for i in range(len(genre_name)-1):\n",
    "    for j in range(i+1, len(genre_name)):\n",
    "        print(genre_name[i], genre_name[j],matrix[i][j])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4991a006",
   "metadata": {},
   "source": [
    "## WEAT Score가 0.8 이상의 경우"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "id": "ae868702",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SF 가족 -0.8246204\n",
      "SF 공포(호러) -0.80804527\n",
      "SF 멜로로맨스 -0.8635448\n",
      "SF 어드벤처 -0.9094462\n",
      "SF 코미디 -1.044537\n",
      "가족 공연 1.0354536\n",
      "가족 뮤지컬 1.0159457\n",
      "가족 사극 0.98022985\n",
      "가족 서부극(웨스턴) 1.1477699\n",
      "가족 전쟁 1.034723\n",
      "공연 드라마 -0.88250506\n",
      "공연 멜로로맨스 -0.9326885\n",
      "공연 성인물(에로) -0.823668\n",
      "공연 코미디 -1.1325139\n",
      "기타 드라마 -0.9269813\n",
      "기타 멜로로맨스 -0.8181709\n",
      "기타 성인물(에로) -0.8156515\n",
      "기타 코미디 -0.85693026\n",
      "다큐멘터리 드라마 -0.9611234\n",
      "다큐멘터리 멜로로맨스 -0.8561485\n",
      "다큐멘터리 성인물(에로) -0.84165704\n",
      "다큐멘터리 어드벤처 -0.88427895\n",
      "다큐멘터리 코미디 -0.92656857\n",
      "드라마 뮤지컬 1.0098506\n",
      "드라마 사극 0.80914515\n",
      "드라마 서부극(웨스턴) 0.850666\n",
      "드라마 애니메이션 0.81176484\n",
      "드라마 전쟁 0.8411996\n",
      "드라마 판타지 0.8392505\n",
      "멜로로맨스 뮤지컬 0.95761925\n",
      "멜로로맨스 범죄 0.8564802\n",
      "멜로로맨스 사극 0.8988525\n",
      "멜로로맨스 서부극(웨스턴) 0.94730765\n",
      "멜로로맨스 전쟁 0.9146628\n",
      "멜로로맨스 판타지 0.8117406\n",
      "뮤지컬 성인물(에로) -0.910166\n",
      "뮤지컬 어드벤처 -0.97475165\n",
      "뮤지컬 코미디 -1.1795354\n",
      "미스터리 범죄 0.82687676\n",
      "범죄 스릴러 -1.0084763\n",
      "사극 코미디 -1.1149752\n",
      "서부극(웨스턴) 코미디 -1.1750349\n",
      "애니메이션 코미디 -0.8030081\n",
      "어드벤처 전쟁 0.8550388\n",
      "어드벤처 코미디 -0.8745768\n",
      "어드벤처 판타지 0.9111149\n",
      "전쟁 코미디 -1.0743554\n",
      "코미디 판타지 1.031009\n"
     ]
    }
   ],
   "source": [
    "for i in range(len(genre_name)-1):\n",
    "    for j in range(i+1, len(genre_name)):\n",
    "        if (matrix[i][j]<=-0.8) or (matrix[i][j]>=0.8) :\n",
    "            print(genre_name[i], genre_name[j],matrix[i][j])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "id": "3953f1d3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: >"
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2000x1500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np; \n",
    "import seaborn as sns; \n",
    "import matplotlib.pyplot as plt\n",
    "np.random.seed(0)\n",
    "\n",
    "# 한글 지원 폰트\n",
    "sns.set(font='Malgun Gothic')\n",
    "\n",
    "# 마이너스 부호 \n",
    "\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "plt.figure(figsize=(20,15))\n",
    "ax = sns.heatmap(matrix, xticklabels=genre_name, yticklabels=genre_name, annot=True,  cmap='RdYlGn_r')\n",
    "ax"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2066ba1d",
   "metadata": {},
   "source": [
    "## 평가\n",
    "\n",
    "1. 기존의 단어와 tfidf 값까지 같이 출력하였다. 단어:반도수 사전을 만들어 값들과 비교해보았다.   \n",
    "    -> 일정 빈도수 이상의 단어를 제외시키기 위함.\n",
    "    \n",
    "    \n",
    "2. 빈도수가 많더라도 vectorizer안에서 불용어처리를 하여 리스트에 담기지 않은 단어도 보였다.   \n",
    "\n",
    "\n",
    "3. attribute를 대표하지 않음에도 단어 빈도수가 높은 단어들은 tfidf값이 높아져 리스트에 포함된 것을 발견했다.    \n",
    "    -> 모든 문서에서 자주 사용되는 단어임에도 tfidf값이 높아진 것을 보아 idf값이 낮아도 빈도수가 상당히 많거나 txt파일을 영화 단위가아닌 시놉시스 단위로 묶어서 생긴 문제라고 생각함.\n",
    "\n",
    "따라서 문서가 많지 않기 때문에 문서별로 상위에 포함된 단어들을 제외시키기로함.\n",
    "\n",
    "WEAT Score 결과로 sf,액션,전쟁,판타지,공연,기타,사극 영화들은 일반(상업)영화 쪽에 편향이 있었고,      \n",
    "가족,드라마, 멜로로맨스 등이 예술 영화쪽으로 편향이 있었다.   \n",
    "의외로 성인물(에로) 다른것들과 비교해서 예술영화쪽으로 편향이 있었다.   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "06d88250",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.15"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}