{"id":688,"date":"2019-02-02T13:10:01","date_gmt":"2019-02-02T04:10:01","guid":{"rendered":"https:\/\/tnishimaki.com\/?p=688"},"modified":"2025-06-09T20:20:53","modified_gmt":"2025-06-09T11:20:53","slug":"python%e8%87%aa%e7%84%b6%e8%a8%80%e8%aa%9e%e5%87%a6%e7%90%86%e3%80%9c%ef%bc%92%e6%96%87%e7%ab%a0%e3%81%ae%e9%a1%9e%e4%bc%bc%e5%ba%a6%e3%80%9c","status":"publish","type":"post","link":"https:\/\/analysis-navi.com\/?p=688","title":{"rendered":"Python\u3067\u6587\u7ae0\u306e\u985e\u4f3c\u5ea6\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u301cTF-IDF\u3068cos\u985e\u4f3c\u5ea6\u301c"},"content":{"rendered":"\n<p>Python\u3067\u30012\u3064\u306e\u6587\u7ae0\u306e\u985e\u4f3c\u5ea6\u8a08\u7b97\u3092\u3057\u3066\u307f\u307e\u3059\u3002<br>\u7406\u8ad6\u7de8\u306f\u4ee5\u4e0b\u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed\"><div class=\"wp-block-embed__wrapper\">\nhttps:\/\/analysis-navi.com\/?p=569\n<\/div><\/figure>\n\n\n\n<p>\u4eca\u56de\u306f\u4f8b\u984c\u3068\u3057\u3066\u3001\u4ee5\u4e0b\u306e3\u3064\u306e\u6587\u7ae0\u306b\u3064\u3044\u3066\u3001\u305d\u308c\u305e\u308c\u306e\u985e\u4f3c\u5ea6\u3092\u8a08\u7b97\u3057\u3066\u307f\u307e\u3059\u3002<br>\u6587\u7ae0A\u300c\u79c1\u306f\u72ac\u304c\u597d\u304d\u3067\u3059\u3002\u300d<br>\u6587\u7ae0B\u300c\u79c1\u306f\u72ac\u304c\u5acc\u3044\u3067\u3059\u3002\u300d<br>\u6587\u7ae0C\u300c\u79c1\u306f\u72ac\u306e\u3053\u3068\u304c\u3068\u3066\u3082\u597d\u304d\u3067\u3059\u3002\u300d<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u5f62\u614b\u7d20\u89e3\u6790<\/h2>\n\n\n\n<p>\u6587\u7ae0\u3092\u5358\u8a9e\u3054\u3068\u306b\u30d0\u30e9\u30d0\u30e9\u306b\u3059\u308b\u300c\u5f62\u614b\u7d20\u89e3\u6790\u300d\u3092\u884c\u3046\u30d1\u30c3\u30b1\u30fc\u30b8\u306fMeCab\u3001Janome\u3001\u306a\u3069\u5e7e\u3064\u304b\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u3044\u305a\u308c\u3082\u7d20\u6674\u3089\u3057\u3044\u30d1\u30c3\u30b1\u30fc\u30b8\u3067\u3001\u5927\u304d\u304f\u9055\u3044\u306f\u7121\u3044\u306e\u3067\u3059\u304c\u3001<strong><span style=\"background-color: #87cefa;\">Windows\u74b0\u5883\u3067\u306fJanome\u304c\u6700\u3082\u30b9\u30e0\u30fc\u30ba\u306b\u4f7f\u3048\u308b\u3088\u3046\u3067\u3059\u3002<\/span><\/strong><br>\uff08Mac,Linux\u3067\u306f\u3069\u308c\u3067\u3082\u5909\u308f\u308a\u306a\u3044\u3088\u3046\u306b\u601d\u3044\u307e\u3059\u3002\uff09<br>\u3053\u3053\u3067\u306f\u3001\u8a66\u3057\u306bJanome\u3092\u4f7f\u3063\u3066\u307f\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u3001\u6587\u5b57\u5217\u3092\u5165\u529b\u3059\u308b\u3068\u3001\u5358\u8a9e\u3054\u3068\u306b\u5206\u65ad\u3055\u308c\u305f\u3082\u306e\u304c\u30ea\u30b9\u30c8\u306b\u306a\u3063\u3066\u8fd4\u3063\u3066\u304f\u308b\u95a2\u6570\u3067\u3059\u3002<br>janome\u30d1\u30c3\u30b1\u30fc\u30b8\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3092\u5fd8\u308c\u305a\u306b\u3002<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">def wakachi(text):\n    from janome.tokenizer import Tokenizer\n    t = Tokenizer()\n    tokens = t.tokenize(text)\n    docs=[]\n    for token in tokens:\n        docs.append(token.surface)\n    return docs<\/pre>\n\n\n\n<p>token\u306b\u306f\u305d\u306e\u54c1\u8a5e\u3084\u8aad\u307f\u65b9\u3082\u7d10\u4ed8\u3044\u3066\u3044\u307e\u3059\u306e\u3067\u3001token.surface\u3068\u3059\u308b\u3068\u5358\u8a9e\u3060\u3051\u62bd\u51fa\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u6587\u7ae0\u306e\u30d9\u30af\u30c8\u30eb\u5316<\/h2>\n\n\n\n<p>\u5358\u8a9e\u3092\u5206\u65ad\u3057\u305f\u3089\u3001\u6b21\u306f\u30d9\u30af\u30c8\u30eb\u5316\u3059\u308b\u95a2\u6570\u3092\u4f5c\u308a\u307e\u3059\u3002<br>\u3053\u308c\u306b\u306f\u3001sklearn\u5185\u306eTfidfVectorizer\u3068\u3044\u3046\u30e1\u30bd\u30c3\u30c9\u304c\u4f7f\u3048\u307e\u3059\u3002<\/p>\n\n\n\n<p>TfidfVectorizer\u3092\u4f7f\u3046\u3068\u3001<a href=\"https:\/\/analysis-navi.com\/?p=569\">\u7406\u8ad6\u7d39\u4ecb\u306e\u6642\u306e\u8a18\u4e8b<\/a>\u306e\u3088\u3046\u306b\u5358\u7d14\u306b\u5358\u8a9e\u304c\u51fa\u305f\u304b\u51fa\u306a\u3044\u304b\u3067\u30d9\u30af\u30c8\u30eb\u5316\u3059\u308b\u306e\u3067\u306f\u306a\u304f\u3001\u3072\u3068\u3064\u306e\u6587\u7ae0\u306e\u4e2d\u306b\u4f55\u56de\u5358\u8a9e\u304c\u51fa\u305f\u304b\uff08TF\u5024\uff09\u3001\u30c7\u30fc\u30bf\u5168\u4f53\u306e\u4e2d\u306e\u5358\u8a9e\u306e\u51fa\u73fe\u56de\u6570\u306f\u3069\u308c\u3060\u3051\u304b\uff08IDF\u5024\uff09\u3068\u3044\u3046\u3053\u3068\u3082\u8003\u616e\u306b\u5165\u308c\u3066\u8a08\u7b97\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u95a2\u6570\u306f\u4ee5\u4e0b\u3067\u3059\u3002<br>\u5165\u529b\u306f\u6587\u7ae0\u306e\u30ea\u30b9\u30c8(\u4eca\u56de\u306e\u5834\u5408\u306f3\u3064)\u3001\u51fa\u529b\u306f\u6570\u5024\u30d9\u30af\u30c8\u30eb\u306e\u914d\u5217\u3067\u3059\u3002<br>\u3053\u306e\u95a2\u6570\u306e\u4e2d\u3067\u3001\u4e0a\u8a18wakachi\u95a2\u6570\u3092\u547c\u3093\u3067\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">def vecs_array(documents):\n    from sklearn.feature_extraction.text import TfidfVectorizer\n    docs = np.array(documents)\n    vectorizer = TfidfVectorizer(analyzer=wakachi,binary=True,use_idf=False)\n    vecs = vectorizer.fit_transform(docs)\n    return vecs.toarray()<\/pre>\n\n\n\n<p>TfidfVectorizer\u95a2\u6570\u306f\u3001\u521d\u671f\u8a2d\u5b9a\u3067\u306fTF\u5024\u3082IDF\u5024\u3082\u8003\u616e\u306b\u5165\u308c\u308b\u8a2d\u5b9a\u306b\u306a\u3063\u3066\u3044\u307e\u3059\u3002<br><strong><span style=\"background-color: #87cefa;\">TF\u5024\u3092\u8003\u3048\u305f\u304f\u306a\u3051\u308c\u3070(\u3042\u308b\u6587\u7ae0\u306b\u5358\u8a9e\u304c\u300c\u51fa\u305f\u300d\u300c\u51fa\u306a\u3044\u300d\u306e2\u5024\u306b\u3057\u305f\u3051\u308c\u3070)\u3001\u5f15\u6570\u306bbinary=True\u3092\u8a2d\u5b9a<\/span><\/strong>\u3057\u307e\u3059\u3002<br><strong><span style=\"background-color: #87cefa;\">IDF\u5024\u3092\u8003\u3048\u305f\u304f\u306a\u3051\u308c\u3070\uff08\u6587\u7ae0\u5168\u4f53\u306e\u5358\u8a9e\u306e\u983b\u5ea6\u3092\u8003\u616e\u3057\u305f\u304f\u306a\u3051\u308c\u3070\uff09\u3001\u5f15\u6570\u306buse_idf=False\u3092\u8a2d\u5b9a<\/span><\/strong>\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u985e\u4f3c\u5ea6\u306e\u8a08\u7b97<\/h2>\n\n\n\n<p>\u3055\u3066\u3001\u6587\u7ae0\u304b\u3089\u30d9\u30af\u30c8\u30eb\u306b\u3059\u308b\u95a2\u6570\u304c\u51fa\u6765\u305f\u306e\u3067\u3001\u6700\u5f8c\u306b\u30b3\u30b5\u30a4\u30f3\u985e\u4f3c\u5ea6\u3092\u8a08\u7b97\u3057\u307e\u3057\u3087\u3046\u3002<br>\u3053\u308c\u306fsklearn\u306ecosine_similarity\u3068\u3044\u3046\u3001\u305d\u306e\u307e\u3093\u307e\u306e\u540d\u79f0\u306e\u95a2\u6570\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">from sklearn.metrics.pairwise import cosine_similarity\ncs_array = np.round(cosine_similarity(vecs_array(docs), vecs_array(docs)),3)<\/pre>\n\n\n\n<p>docs\u306b\u306f\u6587\u7ae0\u304c\u30ea\u30b9\u30c8\u3067\u683c\u7d0d\u3055\u308c\u3066\u3044\u308b\u524d\u63d0\u3067\u3059\u3002<br>\u307e\u305f\u3001numpy\u306eround\u30e1\u30bd\u30c3\u30c9\u3067\u3001\u5c0f\u6570\u70b9\u4ee5\u4e0b3\u6841\u307e\u3067\u3067\u56db\u6368\u4e94\u5165\u3057\u3066\u3044\u307e\u3059\u3002<br>\u3053\u308c\u3067\u3001\u300c\u5f62\u614b\u7d20\u3092\u5206\u65ad\u3057\u3066\u3001\u30d9\u30af\u30c8\u30eb\u5316\u3057\u3066\u3001\u985e\u4f3c\u5ea6\u3092\u8a08\u7b97\u3059\u308b\u300d\u51e6\u7406\u304c\u3067\u304d\u305d\u3046\u3067\u3059\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u30bd\u30fc\u30b9\u5168\u4f53<\/h2>\n\n\n\n<p>\u4e0a\u8a18\u3092\u3059\u3079\u3066\u7e4b\u3052\u308b\u3068\u4ee5\u4e0b\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\"># -*- coding: utf-8 -*-\nimport numpy as np\n\n#\u308f\u304b\u3061\u66f8\u304d\u95a2\u6570\ndef wakachi(text):\n    from janome.tokenizer import Tokenizer\n    t = Tokenizer()\n    tokens = t.tokenize(text)\n    docs=[]\n    for token in tokens:\n        docs.append(token.surface)\n    return docs\n\n#\u6587\u66f8\u30d9\u30af\u30c8\u30eb\u5316\u95a2\u6570\ndef vecs_array(documents):\n    from sklearn.feature_extraction.text import TfidfVectorizer\n\n    docs = np.array(documents)\n    vectorizer = TfidfVectorizer(analyzer=wakachi,binary=True,use_idf=False)\n    vecs = vectorizer.fit_transform(docs)\n    return vecs.toarray()\n\nif __name__ == '__main__':\n    from sklearn.metrics.pairwise import cosine_similarity\n    docs = [\n    \"\u79c1\u306f\u72ac\u304c\u597d\u304d\u3067\u3059\u3002\",\n    \"\u79c1\u306f\u72ac\u304c\u5acc\u3044\u3067\u3059\u3002\",\n    \"\u79c1\u306f\u72ac\u306e\u3053\u3068\u304c\u3068\u3066\u3082\u597d\u304d\u3067\u3059\u3002\"]\n\n    #\u985e\u4f3c\u5ea6\u884c\u5217\u4f5c\u6210\n    cs_array = np.round(cosine_similarity(vecs_array(docs), vecs_array(docs)),3)\n    print(cs_array)<\/pre>\n\n\n\n<p>\u4e0a\u8a18\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u5b9f\u884c\u3059\u308b\u3068\u3001<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">[[1.    0.857 0.837]\n [0.857 1.    0.717]\n [0.837 0.717 1.   ]]<\/pre>\n\n\n\n<p>\u4e0a\u8a18\u306e\u3088\u3046\u306b\u51fa\u529b\u3055\u308c\u307e\u3059\u3002<br>\u3064\u307e\u308a\u3001<br>\u300c\u79c1\u306f\u72ac\u304c\u597d\u304d\u3067\u3059\u3002\u300d\u3068\u300c\u79c1\u306f\u72ac\u304c\u5acc\u3044\u3067\u3059\u3002\u300d\u306e\u985e\u4f3c\u5ea6\u306f\u7d040.857\u3001<br>\u300c\u79c1\u306f\u72ac\u304c\u597d\u304d\u3067\u3059\u3002\u300d\u3068\u300c\u79c1\u306f\u72ac\u306e\u3053\u3068\u304c\u3068\u3066\u3082\u597d\u304d\u3067\u3059\u3002\u300d\u306e\u985e\u4f3c\u5ea6\u306f\u7d040.837\u3001<br>\u300c\u79c1\u306f\u72ac\u304c\u5acc\u3044\u3067\u3059\u3002\u300d\u3068\u300c\u79c1\u306f\u72ac\u306e\u3053\u3068\u304c\u3068\u3066\u3082\u597d\u304d\u3067\u3059\u3002\u300d\u306e\u985e\u4f3c\u5ea6\u306f\u7d040.717\u3001<br>\u3068\u8a08\u7b97\u3055\u308c\u307e\u3057\u305f\u3002<br>\u5bfe\u89d2\u7dda\u306f\u540c\u3058\u6587\u7ae0\u540c\u58eb\u306e\u6bd4\u8f03\u306a\u306e\u3067\u3001\u3059\u3079\u3066\u985e\u4f3c\u5ea6=1(\u5b8c\u5168\u4e00\u81f4)\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u3053\u3046\u3057\u3066\u307f\u308b\u3068\u3001\u6700\u3082\u985e\u4f3c\u5ea6\u306e\u9ad8\u3044\u6587\u7ae0\u306e\u30da\u30a2\u306f\u300c\u79c1\u306f\u72ac\u304c\u597d\u304d\u3067\u3059\u3002\u300d\u3068\u300c\u79c1\u306f\u72ac\u304c\u5acc\u3044\u3067\u3059\u3002\u300d\u3067\u3042\u308b\u3053\u3068\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u610f\u5473\u3068\u3057\u3066\u306f\u771f\u9006\u3067\u3059\u304c\u3001\u4f7f\u308f\u308c\u3066\u3044\u308b\u5358\u8a9e\u306f\u307b\u307c\u4e00\u81f4\u3057\u3066\u3044\u308b\u306e\u3067\u985e\u4f3c\u5ea6\u304c\u9ad8\u304f\u306a\u3063\u3066\u3057\u307e\u3046\u306e\u3067\u3059\u306d\u3002<br>\u78ba\u304b\u306b<strong><span style=\"background-color: #87cefa;\">\u3053\u306e\u65b9\u6cd5\u3067\u306f\u3001\u305d\u306e\u5358\u8a9e\u306e\u610f\u5473\u307e\u3067\u306f\u89e3\u91c8\u3067\u304d\u306a\u3044<\/span><\/strong>\u306e\u3067\u3001\u81f4\u3057\u65b9\u306a\u3044\u7d50\u679c\u3068\u8a00\u3048\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u8fd1\u5e74\u306f\u305d\u3046\u3044\u3063\u305f\u300c\u610f\u5473\u300d\u307e\u3067\u6349\u3048\u3089\u308c\u308b\u30fb\u63a8\u5b9a\u3067\u304d\u308b\u65b9\u6cd5\u3082\u8272\u3005\u3068\u3042\u308b\u306e\u3067\u3059\u304c\u3001\u4eca\u56de\u3054\u7d39\u4ecb\u3057\u305f\u624b\u6cd5\u304c\u305d\u306e\u6839\u5e95\u3068\u306a\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u610f\u5473\u307e\u3067\u8003\u616e\u306b\u5165\u308c\u305f\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u306e\u7406\u8ad6\u306b\u3054\u8208\u5473\u304c\u3042\u308c\u3070\u3001\u4ee5\u4e0b\u306e\u66f8\u7c4d\u306a\u3069\u304c\u304a\u3059\u3059\u3081\u3067\u3059\u3002<br><div id=\"rinkerid1685\" class=\"yyi-rinker-contents  yyi-rinker-postid-1685 yyi-rinker-img-m yyi-rinker-catid-129 \">\n\t<div class=\"yyi-rinker-box\">\n\t\t<div class=\"yyi-rinker-image\">\n\t\t\t\t\t\t\t<a href=\"https:\/\/hb.afl.rakuten.co.jp\/hgc\/g00q0723.tfe9z33e.g00q0723.tfea03b0\/Rinker_i_20190601163932?pc=https%3A%2F%2Fitem.rakuten.co.jp%2Fbook%2F15381732%2F&#038;m=http%3A%2F%2Fm.rakuten.co.jp%2Fbook%2Fi%2F19035283%2F&#038;rafcid=wsc_i_is_1022852054992484221\" rel=\"nofollow\" class=\"yyi-rinker-tracking\"  data-click-tracking=\"rakuten_img 1685 \u30bc\u30ed\u304b\u3089\u4f5c\u308bDeep Learning 2 \u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u7de8 [ \u658e\u85e4 \u5eb7\u6bc5 ]\" data-vars-click-id=\"rakuten_img 1685 \u30bc\u30ed\u304b\u3089\u4f5c\u308bDeep Learning 2 \u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u7de8 [ \u658e\u85e4 \u5eb7\u6bc5 ]\"><img decoding=\"async\" src=\"https:\/\/thumbnail.image.rakuten.co.jp\/@0_mall\/book\/cabinet\/8369\/9784873118369.jpg?_ex=128x128\"  width=\"128\" height=\"128\" class=\"yyi-rinker-main-img\" 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\u4eca\u56de\u306f\u4f8b\u984c\u3068\u3057\u3066\u3001\u4ee5\u4e0b\u306e3\u3064\u306e\u6587\u7ae0\u306b\u3064\u3044\u3066\u3001\u305d\u308c\u305e\u308c\u306e\u985e\u4f3c\u5ea6\u3092\u8a08\u7b97\u3057\u3066\u307f\u307e\u3059\u3002\u6587\u7ae0A\u300c\u79c1\u306f\u72ac\u304c\u597d\u304d\u3067\u3059\u3002\u300d\u6587\u7ae0B\u300c\u79c1\u306f\u72ac\u304c\u5acc\u3044\u3067\u3059\u3002\u300d\u6587\u7ae0 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":5042,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"swell_btn_cv_data":"","vkexunit_cta_each_option":"","footnotes":""},"categories":[129],"tags":[100,134],"class_list":["post-688","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-study","tag-nlp","tag-python"],"_links":{"self":[{"href":"https:\/\/analysis-navi.com\/index.php?rest_route=\/wp\/v2\/posts\/688","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/analysis-navi.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/analysis-navi.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/analysis-navi.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/analysis-navi.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=688"}],"version-history":[{"count":27,"href":"https:\/\/analysis-navi.com\/index.php?rest_route=\/wp\/v2\/posts\/688\/revisions"}],"predecessor-version":[{"id":5106,"href":"https:\/\/analysis-navi.com\/index.php?rest_route=\/wp\/v2\/posts\/688\/revisions\/5106"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/analysis-navi.com\/index.php?rest_route=\/wp\/v2\/media\/5042"}],"wp:attachment":[{"href":"https:\/\/analysis-navi.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=688"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/analysis-navi.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=688"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/analysis-navi.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=688"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}