{"id":76241,"date":"2026-02-22T01:33:18","date_gmt":"2026-02-21T17:33:18","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/76241.html"},"modified":"2026-02-22T01:33:18","modified_gmt":"2026-02-21T17:33:18","slug":"tf-idf-%e7%bb%99%e5%8d%95%e8%af%8d%e5%8f%91%e6%94%be%e9%87%8d%e8%a6%81%e6%80%a7%e5%87%86%e8%80%83%e8%af%81","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/76241.html","title":{"rendered":"TF-IDF \u2014\u2014 \u7ed9\u5355\u8bcd\u53d1\u653e\u201c\u91cd\u8981\u6027\u51c6\u8003\u8bc1\u201d"},"content":{"rendered":"<h3>TF-IDF \u2014\u2014 \u7ed9\u5355\u8bcd\u53d1\u653e\u201c\u91cd\u8981\u6027\u51c6\u8003\u8bc1\u201d<\/h3>\n<p>\u5728\u8bcd\u888b\u6a21\u578b\u4e2d&#xff0c;\u50cf\u201c\u7684\u201d\u3001\u201c\u5728\u201d\u3001\u201c\u662f\u201d\u8fd9\u79cd\u9ad8\u9891\u8bcd\u4f1a\u5360\u636e\u6781\u9ad8\u7684\u6570\u503c&#xff0c;\u751a\u81f3\u63a9\u76d6\u6389\u771f\u6b63\u7684\u5173\u952e\u8bcd&#xff08;\u5982\u201c\u534a\u5bfc\u4f53\u201d\u3001\u201c\u91cf\u5316\u201d&#xff09;\u3002TF-IDF \u7684\u6838\u5fc3\u903b\u8f91\u662f&#xff1a;\u5982\u679c\u4e00\u4e2a\u8bcd\u5728\u5f53\u524d\u6587\u6863\u51fa\u73b0\u5f88\u591a\u6b21&#xff0c;\u4f46\u5728\u5176\u4ed6\u6587\u6863\u91cc\u5f88\u5c11\u89c1&#xff0c;\u90a3\u5b83\u624d\u662f\u8fd9\u7bc7\u6587\u6863\u7684\u7075\u9b42\u3002<\/p>\n<hr \/>\n<h4>1. \u516c\u5f0f\u62c6\u89e3&#xff1a;\u4e24\u80a1\u529b\u91cf\u7684\u5236\u8861<\/h4>\n<p>TF-IDF \u7531\u4e24\u90e8\u5206\u4e58\u79ef\u7ec4\u6210&#xff1a;<\/p>\n<ul>\n<li>TF (Term Frequency, \u8bcd\u9891)&#xff1a;<\/li>\n<\/ul>\n<p>\u542b\u4e49&#xff1a;\u8fd9\u4e2a\u8bcd\u5728\u8fd9\u4e00\u7bc7\u91cc\u706b\u4e0d\u706b&#xff1f;<\/p>\n<ul>\n<li>IDF (Inverse Document Frequency, \u9006\u6587\u6863\u9891\u7387)&#xff1a;<\/li>\n<\/ul>\n<p>\u542b\u4e49&#xff1a;\u8fd9\u4e2a\u8bcd\u5728\u6574\u4e2a\u56fe\u4e66\u9986\u91cc\u662f\u4e0d\u662f\u201c\u70c2\u5927\u8857\u201d\u7684\u8d27\u8272&#xff1f;<\/p>\n<hr \/>\n<h4>2. Python \u5b9e\u6218&#xff1a;\u4ece\u201c\u8ba1\u6570\u201d\u8f6c\u5411\u201c\u52a0\u6743\u201d<\/h4>\n<p>\u6211\u4eec\u76f4\u63a5\u4f7f\u7528 Scikit-learn \u91cc\u7684 TfidfVectorizer\u3002\u5b83\u6bd4\u4e4b\u524d\u7684 CountVectorizer \u591a\u4e86\u4e00\u6b65\u81ea\u52a8\u8ba1\u7b97\u6743\u91cd\u7684\u8fc7\u7a0b\u3002<\/p>\n<p><span class=\"token keyword\">from<\/span> sklearn<span class=\"token punctuation\">.<\/span>feature_extraction<span class=\"token punctuation\">.<\/span>text <span class=\"token keyword\">import<\/span> TfidfVectorizer<br \/>\n<span class=\"token keyword\">import<\/span> pandas <span class=\"token keyword\">as<\/span> pd<br \/>\n<span class=\"token keyword\">import<\/span> jieba<\/p>\n<p><span class=\"token comment\"># 1. \u6a21\u62df\u8bed\u6599\u5e93&#xff1a;\u4e24\u7bc7\u5173\u4e8e\u79d1\u6280&#xff0c;\u4e00\u7bc7\u5173\u4e8e\u751f\u6d3b<\/span><br \/>\ncorpus <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><br \/>\n    <span class=\"token string\">&#034;\u4eba\u5de5\u667a\u80fd \u6539\u53d8 \u4e86 \u533b\u7597 \u884c\u4e1a&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string\">&#034;\u4eba\u5de5\u667a\u80fd \u7b97\u6cd5 \u662f \u79d1\u6280 \u7684 \u6838\u5fc3&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string\">&#034;\u4eca\u5929 \u7684 \u665a\u9910 \u5473\u9053 \u771f\u7684 \u5f88\u4e0d\u9519&#034;<\/span><br \/>\n<span class=\"token punctuation\">]<\/span><\/p>\n<p><span class=\"token comment\"># 2. \u521d\u59cb\u5316 TF-IDF \u6a21\u578b<\/span><br \/>\n<span class=\"token comment\"># stop_words: \u505c\u7528\u8bcd\u8fc7\u6ee4&#xff08;\u8fd9\u91cc\u624b\u52a8\u6f14\u793a&#xff0c;\u751f\u4ea7\u73af\u5883\u5efa\u8bae\u52a0\u8f7d\u5916\u90e8\u8bcd\u8868&#xff09;<\/span><br \/>\nvectorizer <span class=\"token operator\">&#061;<\/span> TfidfVectorizer<span class=\"token punctuation\">(<\/span>stop_words<span class=\"token operator\">&#061;<\/span><span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;\u4e86&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;\u662f&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;\u7684&#039;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># 3. \u8ba1\u7b97\u5e76\u8f6c\u6362<\/span><br \/>\ntfidf_matrix <span class=\"token operator\">&#061;<\/span> vectorizer<span class=\"token punctuation\">.<\/span>fit_transform<span class=\"token punctuation\">(<\/span>corpus<span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># 4. \u63d0\u53d6\u7279\u5f81\u8bcd<\/span><br \/>\nfeature_names <span class=\"token operator\">&#061;<\/span> vectorizer<span class=\"token punctuation\">.<\/span>get_feature_names_out<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># 5. \u8f6c\u5316\u4e3a DataFrame \u67e5\u770b<\/span><br \/>\ndf_tfidf <span class=\"token operator\">&#061;<\/span> pd<span class=\"token punctuation\">.<\/span>DataFrame<span class=\"token punctuation\">(<\/span>tfidf_matrix<span class=\"token punctuation\">.<\/span>toarray<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> columns<span class=\"token operator\">&#061;<\/span>feature_names<span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;TF-IDF \u6743\u91cd\u77e9\u9635&#xff08;\u90e8\u5206\u6570\u636e&#xff09;&#xff1a;&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span>df_tfidf<span class=\"token punctuation\">.<\/span><span class=\"token builtin\">round<\/span><span class=\"token punctuation\">(<\/span><span class=\"token number\">3<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<hr \/>\n<h4>3. \u7ed3\u679c\u89e3\u8bfb&#xff1a;\u4e3a\u4ec0\u4e48\u5b83\u6bd4 BoW \u5f3a&#xff1f;<\/h4>\n<p>\u89c2\u5bdf\u4e0a\u9762\u7684\u77e9\u9635\u4f60\u4f1a\u53d1\u73b0&#xff1a;<\/p>\n<ul>\n<li>\u201c\u4eba\u5de5\u667a\u80fd\u201d&#xff1a;\u867d\u7136\u5728\u4e24\u7bc7\u6587\u6863\u91cc\u90fd\u51fa\u73b0\u4e86&#xff0c;\u4f46\u56e0\u4e3a\u5b83\u5728\u5e93\u4e2d\u6bd4\u8f83\u5e38\u89c1&#xff0c;\u6240\u4ee5\u5b83\u7684\u6743\u91cd\u4f1a\u88ab IDF \u9002\u5f53\u62c9\u4f4e\u3002<\/li>\n<li>\u201c\u533b\u7597\u201d&#xff1a;\u53ea\u5728\u7b2c\u4e00\u7bc7\u51fa\u73b0&#xff0c;\u5b83\u7684 IDF \u503c\u5f88\u9ad8\u3002\u5728\u7b2c\u4e00\u7bc7\u6587\u6863\u7684\u5411\u91cf\u4e2d&#xff0c;\u5b83\u7684\u6570\u503c\u4f1a\u975e\u5e38\u7a81\u51fa\u3002<\/li>\n<li>\u533a\u5206\u5ea6&#xff1a;\u901a\u8fc7 TF-IDF&#xff0c;\u6587\u6863 1 \u548c\u6587\u6863 2 \u7684\u91cd\u5fc3\u88ab\u653e\u5728\u4e86\u201c\u533b\u7597\u201d\u548c\u201c\u7b97\u6cd5\u201d\u4e0a&#xff0c;\u800c\u4e0d\u662f\u65e0\u610f\u4e49\u7684\u201c\u7684\u201d\u6216\u201c\u662f\u201d\u3002<\/li>\n<\/ul>\n<hr \/>\n<h4>4. \u5173\u952e\u53c2\u6570\u8bbe\u7f6e&#xff08;\u907f\u5751\u6307\u5357&#xff09;<\/h4>\n<p>\u5728\u5b9e\u9645\u505a Text as Data \u7814\u7a76\u65f6&#xff0c;\u4f60\u901a\u5e38\u9700\u8981\u8c03\u6574\u8fd9\u51e0\u4e2a\u5f00\u5173&#xff1a;<\/p>\n<table>\n<tr>\u53c2\u6570\u5efa\u8bae\u4f5c\u7528<\/tr>\n<tbody>\n<tr>\n<td>max_df<\/td>\n<td>\u8bbe\u4e3a 0.8<\/td>\n<td>\u8fc7\u6ee4\u6389\u5728 80% \u4ee5\u4e0a\u6587\u6863\u90fd\u51fa\u73b0\u7684\u201c\u592a\u5e38\u89c1\u8bcd\u201d\u3002<\/td>\n<\/tr>\n<tr>\n<td>min_df<\/td>\n<td>\u8bbe\u4e3a 2<\/td>\n<td>\u8fc7\u6ee4\u6389\u53ea\u51fa\u73b0\u8fc7 1 \u6b21\u7684\u201c\u5b64\u50fb\u8bcd\u201d&#xff08;\u53ef\u80fd\u662f\u9519\u522b\u5b57&#xff09;\u3002<\/td>\n<\/tr>\n<tr>\n<td>use_idf<\/td>\n<td>\u9ed8\u8ba4 True<\/td>\n<td>\u5982\u679c\u5173\u6389&#xff0c;\u5b83\u5c31\u9000\u5316\u6210\u4e86\u5e26\u5f52\u4e00\u5316\u7684\u8bcd\u888b\u6a21\u578b\u3002<\/td>\n<\/tr>\n<tr>\n<td>norm<\/td>\n<td>\u9ed8\u8ba4 &#039;l2&#039;<\/td>\n<td>\u5c06\u5411\u91cf\u957f\u5ea6\u5f52\u4e00\u5316\u4e3a 1&#xff0c;\u9632\u6b62\u957f\u6587\u7ae0\u5929\u7136\u6bd4\u77ed\u6587\u7ae0\u5f97\u5206\u9ad8\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<hr \/>\n<h4>5. \u8fd9\u4e2a\u4e3b\u9898\u7684\u201c\u5929\u82b1\u677f\u201d\u5728\u54ea\u91cc&#xff1f;<\/h4>\n<p>TF-IDF \u4f9d\u7136\u662f\u57fa\u4e8e\u5b57\u9762\u5339\u914d\u7684\u3002\u5982\u679c\u4f60\u641c\u201c\u756a\u8304\u201d&#xff0c;\u5b83\u7edd\u5bf9\u627e\u4e0d\u5230\u5305\u542b\u201c\u897f\u7ea2\u67ff\u201d\u4f46\u4e0d\u5305\u542b\u201c\u756a\u8304\u201d\u7684\u6587\u7ae0\u3002\u5b83\u61c2\u7edf\u8ba1&#xff0c;\u4f46\u4f9d\u7136\u4e0d\u61c2\u8bed\u4e49\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>TF-IDF \u2014\u2014 \u7ed9\u5355\u8bcd\u53d1\u653e\u201c\u91cd\u8981\u6027\u51c6\u8003\u8bc1\u201d<br \/>\n\u5728\u8bcd\u888b\u6a21\u578b\u4e2d&#xff0c;\u50cf\u201c\u7684\u201d\u3001\u201c\u5728\u201d\u3001\u201c\u662f\u201d\u8fd9\u79cd\u9ad8\u9891\u8bcd\u4f1a\u5360\u636e\u6781\u9ad8\u7684\u6570\u503c&#xff0c;\u751a\u81f3\u63a9\u76d6\u6389\u771f\u6b63\u7684\u5173\u952e\u8bcd&#xff08;\u5982\u201c\u534a\u5bfc\u4f53\u201d\u3001\u201c\u91cf\u5316\u201d&#xff09;\u3002TF-IDF \u7684\u6838\u5fc3\u903b\u8f91\u662f&#xff1a;\u5982\u679c\u4e00\u4e2a\u8bcd\u5728\u5f53\u524d\u6587\u6863\u51fa\u73b0\u5f88\u591a\u6b21&#xff0c;\u4f46\u5728\u5176\u4ed6\u6587\u6863\u91cc\u5f88\u5c11\u89c1&#xff0c;\u90a3\u5b83\u624d\u662f\u8fd9\u7bc7\u6587\u6863\u7684\u7075\u9b42\u30021. \u516c\u5f0f\u62c6\u89e3&#xff1a;\u4e24\u80a1\u529b\u91cf\u7684\u5236\u8861<br \/>\nTF-IDF \u7531\u4e24\u90e8\u5206\u4e58\u79ef\u7ec4\u6210&#xff1a;<br \/>\nTF (Term <\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[5333,2215],"topic":[],"class_list":["post-76241","post","type-post","status-publish","format-standard","hentry","category-server","tag-tf-idf","tag-2215"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>TF-IDF \u2014\u2014 \u7ed9\u5355\u8bcd\u53d1\u653e\u201c\u91cd\u8981\u6027\u51c6\u8003\u8bc1\u201d - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.wsisp.com\/helps\/76241.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"TF-IDF \u2014\u2014 \u7ed9\u5355\u8bcd\u53d1\u653e\u201c\u91cd\u8981\u6027\u51c6\u8003\u8bc1\u201d - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\" \/>\n<meta property=\"og:description\" content=\"TF-IDF \u2014\u2014 \u7ed9\u5355\u8bcd\u53d1\u653e\u201c\u91cd\u8981\u6027\u51c6\u8003\u8bc1\u201d \u5728\u8bcd\u888b\u6a21\u578b\u4e2d&#xff0c;\u50cf\u201c\u7684\u201d\u3001\u201c\u5728\u201d\u3001\u201c\u662f\u201d\u8fd9\u79cd\u9ad8\u9891\u8bcd\u4f1a\u5360\u636e\u6781\u9ad8\u7684\u6570\u503c&#xff0c;\u751a\u81f3\u63a9\u76d6\u6389\u771f\u6b63\u7684\u5173\u952e\u8bcd&#xff08;\u5982\u201c\u534a\u5bfc\u4f53\u201d\u3001\u201c\u91cf\u5316\u201d&#xff09;\u3002TF-IDF \u7684\u6838\u5fc3\u903b\u8f91\u662f&#xff1a;\u5982\u679c\u4e00\u4e2a\u8bcd\u5728\u5f53\u524d\u6587\u6863\u51fa\u73b0\u5f88\u591a\u6b21&#xff0c;\u4f46\u5728\u5176\u4ed6\u6587\u6863\u91cc\u5f88\u5c11\u89c1&#xff0c;\u90a3\u5b83\u624d\u662f\u8fd9\u7bc7\u6587\u6863\u7684\u7075\u9b42\u30021. \u516c\u5f0f\u62c6\u89e3&#xff1a;\u4e24\u80a1\u529b\u91cf\u7684\u5236\u8861 TF-IDF \u7531\u4e24\u90e8\u5206\u4e58\u79ef\u7ec4\u6210&#xff1a; TF (Term\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.wsisp.com\/helps\/76241.html\" \/>\n<meta property=\"og:site_name\" content=\"\u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\" \/>\n<meta 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