{"id":479277,"date":"2023-08-09T10:32:55","date_gmt":"2023-08-09T10:32:55","guid":{"rendered":""},"modified":"2023-09-05T11:18:31","modified_gmt":"2023-09-05T11:18:31","slug":"term-frequency-inverse-document-frequency-tf-idf","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/cn\/wiki\/term-frequency-inverse-document-frequency-tf-idf\/","title":{"rendered":"\u8bcd\u9891-\u9006\u6587\u6863\u9891\u7387 (TF-IDF)"},"content":{"rendered":"<p>\u8bcd\u9891-\u9006\u6587\u6863\u9891\u7387 (TF-IDF) \u662f\u4fe1\u606f\u68c0\u7d22\u548c\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4e2d\u5e7f\u6cdb\u4f7f\u7528\u7684\u6280\u672f\uff0c\u7528\u4e8e\u8bc4\u4f30\u6587\u6863\u96c6\u5408\u4e2d\u67d0\u4e2a\u672f\u8bed\u7684\u91cd\u8981\u6027\u3002\u5b83\u901a\u8fc7\u8003\u8651\u67d0\u4e2a\u8bcd\u5728\u7279\u5b9a\u6587\u6863\u4e2d\u7684\u9891\u7387\u5e76\u5c06\u5176\u4e0e\u5176\u5728\u6574\u4e2a\u8bed\u6599\u5e93\u4e2d\u7684\u51fa\u73b0\u6b21\u6570\u8fdb\u884c\u6bd4\u8f83\u6765\u5e2e\u52a9\u8861\u91cf\u8be5\u8bcd\u7684\u91cd\u8981\u6027\u3002TF-IDF \u5728\u5404\u79cd\u5e94\u7528\u4e2d\u90fd\u53d1\u6325\u7740\u81f3\u5173\u91cd\u8981\u7684\u4f5c\u7528\uff0c\u5305\u62ec\u641c\u7d22\u5f15\u64ce\u3001\u6587\u672c\u5206\u7c7b\u3001\u6587\u6863\u805a\u7c7b\u548c\u5185\u5bb9\u63a8\u8350\u7cfb\u7edf\u3002<\/p>\n<h2>\u8bcd\u9891-\u9006\u6587\u6863\u9891\u7387\uff08TF-IDF\uff09\u7684\u8d77\u6e90\u5386\u53f2\u4ee5\u53ca\u9996\u6b21\u63d0\u53ca\u5b83\u3002<\/h2>\n<p>TF-IDF \u7684\u6982\u5ff5\u53ef\u4ee5\u8ffd\u6eaf\u5230 20 \u4e16\u7eaa 70 \u5e74\u4ee3\u521d\u3002\u672f\u8bed\u201c\u8bcd\u9891\u201d\u6700\u521d\u7531 Gerard Salton \u5728\u5176\u5f00\u521b\u6027\u7684\u4fe1\u606f\u68c0\u7d22\u5de5\u4f5c\u4e2d\u63d0\u51fa\u30021972 \u5e74\uff0cSalton\u3001A. Wong \u548c CS Yang \u53d1\u8868\u4e86\u4e00\u7bc7\u9898\u4e3a\u201c\u7528\u4e8e\u81ea\u52a8\u7d22\u5f15\u7684\u5411\u91cf\u7a7a\u95f4\u6a21\u578b\u201d\u7684\u7814\u7a76\u8bba\u6587\uff0c\u4e3a\u5411\u91cf\u7a7a\u95f4\u6a21\u578b (VSM) \u548c\u8bcd\u9891\u4f5c\u4e3a\u5176\u57fa\u672c\u7ec4\u6210\u90e8\u5206\u5960\u5b9a\u4e86\u57fa\u7840\u3002<\/p>\n<p>20 \u4e16\u7eaa 70 \u5e74\u4ee3\u4e2d\u671f\uff0c\u82f1\u56fd\u8ba1\u7b97\u673a\u79d1\u5b66\u5bb6 Karen Sp\u00e4rck Jones \u5728\u7edf\u8ba1\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5de5\u4f5c\u4e2d\u63d0\u51fa\u4e86\u201c\u9006\u6587\u6863\u9891\u7387\u201d\u7684\u6982\u5ff5\u3002\u5728 1972 \u5e74\u7684\u8bba\u6587\u300a\u672f\u8bed\u7279\u5f02\u6027\u7684\u7edf\u8ba1\u89e3\u91ca\u53ca\u5176\u5728\u68c0\u7d22\u4e2d\u7684\u5e94\u7528\u300b\u4e2d\uff0cJones \u8ba8\u8bba\u4e86\u8003\u8651\u672f\u8bed\u5728\u6574\u4e2a\u6587\u6863\u96c6\u5408\u4e2d\u7684\u7a00\u6709\u6027\u7684\u91cd\u8981\u6027\u3002<\/p>\n<p>\u8bcd\u9891\u548c\u9006\u6587\u6863\u9891\u7387\u7684\u7ed3\u5408\u5bfc\u81f4\u4e86\u73b0\u5728\u5e7f\u4e3a\u4eba\u77e5\u7684 TF-IDF \u52a0\u6743\u65b9\u6848\u7684\u53d1\u5c55\uff0c\u8be5\u65b9\u6848\u7531 Salton \u548c Buckley \u5728 20 \u4e16\u7eaa 80 \u5e74\u4ee3\u540e\u671f\u901a\u8fc7\u4ed6\u4eec\u5728 SMART \u4fe1\u606f\u68c0\u7d22\u7cfb\u7edf\u65b9\u9762\u7684\u5de5\u4f5c\u800c\u63a8\u5e7f\u3002<\/p>\n<h2>\u6709\u5173\u8bcd\u9891-\u9006\u6587\u6863\u9891\u7387 (TF-IDF) \u7684\u8be6\u7ec6\u4fe1\u606f\u3002\u6269\u5c55\u4e3b\u9898\u8bcd\u9891-\u9006\u6587\u6863\u9891\u7387 (TF-IDF)\u3002<\/h2>\n<p>TF-IDF \u7684\u539f\u7406\u662f\uff0c\u672f\u8bed\u7684\u91cd\u8981\u6027\u4f1a\u968f\u7740\u5176\u5728\u7279\u5b9a\u6587\u6863\u4e2d\u51fa\u73b0\u7684\u9891\u7387\u800c\u589e\u52a0\uff0c\u540c\u65f6\u4f1a\u968f\u7740\u5176\u5728\u8bed\u6599\u5e93\u4e2d\u6240\u6709\u6587\u6863\u4e2d\u7684\u51fa\u73b0\u800c\u964d\u4f4e\u3002\u6b64\u6982\u5ff5\u6709\u52a9\u4e8e\u89e3\u51b3\u4ec5\u4f7f\u7528\u672f\u8bed\u9891\u7387\u8fdb\u884c\u76f8\u5173\u6027\u6392\u540d\u7684\u5c40\u9650\u6027\uff0c\u56e0\u4e3a\u6709\u4e9b\u8bcd\u53ef\u80fd\u51fa\u73b0\u9891\u7387\u5f88\u9ad8\uff0c\u4f46\u51e0\u4e4e\u6ca1\u6709\u4e0a\u4e0b\u6587\u610f\u4e49\u3002<\/p>\n<p>\u6587\u6863\u4e2d\u67d0\u4e2a\u8bcd\u7684 TF-IDF \u5206\u6570\u901a\u8fc7\u5c06\u5176\u8bcd\u9891 (TF) \u4e58\u4ee5\u5176\u9006\u6587\u6863\u9891\u7387 (IDF) \u6765\u8ba1\u7b97\u3002\u8bcd\u9891\u662f\u67d0\u4e2a\u8bcd\u5728\u6587\u6863\u4e2d\u51fa\u73b0\u7684\u6b21\u6570\uff0c\u800c\u9006\u6587\u6863\u9891\u7387\u5219\u8ba1\u7b97\u4e3a\u6587\u6863\u603b\u6570\u9664\u4ee5\u5305\u542b\u8be5\u8bcd\u7684\u6587\u6863\u6570\u91cf\u7684\u5bf9\u6570\u3002<\/p>\n<p>\u8ba1\u7b97\u8bed\u6599\u5e93\u4e2d\u6587\u6863d\u4e2d\u8bcd\u6761t\u7684TF-IDF\u5206\u6570\u7684\u516c\u5f0f\u5982\u4e0b\uff1a<\/p>\n<pre><div class=\"bg-black rounded-md mb-4\"><div class=\"flex items-center relative text-gray-200 bg-gray-800 px-4 py-2 text-xs font-sans justify-between rounded-t-md\"><span>CSS<\/span><button class=\"flex ml-auto gap-2\"><svg stroke=\"currentColor\" fill=\"none\" stroke-width=\"2\" viewbox=\"0 0 24 24\" stroke-linecap=\"round\" stroke-linejoin=\"round\" class=\"h-4 w-4\" height=\"1em\" width=\"1em\" ><path d=\"M16 4h2a2 2 0 0 1 2 2v14a2 2 0 0 1-2 2H6a2 2 0 0 1-2-2V6a2 2 0 0 1 2-2h2\"><\/path><rect x=\"8\" y=\"2\" width=\"8\" height=\"4\" rx=\"1\" ry=\"1\"><\/rect><\/svg>\u590d\u5236\u4ee3\u7801<\/button><\/div><div class=\"p-4 overflow-y-auto\"><code class=\"!whitespace-pre hljs language-scss\" data-no-translation=\"\"><span class=\"hljs-built_in\">TF-IDF<\/span>(t, d) = <span class=\"hljs-built_in\">TF<\/span>(t, d) * <span class=\"hljs-built_in\">IDF<\/span>(t)\n<\/code><\/div><\/div><\/pre>\n<p>\u5728\u54ea\u91cc\uff1a<\/p>\n<ul>\n<li><code data-no-translation=\"\">TF(t, d)<\/code> \u8868\u793a\u672f\u8bed\u201ct\u201d\u5728\u6587\u6863\u201cd\u201d\u4e2d\u7684\u8bcd\u9891\u3002<\/li>\n<li><code data-no-translation=\"\">IDF(t)<\/code> \u662f\u6574\u4e2a\u8bed\u6599\u5e93\u4e2d\u672f\u8bed\u201ct\u201d\u7684\u9006\u6587\u6863\u9891\u7387\u3002<\/li>\n<\/ul>\n<p>\u7531\u6b64\u5f97\u51fa\u7684 TF-IDF \u5206\u6570\u53ef\u4ee5\u91cf\u5316\u67d0\u4e2a\u672f\u8bed\u5bf9\u4e8e\u7279\u5b9a\u6587\u6863\u76f8\u5bf9\u4e8e\u6574\u4e2a\u6587\u6863\u96c6\u7684\u91cd\u8981\u6027\u3002\u8f83\u9ad8\u7684 TF-IDF \u5206\u6570\u8868\u660e\u67d0\u4e2a\u672f\u8bed\u5728\u8be5\u6587\u6863\u4e2d\u51fa\u73b0\u9891\u7387\u9ad8\uff0c\u800c\u5728\u5176\u4ed6\u6587\u6863\u4e2d\u51fa\u73b0\u9891\u7387\u4f4e\uff0c\u8fd9\u610f\u5473\u7740\u8be5\u672f\u8bed\u5728\u8be5\u7279\u5b9a\u6587\u6863\u7684\u4e0a\u4e0b\u6587\u4e2d\u5177\u6709\u91cd\u8981\u610f\u4e49\u3002<\/p>\n<h2>\u8bcd\u9891-\u9006\u6587\u6863\u9891\u7387\uff08TF-IDF\uff09\u7684\u5185\u90e8\u7ed3\u6784\u3002\u8bcd\u9891-\u9006\u6587\u6863\u9891\u7387\uff08TF-IDF\uff09\u7684\u5de5\u4f5c\u539f\u7406\u3002<\/h2>\n<p>TF-IDF \u53ef\u4ee5\u88ab\u8ba4\u4e3a\u662f\u4e00\u4e2a\u4e24\u6b65\u8fc7\u7a0b\uff1a<\/p>\n<ol>\n<li>\n<p><strong>\u8bcd\u9891 (TF)<\/strong>\uff1a\u7b2c\u4e00\u6b65\u662f\u8ba1\u7b97\u6587\u6863\u4e2d\u6bcf\u4e2a\u672f\u8bed\u7684\u8bcd\u9891 (TF)\u3002\u8fd9\u53ef\u4ee5\u901a\u8fc7\u8ba1\u7b97\u6587\u6863\u4e2d\u6bcf\u4e2a\u672f\u8bed\u51fa\u73b0\u7684\u6b21\u6570\u6765\u5b9e\u73b0\u3002TF \u8d8a\u9ad8\uff0c\u8868\u793a\u672f\u8bed\u5728\u6587\u6863\u4e2d\u51fa\u73b0\u7684\u9891\u7387\u8d8a\u9ad8\uff0c\u5e76\u4e14\u5728\u8be5\u7279\u5b9a\u6587\u6863\u7684\u4e0a\u4e0b\u6587\u4e2d\u53ef\u80fd\u8d8a\u91cd\u8981\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u9006\u6587\u6863\u9891\u7387 (IDF)<\/strong>\uff1a\u7b2c\u4e8c\u6b65\u662f\u8ba1\u7b97\u8bed\u6599\u5e93\u4e2d\u6bcf\u4e2a\u672f\u8bed\u7684\u9006\u6587\u6863\u9891\u7387 (IDF)\u3002\u8ba1\u7b97\u65b9\u6cd5\u662f\u5c06\u8bed\u6599\u5e93\u4e2d\u7684\u6587\u6863\u603b\u6570\u9664\u4ee5\u5305\u542b\u8be5\u672f\u8bed\u7684\u6587\u6863\u6570\uff0c\u7136\u540e\u5bf9\u7ed3\u679c\u53d6\u5bf9\u6570\u3002\u51fa\u73b0\u5728\u8f83\u5c11\u6587\u6863\u4e2d\u7684\u672f\u8bed\u7684 IDF \u503c\u8f83\u9ad8\uff0c\u8868\u793a\u5176\u72ec\u7279\u6027\u548c\u91cd\u8981\u6027\u3002<\/p>\n<\/li>\n<\/ol>\n<p>\u4e00\u65e6\u8ba1\u7b97\u51fa TF \u548c IDF \u5206\u6570\uff0c\u5c31\u4f1a\u4f7f\u7528\u524d\u9762\u63d0\u5230\u7684\u516c\u5f0f\u5c06\u5b83\u4eec\u7ec4\u5408\u8d77\u6765\uff0c\u4ee5\u83b7\u5f97\u6587\u6863\u4e2d\u6bcf\u4e2a\u672f\u8bed\u7684\u6700\u7ec8 TF-IDF \u5206\u6570\u3002\u8be5\u5206\u6570\u8868\u793a\u8be5\u672f\u8bed\u5728\u6574\u4e2a\u8bed\u6599\u5e93\u7684\u4e0a\u4e0b\u6587\u4e2d\u4e0e\u6587\u6863\u7684\u76f8\u5173\u6027\u3002<\/p>\n<p>\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0c\u867d\u7136 TF-IDF \u88ab\u5e7f\u6cdb\u4f7f\u7528\u4e14\u975e\u5e38\u6709\u6548\uff0c\u4f46\u5b83\u4e5f\u6709\u5c40\u9650\u6027\u3002\u4f8b\u5982\uff0c\u5b83\u4e0d\u8003\u8651\u8bcd\u5e8f\u3001\u8bed\u4e49\u6216\u4e0a\u4e0b\u6587\uff0c\u5e76\u4e14\u5728\u67d0\u4e9b\u4e13\u4e1a\u9886\u57df\u4e2d\u53ef\u80fd\u65e0\u6cd5\u53d1\u6325\u6700\u4f73\u6027\u80fd\uff0c\u800c\u5176\u4ed6\u6280\u672f\uff08\u5982\u8bcd\u5d4c\u5165\u6216\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\uff09\u53ef\u80fd\u66f4\u9002\u5408\u8fd9\u4e9b\u9886\u57df\u3002<\/p>\n<h2>\u8bcd\u9891-\u9006\u6587\u6863\u9891\u7387\uff08TF-IDF\uff09\u7684\u5173\u952e\u7279\u5f81\u5206\u6790\u3002<\/h2>\n<p>TF-IDF \u63d0\u4f9b\u4e86\u51e0\u4e2a\u5173\u952e\u7279\u6027\uff0c\u4f7f\u5176\u6210\u4e3a\u5404\u79cd\u4fe1\u606f\u68c0\u7d22\u548c\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4efb\u52a1\u4e2d\u6709\u4ef7\u503c\u7684\u5de5\u5177\uff1a<\/p>\n<ol>\n<li>\n<p><strong>\u672f\u8bed\u91cd\u8981\u6027<\/strong>\uff1aTF-IDF \u53ef\u6709\u6548\u6355\u6349\u6587\u6863\u4e2d\u672f\u8bed\u7684\u91cd\u8981\u6027\u53ca\u5176\u4e0e\u6574\u4e2a\u8bed\u6599\u5e93\u7684\u76f8\u5173\u6027\u3002\u5b83\u6709\u52a9\u4e8e\u533a\u5206\u91cd\u8981\u672f\u8bed\u4e0e\u5e38\u89c1\u7684\u505c\u7528\u8bcd\u6216\u8bed\u4e49\u4ef7\u503c\u8f83\u5c0f\u7684\u9891\u7e41\u51fa\u73b0\u7684\u8bcd\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u6587\u6863\u6392\u5e8f<\/strong>\uff1a\u5728\u641c\u7d22\u5f15\u64ce\u548c\u6587\u6863\u68c0\u7d22\u7cfb\u7edf\u4e2d\uff0cTF-IDF \u901a\u5e38\u7528\u4e8e\u6839\u636e\u6587\u6863\u4e0e\u7ed9\u5b9a\u67e5\u8be2\u7684\u76f8\u5173\u6027\u5bf9\u5176\u8fdb\u884c\u6392\u540d\u3002\u67e5\u8be2\u8bcd\u7684 TF-IDF \u5206\u6570\u8d8a\u9ad8\u7684\u6587\u6863\u88ab\u8ba4\u4e3a\u8d8a\u76f8\u5173\uff0c\u5728\u641c\u7d22\u7ed3\u679c\u4e2d\u7684\u6392\u540d\u5c31\u8d8a\u9ad8\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u5173\u952e\u8bcd\u63d0\u53d6<\/strong>\uff1aTF-IDF \u7528\u4e8e\u5173\u952e\u8bcd\u63d0\u53d6\uff0c\u5373\u8bc6\u522b\u6587\u6863\u4e2d\u6700\u76f8\u5173\u548c\u6700\u72ec\u7279\u7684\u672f\u8bed\u3002\u8fd9\u4e9b\u63d0\u53d6\u7684\u5173\u952e\u8bcd\u53ef\u7528\u4e8e\u6587\u6863\u6458\u8981\u3001\u4e3b\u9898\u5efa\u6a21\u548c\u5185\u5bb9\u5206\u7c7b\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u57fa\u4e8e\u5185\u5bb9\u7684\u8fc7\u6ee4<\/strong>\uff1a\u5728\u63a8\u8350\u7cfb\u7edf\u4e2d\uff0cTF-IDF \u53ef\u7528\u4e8e\u57fa\u4e8e\u5185\u5bb9\u7684\u8fc7\u6ee4\uff0c\u5176\u4e2d\u6587\u6863\u4e4b\u95f4\u7684\u76f8\u4f3c\u5ea6\u662f\u6839\u636e\u5b83\u4eec\u7684 TF-IDF \u5411\u91cf\u8ba1\u7b97\u7684\u3002\u5177\u6709\u76f8\u4f3c\u504f\u597d\u7684\u7528\u6237\u53ef\u4ee5\u83b7\u5f97\u76f8\u4f3c\u7684\u5185\u5bb9\u63a8\u8350\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u964d\u7ef4<\/strong>\uff1aTF-IDF \u53ef\u7528\u4e8e\u5bf9\u6587\u672c\u6570\u636e\u8fdb\u884c\u964d\u7ef4\u3002\u901a\u8fc7\u9009\u62e9\u5177\u6709\u6700\u9ad8 TF-IDF \u5206\u6570\u7684\u524d n \u4e2a\u672f\u8bed\uff0c\u53ef\u4ee5\u521b\u5efa\u4e00\u4e2a\u66f4\u7cbe\u7b80\u4e14\u4fe1\u606f\u91cf\u66f4\u5927\u7684\u7279\u5f81\u7a7a\u95f4\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u8bed\u8a00\u72ec\u7acb\u6027<\/strong>\uff1aTF-IDF\u76f8\u5bf9\u6765\u8bf4\u4e0e\u8bed\u8a00\u65e0\u5173\uff0c\u53ea\u9700\u7a0d\u52a0\u4fee\u6539\u5373\u53ef\u5e94\u7528\u4e8e\u5404\u79cd\u8bed\u8a00\u3002\u8fd9\u4f7f\u5f97\u5b83\u9002\u7528\u4e8e\u591a\u8bed\u8a00\u6587\u6863\u96c6\u3002<\/p>\n<\/li>\n<\/ol>\n<p>\u5c3d\u7ba1\u5177\u6709\u8fd9\u4e9b\u4f18\u52bf\uff0c\u4f46\u5fc5\u987b\u5c06 TF-IDF \u4e0e\u5176\u4ed6\u6280\u672f\u7ed3\u5408\u4f7f\u7528\u624d\u80fd\u83b7\u5f97\u6700\u51c6\u786e\u548c\u6700\u76f8\u5173\u7684\u7ed3\u679c\uff0c\u5c24\u5176\u662f\u5728\u590d\u6742\u7684\u8bed\u8a00\u7406\u89e3\u4efb\u52a1\u4e2d\u3002<\/p>\n<h2>\u5199\u51fa\u6709\u54ea\u4e9b\u7c7b\u578b\u7684\u8bcd\u9891-\u9006\u6587\u6863\u9891\u7387 (TF-IDF)\u3002\u4f7f\u7528\u8868\u683c\u548c\u5217\u8868\u6765\u5199\u3002<\/h2>\n<p>TF-IDF \u53ef\u4ee5\u6839\u636e\u8bcd\u9891\u548c\u9006\u6587\u6863\u9891\u7387\u8ba1\u7b97\u7684\u53d8\u5316\u8fdb\u4e00\u6b65\u5b9a\u5236\u3002\u4e00\u4e9b\u5e38\u89c1\u7684 TF-IDF \u7c7b\u578b\u5305\u62ec\uff1a<\/p>\n<ol>\n<li>\n<p><strong>\u539f\u59cb\u8bcd\u9891 (TF)<\/strong>\uff1aTF \u7684\u6700\u7b80\u5355\u5f62\u5f0f\uff0c\u8868\u793a\u6587\u6863\u4e2d\u672f\u8bed\u7684\u539f\u59cb\u8ba1\u6570\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u5bf9\u6570\u7f29\u653e\u8bcd\u9891<\/strong>\uff1aTF \u7684\u4e00\u79cd\u53d8\u4f53\uff0c\u5b83\u5e94\u7528\u5bf9\u6570\u7f29\u653e\u6765\u6291\u5236\u6781\u9ad8\u9891\u9879\u7684\u5f71\u54cd\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u53cc\u91cd\u89c4\u8303\u5316 TF<\/strong>\uff1a\u901a\u8fc7\u5c06\u8bcd\u9891\u9664\u4ee5\u6587\u6863\u4e2d\u7684\u6700\u5927\u8bcd\u9891\u6765\u89c4\u8303\u5316\u8bcd\u9891\uff0c\u4ee5\u9632\u6b62\u504f\u5411\u8f83\u957f\u7684\u6587\u6863\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u589e\u5f3a\u8bcd\u9891<\/strong>\uff1a\u4e0e Double Normalization TF \u7c7b\u4f3c\uff0c\u4f46\u8fdb\u4e00\u6b65\u5c06\u8bcd\u9891\u9664\u4ee5\u6700\u5927\u8bcd\u9891\uff0c\u7136\u540e\u52a0\u4e0a 0.5\uff0c\u4ee5\u907f\u514d\u96f6\u8bcd\u9891\u7684\u95ee\u9898\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u5e03\u5c14\u8bcd\u9891<\/strong>\uff1aTF \u7684\u4e8c\u8fdb\u5236\u8868\u793a\uff0c\u5176\u4e2d 1 \u8868\u793a\u6587\u6863\u4e2d\u5b58\u5728\u8be5\u672f\u8bed\uff0c\u800c 0 \u8868\u793a\u4e0d\u5b58\u5728\u8be5\u672f\u8bed\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u5e73\u6ed1 IDF<\/strong>\uff1a\u5728IDF\u8ba1\u7b97\u4e2d\u5305\u542b\u4e00\u4e2a\u5e73\u6ed1\u9879\uff0c\u4ee5\u9632\u6b62\u5f53\u67d0\u4e2a\u672f\u8bed\u5728\u6240\u6709\u6587\u6863\u4e2d\u51fa\u73b0\u65f6\u88ab\u96f6\u9664\u3002<\/p>\n<\/li>\n<\/ol>\n<p>TF-IDF \u7684\u4e0d\u540c\u53d8\u4f53\u53ef\u80fd\u9002\u7528\u4e8e\u4e0d\u540c\u7684\u573a\u666f\uff0c\u5e76\u4e14\u4ece\u4e1a\u8005\u7ecf\u5e38\u5c1d\u8bd5\u591a\u79cd\u7c7b\u578b\u6765\u786e\u5b9a\u6700\u9002\u5408\u5176\u7279\u5b9a\u7528\u4f8b\u7684\u7c7b\u578b\u3002<\/p>\n<h2>\u8bcd\u9891-\u9006\u6587\u6863\u9891\u7387\uff08TF-IDF\uff09\u7684\u4f7f\u7528\u65b9\u6cd5\uff0c\u4f7f\u7528\u4e2d\u9047\u5230\u7684\u95ee\u9898\u53ca\u89e3\u51b3\u65b9\u6cd5\u3002<\/h2>\n<p>TF-IDF \u5728\u4fe1\u606f\u68c0\u7d22\u3001\u81ea\u7136\u8bed\u8a00\u5904\u7406\u548c\u6587\u672c\u5206\u6790\u9886\u57df\u6709\u591a\u79cd\u5e94\u7528\u3002\u4f7f\u7528 TF-IDF \u7684\u4e00\u4e9b\u5e38\u89c1\u65b9\u6cd5\u5305\u62ec\uff1a<\/p>\n<ol>\n<li>\n<p><strong>\u6587\u6863\u641c\u7d22\u548c\u6392\u5e8f<\/strong>\uff1aTF-IDF \u5e7f\u6cdb\u5e94\u7528\u4e8e\u641c\u7d22\u5f15\u64ce\uff0c\u6839\u636e\u6587\u6863\u4e0e\u7528\u6237\u67e5\u8be2\u7684\u76f8\u5173\u6027\u5bf9\u6587\u6863\u8fdb\u884c\u6392\u540d\u3002TF-IDF \u5206\u6570\u8d8a\u9ad8\uff0c\u5339\u914d\u5ea6\u8d8a\u9ad8\uff0c\u4ece\u800c\u53ef\u83b7\u5f97\u66f4\u597d\u7684\u641c\u7d22\u7ed3\u679c\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u6587\u672c\u5206\u7c7b\u548c\u7c7b\u522b<\/strong>\uff1a\u5728\u6587\u672c\u5206\u7c7b\u4efb\u52a1\u4e2d\uff0c\u4f8b\u5982\u60c5\u611f\u5206\u6790\u6216\u4e3b\u9898\u5efa\u6a21\uff0c\u53ef\u4ee5\u4f7f\u7528 TF-IDF \u6765\u63d0\u53d6\u7279\u5f81\u5e76\u4ee5\u6570\u5b57\u65b9\u5f0f\u8868\u793a\u6587\u6863\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u5173\u952e\u8bcd\u63d0\u53d6<\/strong>\uff1aTF-IDF \u6709\u52a9\u4e8e\u4ece\u6587\u6863\u4e2d\u8bc6\u522b\u91cd\u8981\u7684\u5173\u952e\u5b57\uff0c\u8fd9\u5bf9\u4e8e\u603b\u7ed3\u3001\u6807\u8bb0\u548c\u5206\u7c7b\u5f88\u6709\u7528\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u4fe1\u606f\u68c0\u7d22<\/strong>\uff1aTF-IDF \u662f\u8bb8\u591a\u4fe1\u606f\u68c0\u7d22\u7cfb\u7edf\u7684\u57fa\u672c\u7ec4\u6210\u90e8\u5206\uff0c\u53ef\u786e\u4fdd\u4ece\u5927\u91cf\u6587\u6863\u4e2d\u51c6\u786e\u4e14\u76f8\u5173\u5730\u68c0\u7d22\u6587\u6863\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u63a8\u8350\u7cfb\u7edf<\/strong>\uff1a\u57fa\u4e8e\u5185\u5bb9\u7684\u63a8\u8350\u5668\u5229\u7528 TF-IDF \u6765\u786e\u5b9a\u6587\u6863\u4e4b\u95f4\u7684\u76f8\u4f3c\u6027\u5e76\u5411\u7528\u6237\u63a8\u8350\u76f8\u5173\u5185\u5bb9\u3002<\/p>\n<\/li>\n<\/ol>\n<p>\u5c3d\u7ba1 TF-IDF \u5f88\u6709\u6548\uff0c\u4f46\u5b83\u4e5f\u5b58\u5728\u4e00\u4e9b\u5c40\u9650\u6027\u548c\u6f5c\u5728\u95ee\u9898\uff1a<\/p>\n<ol>\n<li>\n<p><strong>\u672f\u8bed\u8fc7\u5ea6\u8868\u8fbe<\/strong>\uff1a\u5e38\u7528\u8bcd\u53ef\u80fd\u4f1a\u83b7\u5f97\u8f83\u9ad8\u7684 TF-IDF \u5206\u6570\uff0c\u4ece\u800c\u5bfc\u81f4\u6f5c\u5728\u7684\u504f\u5dee\u3002\u4e3a\u4e86\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\uff0c\u5728\u9884\u5904\u7406\u8fc7\u7a0b\u4e2d\u901a\u5e38\u4f1a\u5220\u9664\u505c\u7528\u8bcd\uff08\u4f8b\u5982\u201cand\u201d\u3001\u201cthe\u201d\u3001\u201cis\u201d\uff09\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u7f55\u89c1\u672f\u8bed<\/strong>\uff1a\u53ea\u51fa\u73b0\u5728\u5c11\u6570\u6587\u6863\u4e2d\u7684\u672f\u8bed\u53ef\u80fd\u4f1a\u83b7\u5f97\u8fc7\u9ad8\u7684 IDF \u5206\u6570\uff0c\u4ece\u800c\u5bf9 TF-IDF \u5206\u6570\u4ea7\u751f\u8fc7\u5927\u7684\u5f71\u54cd\u3002\u53ef\u4ee5\u91c7\u7528\u5e73\u6ed1\u6280\u672f\u6765\u7f13\u89e3\u6b64\u95ee\u9898\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u6269\u5927\u5f71\u54cd\u529b<\/strong>\uff1a\u8f83\u957f\u7684\u6587\u6863\u53ef\u80fd\u5177\u6709\u8f83\u9ad8\u7684\u539f\u59cb\u8bcd\u9891\uff0c\u4ece\u800c\u5bfc\u81f4\u8f83\u9ad8\u7684 TF-IDF \u5206\u6570\u3002\u53ef\u4ee5\u4f7f\u7528\u89c4\u8303\u5316\u65b9\u6cd5\u6765\u89e3\u91ca\u8fd9\u79cd\u504f\u5dee\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u8bcd\u6c47\u4e4b\u5916\u7684\u672f\u8bed<\/strong>\uff1a\u6587\u6863\u4e2d\u7684\u65b0\u8bcd\u6216\u672a\u89c1\u8fc7\u7684\u8bcd\u53ef\u80fd\u6ca1\u6709\u5bf9\u5e94\u7684 IDF \u5206\u6570\u3002\u53ef\u4ee5\u901a\u8fc7\u5bf9\u8bcd\u6c47\u8868\u5916\u7684\u8bcd\u4f7f\u7528\u56fa\u5b9a IDF \u503c\u6216\u91c7\u7528\u6b21\u7ebf\u6027\u7f29\u653e\u7b49\u6280\u672f\u6765\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u9886\u57df\u4f9d\u8d56<\/strong>\uff1aTF-IDF \u7684\u6709\u6548\u6027\u53ef\u80fd\u56e0\u6587\u6863\u7684\u9886\u57df\u548c\u6027\u8d28\u800c\u5f02\u3002\u67d0\u4e9b\u9886\u57df\u53ef\u80fd\u9700\u8981\u66f4\u9ad8\u7ea7\u7684\u6280\u672f\u6216\u9488\u5bf9\u7279\u5b9a\u9886\u57df\u7684\u8c03\u6574\u3002<\/p>\n<\/li>\n<\/ol>\n<p>\u4e3a\u4e86\u6700\u5927\u9650\u5ea6\u5730\u53d1\u6325 TF-IDF \u7684\u4f18\u52bf\u5e76\u5e94\u5bf9\u8fd9\u4e9b\u6311\u6218\uff0c\u4ed4\u7ec6\u7684\u9884\u5904\u7406\u3001\u5bf9 TF-IDF \u7684\u4e0d\u540c\u53d8\u4f53\u8fdb\u884c\u5b9e\u9a8c\u4ee5\u53ca\u66f4\u6df1\u5165\u5730\u4e86\u89e3\u6570\u636e\u81f3\u5173\u91cd\u8981\u3002<\/p>\n<h2>\u4ee5\u8868\u683c\u548c\u5217\u8868\u7684\u5f62\u5f0f\u5217\u51fa\u4e3b\u8981\u7279\u5f81\u4ee5\u53ca\u4e0e\u7c7b\u4f3c\u672f\u8bed\u7684\u5176\u4ed6\u6bd4\u8f83\u3002<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u7279\u5f81<\/th>\n<th>TF-IDF<\/th>\n<th>\u8bcd\u9891 (TF)<\/th>\n<th>\u9006\u6587\u6863\u9891\u7387 (IDF)<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u5ba2\u89c2\u7684<\/td>\n<td>\u8bc4\u4f30\u672f\u8bed\u91cd\u8981\u6027<\/td>\n<td>\u6d4b\u91cf\u8bcd\u9891<\/td>\n<td>\u8bc4\u4f30\u6587\u6863\u4e2d\u7684\u672f\u8bed\u7a00\u6709\u5ea6<\/td>\n<\/tr>\n<tr>\n<td>\u8ba1\u7b97\u65b9\u6cd5<\/td>\n<td>\u81ea\u7531\u5ea6 * \u81ea\u7531\u5ea6<\/td>\n<td>\u6587\u6863\u4e2d\u7684\u539f\u59cb\u672f\u8bed\u8ba1\u6570<\/td>\n<td>(\u6587\u6863\u603b\u6570 \/ \u542b\u672f\u8bed\u7684\u6587\u6863\u6570) \u7684\u5bf9\u6570<\/td>\n<\/tr>\n<tr>\n<td>\u7f55\u89c1\u672f\u8bed\u7684\u91cd\u8981\u6027<\/td>\n<td>\u9ad8\u7684<\/td>\n<td>\u4f4e\u7684<\/td>\n<td>\u5f88\u9ad8<\/td>\n<\/tr>\n<tr>\n<td>\u5e38\u7528\u672f\u8bed\u7684\u91cd\u8981\u6027<\/td>\n<td>\u4f4e\u7684<\/td>\n<td>\u9ad8\u7684<\/td>\n<td>\u4f4e\u7684<\/td>\n<\/tr>\n<tr>\n<td>\u6587\u6863\u957f\u5ea6\u7684\u5f71\u54cd<\/td>\n<td>\u6309\u6587\u6863\u957f\u5ea6\u5f52\u4e00\u5316<\/td>\n<td>\u6210\u6b63\u6bd4<\/td>\n<td>\u6ca1\u6709\u6548\u679c<\/td>\n<\/tr>\n<tr>\n<td>\u8bed\u8a00\u72ec\u7acb\u6027<\/td>\n<td>\u662f\u7684<\/td>\n<td>\u662f\u7684<\/td>\n<td>\u662f\u7684<\/td>\n<\/tr>\n<tr>\n<td>\u5e38\u89c1\u7528\u4f8b<\/td>\n<td>\u4fe1\u606f\u68c0\u7d22\u3001\u6587\u672c\u5206\u7c7b\u3001\u5173\u952e\u8bcd\u63d0\u53d6<\/td>\n<td>\u4fe1\u606f\u68c0\u7d22\u3001\u6587\u672c\u5206\u7c7b<\/td>\n<td>\u4fe1\u606f\u68c0\u7d22\u3001\u6587\u672c\u5206\u7c7b<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u4e0e\u8bcd\u9891-\u9006\u6587\u6863\u9891\u7387\uff08TF-IDF\uff09\u76f8\u5173\u7684\u672a\u6765\u89c2\u70b9\u548c\u6280\u672f\u3002<\/h2>\n<p>\u968f\u7740\u6280\u672f\u7684\u4e0d\u65ad\u53d1\u5c55\uff0cTF-IDF \u7684\u4f5c\u7528\u4ecd\u7136\u5f88\u91cd\u8981\uff0c\u5c3d\u7ba1\u6709\u4e00\u4e9b\u8fdb\u6b65\u548c\u6539\u8fdb\u3002\u4ee5\u4e0b\u662f\u4e0e TF-IDF \u76f8\u5173\u7684\u4e00\u4e9b\u89c2\u70b9\u548c\u6f5c\u5728\u7684\u672a\u6765\u6280\u672f\uff1a<\/p>\n<ol>\n<li>\n<p><strong>\u9ad8\u7ea7\u81ea\u7136\u8bed\u8a00\u5904\u7406 (NLP)<\/strong>\uff1a\u968f\u7740 transformers\u3001BERT \u548c GPT \u7b49 NLP \u6a21\u578b\u7684\u8fdb\u6b65\uff0c\u4eba\u4eec\u8d8a\u6765\u8d8a\u6709\u5174\u8da3\u4f7f\u7528\u4e0a\u4e0b\u6587\u5d4c\u5165\u548c\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\u6765\u8868\u793a\u6587\u6863\uff0c\u800c\u4e0d\u662f\u4f7f\u7528 TF-IDF \u7b49\u4f20\u7edf\u7684\u8bcd\u888b\u65b9\u6cd5\u3002\u8fd9\u4e9b\u6a21\u578b\u53ef\u4ee5\u6355\u83b7\u6587\u672c\u6570\u636e\u4e2d\u66f4\u4e30\u5bcc\u7684\u8bed\u4e49\u4fe1\u606f\u548c\u4e0a\u4e0b\u6587\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u7279\u5b9a\u9886\u57df\u7684\u9002\u5e94<\/strong>\uff1a\u672a\u6765\u7684\u7814\u7a76\u53ef\u80fd\u4fa7\u91cd\u4e8e\u5f00\u53d1\u7279\u5b9a\u9886\u57df\u7684 TF-IDF \u9002\u5e94\u6027\uff0c\u4ee5\u9002\u5e94\u4e0d\u540c\u9886\u57df\u7684\u72ec\u7279\u7279\u5f81\u548c\u8981\u6c42\u3002\u9488\u5bf9\u7279\u5b9a\u884c\u4e1a\u6216\u5e94\u7528\u5b9a\u5236 TF-IDF \u53ef\u4ee5\u5b9e\u73b0\u66f4\u51c6\u786e\u3001\u66f4\u5177\u6709\u60c5\u5883\u611f\u77e5\u7684\u4fe1\u606f\u68c0\u7d22\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u591a\u6a21\u6001\u8868\u5f81<\/strong>\uff1a\u968f\u7740\u6570\u636e\u6e90\u7684\u591a\u6837\u5316\uff0c\u9700\u8981\u591a\u6a21\u6001\u6587\u6863\u8868\u793a\u3002\u672a\u6765\u7684\u7814\u7a76\u53ef\u80fd\u4f1a\u63a2\u7d22\u5c06\u6587\u672c\u4fe1\u606f\u4e0e\u56fe\u50cf\u3001\u97f3\u9891\u548c\u5176\u4ed6\u6a21\u6001\u76f8\u7ed3\u5408\uff0c\u4ece\u800c\u5b9e\u73b0\u66f4\u5168\u9762\u7684\u6587\u6863\u7406\u89e3\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u53ef\u89e3\u91ca\u7684\u4eba\u5de5\u667a\u80fd<\/strong>\uff1a\u53ef\u4ee5\u52aa\u529b\u4f7f TF-IDF \u548c\u5176\u4ed6 NLP \u6280\u672f\u66f4\u5177\u53ef\u89e3\u91ca\u6027\u3002\u53ef\u89e3\u91ca\u7684 AI \u786e\u4fdd\u7528\u6237\u80fd\u591f\u7406\u89e3\u5982\u4f55\u4ee5\u53ca\u4e3a\u4f55\u505a\u51fa\u7279\u5b9a\u51b3\u7b56\uff0c\u4ece\u800c\u589e\u52a0\u4fe1\u4efb\u5e76\u4fc3\u8fdb\u66f4\u8f7b\u677e\u7684\u8c03\u8bd5\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u6df7\u5408\u65b9\u6cd5<\/strong>\uff1a\u672a\u6765\u7684\u53d1\u5c55\u53ef\u80fd\u6d89\u53ca\u5c06 TF-IDF \u4e0e\u8bcd\u5d4c\u5165\u6216\u4e3b\u9898\u5efa\u6a21\u7b49\u65b0\u6280\u672f\u76f8\u7ed3\u5408\uff0c\u4ee5\u5229\u7528\u4e24\u79cd\u65b9\u6cd5\u7684\u4f18\u52bf\uff0c\u4ece\u800c\u6709\u53ef\u80fd\u5b9e\u73b0\u66f4\u51c6\u786e\u3001\u66f4\u5f3a\u5927\u7684\u7cfb\u7edf\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u4ee3\u7406\u670d\u52a1\u5668\u5982\u4f55\u4f7f\u7528\u6216\u4e0e\u8bcd\u9891-\u9006\u6587\u6863\u9891\u7387\uff08TF-IDF\uff09\u5173\u8054\u3002<\/h2>\n<p>\u4ee3\u7406\u670d\u52a1\u5668\u548c TF-IDF \u5e76\u4e0d\u76f4\u63a5\u76f8\u5173\uff0c\u4f46\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\u5b83\u4eec\u53ef\u4ee5\u76f8\u4e92\u8865\u5145\u3002\u4ee3\u7406\u670d\u52a1\u5668\u5145\u5f53\u5ba2\u6237\u7aef\u548c\u4e92\u8054\u7f51\u4e4b\u95f4\u7684\u4e2d\u4ecb\uff0c\u4f7f\u7528\u6237\u80fd\u591f\u901a\u8fc7\u4e2d\u4ecb\u670d\u52a1\u5668\u8bbf\u95ee\u7f51\u7edc\u5185\u5bb9\u3002\u4ee3\u7406\u670d\u52a1\u5668\u53ef\u4ee5\u4e0e TF-IDF \u7ed3\u5408\u4f7f\u7528\u7684\u4e00\u4e9b\u65b9\u5f0f\u5305\u62ec\uff1a<\/p>\n<ol>\n<li>\n<p><strong>\u7f51\u9875\u6293\u53d6\u548c\u722c\u884c<\/strong>\uff1a\u4ee3\u7406\u670d\u52a1\u5668\u901a\u5e38\u7528\u4e8e\u7f51\u7edc\u6293\u53d6\u548c\u722c\u53d6\u4efb\u52a1\uff0c\u9700\u8981\u6536\u96c6\u5927\u91cf\u7684\u7f51\u7edc\u6570\u636e\u3002TF-IDF \u53ef\u5e94\u7528\u4e8e\u6293\u53d6\u7684\u6587\u672c\u6570\u636e\uff0c\u7528\u4e8e\u5404\u79cd\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4efb\u52a1\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u533f\u540d\u548c\u9690\u79c1<\/strong>\uff1a\u4ee3\u7406\u670d\u52a1\u5668\u53ef\u4ee5\u901a\u8fc7\u5411\u7528\u6237\u8bbf\u95ee\u7684\u7f51\u7ad9\u9690\u85cf\u5176 IP \u5730\u5740\u6765\u4e3a\u7528\u6237\u63d0\u4f9b\u533f\u540d\u6027\u3002\u8fd9\u53ef\u80fd\u4f1a\u5bf9\u4fe1\u606f\u68c0\u7d22\u4efb\u52a1\u4ea7\u751f\u5f71\u54cd\uff0c\u56e0\u4e3a TF-IDF \u5728\u7d22\u5f15\u6587\u6863\u65f6\u53ef\u80fd\u9700\u8981\u8003\u8651\u6f5c\u5728\u7684 IP \u5730\u5740\u53d8\u5316\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u5206\u5e03\u5f0f\u6570\u636e\u6536\u96c6<\/strong>\uff1aTF-IDF \u8ba1\u7b97\u53ef\u80fd\u8017\u8d39\u5927\u91cf\u8d44\u6e90\uff0c\u5c24\u5176\u662f\u5bf9\u4e8e\u5927\u89c4\u6a21\u8bed\u6599\u5e93\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee3\u7406\u670d\u52a1\u5668\u5c06\u6570\u636e\u6536\u96c6\u8fc7\u7a0b\u5206\u6563\u5230\u591a\u4e2a\u670d\u52a1\u5668\uff0c\u4ee5\u51cf\u8f7b\u8ba1\u7b97\u8d1f\u62c5\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u591a\u8bed\u8a00\u6570\u636e\u6536\u96c6<\/strong>\uff1a\u4f4d\u4e8e\u4e0d\u540c\u5730\u533a\u7684\u4ee3\u7406\u670d\u52a1\u5668\u53ef\u4ee5\u65b9\u4fbf\u591a\u8bed\u8a00\u6570\u636e\u6536\u96c6\u3002TF-IDF\u53ef\u4ee5\u5e94\u7528\u4e8e\u5404\u79cd\u8bed\u8a00\u7684\u6587\u6863\uff0c\u4ee5\u652f\u6301\u4e0e\u8bed\u8a00\u65e0\u5173\u7684\u4fe1\u606f\u68c0\u7d22\u3002<\/p>\n<\/li>\n<\/ol>\n<p>\u867d\u7136\u4ee3\u7406\u670d\u52a1\u5668\u53ef\u4ee5\u5e2e\u52a9\u6570\u636e\u6536\u96c6\u548c\u8bbf\u95ee\uff0c\u4f46\u5b83\u4eec\u672c\u8eab\u5e76\u4e0d\u5f71\u54cd TF-IDF \u8ba1\u7b97\u8fc7\u7a0b\u3002\u4f7f\u7528\u4ee3\u7406\u670d\u52a1\u5668\u4e3b\u8981\u662f\u4e3a\u4e86\u589e\u5f3a\u6570\u636e\u6536\u96c6\u548c\u7528\u6237\u9690\u79c1\u3002<\/p>\n<h2>\u76f8\u5173\u94fe\u63a5<\/h2>\n<p>\u6709\u5173\u8bcd\u9891-\u9006\u6587\u6863\u9891\u7387 (TF-IDF) \u53ca\u5176\u5e94\u7528\u7684\u66f4\u591a\u4fe1\u606f\uff0c\u8bf7\u8003\u8651\u63a2\u7d22\u4ee5\u4e0b\u8d44\u6e90\uff1a<\/p>\n<ol>\n<li>\n<p><a href=\"https:\/\/www.amazon.com\/Information-Retrieval-Second-C-J-van-Rijsbergen\/dp\/0853127742\" target=\"_new\" rel=\"noopener nofollow\">\u4fe1\u606f\u68c0\u7d22\uff08\u4f5c\u8005\uff1aCJ van Rijsbergen\uff09<\/a> \u2013 \u4e00\u672c\u6db5\u76d6\u4fe1\u606f\u68c0\u7d22\u6280\u672f\uff08\u5305\u62ec TF-IDF\uff09\u7684\u7efc\u5408\u6027\u4e66\u7c4d\u3002<\/p>\n<\/li>\n<li>\n<p><a href=\"https:\/\/scikit-learn.org\/stable\/modules\/feature_extraction.html#tfidf-term-weighting\" target=\"_new\" rel=\"noopener nofollow\">TF-IDF \u7684 Scikit-learn \u6587\u6863<\/a> \u2013 Scikit-learn \u7684\u6587\u6863\u63d0\u4f9b\u4e86 Python \u4e2d TF-IDF \u7684\u5b9e\u9645\u793a\u4f8b\u548c\u5b9e\u73b0\u7ec6\u8282\u3002<\/p>\n<\/li>\n<li>\n<p><a href=\"http:\/\/infolab.stanford.edu\/~backrub\/google.html\" target=\"_new\" rel=\"noopener nofollow\">\u5927\u578b\u8d85\u6587\u672c\u7f51\u7edc\u641c\u7d22\u5f15\u64ce\u7684\u5256\u6790\uff08\u8c22\u5c14\u76d6\u00b7\u5e03\u6797\u548c\u52b3\u4f26\u65af\u00b7\u4f69\u5947\u8457\uff09<\/a> \u2013 \u539f\u59cb\u7684 Google \u641c\u7d22\u5f15\u64ce\u8bba\u6587\uff0c\u8ba8\u8bba\u4e86 TF-IDF \u5728\u5176\u65e9\u671f\u641c\u7d22\u7b97\u6cd5\u4e2d\u7684\u4f5c\u7528\u3002<\/p>\n<\/li>\n<li>\n<p><a href=\"https:\/\/nlp.stanford.edu\/IR-book\/information-retrieval-book.html\" target=\"_new\" rel=\"noopener nofollow\">\u300a\u4fe1\u606f\u68c0\u7d22\u7b80\u4ecb\u300b\uff08\u4f5c\u8005\uff1aChristopher D. Manning\u3001Prabhakar Raghavan \u548c Hinrich Sch\u00fctze\uff09<\/a> \u2013 \u4e00\u672c\u5728\u7ebf\u4e66\u7c4d\uff0c\u6db5\u76d6\u4fe1\u606f\u68c0\u7d22\u7684\u5404\u4e2a\u65b9\u9762\uff0c\u5305\u62ec TF-IDF\u3002<\/p>\n<\/li>\n<li>\n<p><a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-981-15-1143-0_12\" target=\"_new\" rel=\"noopener nofollow\">SR Brinjal \u548c MVS Sowmya \u7684\u6587\u672c\u6316\u6398 TF-IDF \u6280\u672f\u53ca\u5176\u5e94\u7528<\/a> \u2013 \u4e00\u7bc7\u63a2\u8ba8 TF-IDF \u5728\u6587\u672c\u6316\u6398\u4e2d\u7684\u5e94\u7528\u7684\u7814\u7a76\u8bba\u6587\u3002<\/p>\n<\/li>\n<\/ol>\n<p>\u4e86\u89e3 TF-IDF \u53ca\u5176\u5e94\u7528\u53ef\u4ee5\u663e\u8457\u589e\u5f3a\u4fe1\u606f\u68c0\u7d22\u548c NLP \u4efb\u52a1\uff0c\u4f7f\u5176\u6210\u4e3a\u7814\u7a76\u4eba\u5458\u3001\u5f00\u53d1\u4eba\u5458\u548c\u4f01\u4e1a\u7684\u5b9d\u8d35\u5de5\u5177\u3002<\/p>","protected":false},"featured_media":470665,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-479277","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Term Frequency-Inverse Document Frequency (TF-IDF)<\/mark>","faq_items":[{"question":"What is Term Frequency-Inverse Document Frequency (TF-IDF)?","answer":"<p>Term Frequency-Inverse Document Frequency (TF-IDF) is a widely used technique in information retrieval and natural language processing. It measures the importance of a term within a collection of documents by considering its frequency in a specific document and comparing it to its occurrence in the entire corpus. TF-IDF plays a crucial role in search engines, text classification, document clustering, and content recommendation systems.<\/p>"},{"question":"How did TF-IDF originate, and who first mentioned it?","answer":"<p>The concept of TF-IDF can be traced back to the early 1970s. Gerard Salton first introduced the term \"term frequency\" in his work on information retrieval. Karen Sp\u00e4rck Jones later proposed the concept of \"inverse document frequency\" as part of her research on statistical natural language processing. The combination of these ideas led to the development of TF-IDF, popularized by Salton and Buckley in the late 1980s.<\/p>"},{"question":"How does TF-IDF work?","answer":"<p>TF-IDF operates on the idea that a term's importance increases with its frequency in a document and decreases with its occurrence across all documents. The TF-IDF score for a term in a document is calculated by multiplying its term frequency (TF) by its inverse document frequency (IDF). This score quantifies the term's relevance to the document relative to the entire corpus.<\/p>"},{"question":"What are the key features of TF-IDF?","answer":"<p>TF-IDF provides several key features, including assessing term importance, document ranking, keyword extraction, and content-based filtering. It is language-independent and applicable to various languages. However, it does not consider word order, semantics, or context, and may not be ideal for specialized domains requiring more advanced techniques.<\/p>"},{"question":"What types of TF-IDF exist?","answer":"<p>Different types of TF-IDF include raw term frequency, logarithmically scaled term frequency, double normalization TF, augmented term frequency, boolean term frequency, and smooth IDF. Each variant offers specific adjustments to address different scenarios.<\/p>"},{"question":"How can TF-IDF be used, and what problems may arise?","answer":"<p>TF-IDF is used in document search, text classification, keyword extraction, and more. However, it may face challenges such as term overrepresentation, handling rare terms, scaling impact, and out-of-vocabulary terms. Preprocessing, variant selection, and understanding the data are essential to address these issues.<\/p>"},{"question":"What are the future perspectives for TF-IDF?","answer":"<p>The future of TF-IDF involves advanced NLP techniques like transformers, domain-specific adaptations, multi-modal representations, and efforts towards interpretable AI. Hybrid approaches combining TF-IDF with newer techniques may lead to more accurate and robust systems.<\/p>"},{"question":"How are proxy servers associated with TF-IDF?","answer":"<p>Proxy servers and TF-IDF are not directly related, but proxy servers can be used in tasks like web scraping, distributed data collection, and multilingual data collection, enhancing data gathering and user privacy.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/wiki\/479277","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/wiki\/479277\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/media\/470665"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/media?parent=479277"}],"curies":[{"name":"\u53ef\u6e7f\u6027\u7c89\u5242","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}