{"id":981007,"date":"2024-12-27T06:58:59","date_gmt":"2024-12-26T22:58:59","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/981007.html"},"modified":"2024-12-27T06:59:03","modified_gmt":"2024-12-26T22:59:03","slug":"%e5%a6%82%e4%bd%95%e7%94%a8python%e5%ae%9e%e7%8e%b0lda","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/981007.html","title":{"rendered":"\u5982\u4f55\u7528python\u5b9e\u73b0lda"},"content":{"rendered":"

\"\u5982\u4f55\u7528python\u5b9e\u73b0lda\"<\/p>\n

\u8981\u7528Python\u5b9e\u73b0LDA\uff08Latent Dirichlet Allocation\uff09\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528\u73b0\u6709\u7684\u5e93\uff0c\u5982Gensim\u3001Scikit-learn\u7b49\u3002\u8fd9\u4e9b\u5e93\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u5de5\u5177\u6765\u8fdb\u884c\u4e3b\u9898\u5efa\u6a21\u3002\u6b65\u9aa4\u5305\u62ec\u6570\u636e\u9884\u5904\u7406\u3001\u521b\u5efa\u8bcd\u888b\u6a21\u578b\u3001\u8bad\u7ec3LDA\u6a21\u578b\u3001\u63d0\u53d6\u4e3b\u9898\u3002\u6570\u636e\u9884\u5904\u7406\u53ef\u4ee5\u5305\u62ec\u53bb\u9664\u505c\u7528\u8bcd\u3001\u8bcd\u5f62\u8fd8\u539f\u3001\u8bcd\u5e72\u63d0\u53d6\u7b49\u6b65\u9aa4\u3002<\/strong><\/p>\n<\/p>\n

\u6570\u636e\u9884\u5904\u7406<\/strong>\u662fLDA\u6a21\u578b\u6210\u529f\u7684\u57fa\u7840\u3002\u9884\u5904\u7406\u7684\u76ee\u6807\u662f\u5c06\u6587\u672c\u6570\u636e\u8f6c\u6362\u4e3aLDA\u53ef\u4ee5\u5904\u7406\u7684\u683c\u5f0f\u3002\u901a\u5e38\u5305\u62ec\u53bb\u9664\u505c\u7528\u8bcd\u3001\u8bcd\u5f62\u8fd8\u539f\u3001\u8bcd\u5e72\u63d0\u53d6\u7b49\u6b65\u9aa4\u3002\u4f8b\u5982\uff0c\u505c\u7528\u8bcd\u662f\u6307\u90a3\u4e9b\u9891\u7e41\u51fa\u73b0\u4f46\u5bf9\u4e3b\u9898\u8bc6\u522b\u6ca1\u6709\u5e2e\u52a9\u7684\u8bcd\uff0c\u5982\u201c\u7684\u201d\u3001\u201c\u5728\u201d\u7b49\u3002\u901a\u8fc7\u53bb\u9664\u8fd9\u4e9b\u8bcd\uff0c\u53ef\u4ee5\u63d0\u9ad8\u6a21\u578b\u7684\u7cbe\u786e\u5ea6\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u6570\u636e\u9884\u5904\u7406<\/strong><\/p>\n<\/p>\n

\u5728\u8fdb\u884cLDA\u4e4b\u524d\uff0c\u6570\u636e\u9884\u5904\u7406\u662f\u81f3\u5173\u91cd\u8981\u7684\u4e00\u6b65\u3002\u9884\u5904\u7406\u7684\u76ee\u7684\u662f\u7b80\u5316\u6570\u636e\uff0c\u53bb\u9664\u566a\u58f0\uff0c\u63d0\u9ad8\u6a21\u578b\u7684\u51c6\u786e\u6027\u3002\u5e38\u89c1\u7684\u9884\u5904\u7406\u6b65\u9aa4\u5305\u62ec\uff1a<\/p>\n<\/p>\n

    \n
  1. \n

    \u53bb\u9664\u505c\u7528\u8bcd<\/strong>
    \u505c\u7528\u8bcd\u662f\u6307\u90a3\u4e9b\u5728\u6587\u672c\u4e2d\u9891\u7e41\u51fa\u73b0\uff0c\u4f46\u5bf9\u6587\u672c\u4e3b\u9898\u65e0\u8d21\u732e\u7684\u8bcd\u8bed\uff0c\u5982\u201c\u7684\u201d\u3001\u201c\u5728\u201d\u3001\u201c\u548c\u201d\u7b49\u3002Python\u7684NLTK\u5e93\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u505c\u7528\u8bcd\u5e93\uff0c\u53ef\u4ee5\u5f88\u65b9\u4fbf\u5730\u53bb\u9664\u8fd9\u4e9b\u8bcd\u3002<\/p>\n<\/p>\n<\/li>\n

  2. \n

    \u8bcd\u5f62\u8fd8\u539f\u548c\u8bcd\u5e72\u63d0\u53d6<\/strong>
    \u8bcd\u5f62\u8fd8\u539f\u662f\u5c06\u8bcd\u6c47\u8fd8\u539f\u5230\u5176\u57fa\u672c\u5f62\u5f0f\uff0c\u5982\u201crunning\u201d\u8fd8\u539f\u4e3a\u201crun\u201d\u3002\u8bcd\u5e72\u63d0\u53d6\u5219\u662f\u53bb\u9664\u8bcd\u7f00\uff0c\u5c06\u8bcd\u6c47\u5316\u7b80\u4e3a\u8bcd\u5e72\u5f62\u5f0f\u3002NLTK\u548cspaCy\u90fd\u662f\u5b9e\u73b0\u8fd9\u4e9b\u529f\u80fd\u7684\u4f18\u79c0\u9009\u62e9\u3002<\/p>\n<\/p>\n<\/li>\n

  3. \n

    \u5206\u8bcd<\/strong>
    \u5c06\u6587\u672c\u5206\u5272\u4e3a\u5355\u72ec\u7684\u8bcd\u6c47\u662fLDA\u5904\u7406\u7684\u524d\u63d0\u3002\u53ef\u4ee5\u4f7f\u7528Python\u7684str.split()\u65b9\u6cd5\uff0c\u6216NLTK\u548cspaCy\u7b49\u5de5\u5177\u8fdb\u884c\u5206\u8bcd\u3002<\/p>\n<\/p>\n<\/li>\n

  4. \n

    \u8bcd\u888b\u6a21\u578b\u7684\u521b\u5efa<\/strong>
    \u5728\u8fdb\u884c\u4e0a\u8ff0\u6b65\u9aa4\u540e\uff0c\u6587\u672c\u9700\u8981\u88ab\u8f6c\u6362\u6210\u8bcd\u888b\u6a21\u578b\u3002\u8fd9\u662fLDA\u8f93\u5165\u7684\u683c\u5f0f\uff0c\u901a\u5e38\u4f7f\u7528Gensim\u5e93\u6765\u5b9e\u73b0\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n

    \u4e8c\u3001\u8bcd\u888b\u6a21\u578b\u548cTF-IDF<\/strong><\/p>\n<\/p>\n

    \u5728\u5b8c\u6210\u6570\u636e\u9884\u5904\u7406\u540e\uff0c\u63a5\u4e0b\u6765\u9700\u8981\u5c06\u6587\u672c\u6570\u636e\u8f6c\u6362\u4e3a\u8bcd\u888b\u6a21\u578b\uff08Bag of Words\uff09\u6216TF-IDF\uff08Term Frequency-Inverse Document Frequency\uff09\u683c\u5f0f\uff0c\u8fd9\u662fLDA\u6a21\u578b\u6240\u9700\u7684\u8f93\u5165\u683c\u5f0f\u3002<\/p>\n<\/p>\n

      \n
    1. \n

      \u8bcd\u888b\u6a21\u578b\uff08Bag of Words\uff09<\/strong>
      \u8bcd\u888b\u6a21\u578b\u662f\u6700\u7b80\u5355\u7684\u6587\u672c\u8868\u793a\u65b9\u6cd5\uff0c\u5b83\u5ffd\u7565\u8bcd\u6c47\u7684\u987a\u5e8f\uff0c\u4ec5\u5173\u6ce8\u8bcd\u6c47\u7684\u9891\u7387\u3002\u5728Gensim\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7Dictionary<\/code>\u548cdoc2bow<\/code>\u65b9\u6cd5\u8f7b\u677e\u5b9e\u73b0\u3002<\/p>\n<\/p>\n<\/li>\n

    2. \n

      TF-IDF<\/strong>
      TF-IDF\u662f\u4e00\u79cd\u6539\u8fdb\u7684\u8bcd\u888b\u6a21\u578b\uff0c\u5b83\u4e0d\u4ec5\u8003\u8651\u8bcd\u6c47\u7684\u9891\u7387\uff0c\u8fd8\u8003\u8651\u5176\u5728\u6574\u4e2a\u6587\u6863\u96c6\u4e2d\u7684\u91cd\u8981\u6027\u3002Gensim\u63d0\u4f9b\u4e86TfidfModel<\/code>\u7c7b\u6765\u5b9e\u73b0\u8fd9\u79cd\u8f6c\u6362\u3002<\/p>\n<\/p>\n<\/li>\n

    3. \n

      \u9009\u62e9\u5408\u9002\u7684\u8868\u793a\u65b9\u6cd5<\/strong>
      \u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0cTF-IDF\u53ef\u80fd\u6bd4\u8bcd\u888b\u6a21\u578b\u66f4\u6709\u6548\uff0c\u5c24\u5176\u662f\u5728\u6587\u672c\u957f\u5ea6\u4e0d\u5747\u5300\u6216\u4e3b\u9898\u5206\u5e03\u5e7f\u6cdb\u7684\u60c5\u51b5\u4e0b\u3002\u56e0\u6b64\uff0c\u9009\u62e9\u9002\u5408\u7684\u6570\u636e\u8868\u793a\u65b9\u6cd5\u5bf9\u4e8eLDA\u7684\u6548\u679c\u81f3\u5173\u91cd\u8981\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n

      \u4e09\u3001\u8bad\u7ec3LDA\u6a21\u578b<\/strong><\/p>\n<\/p>\n

      \u6709\u4e86\u5408\u9002\u7684\u6570\u636e\u8868\u793a\u540e\uff0c\u63a5\u4e0b\u6765\u5c31\u662f\u8bad\u7ec3LDA\u6a21\u578b\u3002\u5728Python\u4e2d\uff0cGensim\u5e93\u63d0\u4f9b\u4e86\u7b80\u4fbf\u7684\u65b9\u6cd5\u6765\u5b9e\u73b0\u8fd9\u4e00\u8fc7\u7a0b\u3002<\/p>\n<\/p>\n

        \n
      1. \n

        \u521d\u59cb\u5316LDA\u6a21\u578b<\/strong>
        \u4f7f\u7528Gensim\u7684LdaModel<\/code>\u7c7b\uff0c\u60a8\u53ef\u4ee5\u521d\u59cb\u5316\u4e00\u4e2aLDA\u6a21\u578b\u3002\u60a8\u9700\u8981\u6307\u5b9a\u4e3b\u9898\u6570\u3001\u8bcd\u5178\u548c\u8bed\u6599\u5e93\u7b49\u53c2\u6570\u3002<\/p>\n<\/p>\n<\/li>\n

      2. \n

        \u8bbe\u7f6e\u4e3b\u9898\u6570<\/strong>
        \u9009\u62e9\u5408\u9002\u7684\u4e3b\u9898\u6570\u662fLDA\u6a21\u578b\u6210\u529f\u7684\u5173\u952e\u3002\u53ef\u4ee5\u901a\u8fc7\u4ea4\u53c9\u9a8c\u8bc1\u3001\u4e3b\u9898\u4e00\u81f4\u6027\u8bc4\u5206\u7b49\u65b9\u6cd5\u6765\u786e\u5b9a\u6700\u4f73\u4e3b\u9898\u6570\u3002<\/p>\n<\/p>\n<\/li>\n

      3. \n

        \u8bad\u7ec3\u6a21\u578b<\/strong>
        \u901a\u8fc7\u8c03\u7528LdaModel<\/code>\u7684trAI<\/a>n<\/code>\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5f00\u59cb\u8bad\u7ec3\u6a21\u578b\u3002\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\uff0c\u6a21\u578b\u4f1a\u8fed\u4ee3\u8c03\u6574\uff0c\u4ee5\u627e\u51fa\u6700\u4f18\u7684\u4e3b\u9898\u5206\u5e03\u3002<\/p>\n<\/p>\n<\/li>\n

      4. \n

        \u8bc4\u4f30\u6a21\u578b<\/strong>
        \u8bad\u7ec3\u5b8c\u6210\u540e\uff0c\u8bc4\u4f30\u6a21\u578b\u7684\u6548\u679c\u662f\u5fc5\u4e0d\u53ef\u5c11\u7684\u3002\u60a8\u53ef\u4ee5\u4f7f\u7528\u4e3b\u9898\u4e00\u81f4\u6027\u3001\u56f0\u60d1\u5ea6\u7b49\u6307\u6807\u6765\u8bc4\u4f30\u6a21\u578b\u7684\u597d\u574f\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n

        \u56db\u3001\u63d0\u53d6\u548c\u89e3\u91ca\u4e3b\u9898<\/strong><\/p>\n<\/p>\n

        \u6a21\u578b\u8bad\u7ec3\u5b8c\u6210\u540e\uff0c\u4e0b\u4e00\u6b65\u662f\u63d0\u53d6\u4e3b\u9898\u5e76\u8fdb\u884c\u89e3\u91ca\u3002\u8fd9\u662fLDA\u5e94\u7528\u7684\u6838\u5fc3\u90e8\u5206\u3002<\/p>\n<\/p>\n

          \n
        1. \n

          \u63d0\u53d6\u4e3b\u9898<\/strong>
          \u4f7f\u7528Gensim\u7684show_topics<\/code>\u65b9\u6cd5\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u63d0\u53d6\u51fa\u6bcf\u4e2a\u4e3b\u9898\u7684\u5173\u952e\u8bcd\u3002\u5173\u952e\u8bcd\u7684\u6570\u91cf\u53ef\u4ee5\u6839\u636e\u9700\u8981\u8c03\u6574\u3002<\/p>\n<\/p>\n<\/li>\n

        2. \n

          \u4e3b\u9898\u53ef\u89c6\u5316<\/strong>
          \u4e3a\u4e86\u66f4\u76f4\u89c2\u5730\u7406\u89e3\u4e3b\u9898\u5206\u5e03\uff0c\u53ef\u4ee5\u4f7f\u7528pyLDAvis\u7b49\u5de5\u5177\u8fdb\u884c\u4e3b\u9898\u53ef\u89c6\u5316\u3002\u5b83\u53ef\u4ee5\u5e2e\u52a9\u60a8\u7406\u89e3\u4e3b\u9898\u4e4b\u95f4\u7684\u5173\u7cfb\u3001\u8bcd\u6c47\u7684\u8d21\u732e\u7b49\u4fe1\u606f\u3002<\/p>\n<\/p>\n<\/li>\n

        3. \n

          \u89e3\u91ca\u548c\u5e94\u7528\u4e3b\u9898<\/strong>
          \u6839\u636e\u63d0\u53d6\u7684\u4e3b\u9898\uff0c\u7ed3\u5408\u4e1a\u52a1\u9700\u6c42\uff0c\u8fdb\u884c\u5177\u4f53\u7684\u89e3\u91ca\u548c\u5e94\u7528\u3002\u4f8b\u5982\uff0c\u5728\u5e02\u573a\u5206\u6790\u4e2d\uff0c\u4e3b\u9898\u53ef\u4ee5\u5e2e\u52a9\u8bc6\u522b\u6d88\u8d39\u8005\u5174\u8da3\u548c\u8d8b\u52bf\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n

          \u4e94\u3001\u8d85\u53c2\u6570\u8c03\u4f18<\/strong><\/p>\n<\/p>\n

          \u4e3a\u4e86\u83b7\u5f97\u66f4\u597d\u7684\u6a21\u578b\u6548\u679c\uff0c\u8d85\u53c2\u6570\u8c03\u4f18\u662f\u5fc5\u4e0d\u53ef\u5c11\u7684\u6b65\u9aa4\u3002LDA\u6a21\u578b\u7684\u8d85\u53c2\u6570\u4e3b\u8981\u5305\u62ec\u4e3b\u9898\u6570\u3001\u8fed\u4ee3\u6b21\u6570\u3001\u4e3b\u9898\u7a00\u758f\u5ea6\u7b49\u3002<\/p>\n<\/p>\n

            \n
          1. \n

            \u4e3b\u9898\u6570\u7684\u9009\u62e9<\/strong>
            \u9009\u62e9\u5408\u9002\u7684\u4e3b\u9898\u6570\u662fLDA\u6a21\u578b\u6210\u529f\u7684\u5173\u952e\u3002\u53ef\u4ee5\u901a\u8fc7\u4ea4\u53c9\u9a8c\u8bc1\u3001\u4e3b\u9898\u4e00\u81f4\u6027\u8bc4\u5206\u7b49\u65b9\u6cd5\u6765\u786e\u5b9a\u6700\u4f73\u4e3b\u9898\u6570\u3002<\/p>\n<\/p>\n<\/li>\n

          2. \n

            \u4f18\u5316\u8fed\u4ee3\u6b21\u6570<\/strong>
            \u8fed\u4ee3\u6b21\u6570\u51b3\u5b9a\u4e86\u6a21\u578b\u8bad\u7ec3\u7684\u5145\u5206\u7a0b\u5ea6\u3002\u8fc7\u5c11\u7684\u8fed\u4ee3\u53ef\u80fd\u5bfc\u81f4\u6a21\u578b\u672a\u6536\u655b\uff0c\u800c\u8fc7\u591a\u7684\u8fed\u4ee3\u5219\u53ef\u80fd\u5bfc\u81f4\u8fc7\u62df\u5408\u3002<\/p>\n<\/p>\n<\/li>\n

          3. \n

            \u8c03\u6574\u4e3b\u9898\u7a00\u758f\u5ea6<\/strong>
            \u4e3b\u9898\u7a00\u758f\u5ea6\u63a7\u5236\u4e86\u6bcf\u4e2a\u6587\u6863\u4e2d\u4e3b\u9898\u7684\u5206\u5e03\u60c5\u51b5\u3002\u901a\u8fc7\u8c03\u6574\u8fd9\u4e00\u53c2\u6570\uff0c\u53ef\u4ee5\u5f71\u54cd\u4e3b\u9898\u7684\u9897\u7c92\u5ea6\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n

            \u516d\u3001\u6848\u4f8b\u5206\u6790<\/strong><\/p>\n<\/p>\n

            \u4e3a\u4e86\u66f4\u597d\u5730\u7406\u89e3LDA\u7684\u5e94\u7528\uff0c\u4e0b\u9762\u901a\u8fc7\u4e00\u4e2a\u5b9e\u9645\u6848\u4f8b\u8fdb\u884c\u5206\u6790\u3002<\/p>\n<\/p>\n

              \n
            1. \n

              \u6570\u636e\u96c6\u9009\u62e9<\/strong>
              \u9009\u62e9\u4e00\u4e2a\u5408\u9002\u7684\u6570\u636e\u96c6\u662f\u6848\u4f8b\u5206\u6790\u7684\u7b2c\u4e00\u6b65\u3002\u53ef\u4ee5\u4f7f\u7528\u516c\u5f00\u7684\u65b0\u95fb\u6570\u636e\u96c6\u3001\u793e\u4ea4\u5a92\u4f53\u6570\u636e\u7b49\u3002<\/p>\n<\/p>\n<\/li>\n

            2. \n

              \u6570\u636e\u9884\u5904\u7406\u548c\u6a21\u578b\u8bad\u7ec3<\/strong>
              \u6309\u7167\u524d\u8ff0\u6b65\u9aa4\u8fdb\u884c\u6570\u636e\u9884\u5904\u7406\u548c\u6a21\u578b\u8bad\u7ec3\u3002\u786e\u4fdd\u6570\u636e\u683c\u5f0f\u6b63\u786e\uff0c\u53c2\u6570\u9009\u62e9\u5408\u7406\u3002<\/p>\n<\/p>\n<\/li>\n

            3. \n

              \u4e3b\u9898\u63d0\u53d6\u548c\u5e94\u7528<\/strong>
              \u901a\u8fc7\u63d0\u53d6\u4e3b\u9898\uff0c\u5206\u6790\u6570\u636e\u96c6\u4e2d\u9690\u85cf\u7684\u4fe1\u606f\u3002\u4f8b\u5982\uff0c\u5728\u65b0\u95fb\u6570\u636e\u96c6\u4e2d\uff0c\u4e3b\u9898\u53ef\u4ee5\u5e2e\u52a9\u8bc6\u522b\u65f6\u4e8b\u70ed\u70b9\u548c\u65b0\u95fb\u7c7b\u522b\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n

              \u603b\u7ed3<\/strong><\/p>\n<\/p>\n

              \u901a\u8fc7\u4e0a\u8ff0\u6b65\u9aa4\uff0c\u60a8\u53ef\u4ee5\u5728Python\u4e2d\u5b9e\u73b0LDA\u4e3b\u9898\u5efa\u6a21\u3002\u6210\u529f\u7684LDA\u6a21\u578b\u4f9d\u8d56\u4e8e\u826f\u597d\u7684\u6570\u636e\u9884\u5904\u7406\u3001\u5408\u9002\u7684\u53c2\u6570\u9009\u62e9\u4ee5\u53ca\u51c6\u786e\u7684\u4e3b\u9898\u89e3\u91ca\u3002\u901a\u8fc7\u4e0d\u65ad\u7684\u5b9e\u8df5\u548c\u8c03\u6574\uff0c\u60a8\u53ef\u4ee5\u63d0\u9ad8LDA\u6a21\u578b\u7684\u6548\u679c\uff0c\u6316\u6398\u6587\u672c\u6570\u636e\u4e2d\u7684\u9690\u85cf\u4fe1\u606f\u3002<\/p>\n<\/p>\n

              \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n

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              \u5728Python\u4e2d\u5b9e\u73b0LDA\uff08Latent Dirichlet Allocation\uff09\u6a21\u578b\u901a\u5e38\u9700\u8981\u4f7f\u7528\u4e00\u4e9b\u6d41\u884c\u7684\u5e93\uff0c\u5982Gensim\u6216Scikit-learn\u3002\u9996\u5148\uff0c\u60a8\u9700\u8981\u51c6\u5907\u6587\u672c\u6570\u636e\u5e76\u8fdb\u884c\u9884\u5904\u7406\uff0c\u8fd9\u5305\u62ec\u53bb\u9664\u505c\u7528\u8bcd\u3001\u6807\u70b9\u7b26\u53f7\u4ee5\u53ca\u8bcd\u5e72\u63d0\u53d6\u3002\u63a5\u4e0b\u6765\uff0c\u4f7f\u7528Gensim\u7684Dictionary<\/code>\u548cCorpus<\/code>\u529f\u80fd\u5c06\u6587\u672c\u6570\u636e\u8f6c\u6362\u4e3aLDA\u6a21\u578b\u6240\u9700\u7684\u683c\u5f0f\u3002\u6700\u540e\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528LdaModel<\/code>\u6765\u8bad\u7ec3LDA\u6a21\u578b\uff0c\u5e76\u901a\u8fc7\u53ef\u89c6\u5316\u5de5\u5177\u5982pyLDAvis\u6765\u5206\u6790\u4e3b\u9898\u3002<\/p>\n

              \u5728\u4f7f\u7528LDA\u65f6\uff0c\u5982\u4f55\u9009\u62e9\u5408\u9002\u7684\u4e3b\u9898\u6570\u91cf\uff1f<\/strong>
              \u9009\u62e9\u5408\u9002\u7684\u4e3b\u9898\u6570\u91cf\u662fLDA\u5efa\u6a21\u4e2d\u7684\u5173\u952e\u56e0\u7d20\u3002\u53ef\u4ee5\u901a\u8fc7\u51e0\u79cd\u65b9\u6cd5\u6765\u786e\u5b9a\u6700\u4f73\u4e3b\u9898\u6570\u91cf\uff0c\u4f8b\u5982\u4f7f\u7528\u56f0\u60d1\u5ea6\uff08Perplexity\uff09\u548c\u4e00\u81f4\u6027\uff08Coherence\uff09\u5f97\u5206\u6765\u8bc4\u4f30\u6a21\u578b\u7684\u8868\u73b0\u3002\u4e00\u822c\u6765\u8bf4\uff0c\u60a8\u53ef\u4ee5\u5c1d\u8bd5\u591a\u4e2a\u4e3b\u9898\u6570\u91cf\uff0c\u5e76\u8bb0\u5f55\u6bcf\u4e2a\u6a21\u578b\u7684\u5f97\u5206\uff0c\u6700\u7ec8\u9009\u62e9\u5f97\u5206\u6700\u4f18\u7684\u4e3b\u9898\u6570\u91cf\u3002\u6b64\u5916\uff0c\u7ed3\u5408\u9886\u57df\u77e5\u8bc6\u548c\u5bf9\u6587\u672c\u6570\u636e\u7684\u7406\u89e3\u4e5f\u662f\u91cd\u8981\u7684\u53c2\u8003\u56e0\u7d20\u3002<\/p>\n

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              LDA\u6a21\u578b\u5728\u591a\u4e2a\u9886\u57df\u6709\u5e7f\u6cdb\u7684\u5e94\u7528\uff0c\u4e3b\u8981\u7528\u4e8e\u4e3b\u9898\u5efa\u6a21\u548c\u4fe1\u606f\u68c0\u7d22\u3002\u4f8b\u5982\uff0c\u5b83\u53ef\u4ee5\u5e2e\u52a9\u5206\u6790\u793e\u4ea4\u5a92\u4f53\u5e73\u53f0\u7684\u7528\u6237\u8bc4\u8bba\uff0c\u63d0\u53d6\u6f5c\u5728\u4e3b\u9898\u5e76\u7406\u89e3\u516c\u4f17\u60c5\u7eea\u3002\u6b64\u5916\uff0cLDA\u5728\u6587\u6863\u5206\u7c7b\u3001\u63a8\u8350\u7cfb\u7edf\u4ee5\u53ca\u5b66\u672f\u7814\u7a76\u4e2d\u4e5f\u88ab\u5e7f\u6cdb\u4f7f\u7528\uff0c\u901a\u8fc7\u8bc6\u522b\u6587\u6863\u4e4b\u95f4\u7684\u4e3b\u9898\u76f8\u4f3c\u6027\uff0c\u5e2e\u52a9\u7528\u6237\u66f4\u597d\u5730\u83b7\u53d6\u4fe1\u606f\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u8981\u7528Python\u5b9e\u73b0LDA\uff08Latent Dirichlet Allocation\uff09\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528\u73b0\u6709\u7684\u5e93\uff0c\u5982G […]","protected":false},"author":3,"featured_media":981019,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/981007"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=981007"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/981007\/revisions"}],"predecessor-version":[{"id":981022,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/981007\/revisions\/981022"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/981019"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=981007"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=981007"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=981007"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}