{"id":966041,"date":"2024-12-27T04:43:49","date_gmt":"2024-12-26T20:43:49","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/966041.html"},"modified":"2024-12-27T04:43:51","modified_gmt":"2024-12-26T20:43:51","slug":"%e5%a6%82%e4%bd%95%e5%88%a9%e7%94%a8python%e4%b8%ad%e6%96%87%e5%88%86%e8%af%8d","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/966041.html","title":{"rendered":"\u5982\u4f55\u5229\u7528python\u4e2d\u6587\u5206\u8bcd"},"content":{"rendered":"

\"\u5982\u4f55\u5229\u7528python\u4e2d\u6587\u5206\u8bcd\"<\/p>\n

\u5229\u7528Python\u8fdb\u884c\u4e2d\u6587\u5206\u8bcd\u7684\u5173\u952e\u5728\u4e8e\uff1a\u9009\u62e9\u5408\u9002\u7684\u5206\u8bcd\u5de5\u5177\u3001\u638c\u63e1\u57fa\u672c\u7528\u6cd5\u3001\u5904\u7406\u6587\u672c\u6570\u636e\u7684\u80fd\u529b<\/strong>\u3002\u5176\u4e2d\uff0c\u9009\u62e9\u5408\u9002\u7684\u5206\u8bcd\u5de5\u5177\u662f\u6700\u4e3a\u91cd\u8981\u7684\u4e00\u6b65\uff0c\u6bd4\u5982jieba\u5e93\uff0c\u5b83\u662f\u76ee\u524d\u4f7f\u7528\u6700\u5e7f\u6cdb\u3001\u529f\u80fd\u6700\u5f3a\u5927\u7684\u4e2d\u6587\u5206\u8bcd\u5de5\u5177\u4e4b\u4e00\u3002\u901a\u8fc7jieba\u5e93\uff0c\u7528\u6237\u53ef\u4ee5\u8f7b\u677e\u5b9e\u73b0\u7cbe\u786e\u6a21\u5f0f\u3001\u5168\u6a21\u5f0f\u548c\u641c\u7d22\u5f15\u64ce\u6a21\u5f0f\u7b49\u591a\u79cd\u5206\u8bcd\u65b9\u6cd5\uff0c\u6ee1\u8db3\u4e0d\u540c\u7684\u6587\u672c\u5904\u7406\u9700\u6c42\u3002\u5728\u5177\u4f53\u5e94\u7528\u4e2d\uff0c\u8fd8\u9700\u8981\u6839\u636e\u5b9e\u9645\u9700\u6c42\u5bf9\u5206\u8bcd\u7ed3\u679c\u8fdb\u884c\u8fdb\u4e00\u6b65\u5904\u7406\uff0c\u5982\u53bb\u9664\u505c\u7528\u8bcd\u3001\u8bcd\u6027\u6807\u6ce8\u7b49\uff0c\u4ee5\u63d0\u9ad8\u6587\u672c\u5206\u6790\u7684\u51c6\u786e\u6027\u548c\u6548\u7387\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u9009\u62e9\u5408\u9002\u7684\u5206\u8bcd\u5de5\u5177<\/p>\n<\/p>\n

Python\u4e2d\u6709\u591a\u79cd\u4e2d\u6587\u5206\u8bcd\u5de5\u5177\u53ef\u4f9b\u9009\u62e9\uff0c\u5176\u4e2d\u6700\u5e38\u7528\u7684\u6709jieba\u3001THULAC\u548cHanLP\u7b49\u3002\u6bcf\u79cd\u5de5\u5177\u90fd\u6709\u5176\u7279\u70b9\u548c\u9002\u7528\u573a\u666f\u3002<\/p>\n<\/p>\n

    \n
  1. \n

    Jieba<\/strong>\uff1aJieba\u662f\u4e00\u4e2a\u975e\u5e38\u6d41\u884c\u7684\u4e2d\u6587\u5206\u8bcd\u5e93\uff0c\u5177\u6709\u7b80\u5355\u6613\u7528\u3001\u5206\u8bcd\u51c6\u786e\u7684\u7279\u70b9\u3002Jieba\u652f\u6301\u4e09\u79cd\u5206\u8bcd\u6a21\u5f0f\uff1a\u7cbe\u786e\u6a21\u5f0f\u3001\u5168\u6a21\u5f0f\u548c\u641c\u7d22\u5f15\u64ce\u6a21\u5f0f\u3002\u7cbe\u786e\u6a21\u5f0f\u662f\u6700\u5e38\u7528\u7684\uff0c\u80fd\u591f\u7cbe\u786e\u5730\u5207\u5206\u51fa\u6587\u672c\u4e2d\u7684\u8bcd\u8bed\u3002<\/p>\n<\/p>\n<\/li>\n

  2. \n

    THULAC<\/strong>\uff1a\u7531\u6e05\u534e\u5927\u5b66\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4e0e\u793e\u4f1a\u4eba\u6587\u8ba1\u7b97\u5b9e\u9a8c\u5ba4\u5f00\u53d1\uff0c\u9664\u4e86\u5206\u8bcd\u529f\u80fd\u5916\uff0c\u8fd8\u63d0\u4f9b\u8bcd\u6027\u6807\u6ce8\u548c\u6587\u672c\u5206\u7c7b\u529f\u80fd\uff0c\u9002\u7528\u4e8e\u5bf9\u6587\u672c\u8fdb\u884c\u66f4\u6df1\u5c42\u6b21\u7684\u5206\u6790\u3002<\/p>\n<\/p>\n<\/li>\n

  3. \n

    HanLP<\/strong>\uff1aHanLP\u662f\u4e00\u4e2a\u529f\u80fd\u5168\u9762\u7684\u4e2d\u6587\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5e93\uff0c\u96c6\u6210\u4e86\u5206\u8bcd\u3001\u8bcd\u6027\u6807\u6ce8\u3001\u547d\u540d\u5b9e\u4f53\u8bc6\u522b\u3001\u4f9d\u5b58\u53e5\u6cd5\u5206\u6790\u7b49\u591a\u79cd\u529f\u80fd\uff0c\u9002\u5408\u5bf9\u6587\u672c\u8fdb\u884c\u590d\u6742\u7684\u5904\u7406\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n

    \u4e8c\u3001\u638c\u63e1\u57fa\u672c\u7528\u6cd5<\/p>\n<\/p>\n

    \u4ee5jieba\u4e3a\u4f8b\uff0c\u4e86\u89e3\u5176\u57fa\u672c\u7528\u6cd5\u662f\u8fdb\u884c\u4e2d\u6587\u5206\u8bcd\u7684\u5173\u952e\u3002\u4ee5\u4e0b\u662fjieba\u7684\u7b80\u5355\u7528\u6cd5\u4ecb\u7ecd\uff1a<\/p>\n<\/p>\n

      \n
    1. \n

      \u5b89\u88c5jieba<\/strong>\uff1a\u53ef\u4ee5\u901a\u8fc7pip\u547d\u4ee4\u8f7b\u677e\u5b89\u88c5jieba\u5e93\u3002<\/p>\n<\/p>\n

      pip install jieba<\/p>\n
      <\/code><\/pre>\n<\/p>\n<\/li>\n
    2. \n
      \u57fa\u672c\u5206\u8bcd<\/strong>\uff1ajieba\u63d0\u4f9b\u4e86\u4e09\u79cd\u5206\u8bcd\u6a21\u5f0f\uff0c\u7528\u6237\u53ef\u4ee5\u6839\u636e\u9700\u8981\u9009\u62e9\u5408\u9002\u7684\u6a21\u5f0f\u3002<\/p>\n<\/p>\n
      import jieba<\/p>\n
      \u7cbe\u786e\u6a21\u5f0f<\/strong><\/h2>\n
      seg_list = jieba.cut("\u6211\u6765\u5230\u5317\u4eac\u6e05\u534e\u5927\u5b66", cut_all=False)<\/p>\n
      print("\u7cbe\u786e\u6a21\u5f0f: " + "\/ ".join(seg_list))<\/p>\n
      \u5168\u6a21\u5f0f<\/strong><\/h2>\n
      seg_list = jieba.cut("\u6211\u6765\u5230\u5317\u4eac\u6e05\u534e\u5927\u5b66", cut_all=True)<\/p>\n
      print("\u5168\u6a21\u5f0f: " + "\/ ".join(seg_list))<\/p>\n
      \u641c\u7d22\u5f15\u64ce\u6a21\u5f0f<\/strong><\/h2>\n
      seg_list = jieba.cut_for_search("\u5c0f\u660e\u7855\u58eb\u6bd5\u4e1a\u4e8e\u4e2d\u56fd\u79d1\u5b66\u9662\u8ba1\u7b97\u6240\uff0c\u540e\u5728\u65e5\u672c\u4eac\u90fd\u5927\u5b66\u6df1\u9020")<\/p>\n
      print("\u641c\u7d22\u5f15\u64ce\u6a21\u5f0f: " + "\/ ".join(seg_list))<\/p>\n
      <\/code><\/pre>\n<\/p>\n<\/li>\n
    3. \n
      \u81ea\u5b9a\u4e49\u8bcd\u5178<\/strong>\uff1ajieba\u5141\u8bb8\u7528\u6237\u52a0\u8f7d\u81ea\u5b9a\u4e49\u8bcd\u5178\uff0c\u4ee5\u63d0\u9ad8\u5206\u8bcd\u7684\u51c6\u786e\u6027\u3002<\/p>\n<\/p>\n
      jieba.load_userdict("your_dict.txt")<\/p>\n
      <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
      \u4e09\u3001\u5904\u7406\u6587\u672c\u6570\u636e\u7684\u80fd\u529b<\/p>\n<\/p>\n
      \u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u4e2d\u6587\u5206\u8bcd\u53ea\u662f\u6587\u672c\u5904\u7406\u7684\u7b2c\u4e00\u6b65\uff0c\u540e\u7eed\u8fd8\u9700\u8981\u8fdb\u884c\u6570\u636e\u6e05\u6d17\u3001\u53bb\u9664\u505c\u7528\u8bcd\u3001\u8bcd\u6027\u6807\u6ce8\u7b49\u5904\u7406\u3002<\/p>\n<\/p>\n
        \n
      1. \n
        \u53bb\u9664\u505c\u7528\u8bcd<\/strong>\uff1a\u505c\u7528\u8bcd\u662f\u6307\u4e00\u4e9b\u5728\u6587\u672c\u5904\u7406\u4e2d\u6ca1\u6709\u5b9e\u9645\u610f\u4e49\u7684\u8bcd\u8bed\uff0c\u5982\u201c\u7684\u201d\u3001\u201c\u4e86\u201d\u3001\u201c\u5728\u201d\u7b49\u3002\u53bb\u9664\u505c\u7528\u8bcd\u80fd\u591f\u63d0\u9ad8\u6587\u672c\u5206\u6790\u7684\u51c6\u786e\u6027\u3002<\/p>\n<\/p>\n
        def remove_stopwords(seg_list, stopwords):<\/p>\n
            return [word for word in seg_list if word not in stopwords]<\/p>\n
        \u52a0\u8f7d\u505c\u7528\u8bcd\u8868<\/strong><\/h2>\n
        with open("stopwords.txt", 'r', encoding='utf-8') as f:<\/p>\n
            stopwords = set(f.read().splitlines())<\/p>\n
        \u53bb\u9664\u505c\u7528\u8bcd<\/strong><\/h2>\n
        seg_list = remove_stopwords(seg_list, stopwords)<\/p>\n
        <\/code><\/pre>\n<\/p>\n<\/li>\n
      2. \n
        \u8bcd\u6027\u6807\u6ce8<\/strong>\uff1a\u5bf9\u5206\u8bcd\u7ed3\u679c\u8fdb\u884c\u8bcd\u6027\u6807\u6ce8\uff0c\u6709\u52a9\u4e8e\u8fdb\u4e00\u6b65\u7684\u6587\u672c\u5206\u6790\u548c\u5904\u7406\u3002jieba.posseg\u6a21\u5757\u53ef\u4ee5\u5b9e\u73b0\u8bcd\u6027\u6807\u6ce8\u3002<\/p>\n<\/p>\n
        import jieba.posseg as pseg<\/p>\n
        words = pseg.cut("\u6211\u7231\u5317\u4eac\u5929\u5b89\u95e8")<\/p>\n
        for word, flag in words:<\/p>\n
            print(f"{word} {flag}")<\/p>\n
        <\/code><\/pre>\n<\/p>\n<\/li>\n
      3. \n
        \u6587\u672c\u6570\u636e\u6e05\u6d17<\/strong>\uff1a\u5728\u5206\u8bcd\u524d\uff0c\u901a\u5e38\u9700\u8981\u5bf9\u6587\u672c\u8fdb\u884c\u6e05\u6d17\uff0c\u5982\u53bb\u9664\u6807\u70b9\u7b26\u53f7\u3001\u6570\u5b57\u548c\u5176\u4ed6\u65e0\u5173\u5b57\u7b26\uff0c\u4ee5\u4fdd\u8bc1\u5206\u8bcd\u7684\u51c6\u786e\u6027\u3002<\/p>\n<\/p>\n
        import re<\/p>\n
        def clean_text(text):<\/p>\n
            # \u53bb\u9664\u6807\u70b9\u7b26\u53f7\u548c\u6570\u5b57<\/p>\n
            text = re.sub(r'[^\\w\\s]', '', text)<\/p>\n
            text = re.sub(r'\\d+', '', text)<\/p>\n
            return text<\/p>\n
        <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
        \u56db\u3001\u4e2d\u6587\u5206\u8bcd\u7684\u5e94\u7528\u573a\u666f<\/p>\n<\/p>\n
        \u4e2d\u6587\u5206\u8bcd\u5728\u8bb8\u591a\u9886\u57df\u90fd\u6709\u5e7f\u6cdb\u7684\u5e94\u7528\uff0c\u4ee5\u4e0b\u662f\u51e0\u4e2a\u5e38\u89c1\u7684\u5e94\u7528\u573a\u666f\uff1a<\/p>\n<\/p>\n
          \n
        1. \n
          \u4fe1\u606f\u68c0\u7d22<\/strong>\uff1a\u5728\u641c\u7d22\u5f15\u64ce\u4e2d\uff0c\u5206\u8bcd\u6280\u672f\u7528\u4e8e\u5c06\u7528\u6237\u7684\u67e5\u8be2\u62c6\u5206\u4e3a\u5173\u952e\u8bcd\uff0c\u4ece\u800c\u63d0\u9ad8\u641c\u7d22\u7ed3\u679c\u7684\u51c6\u786e\u6027\u548c\u76f8\u5173\u6027\u3002<\/p>\n<\/p>\n<\/li>\n
        2. \n
          \u6587\u672c\u5206\u7c7b\u548c\u805a\u7c7b<\/strong>\uff1a\u5206\u8bcd\u662f\u6587\u672c\u5206\u7c7b\u548c\u805a\u7c7b\u7684\u524d\u63d0\uff0c\u901a\u8fc7\u5206\u8bcd\u53ef\u4ee5\u5c06\u6587\u672c\u8f6c\u5316\u4e3a\u8bcd\u5411\u91cf\uff0c\u8fdb\u800c\u8fdb\u884c\u5206\u7c7b\u548c\u805a\u7c7b\u3002<\/p>\n<\/p>\n<\/li>\n
        3. \n
          \u60c5\u611f\u5206\u6790<\/strong>\uff1a\u5206\u8bcd\u5728\u60c5\u611f\u5206\u6790\u4e2d\u7528\u4e8e\u63d0\u53d6\u6587\u672c\u4e2d\u7684\u60c5\u611f\u8bcd\uff0c\u4ece\u800c\u5224\u65ad\u6587\u672c\u7684\u60c5\u611f\u503e\u5411\u3002<\/p>\n<\/p>\n<\/li>\n
        4. \n
          \u673a\u5668\u7ffb\u8bd1<\/strong>\uff1a\u5728\u673a\u5668\u7ffb\u8bd1\u4e2d\uff0c\u5206\u8bcd\u6280\u672f\u7528\u4e8e\u5c06\u4e2d\u6587\u6587\u672c\u62c6\u5206\u4e3a\u57fa\u672c\u7684\u7ffb\u8bd1\u5355\u5143\uff0c\u63d0\u9ad8\u7ffb\u8bd1\u7684\u51c6\u786e\u6027\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
          \u4e94\u3001\u63d0\u9ad8\u5206\u8bcd\u6548\u7387\u548c\u51c6\u786e\u6027\u7684\u65b9\u6cd5<\/p>\n<\/p>\n
          \u5728\u8fdb\u884c\u4e2d\u6587\u5206\u8bcd\u65f6\uff0c\u6548\u7387\u548c\u51c6\u786e\u6027\u662f\u4e24\u4e2a\u91cd\u8981\u7684\u8003\u91cf\u56e0\u7d20\u3002\u4ee5\u4e0b\u662f\u63d0\u9ad8\u5206\u8bcd\u6548\u7387\u548c\u51c6\u786e\u6027\u7684\u4e00\u4e9b\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n
            \n
          1. \n
            \u4f18\u5316\u8bcd\u5178<\/strong>\uff1a\u901a\u8fc7\u52a0\u8f7d\u81ea\u5b9a\u4e49\u8bcd\u5178\uff0c\u589e\u52a0\u7279\u5b9a\u9886\u57df\u7684\u8bcd\u6c47\uff0c\u53ef\u4ee5\u63d0\u9ad8\u5206\u8bcd\u7684\u51c6\u786e\u6027\u3002<\/p>\n<\/p>\n<\/li>\n
          2. \n
            \u5e76\u884c\u5904\u7406<\/strong>\uff1a\u5bf9\u4e8e\u5927\u89c4\u6a21\u6587\u672c\u6570\u636e\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u7ebf\u7a0b\u6216\u591a\u8fdb\u7a0b\u6280\u672f\u8fdb\u884c\u5e76\u884c\u5206\u8bcd\uff0c\u63d0\u5347\u5904\u7406\u6548\u7387\u3002<\/p>\n<\/p>\n<\/li>\n
          3. \n
            \u7ed3\u5408\u8bcd\u6027\u6807\u6ce8\u548c\u547d\u540d\u5b9e\u4f53\u8bc6\u522b<\/strong>\uff1a\u901a\u8fc7\u7ed3\u5408\u8bcd\u6027\u6807\u6ce8\u548c\u547d\u540d\u5b9e\u4f53\u8bc6\u522b\u6280\u672f\uff0c\u53ef\u4ee5\u63d0\u9ad8\u5206\u8bcd\u7684\u51c6\u786e\u6027\uff0c\u7279\u522b\u662f\u5728\u5904\u7406\u4e13\u6709\u540d\u8bcd\u65f6\u3002<\/p>\n<\/p>\n<\/li>\n
          4. \n
            \u4f7f\u7528\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b<\/strong>\uff1a\u8fd1\u5e74\u6765\uff0c\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u5206\u8bcd\u6a21\u578b\uff08\u5982BERT\u7b49\uff09\u9010\u6e10\u6210\u719f\uff0c\u5b83\u4eec\u80fd\u591f\u6709\u6548\u63d0\u9ad8\u5206\u8bcd\u7684\u51c6\u786e\u6027\uff0c\u5c24\u5176\u662f\u5728\u5904\u7406\u590d\u6742\u6587\u672c\u65f6\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
            \u516d\u3001\u5206\u8bcd\u7ed3\u679c\u7684\u5206\u6790\u4e0e\u5e94\u7528<\/p>\n<\/p>\n
            \u5728\u83b7\u5f97\u5206\u8bcd\u7ed3\u679c\u540e\uff0c\u5206\u6790\u8fd9\u4e9b\u7ed3\u679c\u662f\u6587\u672c\u5904\u7406\u7684\u5173\u952e\u6b65\u9aa4\u3002\u901a\u8fc7\u5206\u6790\u5206\u8bcd\u7ed3\u679c\uff0c\u53ef\u4ee5\u4ece\u4e2d\u63d0\u53d6\u6709\u4ef7\u503c\u7684\u4fe1\u606f\u3002<\/p>\n<\/p>\n
              \n
            1. \n
              \u8bcd\u9891\u7edf\u8ba1<\/strong>\uff1a\u7edf\u8ba1\u6bcf\u4e2a\u8bcd\u5728\u6587\u672c\u4e2d\u51fa\u73b0\u7684\u9891\u7387\uff0c\u53ef\u4ee5\u5e2e\u52a9\u8bc6\u522b\u6587\u672c\u7684\u4e3b\u9898\u548c\u5173\u952e\u8bcd\u3002<\/p>\n<\/p>\n
              from collections import Counter<\/p>\n
              word_counts = Counter(seg_list)<\/p>\n
              top_words = word_counts.most_common(10)<\/p>\n
              print(top_words)<\/p>\n
              <\/code><\/pre>\n<\/p>\n<\/li>\n
            2. \n
              \u8bcd\u4e91\u56fe<\/strong>\uff1a\u901a\u8fc7\u8bcd\u4e91\u56fe\u53ef\u4ee5\u76f4\u89c2\u5730\u5c55\u793a\u6587\u672c\u4e2d\u8bcd\u8bed\u7684\u9891\u7387\u548c\u91cd\u8981\u6027\u3002<\/p>\n<\/p>\n
              from wordcloud import WordCloud<\/p>\n
              import matplotlib.pyplot as plt<\/p>\n
              wordcloud = WordCloud(font_path='simhei.ttf', width=800, height=400).generate(" ".join(seg_list))<\/p>\n
              plt.imshow(wordcloud, interpolation='bilinear')<\/p>\n
              plt.axis("off")<\/p>\n
              plt.show()<\/p>\n
              <\/code><\/pre>\n<\/p>\n<\/li>\n
            3. \n
              \u4e3b\u9898\u6a21\u578b<\/strong>\uff1a\u901a\u8fc7\u4e3b\u9898\u6a21\u578b\uff08\u5982LDA\u6a21\u578b\uff09\u53ef\u4ee5\u8bc6\u522b\u6587\u672c\u4e2d\u6f5c\u5728\u7684\u4e3b\u9898\u7ed3\u6784\u3002<\/p>\n<\/p>\n
              from gensim import corpora, models<\/p>\n
              dictionary = corpora.Dictionary([seg_list])<\/p>\n
              corpus = [dictionary.doc2bow(seg_list)]<\/p>\n
              lda_model = models.LdaModel(corpus, num_topics=2, id2word=dictionary, passes=15)<\/p>\n
              topics = lda_model.print_topics()<\/p>\n
              for topic in topics:<\/p>\n
                  print(topic)<\/p>\n
              <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
              \u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\uff0c\u4e2d\u6587\u5206\u8bcd\u5728\u81ea\u7136\u8bed\u8a00\u5904\u7406\u9886\u57df\u4e2d\u626e\u6f14\u7740\u91cd\u8981\u7684\u89d2\u8272\uff0c\u638c\u63e1\u4e2d\u6587\u5206\u8bcd\u6280\u672f\uff0c\u4e0d\u4ec5\u80fd\u591f\u63d0\u9ad8\u6587\u672c\u5206\u6790\u7684\u51c6\u786e\u6027\u548c\u6548\u7387\uff0c\u8fd8\u80fd\u4e3a\u540e\u7eed\u7684\u6587\u672c\u5904\u7406\u548c\u5206\u6790\u63d0\u4f9b\u575a\u5b9e\u7684\u57fa\u7840\u3002\u65e0\u8bba\u662f\u5728\u5b66\u672f\u7814\u7a76\u4e2d\uff0c\u8fd8\u662f\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u4e2d\u6587\u5206\u8bcd\u90fd\u662f\u4e00\u9879\u975e\u5e38\u5b9e\u7528\u7684\u6280\u80fd\u3002\u5e0c\u671b\u901a\u8fc7\u5bf9\u672c\u6587\u7684\u5b66\u4e60\uff0c\u60a8\u80fd\u591f\u5728\u81ea\u5df1\u7684\u9879\u76ee\u4e2d\u7075\u6d3b\u5e94\u7528\u4e2d\u6587\u5206\u8bcd\u6280\u672f\uff0c\u5e76\u4ece\u4e2d\u83b7\u5f97\u66f4\u591a\u7684\u6d1e\u5bdf\u548c\u4ef7\u503c\u3002<\/p>\n<\/p>\n
              \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
               \u5982\u4f55\u9009\u62e9\u5408\u9002\u7684\u4e2d\u6587\u5206\u8bcd\u5e93\uff1f<\/strong>
              \u5728Python\u4e2d\uff0c\u6709\u51e0\u4e2a\u6d41\u884c\u7684\u4e2d\u6587\u5206\u8bcd\u5e93\u53ef\u4f9b\u9009\u62e9\uff0c\u5982Jieba\u3001THULAC\u3001\u548cpkuseg\u7b49\u3002\u9009\u62e9\u5408\u9002\u7684\u5e93\u65f6\uff0c\u9700\u8981\u8003\u8651\u5206\u8bcd\u7684\u51c6\u786e\u5ea6\u3001\u901f\u5ea6\u548c\u4f7f\u7528\u7684\u4fbf\u6377\u6027\u3002Jieba\u662f\u6700\u5e38\u7528\u7684\u5e93\uff0c\u9002\u5408\u5927\u591a\u6570\u5e94\u7528\u573a\u666f\uff0c\u800cTHULAC\u548cpkuseg\u5728\u67d0\u4e9b\u7279\u5b9a\u9886\u57df\u53ef\u80fd\u8868\u73b0\u66f4\u4f73\u3002<\/p>\n
              \u4e2d\u6587\u5206\u8bcd\u7684\u5e94\u7528\u573a\u666f\u6709\u54ea\u4e9b\uff1f<\/strong>
              \u4e2d\u6587\u5206\u8bcd\u5728\u591a\u4e2a\u9886\u57df\u4e2d\u53d1\u6325\u91cd\u8981\u4f5c\u7528\uff0c\u5305\u62ec\u81ea\u7136\u8bed\u8a00\u5904\u7406\u3001\u6587\u672c\u5206\u6790\u3001\u641c\u7d22\u5f15\u64ce\u4f18\u5316\u3001\u8206\u60c5\u76d1\u6d4b\u7b49\u3002\u901a\u8fc7\u7cbe\u51c6\u7684\u5206\u8bcd\uff0c\u53ef\u4ee5\u63d0\u5347\u6587\u672c\u7684\u53ef\u8bfb\u6027\uff0c\u6539\u5584\u4fe1\u606f\u68c0\u7d22\u7684\u7cbe\u786e\u5ea6\uff0c\u4e5f\u80fd\u4e3a\u60c5\u611f\u5206\u6790\u548c\u673a\u5668\u5b66\u4e60<\/a>\u6a21\u578b\u63d0\u4f9b\u66f4\u597d\u7684\u8f93\u5165\u6570\u636e\u3002<\/p>\n
              \u5982\u4f55\u63d0\u9ad8\u4e2d\u6587\u5206\u8bcd\u7684\u51c6\u786e\u6027\uff1f<\/strong>
              \u4e3a\u4e86\u63d0\u9ad8\u4e2d\u6587\u5206\u8bcd\u7684\u51c6\u786e\u6027\uff0c\u53ef\u4ee5\u901a\u8fc7\u6dfb\u52a0\u81ea\u5b9a\u4e49\u8bcd\u5178\u6765\u589e\u5f3a\u5206\u8bcd\u6548\u679c\u3002\u7528\u6237\u53ef\u4ee5\u5c06\u884c\u4e1a\u7279\u5b9a\u7684\u672f\u8bed\u3001\u5e38\u7528\u7684\u540d\u79f0\u6216\u65b0\u8bcd\u6dfb\u52a0\u5230\u5206\u8bcd\u5e93\u4e2d\uff0c\u4ece\u800c\u63d0\u9ad8\u5206\u8bcd\u7684\u7cbe\u786e\u5ea6\u3002\u6b64\u5916\uff0c\u8fd8\u53ef\u4ee5\u6839\u636e\u8bed\u5883\u8fdb\u884c\u8c03\u6574\uff0c\u9009\u62e9\u4e0d\u540c\u7684\u5206\u8bcd\u6a21\u5f0f\u6765\u9002\u5e94\u4e0d\u540c\u7684\u9700\u6c42\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5229\u7528Python\u8fdb\u884c\u4e2d\u6587\u5206\u8bcd\u7684\u5173\u952e\u5728\u4e8e\uff1a\u9009\u62e9\u5408\u9002\u7684\u5206\u8bcd\u5de5\u5177\u3001\u638c\u63e1\u57fa\u672c\u7528\u6cd5\u3001\u5904\u7406\u6587\u672c\u6570\u636e\u7684\u80fd\u529b\u3002\u5176\u4e2d\uff0c\u9009\u62e9\u5408\u9002\u7684 […]","protected":false},"author":3,"featured_media":966048,"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\/966041"}],"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=966041"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/966041\/revisions"}],"predecessor-version":[{"id":966051,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/966041\/revisions\/966051"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/966048"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=966041"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=966041"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=966041"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}