{"id":1034198,"date":"2024-12-31T11:48:15","date_gmt":"2024-12-31T03:48:15","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1034198.html"},"modified":"2024-12-31T11:48:17","modified_gmt":"2024-12-31T03:48:17","slug":"python%e5%a6%82%e4%bd%95%e5%b0%86%e6%83%85%e6%84%9f%e5%88%86%e4%b8%ba8%e7%a7%8d","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1034198.html","title":{"rendered":"Python\u5982\u4f55\u5c06\u60c5\u611f\u5206\u4e3a8\u79cd"},"content":{"rendered":"

\"Python\u5982\u4f55\u5c06\u60c5\u611f\u5206\u4e3a8\u79cd\"<\/p>\n

Python\u5c06\u60c5\u611f\u5206\u4e3a8\u79cd\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528\u60c5\u611f\u8bcd\u5178\u3001\u673a\u5668\u5b66\u4e60<\/a>\u6a21\u578b\u3001\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u3001\u6587\u672c\u9884\u5904\u7406\u3001\u7279\u5f81\u63d0\u53d6\u3001\u8bad\u7ec3\u6a21\u578b\u3001\u60c5\u611f\u5206\u7c7b\u3001\u53ef\u89c6\u5316\u7ed3\u679c<\/strong>\u3002\u5176\u4e2d\uff0c\u4f7f\u7528\u60c5\u611f\u8bcd\u5178<\/strong>\u662f\u6700\u57fa\u7840\u4e5f\u662f\u6700\u5e38\u7528\u7684\u65b9\u6cd5\u4e4b\u4e00\u3002\u60c5\u611f\u8bcd\u5178\u662f\u9884\u5148\u5b9a\u4e49\u597d\u7684\u8bcd\u6c47\u8868\uff0c\u5305\u542b\u4e86\u5927\u91cf\u5177\u6709\u60c5\u611f\u503e\u5411\u7684\u8bcd\u6c47\uff0c\u5e76\u5c06\u8fd9\u4e9b\u8bcd\u6c47\u5206\u4e3a\u4e0d\u540c\u7684\u60c5\u611f\u7c7b\u522b\u3002\u901a\u8fc7\u5339\u914d\u6587\u672c\u4e2d\u7684\u8bcd\u6c47\u4e0e\u60c5\u611f\u8bcd\u5178\u4e2d\u7684\u8bcd\u6c47\uff0c\u53ef\u4ee5\u521d\u6b65\u5224\u65ad\u6587\u672c\u7684\u60c5\u611f\u503e\u5411\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528\u60c5\u611f\u8bcd\u5178<\/h3>\n<\/p>\n

\u60c5\u611f\u8bcd\u5178\u662f\u4e00\u79cd\u9884\u5b9a\u4e49\u7684\u60c5\u611f\u8bcd\u6c47\u8868\uff0c\u5176\u4e2d\u7684\u6bcf\u4e2a\u8bcd\u6c47\u90fd\u88ab\u5206\u914d\u4e86\u4e00\u4e2a\u6216\u591a\u4e2a\u60c5\u611f\u6807\u7b7e\u3002\u4f7f\u7528\u60c5\u611f\u8bcd\u5178\u8fdb\u884c\u60c5\u611f\u5206\u7c7b\u7684\u65b9\u6cd5\u4e3b\u8981\u5305\u62ec\u4ee5\u4e0b\u51e0\u4e2a\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n

1\u3001\u51c6\u5907\u60c5\u611f\u8bcd\u5178<\/h4>\n<\/p>\n

\u9996\u5148\uff0c\u9700\u8981\u51c6\u5907\u4e00\u4e2a\u5305\u542b8\u79cd\u60c5\u611f\u7684\u8bcd\u5178\u3002\u5e38\u89c1\u7684\u60c5\u611f\u7c7b\u522b\u5305\u62ec\uff1a\u559c\u60a6\u3001\u6124\u6012\u3001\u60b2\u4f24\u3001\u6050\u60e7\u3001\u60ca\u8bb6\u3001\u538c\u6076\u3001\u4fe1\u4efb\u3001\u671f\u5f85\u3002\u53ef\u4ee5\u4f7f\u7528\u5df2\u6709\u7684\u60c5\u611f\u8bcd\u5178\uff0c\u4f8b\u5982NRC\u60c5\u611f\u8bcd\u5178\uff0c\u6216\u6839\u636e\u5177\u4f53\u9700\u6c42\u81ea\u5b9a\u4e49\u60c5\u611f\u8bcd\u5178\u3002<\/p>\n<\/p>\n

2\u3001\u6587\u672c\u9884\u5904\u7406<\/h4>\n<\/p>\n

\u5728\u5bf9\u6587\u672c\u8fdb\u884c\u60c5\u611f\u5206\u7c7b\u4e4b\u524d\uff0c\u9700\u8981\u5bf9\u6587\u672c\u8fdb\u884c\u9884\u5904\u7406\u3002\u9884\u5904\u7406\u6b65\u9aa4\u901a\u5e38\u5305\u62ec\u53bb\u9664\u6807\u70b9\u7b26\u53f7\u3001\u8f6c\u6362\u4e3a\u5c0f\u5199\u3001\u5206\u8bcd\u7b49\u64cd\u4f5c\u3002\u8fd9\u4e9b\u64cd\u4f5c\u6709\u52a9\u4e8e\u63d0\u9ad8\u60c5\u611f\u5206\u7c7b\u7684\u51c6\u786e\u6027\u3002<\/p>\n<\/p>\n

3\u3001\u5339\u914d\u60c5\u611f\u8bcd\u6c47<\/h4>\n<\/p>\n

\u5c06\u9884\u5904\u7406\u540e\u7684\u6587\u672c\u4e0e\u60c5\u611f\u8bcd\u5178\u8fdb\u884c\u5339\u914d\uff0c\u7edf\u8ba1\u6587\u672c\u4e2d\u6bcf\u79cd\u60c5\u611f\u8bcd\u6c47\u7684\u51fa\u73b0\u9891\u7387\u3002\u53ef\u4ee5\u4f7f\u7528Python\u4e2d\u7684\u6b63\u5219\u8868\u8fbe\u5f0f\u6216\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5e93\uff08\u5982NLTK\u3001spaCy\uff09\u6765\u5b9e\u73b0\u8fd9\u4e00\u8fc7\u7a0b\u3002<\/p>\n<\/p>\n

4\u3001\u60c5\u611f\u5206\u7c7b<\/h4>\n<\/p>\n

\u6839\u636e\u6bcf\u79cd\u60c5\u611f\u8bcd\u6c47\u7684\u51fa\u73b0\u9891\u7387\uff0c\u5bf9\u6587\u672c\u8fdb\u884c\u60c5\u611f\u5206\u7c7b\u3002\u53ef\u4ee5\u4f7f\u7528\u7b80\u5355\u7684\u8ba1\u6570\u65b9\u6cd5\u6216\u52a0\u6743\u65b9\u6cd5\u6765\u786e\u5b9a\u6587\u672c\u7684\u4e3b\u8981\u60c5\u611f\u7c7b\u522b\u3002<\/p>\n<\/p>\n

\u4e8c\u3001\u673a\u5668\u5b66\u4e60\u6a21\u578b<\/h3>\n<\/p>\n

\u673a\u5668\u5b66\u4e60\u6a21\u578b\u662f\u53e6\u4e00\u79cd\u5e38\u7528\u7684\u60c5\u611f\u5206\u7c7b\u65b9\u6cd5\u3002\u4e0e\u60c5\u611f\u8bcd\u5178\u76f8\u6bd4\uff0c\u673a\u5668\u5b66\u4e60\u6a21\u578b\u53ef\u4ee5\u5904\u7406\u66f4\u590d\u6742\u7684\u60c5\u611f\u5206\u7c7b\u4efb\u52a1\uff0c\u5e76\u4e14\u5177\u6709\u66f4\u9ad8\u7684\u7075\u6d3b\u6027\u548c\u51c6\u786e\u6027\u3002\u4f7f\u7528\u673a\u5668\u5b66\u4e60\u6a21\u578b\u8fdb\u884c\u60c5\u611f\u5206\u7c7b\u7684\u65b9\u6cd5\u4e3b\u8981\u5305\u62ec\u4ee5\u4e0b\u51e0\u4e2a\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n

1\u3001\u51c6\u5907\u8bad\u7ec3\u6570\u636e<\/h4>\n<\/p>\n

\u9996\u5148\uff0c\u9700\u8981\u51c6\u5907\u4e00\u4e2a\u6807\u6ce8\u597d\u7684\u8bad\u7ec3\u6570\u636e\u96c6\u3002\u8bad\u7ec3\u6570\u636e\u96c6\u901a\u5e38\u5305\u62ec\u5927\u91cf\u7684\u6587\u672c\u6837\u672c\uff0c\u6bcf\u4e2a\u6837\u672c\u90fd\u88ab\u6807\u6ce8\u4e86\u4e00\u4e2a\u6216\u591a\u4e2a\u60c5\u611f\u6807\u7b7e\u3002\u53ef\u4ee5\u4f7f\u7528\u5df2\u6709\u7684\u60c5\u611f\u6570\u636e\u96c6\uff0c\u4f8b\u5982IMDB\u7535\u5f71\u8bc4\u8bba\u6570\u636e\u96c6\uff0c\u6216\u6839\u636e\u5177\u4f53\u9700\u6c42\u81ea\u5b9a\u4e49\u6570\u636e\u96c6\u3002<\/p>\n<\/p>\n

2\u3001\u6587\u672c\u9884\u5904\u7406<\/h4>\n<\/p>\n

\u4e0e\u60c5\u611f\u8bcd\u5178\u65b9\u6cd5\u7c7b\u4f3c\uff0c\u673a\u5668\u5b66\u4e60\u6a21\u578b\u4e5f\u9700\u8981\u5bf9\u6587\u672c\u8fdb\u884c\u9884\u5904\u7406\u3002\u9884\u5904\u7406\u6b65\u9aa4\u901a\u5e38\u5305\u62ec\u53bb\u9664\u6807\u70b9\u7b26\u53f7\u3001\u8f6c\u6362\u4e3a\u5c0f\u5199\u3001\u5206\u8bcd\u3001\u53bb\u9664\u505c\u7528\u8bcd\u3001\u8bcd\u5e72\u63d0\u53d6\u7b49\u64cd\u4f5c\u3002\u8fd9\u4e9b\u64cd\u4f5c\u6709\u52a9\u4e8e\u63d0\u9ad8\u6a21\u578b\u7684\u8bad\u7ec3\u6548\u679c\u548c\u5206\u7c7b\u51c6\u786e\u6027\u3002<\/p>\n<\/p>\n

3\u3001\u7279\u5f81\u63d0\u53d6<\/h4>\n<\/p>\n

\u7279\u5f81\u63d0\u53d6\u662f\u5c06\u9884\u5904\u7406\u540e\u7684\u6587\u672c\u8f6c\u6362\u4e3a\u673a\u5668\u5b66\u4e60\u6a21\u578b\u53ef\u4ee5\u5904\u7406\u7684\u7279\u5f81\u5411\u91cf\u7684\u8fc7\u7a0b\u3002\u5e38\u7528\u7684\u7279\u5f81\u63d0\u53d6\u65b9\u6cd5\u5305\u62ec\u8bcd\u888b\u6a21\u578b\uff08Bag of Words\uff09\u3001TF-IDF\uff08Term Frequency-Inverse Document Frequency\uff09\u3001\u8bcd\u5d4c\u5165\uff08Word Embedding\uff09\u7b49\u3002\u53ef\u4ee5\u4f7f\u7528Python\u4e2d\u7684scikit-learn\u3001Gensim\u3001spaCy\u7b49\u5e93\u6765\u5b9e\u73b0\u7279\u5f81\u63d0\u53d6\u3002<\/p>\n<\/p>\n

4\u3001\u9009\u62e9\u5e76\u8bad\u7ec3\u6a21\u578b<\/h4>\n<\/p>\n

\u9009\u62e9\u9002\u5408\u60c5\u611f\u5206\u7c7b\u4efb\u52a1\u7684\u673a\u5668\u5b66\u4e60\u6a21\u578b\uff0c\u5e76\u4f7f\u7528\u8bad\u7ec3\u6570\u636e\u8fdb\u884c\u8bad\u7ec3\u3002\u5e38\u7528\u7684\u673a\u5668\u5b66\u4e60\u6a21\u578b\u5305\u62ec\u6734\u7d20\u8d1d\u53f6\u65af\uff08NAI<\/a>ve Bayes\uff09\u3001\u652f\u6301\u5411\u91cf\u673a\uff08SVM\uff09\u3001\u903b\u8f91\u56de\u5f52\uff08Logistic Regression\uff09\u3001\u968f\u673a\u68ee\u6797\uff08Random Forest\uff09\u7b49\u3002\u53ef\u4ee5\u4f7f\u7528Python\u4e2d\u7684scikit-learn\u5e93\u6765\u5b9e\u73b0\u6a21\u578b\u7684\u9009\u62e9\u548c\u8bad\u7ec3\u3002<\/p>\n<\/p>\n

5\u3001\u6a21\u578b\u8bc4\u4f30\u4e0e\u8c03\u4f18<\/h4>\n<\/p>\n

\u4f7f\u7528\u9a8c\u8bc1\u6570\u636e\u96c6\u5bf9\u8bad\u7ec3\u597d\u7684\u6a21\u578b\u8fdb\u884c\u8bc4\u4f30\uff0c\u5e76\u6839\u636e\u8bc4\u4f30\u7ed3\u679c\u8c03\u6574\u6a21\u578b\u7684\u53c2\u6570\u548c\u7279\u5f81\u63d0\u53d6\u65b9\u6cd5\uff0c\u4ee5\u63d0\u9ad8\u6a21\u578b\u7684\u5206\u7c7b\u51c6\u786e\u6027\u3002\u5e38\u7528\u7684\u8bc4\u4f30\u6307\u6807\u5305\u62ec\u51c6\u786e\u7387\uff08Accuracy\uff09\u3001\u7cbe\u786e\u7387\uff08Precision\uff09\u3001\u53ec\u56de\u7387\uff08Recall\uff09\u3001F1\u503c\uff08F1 Score\uff09\u7b49\u3002<\/p>\n<\/p>\n

6\u3001\u60c5\u611f\u5206\u7c7b<\/h4>\n<\/p>\n

\u4f7f\u7528\u8bad\u7ec3\u597d\u7684\u673a\u5668\u5b66\u4e60\u6a21\u578b\u5bf9\u65b0\u7684\u6587\u672c\u8fdb\u884c\u60c5\u611f\u5206\u7c7b\u3002\u5c06\u65b0\u6587\u672c\u8fdb\u884c\u9884\u5904\u7406\u548c\u7279\u5f81\u63d0\u53d6\u540e\uff0c\u8f93\u5165\u6a21\u578b\u8fdb\u884c\u9884\u6d4b\uff0c\u5f97\u5230\u6587\u672c\u7684\u60c5\u611f\u7c7b\u522b\u3002<\/p>\n<\/p>\n

\u4e09\u3001\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b<\/h3>\n<\/p>\n

\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u662f\u4e00\u79cd\u66f4\u4e3a\u5148\u8fdb\u548c\u590d\u6742\u7684\u60c5\u611f\u5206\u7c7b\u65b9\u6cd5\uff0c\u80fd\u591f\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u5e76\u6355\u6349\u590d\u6742\u7684\u60c5\u611f\u7279\u5f81\u3002\u4f7f\u7528\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u8fdb\u884c\u60c5\u611f\u5206\u7c7b\u7684\u65b9\u6cd5\u4e3b\u8981\u5305\u62ec\u4ee5\u4e0b\u51e0\u4e2a\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n

1\u3001\u51c6\u5907\u8bad\u7ec3\u6570\u636e<\/h4>\n<\/p>\n

\u4e0e\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7c7b\u4f3c\uff0c\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u4e5f\u9700\u8981\u4e00\u4e2a\u6807\u6ce8\u597d\u7684\u8bad\u7ec3\u6570\u636e\u96c6\u3002\u8bad\u7ec3\u6570\u636e\u96c6\u5e94\u5305\u62ec\u5927\u91cf\u7684\u6587\u672c\u6837\u672c\uff0c\u6bcf\u4e2a\u6837\u672c\u90fd\u88ab\u6807\u6ce8\u4e86\u4e00\u4e2a\u6216\u591a\u4e2a\u60c5\u611f\u6807\u7b7e\u3002<\/p>\n<\/p>\n

2\u3001\u6587\u672c\u9884\u5904\u7406<\/h4>\n<\/p>\n

\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u5bf9\u6587\u672c\u7684\u9884\u5904\u7406\u8981\u6c42\u4e0e\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7c7b\u4f3c\u3002\u901a\u5e38\u5305\u62ec\u53bb\u9664\u6807\u70b9\u7b26\u53f7\u3001\u8f6c\u6362\u4e3a\u5c0f\u5199\u3001\u5206\u8bcd\u3001\u53bb\u9664\u505c\u7528\u8bcd\u3001\u8bcd\u5e72\u63d0\u53d6\u7b49\u64cd\u4f5c\u3002<\/p>\n<\/p>\n

3\u3001\u8bcd\u5d4c\u5165<\/h4>\n<\/p>\n

\u8bcd\u5d4c\u5165\uff08Word Embedding\uff09\u662f\u5c06\u6587\u672c\u4e2d\u7684\u8bcd\u6c47\u8f6c\u6362\u4e3a\u56fa\u5b9a\u7ef4\u5ea6\u7684\u5411\u91cf\u8868\u793a\u7684\u4e00\u79cd\u65b9\u6cd5\u3002\u8bcd\u5d4c\u5165\u80fd\u591f\u6355\u6349\u8bcd\u6c47\u4e4b\u95f4\u7684\u8bed\u4e49\u5173\u7cfb\uff0c\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ecWord2Vec\u3001GloVe\u3001FastText\u7b49\u3002\u53ef\u4ee5\u4f7f\u7528Python\u4e2d\u7684Gensim\u3001spaCy\u7b49\u5e93\u6765\u5b9e\u73b0\u8bcd\u5d4c\u5165\u3002<\/p>\n<\/p>\n

4\u3001\u9009\u62e9\u5e76\u8bad\u7ec3\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b<\/h4>\n<\/p>\n

\u9009\u62e9\u9002\u5408\u60c5\u611f\u5206\u7c7b\u4efb\u52a1\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\uff0c\u5e76\u4f7f\u7528\u8bad\u7ec3\u6570\u636e\u8fdb\u884c\u8bad\u7ec3\u3002\u5e38\u7528\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u5305\u62ec\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08CNN\uff09\u3001\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\uff08RNN\uff09\u3001\u957f\u77ed\u671f\u8bb0\u5fc6\u7f51\u7edc\uff08LSTM\uff09\u3001\u53cc\u5411LSTM\uff08BiLSTM\uff09\u7b49\u3002\u53ef\u4ee5\u4f7f\u7528Python\u4e2d\u7684TensorFlow\u3001Keras\u3001PyTorch\u7b49\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u6765\u5b9e\u73b0\u6a21\u578b\u7684\u9009\u62e9\u548c\u8bad\u7ec3\u3002<\/p>\n<\/p>\n

5\u3001\u6a21\u578b\u8bc4\u4f30\u4e0e\u8c03\u4f18<\/h4>\n<\/p>\n

\u4f7f\u7528\u9a8c\u8bc1\u6570\u636e\u96c6\u5bf9\u8bad\u7ec3\u597d\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u8fdb\u884c\u8bc4\u4f30\uff0c\u5e76\u6839\u636e\u8bc4\u4f30\u7ed3\u679c\u8c03\u6574\u6a21\u578b\u7684\u53c2\u6570\u548c\u7ed3\u6784\uff0c\u4ee5\u63d0\u9ad8\u6a21\u578b\u7684\u5206\u7c7b\u51c6\u786e\u6027\u3002\u5e38\u7528\u7684\u8bc4\u4f30\u6307\u6807\u5305\u62ec\u51c6\u786e\u7387\u3001\u7cbe\u786e\u7387\u3001\u53ec\u56de\u7387\u3001F1\u503c\u7b49\u3002<\/p>\n<\/p>\n

6\u3001\u60c5\u611f\u5206\u7c7b<\/h4>\n<\/p>\n

\u4f7f\u7528\u8bad\u7ec3\u597d\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u5bf9\u65b0\u7684\u6587\u672c\u8fdb\u884c\u60c5\u611f\u5206\u7c7b\u3002\u5c06\u65b0\u6587\u672c\u8fdb\u884c\u9884\u5904\u7406\u548c\u8bcd\u5d4c\u5165\u540e\uff0c\u8f93\u5165\u6a21\u578b\u8fdb\u884c\u9884\u6d4b\uff0c\u5f97\u5230\u6587\u672c\u7684\u60c5\u611f\u7c7b\u522b\u3002<\/p>\n<\/p>\n

\u56db\u3001\u6587\u672c\u9884\u5904\u7406<\/h3>\n<\/p>\n

\u65e0\u8bba\u662f\u4f7f\u7528\u60c5\u611f\u8bcd\u5178\u3001\u673a\u5668\u5b66\u4e60\u6a21\u578b\u8fd8\u662f\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\uff0c\u5bf9\u6587\u672c\u8fdb\u884c\u9884\u5904\u7406\u90fd\u662f\u5fc5\u4e0d\u53ef\u5c11\u7684\u6b65\u9aa4\u3002\u6587\u672c\u9884\u5904\u7406\u7684\u8d28\u91cf\u76f4\u63a5\u5f71\u54cd\u5230\u60c5\u611f\u5206\u7c7b\u7684\u51c6\u786e\u6027\u548c\u6548\u679c\u3002\u5e38\u89c1\u7684\u6587\u672c\u9884\u5904\u7406\u6b65\u9aa4\u5305\u62ec\uff1a<\/p>\n<\/p>\n

1\u3001\u53bb\u9664\u6807\u70b9\u7b26\u53f7\u548c\u7279\u6b8a\u5b57\u7b26<\/h4>\n<\/p>\n

\u6807\u70b9\u7b26\u53f7\u548c\u7279\u6b8a\u5b57\u7b26\u901a\u5e38\u4e0d\u5305\u542b\u6709\u7528\u7684\u60c5\u611f\u4fe1\u606f\uff0c\u53ef\u4ee5\u5728\u9884\u5904\u7406\u9636\u6bb5\u53bb\u9664\u3002\u53ef\u4ee5\u4f7f\u7528\u6b63\u5219\u8868\u8fbe\u5f0f\u6216Python\u4e2d\u7684re\u5e93\u6765\u5b9e\u73b0\u8fd9\u4e00\u64cd\u4f5c\u3002<\/p>\n<\/p>\n

2\u3001\u8f6c\u6362\u4e3a\u5c0f\u5199<\/h4>\n<\/p>\n

\u5c06\u6587\u672c\u8f6c\u6362\u4e3a\u5c0f\u5199\uff0c\u6709\u52a9\u4e8e\u7edf\u4e00\u8bcd\u6c47\u7684\u5f62\u5f0f\uff0c\u51cf\u5c11\u4e0d\u540c\u5f62\u5f0f\u7684\u8bcd\u6c47\u5bf9\u60c5\u611f\u5206\u7c7b\u7684\u5e72\u6270\u3002\u53ef\u4ee5\u4f7f\u7528Python\u7684\u5185\u7f6e\u65b9\u6cd5lower()\u6765\u5b9e\u73b0\u8fd9\u4e00\u64cd\u4f5c\u3002<\/p>\n<\/p>\n

3\u3001\u5206\u8bcd<\/h4>\n<\/p>\n

\u5206\u8bcd\u662f\u5c06\u6587\u672c\u62c6\u5206\u4e3a\u5355\u4e2a\u8bcd\u6c47\u6216\u8bcd\u7ec4\u7684\u8fc7\u7a0b\uff0c\u662f\u6587\u672c\u9884\u5904\u7406\u7684\u91cd\u8981\u6b65\u9aa4\u4e4b\u4e00\u3002\u53ef\u4ee5\u4f7f\u7528Python\u4e2d\u7684NLTK\u3001spaCy\u3001Jieba\u7b49\u5e93\u6765\u5b9e\u73b0\u5206\u8bcd\u3002<\/p>\n<\/p>\n

4\u3001\u53bb\u9664\u505c\u7528\u8bcd<\/h4>\n<\/p>\n

\u505c\u7528\u8bcd\u662f\u4e00\u4e9b\u5728\u6587\u672c\u4e2d\u9891\u7e41\u51fa\u73b0\u4f46\u5bf9\u60c5\u611f\u5206\u7c7b\u6ca1\u6709\u592a\u5927\u5e2e\u52a9\u7684\u8bcd\u6c47\uff0c\u5982\u201c\u7684\u201d\u3001\u201c\u662f\u201d\u3001\u201c\u5728\u201d\u7b49\u3002\u53bb\u9664\u505c\u7528\u8bcd\u6709\u52a9\u4e8e\u63d0\u9ad8\u60c5\u611f\u5206\u7c7b\u7684\u51c6\u786e\u6027\u3002\u53ef\u4ee5\u4f7f\u7528NLTK\u7b49\u5e93\u4e2d\u7684\u505c\u7528\u8bcd\u5217\u8868\uff0c\u6216\u81ea\u5b9a\u4e49\u505c\u7528\u8bcd\u5217\u8868\u3002<\/p>\n<\/p>\n

5\u3001\u8bcd\u5e72\u63d0\u53d6\u548c\u8bcd\u5f62\u8fd8\u539f<\/h4>\n<\/p>\n

\u8bcd\u5e72\u63d0\u53d6\u548c\u8bcd\u5f62\u8fd8\u539f\u662f\u5c06\u4e0d\u540c\u5f62\u5f0f\u7684\u8bcd\u6c47\u8fd8\u539f\u4e3a\u5176\u57fa\u672c\u5f62\u5f0f\u7684\u8fc7\u7a0b\uff0c\u6709\u52a9\u4e8e\u7edf\u4e00\u8bcd\u6c47\u7684\u8868\u793a\u3002\u8bcd\u5e72\u63d0\u53d6\u662f\u5c06\u8bcd\u6c47\u8fd8\u539f\u4e3a\u5176\u8bcd\u5e72\u5f62\u5f0f\uff0c\u8bcd\u5f62\u8fd8\u539f\u662f\u5c06\u8bcd\u6c47\u8fd8\u539f\u4e3a\u5176\u8bcd\u5178\u5f62\u5f0f\u3002\u53ef\u4ee5\u4f7f\u7528NLTK\u3001spaCy\u7b49\u5e93\u6765\u5b9e\u73b0\u8bcd\u5e72\u63d0\u53d6\u548c\u8bcd\u5f62\u8fd8\u539f\u3002<\/p>\n<\/p>\n

\u4e94\u3001\u7279\u5f81\u63d0\u53d6<\/h3>\n<\/p>\n

\u7279\u5f81\u63d0\u53d6\u662f\u5c06\u9884\u5904\u7406\u540e\u7684\u6587\u672c\u8f6c\u6362\u4e3a\u673a\u5668\u5b66\u4e60\u6a21\u578b\u6216\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u53ef\u4ee5\u5904\u7406\u7684\u7279\u5f81\u5411\u91cf\u7684\u8fc7\u7a0b\u3002\u5e38\u7528\u7684\u7279\u5f81\u63d0\u53d6\u65b9\u6cd5\u5305\u62ec\uff1a<\/p>\n<\/p>\n

1\u3001\u8bcd\u888b\u6a21\u578b<\/h4>\n<\/p>\n

\u8bcd\u888b\u6a21\u578b\uff08Bag of Words\uff09\u662f\u4e00\u79cd\u7b80\u5355\u800c\u5e38\u7528\u7684\u7279\u5f81\u63d0\u53d6\u65b9\u6cd5\uff0c\u5c06\u6587\u672c\u8868\u793a\u4e3a\u8bcd\u6c47\u7684\u65e0\u5e8f\u96c6\u5408\u3002\u53ef\u4ee5\u4f7f\u7528scikit-learn\u5e93\u4e2d\u7684CountVectorizer\u6765\u5b9e\u73b0\u8bcd\u888b\u6a21\u578b\u3002<\/p>\n<\/p>\n

2\u3001TF-IDF<\/h4>\n<\/p>\n

TF-IDF\uff08Term Frequency-Inverse Document Frequency\uff09\u662f\u4e00\u79cd\u8861\u91cf\u8bcd\u6c47\u91cd\u8981\u6027\u7684\u65b9\u6cd5\uff0c\u80fd\u591f\u66f4\u597d\u5730\u6355\u6349\u6587\u672c\u4e2d\u7684\u5173\u952e\u4fe1\u606f\u3002\u53ef\u4ee5\u4f7f\u7528scikit-learn\u5e93\u4e2d\u7684TfidfVectorizer\u6765\u5b9e\u73b0TF-IDF\u7279\u5f81\u63d0\u53d6\u3002<\/p>\n<\/p>\n

3\u3001\u8bcd\u5d4c\u5165<\/h4>\n<\/p>\n

\u8bcd\u5d4c\u5165\uff08Word Embedding\uff09\u662f\u5c06\u8bcd\u6c47\u8868\u793a\u4e3a\u56fa\u5b9a\u7ef4\u5ea6\u7684\u5411\u91cf\uff0c\u80fd\u591f\u6355\u6349\u8bcd\u6c47\u4e4b\u95f4\u7684\u8bed\u4e49\u5173\u7cfb\u3002\u5e38\u7528\u7684\u8bcd\u5d4c\u5165\u65b9\u6cd5\u5305\u62ecWord2Vec\u3001GloVe\u3001FastText\u7b49\u3002\u53ef\u4ee5\u4f7f\u7528Gensim\u3001spaCy\u7b49\u5e93\u6765\u5b9e\u73b0\u8bcd\u5d4c\u5165\u3002<\/p>\n<\/p>\n

\u516d\u3001\u8bad\u7ec3\u6a21\u578b<\/h3>\n<\/p>\n

\u8bad\u7ec3\u6a21\u578b\u662f\u60c5\u611f\u5206\u7c7b\u7684\u6838\u5fc3\u6b65\u9aa4\u3002\u6839\u636e\u9009\u62e9\u7684\u60c5\u611f\u5206\u7c7b\u65b9\u6cd5\uff0c\u8bad\u7ec3\u6a21\u578b\u7684\u8fc7\u7a0b\u6709\u6240\u4e0d\u540c\uff1a<\/p>\n<\/p>\n

1\u3001\u60c5\u611f\u8bcd\u5178\u65b9\u6cd5<\/h4>\n<\/p>\n

\u60c5\u611f\u8bcd\u5178\u65b9\u6cd5\u4e0d\u9700\u8981\u8bad\u7ec3\u6a21\u578b\uff0c\u53ea\u9700\u6839\u636e\u60c5\u611f\u8bcd\u5178\u5bf9\u6587\u672c\u8fdb\u884c\u5339\u914d\u548c\u5206\u7c7b\u3002<\/p>\n<\/p>\n

2\u3001\u673a\u5668\u5b66\u4e60\u6a21\u578b<\/h4>\n<\/p>\n

\u9009\u62e9\u9002\u5408\u60c5\u611f\u5206\u7c7b\u4efb\u52a1\u7684\u673a\u5668\u5b66\u4e60\u6a21\u578b\uff0c\u5e76\u4f7f\u7528\u8bad\u7ec3\u6570\u636e\u8fdb\u884c\u8bad\u7ec3\u3002\u5e38\u7528\u7684\u673a\u5668\u5b66\u4e60\u6a21\u578b\u5305\u62ec\u6734\u7d20\u8d1d\u53f6\u65af\u3001\u652f\u6301\u5411\u91cf\u673a\u3001\u903b\u8f91\u56de\u5f52\u3001\u968f\u673a\u68ee\u6797\u7b49\u3002\u53ef\u4ee5\u4f7f\u7528scikit-learn\u5e93\u6765\u5b9e\u73b0\u6a21\u578b\u7684\u9009\u62e9\u548c\u8bad\u7ec3\u3002<\/p>\n<\/p>\n

3\u3001\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b<\/h4>\n<\/p>\n

\u9009\u62e9\u9002\u5408\u60c5\u611f\u5206\u7c7b\u4efb\u52a1\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\uff0c\u5e76\u4f7f\u7528\u8bad\u7ec3\u6570\u636e\u8fdb\u884c\u8bad\u7ec3\u3002\u5e38\u7528\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u5305\u62ec\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u3001\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\u3001\u957f\u77ed\u671f\u8bb0\u5fc6\u7f51\u7edc\u7b49\u3002\u53ef\u4ee5\u4f7f\u7528TensorFlow\u3001Keras\u3001PyTorch\u7b49\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u6765\u5b9e\u73b0\u6a21\u578b\u7684\u9009\u62e9\u548c\u8bad\u7ec3\u3002<\/p>\n<\/p>\n

\u4e03\u3001\u60c5\u611f\u5206\u7c7b<\/h3>\n<\/p>\n

\u60c5\u611f\u5206\u7c7b\u662f\u6839\u636e\u8bad\u7ec3\u597d\u7684\u6a21\u578b\u5bf9\u65b0\u7684\u6587\u672c\u8fdb\u884c\u60c5\u611f\u9884\u6d4b\u7684\u8fc7\u7a0b\u3002\u5c06\u65b0\u6587\u672c\u8fdb\u884c\u9884\u5904\u7406\u548c\u7279\u5f81\u63d0\u53d6\u540e\uff0c\u8f93\u5165\u6a21\u578b\u8fdb\u884c\u9884\u6d4b\uff0c\u5f97\u5230\u6587\u672c\u7684\u60c5\u611f\u7c7b\u522b\u3002<\/p>\n<\/p>\n

\u516b\u3001\u53ef\u89c6\u5316\u7ed3\u679c<\/h3>\n<\/p>\n

\u53ef\u89c6\u5316\u7ed3\u679c\u6709\u52a9\u4e8e\u66f4\u76f4\u89c2\u5730\u7406\u89e3\u60c5\u611f\u5206\u7c7b\u7684\u6548\u679c\u548c\u7ed3\u679c\u3002\u5e38\u7528\u7684\u53ef\u89c6\u5316\u65b9\u6cd5\u5305\u62ec\uff1a<\/p>\n<\/p>\n

1\u3001\u8bcd\u4e91\u56fe<\/h4>\n<\/p>\n

\u8bcd\u4e91\u56fe\u662f\u4e00\u79cd\u5e38\u89c1\u7684\u6587\u672c\u53ef\u89c6\u5316\u65b9\u6cd5\uff0c\u901a\u8fc7\u4e0d\u540c\u5927\u5c0f\u548c\u989c\u8272\u7684\u8bcd\u6c47\u5c55\u793a\u6587\u672c\u4e2d\u7684\u91cd\u8981\u8bcd\u6c47\u3002\u53ef\u4ee5\u4f7f\u7528wordcloud\u5e93\u6765\u751f\u6210\u8bcd\u4e91\u56fe\u3002<\/p>\n<\/p>\n

2\u3001\u60c5\u611f\u5206\u5e03\u56fe<\/h4>\n<\/p>\n

\u60c5\u611f\u5206\u5e03\u56fe\u5c55\u793a\u4e86\u6587\u672c\u4e2d\u4e0d\u540c\u60c5\u611f\u7c7b\u522b\u7684\u5206\u5e03\u60c5\u51b5\uff0c\u6709\u52a9\u4e8e\u7406\u89e3\u6587\u672c\u7684\u6574\u4f53\u60c5\u611f\u503e\u5411\u3002\u53ef\u4ee5\u4f7f\u7528matplotlib\u3001seaborn\u7b49\u5e93\u6765\u751f\u6210\u60c5\u611f\u5206\u5e03\u56fe\u3002<\/p>\n<\/p>\n

3\u3001\u6df7\u6dc6\u77e9\u9635<\/h4>\n<\/p>\n

\u6df7\u6dc6\u77e9\u9635\u662f\u4e00\u79cd\u8bc4\u4f30\u5206\u7c7b\u6a21\u578b\u6548\u679c\u7684\u53ef\u89c6\u5316\u65b9\u6cd5\uff0c\u901a\u8fc7\u5c55\u793a\u9884\u6d4b\u7ed3\u679c\u4e0e\u5b9e\u9645\u7ed3\u679c\u7684\u5bf9\u6bd4\u60c5\u51b5\uff0c\u5e2e\u52a9\u8bc6\u522b\u6a21\u578b\u7684\u5206\u7c7b\u6548\u679c\u548c\u95ee\u9898\u3002\u53ef\u4ee5\u4f7f\u7528scikit-learn\u5e93\u4e2d\u7684confusion_matrix\u51fd\u6570\u751f\u6210\u6df7\u6dc6\u77e9\u9635\uff0c\u5e76\u4f7f\u7528seaborn\u5e93\u8fdb\u884c\u53ef\u89c6\u5316\u3002<\/p>\n<\/p>\n

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

\u5982\u4f55\u4f7f\u7528Python\u8fdb\u884c\u60c5\u611f\u5206\u6790\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u60c5\u611f\u5206\u6790\u901a\u5e38\u901a\u8fc7\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09\u5e93\u6765\u5b9e\u73b0\u3002\u5e38\u89c1\u7684\u5e93\u5305\u62ecNLTK\u3001TextBlob\u548cVADER\u3002\u8fd9\u4e9b\u5e93\u63d0\u4f9b\u4e86\u60c5\u611f\u5206\u6790\u5de5\u5177\uff0c\u80fd\u591f\u8bc6\u522b\u6587\u672c\u4e2d\u7684\u60c5\u611f\u503e\u5411\uff0c\u4f8b\u5982\u79ef\u6781\u3001\u6d88\u6781\u548c\u4e2d\u7acb\u3002\u4f7f\u7528\u8fd9\u4e9b\u5e93\uff0c\u60a8\u53ef\u4ee5\u8f7b\u677e\u5730\u5bf9\u6587\u672c\u8fdb\u884c\u60c5\u611f\u5206\u7c7b\uff0c\u5e76\u6839\u636e\u9700\u8981\u6269\u5c55\u5230\u66f4\u590d\u6742\u7684\u60c5\u611f\u6a21\u578b\u3002<\/p>\n

\u53ef\u4ee5\u4f7f\u7528\u54ea\u4e9b\u6570\u636e\u96c6\u6765\u8bad\u7ec3\u60c5\u611f\u5206\u7c7b\u6a21\u578b\uff1f<\/strong>
\u6709\u591a\u4e2a\u516c\u5f00\u7684\u6570\u636e\u96c6\u53ef\u4ee5\u7528\u4e8e\u8bad\u7ec3\u60c5\u611f\u5206\u6790\u6a21\u578b\uff0c\u4f8b\u5982IMDb\u7535\u5f71\u8bc4\u8bba\u6570\u636e\u96c6\u3001Twitter\u60c5\u611f\u6570\u636e\u96c6\u548cKaggle\u4e0a\u7684\u60c5\u611f\u5206\u6790\u6570\u636e\u96c6\u3002\u8fd9\u4e9b\u6570\u636e\u96c6\u901a\u5e38\u5305\u542b\u6807\u6ce8\u7684\u6587\u672c\u6570\u636e\uff0c\u9002\u5408\u7528\u4e8e\u8bad\u7ec3\u6a21\u578b\u4ee5\u8bc6\u522b\u4e0d\u540c\u60c5\u611f\u3002\u9009\u62e9\u5408\u9002\u7684\u6570\u636e\u96c6\u53ef\u4ee5\u63d0\u9ad8\u6a21\u578b\u7684\u51c6\u786e\u6027\u548c\u9c81\u68d2\u6027\u3002<\/p>\n

\u5982\u4f55\u5c06\u60c5\u611f\u5206\u4e3a8\u79cd\u5177\u4f53\u7c7b\u522b\uff1f<\/strong>
\u4e3a\u4e86\u5c06\u60c5\u611f\u5206\u4e3a8\u79cd\u7c7b\u522b\uff0c\u60a8\u53ef\u4ee5\u91c7\u7528\u66f4\u590d\u6742\u7684\u60c5\u611f\u5206\u7c7b\u6a21\u578b\uff0c\u5982\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u3002\u901a\u8fc7\u4f7f\u7528\u60c5\u611f\u8bcd\u5178\u548c\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\uff08\u5982\u968f\u673a\u68ee\u6797\u3001\u652f\u6301\u5411\u91cf\u673a\u7b49\uff09\uff0c\u60a8\u53ef\u4ee5\u5c06\u60c5\u611f\u7c7b\u522b\u5b9a\u4e49\u4e3a\u5feb\u4e50\u3001\u60b2\u4f24\u3001\u6124\u6012\u3001\u60ca\u8bb6\u3001\u538c\u6076\u3001\u6050\u60e7\u3001\u4fe1\u4efb\u548c\u671f\u5f85\u3002\u6784\u5efa\u6a21\u578b\u65f6\uff0c\u786e\u4fdd\u5bf9\u6bcf\u4e2a\u7c7b\u522b\u8fdb\u884c\u5145\u5206\u7684\u6570\u636e\u6807\u6ce8\u548c\u8bad\u7ec3\uff0c\u4ee5\u4fbf\u6a21\u578b\u80fd\u591f\u51c6\u786e\u8bc6\u522b\u548c\u5206\u7c7b\u4e0d\u540c\u7684\u60c5\u611f\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u5c06\u60c5\u611f\u5206\u4e3a8\u79cd\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528\u60c5\u611f\u8bcd\u5178\u3001\u673a\u5668\u5b66\u4e60\u6a21\u578b\u3001\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u3001\u6587\u672c\u9884\u5904\u7406\u3001\u7279\u5f81\u63d0\u53d6\u3001\u8bad\u7ec3\u6a21\u578b […]","protected":false},"author":3,"featured_media":1034204,"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\/1034198"}],"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=1034198"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1034198\/revisions"}],"predecessor-version":[{"id":1034210,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1034198\/revisions\/1034210"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1034204"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1034198"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1034198"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1034198"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}