{"id":1007103,"date":"2024-12-27T10:50:15","date_gmt":"2024-12-27T02:50:15","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1007103.html"},"modified":"2024-12-27T10:50:19","modified_gmt":"2024-12-27T02:50:19","slug":"%e5%a6%82%e4%bd%95%e5%8e%bb%e6%8e%89%e5%81%9c%e7%94%a8%e8%af%8d-python","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1007103.html","title":{"rendered":"\u5982\u4f55\u53bb\u6389\u505c\u7528\u8bcd python"},"content":{"rendered":"

\"\u5982\u4f55\u53bb\u6389\u505c\u7528\u8bcd<\/p>\n

\u53bb\u6389\u505c\u7528\u8bcd\uff08stop words\uff09\u5728\u6587\u672c\u5904\u7406\u4e2d\u975e\u5e38\u91cd\u8981\uff0c\u56e0\u4e3a\u505c\u7528\u8bcd\u901a\u5e38\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u8bcd\uff08\u5982\u201c\u7684\u201d\u3001\u201c\u662f\u201d\u3001\u201c\u5728\u201d\u7b49\uff09\uff0c\u5b83\u4eec\u5bf9\u6587\u672c\u7684\u4e3b\u8981\u5185\u5bb9\u8d21\u732e\u4e0d\u5927\u3002\u8981\u53bb\u6389\u505c\u7528\u8bcd\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u4e2d\u7684\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5e93\uff0c\u5982NLTK\u3001spaCy\u7b49\u3002NLTK\u63d0\u4f9b\u4e86\u4e00\u4e2a\u9884\u5b9a\u4e49\u7684\u505c\u7528\u8bcd\u5217\u8868\uff0cspaCy\u5219\u4ee5\u5176\u9ad8\u6548\u7684\u5904\u7406\u901f\u5ea6\u8457\u79f0\u3002\u4f7f\u7528\u8fd9\u4e9b\u5de5\u5177\uff0c\u4f60\u53ef\u4ee5\u8f7b\u677e\u8fc7\u6ee4\u6389\u6587\u672c\u4e2d\u7684\u505c\u7528\u8bcd\uff0c\u63d0\u9ad8\u6587\u672c\u5206\u6790\u7684\u7cbe\u5ea6\u548c\u6548\u7387\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528NLTK\u548cspaCy\u6765\u53bb\u6389\u505c\u7528\u8bcd\u3002<\/strong><\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528NLTK\u53bb\u6389\u505c\u7528\u8bcd<\/p>\n<\/p>\n

NLTK\uff08Natural Language Toolkit\uff09\u662fPython\u4e2d\u4e00\u4e2a\u5f3a\u5927\u7684\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u5de5\u5177\u548c\u8d44\u6e90\u6765\u5904\u7406\u4eba\u7c7b\u8bed\u8a00\u6570\u636e\u3002\u4f7f\u7528NLTK\u53bb\u9664\u505c\u7528\u8bcd\u7684\u8fc7\u7a0b\u76f8\u5bf9\u7b80\u5355\u3002<\/p>\n<\/p>\n

1. \u5b89\u88c5\u548c\u5bfc\u5165NLTK<\/h3>\n<\/p>\n

\u9996\u5148\uff0c\u4f60\u9700\u8981\u786e\u4fddNLTK\u5e93\u5df2\u7ecf\u5b89\u88c5\u3002\u5728\u547d\u4ee4\u884c\u4e2d\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\uff1a<\/p>\n<\/p>\n

pip install nltk<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165\u6240\u9700\u6a21\u5757\uff1a<\/p>\n<\/p>\n
import nltk<\/p>\n
from nltk.corpus import stopwords<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u4e0b\u8f7dNLTK\u7684\u505c\u7528\u8bcd\u5217\u8868<\/h3>\n<\/p>\n
NLTK\u63d0\u4f9b\u4e86\u591a\u79cd\u8bed\u8a00\u7684\u505c\u7528\u8bcd\u5217\u8868\u3002\u5728\u4f7f\u7528\u4e4b\u524d\uff0c\u9700\u8981\u4e0b\u8f7d\u8fd9\u4e9b\u8d44\u6e90\uff1a<\/p>\n<\/p>\n
nltk.download('stopwords')<\/p>\n
<\/code><\/pre>\n<\/p>\n
3. \u83b7\u53d6\u505c\u7528\u8bcd\u5217\u8868<\/h3>\n<\/p>\n
NLTK\u7684stopwords<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86\u591a\u79cd\u8bed\u8a00\u7684\u505c\u7528\u8bcd\u5217\u8868\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u65b9\u5f0f\u83b7\u53d6\u82f1\u6587\u7684\u505c\u7528\u8bcd\u5217\u8868\uff1a<\/p>\n<\/p>\n
stop_words = set(stopwords.words('english'))<\/p>\n
<\/code><\/pre>\n<\/p>\n
4. \u53bb\u9664\u505c\u7528\u8bcd<\/h3>\n<\/p>\n
\u5c06\u6587\u672c\u5206\u8bcd\u540e\uff0c\u8fc7\u6ee4\u6389\u505c\u7528\u8bcd\uff1a<\/p>\n<\/p>\n
example_text = "This is a simple example to demonstrate how to remove stop words from a given sentence."<\/p>\n
words = example_text.split()<\/p>\n
\u53bb\u9664\u505c\u7528\u8bcd<\/strong><\/h2>\n
filtered_sentence = [word for word in words if word.lower() not in stop_words]<\/p>\n
print("Filtered Sentence:", " ".join(filtered_sentence))<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528spaCy\u53bb\u6389\u505c\u7528\u8bcd<\/p>\n<\/p>\n
spaCy\u662f\u4e00\u4e2a\u6d41\u884c\u7684\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5e93\uff0c\u4ee5\u5176\u9ad8\u6027\u80fd\u548c\u6613\u7528\u6027\u800c\u95fb\u540d\u3002\u5b83\u4e5f\u63d0\u4f9b\u4e86\u5185\u7f6e\u7684\u505c\u7528\u8bcd\u5217\u8868\u3002<\/p>\n<\/p>\n
1. \u5b89\u88c5\u548c\u5bfc\u5165spaCy<\/h3>\n<\/p>\n
\u9996\u5148\uff0c\u5b89\u88c5spaCy\u548c\u6240\u9700\u7684\u8bed\u8a00\u6a21\u578b\uff1a<\/p>\n<\/p>\n
pip install spacy<\/p>\n
python -m spacy download en_core_web_sm<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5bfc\u5165spaCy\uff1a<\/p>\n<\/p>\n
import spacy<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u52a0\u8f7d\u8bed\u8a00\u6a21\u578b<\/h3>\n<\/p>\n
\u52a0\u8f7dspaCy\u7684\u8bed\u8a00\u6a21\u578b\uff0c\u8fd9\u662f\u8fdb\u884c\u6587\u672c\u5904\u7406\u7684\u57fa\u7840\uff1a<\/p>\n<\/p>\n
nlp = spacy.load('en_core_web_sm')<\/p>\n
<\/code><\/pre>\n<\/p>\n
3. \u53bb\u9664\u505c\u7528\u8bcd<\/h3>\n<\/p>\n
\u4f7f\u7528spaCy\u7684\u8bed\u8a00\u6a21\u578b\u5904\u7406\u6587\u672c\uff0c\u5e76\u8fc7\u6ee4\u6389\u505c\u7528\u8bcd\uff1a<\/p>\n<\/p>\n
doc = nlp("This is a simple example to demonstrate how to remove stop words from a given sentence.")<\/p>\n
filtered_sentence = [token.text for token in doc if not token.is_stop]<\/p>\n
print("Filtered Sentence:", " ".join(filtered_sentence))<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u6bd4\u8f83NLTK\u4e0espaCy\u5728\u53bb\u6389\u505c\u7528\u8bcd\u4e0a\u7684\u4f18\u52a3<\/p>\n<\/p>\n
1. NLTK\u7684\u4f18\u70b9\u548c\u7f3a\u70b9<\/h3>\n<\/p>\n
\u4f18\u70b9<\/strong>\uff1a<\/p>\n<\/p>\n
    \n
  • NLTK\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u5de5\u5177\u548c\u6a21\u5757\uff0c\u9002\u5408\u521d\u5b66\u8005\u548c\u5b66\u672f\u7814\u7a76\u3002<\/li>\n
  • \u53ef\u6269\u5c55\u6027\u5f3a\uff0c\u53ef\u4ee5\u81ea\u5b9a\u4e49\u505c\u7528\u8bcd\u5217\u8868\u3002<\/li>\n<\/ul>\n
    \u7f3a\u70b9<\/strong>\uff1a<\/p>\n<\/p>\n
      \n
    • \u5904\u7406\u901f\u5ea6\u76f8\u5bf9\u8f83\u6162\uff0c\u4e0d\u9002\u5408\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\u3002<\/li>\n
    • \u5b89\u88c5\u548c\u914d\u7f6e\u53ef\u80fd\u7a0d\u663e\u590d\u6742\u3002<\/li>\n<\/ul>\n
      2. spaCy\u7684\u4f18\u70b9\u548c\u7f3a\u70b9<\/h3>\n<\/p>\n
      \u4f18\u70b9<\/strong>\uff1a<\/p>\n<\/p>\n
        \n
      • \u5904\u7406\u901f\u5ea6\u5feb\uff0c\u9002\u5408\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\u3002<\/li>\n
      • \u63d0\u4f9b\u4e86\u9ad8\u8d28\u91cf\u7684\u9884\u8bad\u7ec3\u6a21\u578b\uff0c\u652f\u6301\u591a\u79cd\u8bed\u8a00\u3002<\/li>\n<\/ul>\n
        \u7f3a\u70b9<\/strong>\uff1a<\/p>\n<\/p>\n
          \n
        • \u529f\u80fd\u76f8\u5bf9\u96c6\u4e2d\u5728\u9ad8\u6548\u5904\u7406\uff0c\u7075\u6d3b\u6027\u4e0d\u5982NLTK\u3002<\/li>\n
        • \u5bf9\u521d\u5b66\u8005\u6765\u8bf4\uff0c\u4e0a\u624b\u53ef\u80fd\u7a0d\u6709\u96be\u5ea6\u3002<\/li>\n<\/ul>\n
          \u56db\u3001\u5982\u4f55\u81ea\u5b9a\u4e49\u505c\u7528\u8bcd\u5217\u8868<\/p>\n<\/p>\n
          \u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u4f60\u53ef\u80fd\u9700\u8981\u6839\u636e\u5177\u4f53\u4efb\u52a1\u9700\u6c42\u81ea\u5b9a\u4e49\u505c\u7528\u8bcd\u5217\u8868\u3002\u4f8b\u5982\uff0c\u67d0\u4e9b\u8bcd\u5728\u7279\u5b9a\u9886\u57df\u4e2d\u53ef\u80fd\u662f\u505c\u7528\u8bcd\uff0c\u4f46\u5728\u53e6\u4e00\u4e2a\u9886\u57df\u4e2d\u53ef\u80fd\u5f88\u91cd\u8981\u3002<\/p>\n<\/p>\n
          1. \u81ea\u5b9a\u4e49NLTK\u505c\u7528\u8bcd\u5217\u8868<\/h3>\n<\/p>\n
          \u53ef\u4ee5\u5728NLTK\u7684\u505c\u7528\u8bcd\u5217\u8868\u57fa\u7840\u4e0a\u6dfb\u52a0\u6216\u5220\u9664\u8bcd\u8bed\uff1a<\/p>\n<\/p>\n
          custom_stop_words = set(stopwords.words('english'))<\/p>\n
          custom_stop_words.add("example")  # \u6dfb\u52a0\u81ea\u5b9a\u4e49\u505c\u7528\u8bcd<\/p>\n
          custom_stop_words.remove("is")    # \u79fb\u9664\u9ed8\u8ba4\u505c\u7528\u8bcd<\/p>\n
          filtered_sentence = [word for word in words if word.lower() not in custom_stop_words]<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          2. \u81ea\u5b9a\u4e49spaCy\u505c\u7528\u8bcd\u5217\u8868<\/h3>\n<\/p>\n
          spaCy\u5141\u8bb8\u4f60\u76f4\u63a5\u4fee\u6539\u505c\u7528\u8bcd\u5217\u8868\uff1a<\/p>\n<\/p>\n
          nlp.Defaults.stop_words.add("example")  # \u6dfb\u52a0\u81ea\u5b9a\u4e49\u505c\u7528\u8bcd<\/p>\n
          nlp.Defaults.stop_words.remove("is")    # \u79fb\u9664\u9ed8\u8ba4\u505c\u7528\u8bcd<\/p>\n
          doc = nlp("This is a simple example to demonstrate how to remove stop words from a given sentence.")<\/p>\n
          filtered_sentence = [token.text for token in doc if not token.is_stop]<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u4e94\u3001\u5b9e\u9645\u5e94\u7528\u4e2d\u7684\u6ce8\u610f\u4e8b\u9879<\/p>\n<\/p>\n
          1. \u9009\u62e9\u5408\u9002\u7684\u5de5\u5177<\/h3>\n<\/p>\n
          \u5728\u9009\u62e9\u4f7f\u7528NLTK\u8fd8\u662fspaCy\u65f6\uff0c\u9700\u8981\u6839\u636e\u5177\u4f53\u5e94\u7528\u573a\u666f\u505a\u51fa\u51b3\u7b56\u3002NLTK\u9002\u5408\u9700\u8981\u7075\u6d3b\u5b9a\u5236\u548c\u5b66\u672f\u7814\u7a76\u7684\u573a\u666f\uff0c\u800cspaCy\u5219\u9002\u5408\u9700\u8981\u9ad8\u6548\u5904\u7406\u548c\u5927\u89c4\u6a21\u6570\u636e\u5206\u6790\u7684\u4efb\u52a1\u3002<\/p>\n<\/p>\n
          2. \u5904\u7406\u591a\u8bed\u8a00\u6587\u672c<\/h3>\n<\/p>\n
          \u5982\u679c\u4f60\u7684\u6587\u672c\u6570\u636e\u662f\u591a\u8bed\u8a00\u7684\uff0c\u786e\u4fdd\u6240\u4f7f\u7528\u7684\u5de5\u5177\u652f\u6301\u76f8\u5e94\u7684\u8bed\u8a00\u505c\u7528\u8bcd\u5217\u8868\uff0c\u5e76\u6b63\u786e\u52a0\u8f7d\u8bed\u8a00\u6a21\u578b\u3002<\/p>\n<\/p>\n
          3. \u505c\u7528\u8bcd\u7684\u52a8\u6001\u8c03\u6574<\/h3>\n<\/p>\n
          \u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u505c\u7528\u8bcd\u5217\u8868\u53ef\u80fd\u9700\u8981\u52a8\u6001\u8c03\u6574\u3002\u4f8b\u5982\uff0c\u5728\u60c5\u611f\u5206\u6790\u4e2d\uff0c\u67d0\u4e9b\u8bcd\u53ef\u80fd\u5728\u4e0d\u540c\u4e0a\u4e0b\u6587\u4e2d\u5177\u6709\u4e0d\u540c\u7684\u91cd\u8981\u6027\u3002<\/p>\n<\/p>\n
          \u516d\u3001\u603b\u7ed3<\/p>\n<\/p>\n
          \u53bb\u6389\u505c\u7528\u8bcd\u662f\u6587\u672c\u9884\u5904\u7406\u4e2d\u4e0d\u53ef\u6216\u7f3a\u7684\u4e00\u6b65\uff0c\u901a\u8fc7\u4f7f\u7528NLTK\u548cspaCy\u7b49\u5de5\u5177\uff0c\u6211\u4eec\u53ef\u4ee5\u9ad8\u6548\u5730\u5b9e\u73b0\u8fd9\u4e00\u8fc7\u7a0b\u3002\u5728\u638c\u63e1\u4e86\u57fa\u672c\u64cd\u4f5c\u540e\uff0c\u7075\u6d3b\u8c03\u6574\u505c\u7528\u8bcd\u5217\u8868\uff0c\u5c06\u6709\u52a9\u4e8e\u63d0\u5347\u6587\u672c\u5206\u6790\u7684\u6548\u679c\u548c\u7cbe\u5ea6\u3002\u65e0\u8bba\u662f\u5b66\u672f\u7814\u7a76\u8fd8\u662f\u5de5\u4e1a\u5e94\u7528\uff0c\u9009\u62e9\u5408\u9002\u7684\u5de5\u5177\u5e76\u6839\u636e\u9700\u6c42\u8c03\u6574\u505c\u7528\u8bcd\u7b56\u7565\u90fd\u662f\u81f3\u5173\u91cd\u8981\u7684\u3002\u901a\u8fc7\u5408\u7406\u7684\u505c\u7528\u8bcd\u5904\u7406\uff0c\u53ef\u4ee5\u5927\u5927\u63d0\u9ad8\u540e\u7eed\u6587\u672c\u5206\u6790\u4efb\u52a1\u7684\u6548\u7387\u548c\u51c6\u786e\u6027\u3002<\/p>\n<\/p>\n
          \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
           \u505c\u7528\u8bcd\u662f\u4ec0\u4e48\uff0c\u4e3a\u4ec0\u4e48\u9700\u8981\u53bb\u6389\u5b83\u4eec\uff1f<\/strong>
          \u505c\u7528\u8bcd\u662f\u6307\u5728\u6587\u672c\u5904\u7406\u4e2d\u5e38\u89c1\u4f46\u5bf9\u6587\u672c\u5185\u5bb9\u7406\u89e3\u8d21\u732e\u8f83\u5c0f\u7684\u8bcd\u6c47\uff0c\u5982\u201c\u7684\u201d\u3001\u201c\u662f\u201d\u3001\u201c\u5728\u201d\u7b49\u3002\u8fd9\u4e9b\u8bcd\u901a\u5e38\u5728\u53e5\u5b50\u4e2d\u9891\u7e41\u51fa\u73b0\uff0c\u4f46\u5b83\u4eec\u5e76\u4e0d\u63d0\u4f9b\u6709\u4ef7\u503c\u7684\u4fe1\u606f\uff0c\u53bb\u6389\u505c\u7528\u8bcd\u53ef\u4ee5\u63d0\u9ad8\u6587\u672c\u5206\u6790\u7684\u6548\u7387\u548c\u51c6\u786e\u6027\u3002<\/p>\n
          \u5728Python\u4e2d\uff0c\u5982\u4f55\u4f7f\u7528\u5e93\u6765\u53bb\u6389\u505c\u7528\u8bcd\uff1f<\/strong>
          Python\u4e2d\u6709\u591a\u4e2a\u5e93\u53ef\u4ee5\u5e2e\u52a9\u53bb\u6389\u505c\u7528\u8bcd\uff0c\u4f8b\u5982NLTK\u548cspaCy\u3002\u4f7f\u7528NLTK\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u52a0\u8f7d\u505c\u7528\u8bcd\u5217\u8868\u5e76\u5728\u6587\u672c\u5904\u7406\u4e2d\u8fc7\u6ee4\u6389\u8fd9\u4e9b\u8bcd\u3002\u800cspaCy\u5219\u63d0\u4f9b\u4e86\u66f4\u4e3a\u7b80\u6d01\u7684\u63a5\u53e3\uff0c\u80fd\u591f\u5feb\u901f\u8bc6\u522b\u5e76\u79fb\u9664\u505c\u7528\u8bcd\uff0c\u9002\u5408\u5904\u7406\u5927\u89c4\u6a21\u6587\u672c\u6570\u636e\u3002<\/p>\n
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