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2024\u5e7408\u670814\u65e5 00:01<\/em>\u00a0<\/span>\u9655\u897f<\/span><\/em><\/span><\/section>\n

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0<\/strong>1<\/strong><\/section>\n<\/section>\n
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\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09\u5de5\u5177\u80fd\u5904\u7406\u548c\u5206\u6790\u4ee5\u6807\u51c6\u4f1a\u8bdd\u683c\u5f0f\u7f16\u5199\u7684\u6587\u672c\u6216\u8bed\u97f3\u3002\u56e0\u6b64\uff0cNLP\u6280\u672f\u7684\u4f18\u52bf\u5728\u4e8e\uff0c\u7528\u6237\u65e0\u9700\u8f93\u5165\u4ee3\u7801\u6216\u5176\u4ed6\u590d\u6742\u7684\u6307\u4ee4\uff0c\u5c31\u80fd\u4e0e\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u8fdb\u884c\u4ea4\u4e92\u3002<\/span><\/p>\n
\u00a0<\/span><\/p>\n
NLP\u5de5\u5177\u4f1a\u5145\u5206\u5229\u7528\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u3001\u8bed\u8a00\u89c4\u5219\u548c\u7edf\u8ba1\u6280\u672f\u6765\u5b9e\u73b0\u8fd9\u4e00\u70b9\u3002NLP\u7406\u89e3\u4eba\u7c7b\u8bed\u8a00\u7684\u80fd\u529b\u4f7f\u5f97\u4eba\u5de5\u667a\u80fd\u4ee5\u6307\u6570\u7ea7\u7684\u901f\u5ea6\u8fc5\u901f\u53d1\u5c55\u3002\u8fd9\u4e9b\u5de5\u5177\u4e3a\u6709\u6548\u5229\u7528\u5b83\u4eec\u7684\u516c\u53f8\u63d0\u4f9b\u4e86\u663e\u8457\u7684\u7ade\u4e89\u4f18\u52bf\u3002<\/span><\/p>\n
\u00a0<\/span><\/p>\n
\u672c\u6587\u4ece\u529f\u80fd\u3001\u4f18\u7f3a\u70b9\u548c\u5b9a\u4ef7\u51fa\u53d1\uff0c\u4e3a\u4e0d\u540c\u7528\u6237\u3001\u4f01\u4e1a\u548c\u673a\u6784\u5206\u6790\u4e868\u6b3e\u6700\u4f73NLP\u5de5\u5177\u3002\u76f8\u4fe1\u770b\u5b8c\u6211\u4eec\u7684\u4ecb\u7ecd\u540e\uff0c\u5927\u5bb6\u4e00\u5b9a\u80fd\u627e\u5230\u6700\u9002\u5408\u81ea\u5df1\u4e1a\u52a1\u7684NLP\u8f6f\u4ef6\u3002<\/span><\/p>\n
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0<\/strong>2<\/strong><\/section>\n<\/section>\n
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8\u6b3e\u5de5\u5177\u7684\u4ecb\u7ecd<\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n
1. Gensim\uff1a\u6700\u9002\u5408\u9884\u7b97\u6709\u9650\u7684\u9879\u76ee<\/span><\/strong><\/h2>\n
$\"\"$ <\/span><\/p>\n
\u5b98\u65b9\u7f51\u7ad9\uff1ahttps:\/\/pypi.org\/project\/gensim\/<\/span><\/p>\n
\u00a0<\/span><\/p>\n
Gensim\u662f\u4e00\u6b3e\u4e13\u6ce8\u4e8e\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7684\u5f00\u6e90Python\u5e93\uff0c\u53ef\u8fdb\u884c\u6587\u6863\u7d22\u5f15\u3001\u76f8\u4f3c\u6027\u68c0\u7d22\u548c\u65e0\u76d1\u7763\u8bed\u4e49\u5efa\u6a21\u3002\u5b83\u5e38\u7528\u4e8e\u5206\u6790\u7eaf\u6587\u672c\uff08\u5373\u539f\u59cb\u7684\u975e\u7ed3\u6784\u5316\u6570\u5b57\u6587\u672c\uff09\uff0c\u63d0\u53d6\u6587\u6863\u7684\u8bed\u4e49\u7ed3\u6784\u3002\u8be5\u65b9\u6848\u63d0\u4f9b\u4e86\u5b9e\u73b0\u5404\u79cd\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7684\u7b97\u6cd5\u548c\u5de5\u5177\uff0c\u5982\u6f5c\u5728\u8bed\u4e49\u5206\u6790\uff08LSA\uff09\u3001\u6f5c\u5728<\/span>\u72c4\u5229\u514b\u96f7\u5206\u5e03<\/span>\uff08LDA\uff09\u548cword2vec\u6a21\u578b\u3002<\/span><\/span><\/p>\n
\u00a0<\/span><\/p>\n
Gensim\u8fd8\u63d0\u4f9b\u9884\u8bad\u7ec3\u7684\u8bcd\u5d4c\u5165\u6a21\u578b\uff0c\u7528\u4e8e\u8bed\u4e49\u76f8\u4f3c\u6027\u3001\u6587\u672c\u5206\u7c7b\u548c\u805a\u7c7b\u7b49\u4efb\u52a1\u3002\u5b83\u8fd0\u7528\u589e\u91cf\u5f0f\u5728\u7ebf\u5b66\u4e60\u7b97\u6cd5\u5904\u7406\u5927\u91cf\u6587\u672c\u6570\u636e\uff0c\u65e0\u9700\u5c06\u6240\u6709\u6587\u672c\u6570\u636e\u52a0\u8f7d\u5230\u5185\u5b58\u8bad\u7ec3\uff0c\u56e0\u6b64\u9002\u7528\u4e8e\u5206\u6790\u5927\u89c4\u6a21\u7684\u7f51\u7edc\u6587\u672c\u6570\u636e\u96c6\u3002<\/span><\/p>\n
\u00a0<\/span><\/p>\n
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2. spaCy\uff1a\u6700\u9002\u5408\u9700\u8981\u5904\u7406\u590d\u6742\u6570\u636e\u7684NLP\u4efb\u52a1<\/span><\/strong><\/h2>\n
$\"\"$ <\/p>\n
\u5b98\u65b9\u7f51\u7ad9\uff1ahttps:\/\/spacy.io\/<\/span><\/p>\n
\u00a0<\/span><\/p>\n
spaCy\u62e5\u6709\u5feb\u901f\u9ad8\u6548\u7684\u6587\u672c\u5904\u7406\u529f\u80fd\u548c\u7b80\u6d01\u6613\u7528\u7684API\uff0c\u56e0\u6b64\u6210\u4e3a\u5927\u89c4\u6a21\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4efb\u52a1\u7684\u9996\u9009\u3002\u5b83\u7684\u9884\u8bad\u7ec3\u6a21\u578b\u53ef\u4ee5\u5feb\u901f\u6267\u884c\u5404\u79cd\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4efb\u52a1\uff0c\u5982\u5206\u8bcd\u3001\u8bcd\u6027\u6807\u6ce8\u548c\u4f9d\u5b58\u53e5\u6cd5\u5206\u6790\u3002<\/span><\/p>\n
\u00a0<\/span><\/p>\n
SpaCy\u652f\u6301\u8d85\u8fc775\u79cd\u8bed\u8a00\uff0c\u5e76\u4e3a25\u79cd\u8bed\u8a00\u63d0\u4f9b84\u79cd\u9884\u8bad\u7ec3\u6d41\u6c34\u7ebf\uff08pipeline\uff09\u3002\u5b83\u5229\u7528\u591a\u4efb\u52a1\u5b66\u4e60\u4e0e\u57fa\u4e8e\u53d8\u6362\u5668\uff08Transformer\uff09\u7684\u9884\u8bad\u7ec3\u6a21\u578b\uff08\u5982BERT\uff09\uff0c\u4e3a\u5904\u7406NLP\u4efb\u52a1\u7684\u7528\u6237\u63d0\u4f9b\u6700\u5148\u8fdb\u7684\u5de5\u5177\u3002<\/span><\/p>\n
\u00a0<\/span><\/p>\n
$\"\"$ <\/p>\n
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3. IBM Watson\uff1a\u6700\u9002\u5408\u5904\u7406\u9ad8\u7ea7\u6587\u672c\u5206\u6790\u4efb\u52a1<\/span><\/strong><\/h2>\n
$\"\"$ <\/p>\n
\u5b98\u65b9\u7f51\u7ad9\uff1ahttps:\/\/www.ibm.com\/watson<\/span><\/p>\n
\u00a0<\/span><\/p>\n
IBM Watson Natural Language Understanding\uff08\u4ee5\u4e0b\u7b80\u79f0IBM Watson NLU\uff09\u662f\u6258\u7ba1\u5728\u4e91\u5e73\u53f0\u7684\u81ea\u7136\u8bed\u8a00\u5904\u7406\u670d\u52a1\uff0c\u80fd\u5229\u7528\u5148\u8fdb\u7684\u4eba\u5de5\u667a\u80fd\u548c\u81ea\u7136\u8bed\u8a00\u5904\u7406\u6280\u672f\u6765\u5206\u6790\u548c\u7406\u89e3\u6587\u672c\u6570\u636e\u3002\u5b83\u53ef\u4ee5\u4ece\u975e\u7ed3\u6784\u5316\u6587\u672c\u4e2d\u63d0\u53d6\u6709\u610f\u4e49\u7684\u4fe1\u606f\u548c\u5143\u6570\u636e\uff0c\u5982\u5b9e\u4f53\u3001\u5173\u952e\u5b57\u3001\u60c5\u611f\u3001\u60c5\u7eea\u548c\u7c7b\u522b\u3002IBM Watson NLU\u53ef\u7528\u4e8e\u5404\u79cd\u5e94\u7528\u7a0b\u5e8f\uff0c\u5982\u793e\u4ea4\u5a92\u4f53\u6570\u636e\u76d1\u63a7\u3001\u5ba2\u6237\u53cd\u9988\u5206\u6790\u548c\u5185\u5bb9\u5206\u7c7b\u3002<\/span><\/p>\n
\u00a0<\/span><\/p>\n
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4. Natural Language Toolkit\uff1a\u6700\u9002\u5408\u6559\u80b2\u5de5\u4f5c\u8005\u548c\u7814\u7a76\u4eba\u5458\u4f7f\u7528<\/span><\/strong><\/h2>\n
$\"\"$ <\/p>\n
\u5b98\u65b9\u7f51\u7ad9\uff1ahttps:\/\/www.nltk.org\/<\/span><\/p>\n
\u00a0<\/span><\/p>\n
NLTK \uff08\u5168\u79f0\u4e3aNatural Language Toolkit\uff09\u662f\u4e13\u4e3aNLP\u7814\u7a76\u548c\u5f00\u53d1\u800c\u8bbe\u8ba1\u7684\u5f00\u6e90Python\u5e93\uff0c\u53ef\u7528\u4e8e\u5206\u8bcd\u3001\u8bcd\u6027\u6807\u6ce8\u548c\u547d\u540d\u5b9e\u4f53\u8bc6\u522b\u7b49\u529f\u80fd\u6a21\u5757\u3002\u6b64\u5916\uff0cNLTK\u8fd8\u63d0\u4f9b50\u591a\u4e2a\u8bed\u6599\u5e93\u7684\u8bbf\u95ee\u6743\u9650\u3002<\/span><\/p>\n
\u00a0<\/span><\/p>\n
NLTK\u5e7f\u6cdb\u8fd0\u7528\u4e8e\u79d1\u7814\u3001\u6559\u80b2\u548cNLP\u5e94\u7528\u6784\u5efa\u7b49\u5b66\u672f\u548c\u5de5\u4e1a\u9886\u57df\uff0c\u62e5\u6709\u5e9e\u5927\u7684\u7528\u6237\u7fa4\u4f53\u3002\u5b83\u63d0\u4f9b\u591a\u79cd\u6587\u672c\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u529f\u80fd\uff0c\u9002\u7528\u4e8e\u673a\u5668\u7ffb\u8bd1\u7b49\u4efb\u52a1\u3002<\/span><\/p>\n
$\"\"$ <\/p>\n
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5. MonkeyLearn\uff1a\u6700\u5bb9\u6613\u4e0a\u624b\u7684\u6587\u672c\u5206\u6790\u5de5\u5177<\/span><\/strong><\/h2>\n
$\"\"$ <\/span><\/p>\n
\u5b98\u65b9\u7f51\u7ad9\uff1ahttps:\/\/www.medallia.com\/platform\/text-analytics\/?utm_campaign=monkeylearnmigration<\/span><\/p>\n
\u00a0<\/span><\/p>\n
MonkeyLearn\u4e3a\u4f01\u4e1a\u548c\u4e2a\u4eba\u63d0\u4f9b\u591a\u79cd\u57fa\u4e8e\u673a\u5668\u5b66\u4e60\u6280\u672f\u7684\u6587\u672c\u5206\u6790\u5de5\u5177\u3002\u7528\u6237\u53ef\u4ee5\u501f\u6b64\u6784\u5efa\u3001\u8bad\u7ec3\u548c\u90e8\u7f72\u81ea\u5b9a\u4e49\u6587\u672c\u5206\u6790\u6a21\u578b\uff0c\u4ece\u6570\u636e\u4e2d\u63d0\u53d6\u6709\u4ef7\u503c\u7684\u4fe1\u606f\u3002\u8be5\u5e73\u53f0\u4e3a\u5e38\u89c1\u7684\u6587\u672c\u5206\u6790\u4efb\u52a1\uff08\u5982\u60c5\u611f\u5206\u6790\u3001\u5b9e\u4f53\u8bc6\u522b\u548c\u5173\u952e\u8bcd\u63d0\u53d6\uff09\u63d0\u4f9b\u9884\u8bad\u7ec3\u6a21\u578b\uff0c\u5e76\u6839\u636e\u7279\u5b9a\u9700\u6c42\u6784\u5efa\u81ea\u5b9a\u4e49\u6a21\u578b\u3002<\/span><\/p>\n
\u00a0<\/span><\/p>\n
\u7528\u6237\u53ef\u4ee5\u5728\u591a\u4e2a\u7b2c\u4e09\u65b9\u5e94\u7528\u7a0b\u5e8f\u4e2d\u63a5\u5165MonkeyLearn\u7684API\uff0c\u5982\u81ea\u52a8\u5316\u5de5\u5177Zapier, Excel\u548c\u5ba2\u6237\u670d\u52a1\u5e73\u53f0<\/span>Zendesk<\/span>\uff0c\u6216\u7528\u6237\u81ea\u5df1\u7684\u5e73\u53f0\u3002<\/span><\/span><\/p>\n
\u00a0<\/span><\/p>\n
$\"\"$ <\/p>\n
\n
6. TextBlob\uff1a\u6700\u9002\u5408NLP\u9879\u76ee\u7684\u521d\u59cb\u539f\u578b\u8bbe\u8ba1<\/span><\/strong><\/h2>\n
$\"\"$ <\/p>\n
\u5b98\u65b9\u7f51\u7ad9\uff1ahttps:\/\/textblob.readthedocs.io\/en\/dev\/<\/span><\/p>\n
\u00a0<\/span><\/p>\n
TextBlob\u662f\u57fa\u4e8eNLTK\u548cPattern\u7684Python\u5e93\uff0c\u5e94\u7528\u4e8e\u5e38\u89c1NLP\u4efb\u52a1\uff0c\u5982\u8bcd\u6027\u6807\u6ce8\u3001\u540d\u8bcd\u77ed\u8bed\u63d0\u53d6\u3001\u60c5\u611f\u5206\u6790\u3001\u6587\u672c\u5206\u7c7b\u3001\u673a\u5668\u7ffb\u8bd1\u7b49\u3002<\/span><\/p>\n
\u00a0<\/span><\/p>\n
\u867d\u7136\u8fd9\u6b3e\u5de5\u5177\u975e\u5e38\u9002\u5408NLP\u9879\u76ee\u7684\u539f\u578b\u8bbe\u8ba1\uff0c\u4f46\u5b83\u7ee7\u627f\u4e86NLTK\u6027\u80fd\u8f83\u4f4e\u7684\u7f3a\u70b9\uff0c\u53ef\u80fd\u4e0d\u9002\u5408\u4f01\u4e1a\u7528\u4e8e\u5927\u89c4\u6a21\u751f\u4ea7\u3002\u53e6\u4e00\u65b9\u9762\uff0c\u6613\u4e8e\u64cd\u4f5c\u662fTextBlob\u7684\u4e3b\u8981\u4f18\u52bf\u2014\u2014\u8d8a\u6765\u8d8a\u591a\u7684\u521d\u5b66\u8005\u6b63\u542f\u52a8AI\u65b0\u9879\u76ee\uff0c\u56e0\u6b64TextBlob\u7684\u7528\u6237\u7fa4\u4f53\u53ef\u80fd\u4f1a\u589e\u52a0\u3002<\/span><\/p>\n
$\"\"$ <\/p>\n
\n
7. Stanford Core NLP\uff1a\u6700\u9002\u5408\u7528\u4e8e\u4fe1\u606f\u62bd\u53d6<\/span><\/strong><\/h2>\n
$\"\"$ <\/p>\n
\u5b98\u65b9\u7f51\u7ad9\uff1ahttps:\/\/stanfordnlp.github.io\/CoreNLP\/<\/span><\/p>\n
\u00a0<\/span><\/p>\n
Stanford Core NLP\u57fa\u4e8eJava\u7f16\u5199\uff0c\u53ef\u4ee5\u5206\u6790\u5404\u79cd\u7f16\u7a0b\u8bed\u8a00\u7684\u6587\u672c\uff0c\u8fd9\u610f\u5473\u7740\u5b83\u9002\u7528\u4e8e\u8bb8\u591a\u5f00\u53d1\u4eba\u5458\u3002Stanford Core NLP\u63d0\u4f9b\u4e86\u4e00\u7cfb\u5217\u81ea\u7136\u8bed\u8a00\u5206\u6790\u5de5\u5177\uff0c\u4ee5\u83b7\u53d6\u6587\u672c\u4fe1\u606f\uff0c\u5982\u8bcd\u6027\u6807\u6ce8\u3001\u547d\u540d\u5b9e\u4f53\u8bc6\u522b\u3001\u60c5\u611f\u548c\u6587\u672c\u5206\u6790\u3001\u53e5\u6cd5\u5206\u6790\u3001\u4f9d\u5b58\u53e5\u6cd5\u5206\u6790\u548c\u77ed\u8bed\u5206\u6790\u3002\u5176\u53ef\u6269\u5c55\u6027\u5f3a\u3001\u901f\u5ea6\u5feb\uff0c\u9002\u4e8e\u5904\u7406\u590d\u6742\u4efb\u52a1\u3002<\/span><\/p>\n
$\"\"$ <\/p>\n
\n
8.\u00a0<\/strong>Google Cloud Natural Language API<\/strong>\uff1a\u6700\u9002\u5408\u4ece\u6587\u672c\u6570\u636e\u4e2d\u6316\u6398\u6df1\u5c42\u89c1\u89e3<\/strong><\/span><\/strong><\/h2>\n
$\"\"$ <\/p>\n
\u5b98\u65b9\u7f51\u7ad9\uff1ahttps:\/\/cloud.google.com\/natural-language<\/span><\/p>\n
\u00a0<\/span><\/p>\n
Google Cloud Natural Language API\u662f\u8c37\u6b4c\u63d0\u4f9b\u7684\u3001\u57fa\u4e8e\u4e91\u7684\u81ea\u7136\u8bed\u8a00\u5904\u7406<\/span>API\u63a5\u53e3<\/span>\uff0c\u53ef\u5e2e\u52a9\u5f00\u53d1\u4eba\u5458\u4f7f\u7528\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u4ece\u975e\u7ed3\u6784\u5316\u6587\u672c\u4e2d\u63d0\u53d6\u4fe1\u606f\u3002\u8be5API\u63a5\u53e3\u53ef\u7528\u4e8e\u6587\u672c\u7684\u60c5\u611f\u5206\u6790\u3001\u5b9e\u4f53\u8bc6\u522b\u548c\u8bed\u6cd5\u5206\u6790\uff0c\u4ee5\u53ca\u6587\u672c\u5f52\u7c7b\u3002<\/span><\/span><\/p>\n
\u00a0<\/span><\/p>\n
\u5b83\u5141\u8bb8\u7528\u6237\u4f7f\u7528\u8c37\u6b4c\u7684\u9884\u8bad\u7ec3\u6a21\u578bAutoML Natural Language\u6765\u6784\u5efa\u81ea\u5b9a\u4e49\u673a\u5668\u5b66\u4e60\u6a21\u578b\uff0c\u8fd8\u53ef\u5229\u7528\u8c37\u6b4c\u7684\u9ad8\u7ea7\u95ee\u7b54\u548c\u8bed\u8a00\u7406\u89e3\u6280\u672f\u6765\u5e2e\u52a9\u5b8c\u6210\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4efb\u52a1\u3002<\/span><\/p>\n
\u00a0<\/span><\/p>\n
$\"\"$ <\/p>\n
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\n<\/section>\n
<\/section>\n
0<\/strong>3<\/strong><\/section>\n<\/section>\n
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8\u6b3e\u5de5\u5177\u4fe1\u606f\u4e00\u89c8\u8868<\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n\n\n\n\n\n\n\n\n\n\n\n
<\/td>\n \n
\u7f16\u7a0b\u8bed\u8a00\u548c\u63a5\u53e3\u7c7b\u578b<\/span><\/p>\n<\/td>\n
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\u662f\u5426\u5f00\u6e90<\/span><\/p>\n<\/td>\n
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\u8bb8\u53ef\u8bc1<\/span><\/p>\n<\/td>\n
\n
\u4ef7\u683c<\/span><\/p>\n<\/td>\n<\/tr>\n
\n
Gensim<\/span><\/p>\n<\/td>\n
\n
Python<\/span><\/p>\n<\/td>\n
\n
\u662f<\/span><\/p>\n<\/td>\n
\n
LGPL<\/span><\/p>\n<\/td>\n
\n
\u514d\u8d39<\/span><\/p>\n<\/td>\n<\/tr>\n
\n
spaCy<\/span><\/p>\n<\/td>\n
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Python<\/span><\/p>\n<\/td>\n
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\u662f<\/span><\/p>\n<\/td>\n
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MIT<\/span><\/p>\n<\/td>\n
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\u514d\u8d39<\/span><\/p>\n<\/td>\n<\/tr>\n
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IBM Watson<\/span><\/p>\n<\/td>\n
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\u591a\u79cd\u7c7b\u578b<\/span><\/p>\n<\/td>\n
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\u5426<\/span><\/p>\n<\/td>\n
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Proprietary<\/span><\/p>\n<\/td>\n
\n
\u6bcf\u4e2a\u9879\u76ee\u8d77\u4ef7 0.003 \u7f8e\u5143<\/span><\/p>\n<\/td>\n<\/tr>\n
\n
Natural Language Toolkit<\/span><\/p>\n<\/td>\n
\n
Python<\/span><\/p>\n<\/td>\n
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\u662f<\/span><\/p>\n<\/td>\n
\n
Apache 2.0<\/span><\/p>\n<\/td>\n
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\u514d\u8d39<\/span><\/p>\n<\/td>\n<\/tr>\n
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MonkeyLearn<\/span><\/p>\n<\/td>\n
\n
API\u63a5\u53e3<\/span><\/p>\n<\/td>\n
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\u5426<\/span><\/p>\n<\/td>\n
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Proprietary<\/span><\/p>\n<\/td>\n
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299\u7f8e\u5143\/\u6708<\/span><\/p>\n<\/td>\n<\/tr>\n
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TextBlob<\/span><\/p>\n<\/td>\n
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Python<\/span><\/p>\n<\/td>\n
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\u662f<\/span><\/p>\n<\/td>\n
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MIT<\/span><\/p>\n<\/td>\n
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\u514d\u8d39<\/span><\/p>\n<\/td>\n<\/tr>\n
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Stanford Core NLP<\/span><\/p>\n<\/td>\n
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Java<\/span><\/p>\n<\/td>\n
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GPL<\/span><\/p>\n<\/td>\n
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\u514d\u8d39<\/span><\/p>\n<\/td>\n<\/tr>\n
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Google Cloud Natural Language API<\/span><\/p>\n<\/td>\n
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\u591a\u79cd\u7c7b\u578b<\/span><\/p>\n<\/td>\n
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\u5426<\/span><\/p>\n<\/td>\n
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Proprietary<\/span><\/p>\n<\/td>\n
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\u6309\u5177\u4f53\u4efb\u52a1\u91cf\u5b9a\u4ef7<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
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0<\/strong>4<\/strong><\/section>\n<\/section>\n
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\u7ed3\u8bed<\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n
<\/p>\n
\u5728\u9009\u62e9\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5de5\u5177\u65f6\uff0c\u8981\u8003\u8651<\/span>\u7279\u5b9a\u4efb\u52a1\u9700\u6c42<\/span><\/strong>\u3001<\/span>\u6570\u636e\u590d\u6742\u7a0b\u5ea6<\/span><\/strong>\u3001<\/span>\u51c6\u786e\u5ea6\u8981\u6c42<\/span><\/strong>\u548c<\/span>\u6027\u80fd<\/span><\/strong>\uff0c\u4ee5\u53ca<\/span>\u9884\u7b97<\/span><\/strong>\u548c<\/span>\u6280\u672f\u4f18\u52bf<\/span><\/strong>\u3002\u6211\u4eec\u9700\u8981\u7684NLP\u89e3\u51b3\u65b9\u6848\u5e94\u65e2\u80fd<\/span>\u89e3\u51b3\u5f53\u524d\u7684\u95ee\u9898<\/span><\/strong>\uff0c\u53c8\u80fd<\/span>\u9002\u5e94\u6280\u672f\u53d1\u5c55\u548c\u6ee1\u8db3\u4e1a\u52a1\u9700\u6c42\u589e\u957f<\/span><\/strong>\u3002<\/span><\/span><\/p>\n
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0<\/strong>5<\/strong><\/section>\n<\/section>\n
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\u672f\u8bed\u8868<\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n
<\/section>\n
\n
1.\u00a0\u81ea\u7136\u8bed\u8a00\u5904\u7406<\/span><\/strong>\u00a0Natural Language Processing, NLP<\/span><\/section>\n
2.\u00a0\u6f5c\u5728\u8bed\u4e49\u5206\u6790<\/strong><\/span>\u00a0Latent Semantic Analysis, LSA<\/span><\/section>\n
3.\u00a0<\/span>\u6f5c\u5728\u72c4\u5229\u514b\u96f7\u5206\u5e03<\/strong><\/span>\u00a0Latent Dirichlet Allocation,\u00a0<\/span>LDA<\/span><\/span><\/span><\/section>\n
4.\u00a0\u673a\u5668\u5b66\u4e60<\/strong><\/span>\u00a0Machine Learning, ML<\/span><\/section>\n
5.\u00a0<\/span>\u5e94\u7528\u7a0b\u5e8f\u7f16\u7a0b\u63a5\u53e3<\/span><\/strong><\/span>\u00a0Application Programming Interface, API<\/span><\/section>\n
6.\u00a0\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5de5\u5177\u5305<\/strong><\/span>\u00a0Natural Language Toolkit, NLTK<\/span><\/section>\n
7.\u00a0\u81ea\u7136\u8bed\u8a00\u7406\u89e3<\/strong><\/span>\u00a0Natural Language Understanding, NLU<\/span><\/section>\n
8.\u00a0\u589e\u91cf\u5f0f\u5728\u7ebf\u5b66\u4e60\u7b97\u6cd5<\/strong><\/span>\u00a0Incremental Online Learning Algorithms<\/span><\/section>\n
\n
\n<\/section>\n
\u53c2\u8003\u94fe\u63a5\uff1ahttps:\/\/www.eweek.com\/artificial-intelligence\/natural-language-processing-tools\/<\/span><\/section>\n
\n
<\/section>\n<\/section>\n<\/section>\n
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\n
\u7279\u522b\u8bf4\u660e\uff1a\u672c\u6587\u4ec5\u4f9b\u5b66\u4e60\u4ea4\u6d41\uff0c\u5982\u6709\u4e0d\u59a5\u6b22\u8fce\u540e\u53f0\u8054\u7cfb\u5c0f\u7f16\u3002<\/span><\/section>\n<\/section>\n<\/blockquote>\n<\/section>\n","protected":false},"excerpt":{"rendered":"
\u6280\u672f\u79d1\u666e | \u76d8\u70b92024\u5e748\u6b3e\u6700\u4f73\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5de5\u5177 \u539f\u521b\u00a0\u94b1\u542b\u97ec\u00a0\u7ffb\u8bd1\u6280\u672f\u6559\u80b2\u4e0e\u7814\u7a76 2024 […]<\/p>\n","protected":false},"author":1,"featured_media":32320,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[82],"tags":[],"class_list":["post-32317","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-82"],"_links":{"self":[{"href":"https:\/\/linguaresources.com\/index.php?rest_route=\/wp\/v2\/posts\/32317","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/linguaresources.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/linguaresources.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/linguaresources.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/linguaresources.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=32317"}],"version-history":[{"count":2,"href":"https:\/\/linguaresources.com\/index.php?rest_route=\/wp\/v2\/posts\/32317\/revisions"}],"predecessor-version":[{"id":32335,"href":"https:\/\/linguaresources.com\/index.php?rest_route=\/wp\/v2\/posts\/32317\/revisions\/32335"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/linguaresources.com\/index.php?rest_route=\/wp\/v2\/media\/32320"}],"wp:attachment":[{"href":"https:\/\/linguaresources.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=32317"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/linguaresources.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=32317"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/linguaresources.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=32317"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}

<\/td>\n	\n \u7f16\u7a0b\u8bed\u8a00\u548c\u63a5\u53e3\u7c7b\u578b<\/span><\/p>\n<\/td>\n	\n \u662f\u5426\u5f00\u6e90<\/span><\/p>\n<\/td>\n	\n \u8bb8\u53ef\u8bc1<\/span><\/p>\n<\/td>\n	\n \u4ef7\u683c<\/span><\/p>\n<\/td>\n<\/tr>\n
\n Gensim<\/span><\/p>\n<\/td>\n	\n Python<\/span><\/p>\n<\/td>\n	\n \u662f<\/span><\/p>\n<\/td>\n	\n LGPL<\/span><\/p>\n<\/td>\n	\n \u514d\u8d39<\/span><\/p>\n<\/td>\n<\/tr>\n
\n spaCy<\/span><\/p>\n<\/td>\n	\n Python<\/span><\/p>\n<\/td>\n	\n \u662f<\/span><\/p>\n<\/td>\n	\n MIT<\/span><\/p>\n<\/td>\n	\n \u514d\u8d39<\/span><\/p>\n<\/td>\n<\/tr>\n
\n IBM Watson<\/span><\/p>\n<\/td>\n	\n \u591a\u79cd\u7c7b\u578b<\/span><\/p>\n<\/td>\n	\n \u5426<\/span><\/p>\n<\/td>\n	\n Proprietary<\/span><\/p>\n<\/td>\n	\n \u6bcf\u4e2a\u9879\u76ee\u8d77\u4ef7 0.003 \u7f8e\u5143<\/span><\/p>\n<\/td>\n<\/tr>\n
\n Natural Language Toolkit<\/span><\/p>\n<\/td>\n	\n Python<\/span><\/p>\n<\/td>\n	\n \u662f<\/span><\/p>\n<\/td>\n	\n Apache 2.0<\/span><\/p>\n<\/td>\n	\n \u514d\u8d39<\/span><\/p>\n<\/td>\n<\/tr>\n
\n MonkeyLearn<\/span><\/p>\n<\/td>\n	\n API\u63a5\u53e3<\/span><\/p>\n<\/td>\n	\n \u5426<\/span><\/p>\n<\/td>\n	\n Proprietary<\/span><\/p>\n<\/td>\n	\n 299\u7f8e\u5143\/\u6708<\/span><\/p>\n<\/td>\n<\/tr>\n
\n TextBlob<\/span><\/p>\n<\/td>\n	\n Python<\/span><\/p>\n<\/td>\n	\n \u662f<\/span><\/p>\n<\/td>\n	\n MIT<\/span><\/p>\n<\/td>\n	\n \u514d\u8d39<\/span><\/p>\n<\/td>\n<\/tr>\n
\n Stanford Core NLP<\/span><\/p>\n<\/td>\n	\n Java<\/span><\/p>\n<\/td>\n	\n \u662f<\/span><\/p>\n<\/td>\n	\n GPL<\/span><\/p>\n<\/td>\n	\n \u514d\u8d39<\/span><\/p>\n<\/td>\n<\/tr>\n
\n Google Cloud Natural Language API<\/span><\/p>\n<\/td>\n	\n \u591a\u79cd\u7c7b\u578b<\/span><\/p>\n<\/td>\n	\n \u5426<\/span><\/p>\n<\/td>\n	\n Proprietary<\/span><\/p>\n<\/td>\n	\n \u6309\u5177\u4f53\u4efb\u52a1\u91cf\u5b9a\u4ef7<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n \n \n \n \n \n<\/section>\n 0<\/strong>4<\/strong><\/section>\n<\/section>\n \n \n \u7ed3\u8bed<\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n <\/p>\n \u5728\u9009\u62e9\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5de5\u5177\u65f6\uff0c\u8981\u8003\u8651<\/span>\u7279\u5b9a\u4efb\u52a1\u9700\u6c42<\/span><\/strong>\u3001<\/span>\u6570\u636e\u590d\u6742\u7a0b\u5ea6<\/span><\/strong>\u3001<\/span>\u51c6\u786e\u5ea6\u8981\u6c42<\/span><\/strong>\u548c<\/span>\u6027\u80fd<\/span><\/strong>\uff0c\u4ee5\u53ca<\/span>\u9884\u7b97<\/span><\/strong>\u548c<\/span>\u6280\u672f\u4f18\u52bf<\/span><\/strong>\u3002\u6211\u4eec\u9700\u8981\u7684NLP\u89e3\u51b3\u65b9\u6848\u5e94\u65e2\u80fd<\/span>\u89e3\u51b3\u5f53\u524d\u7684\u95ee\u9898<\/span><\/strong>\uff0c\u53c8\u80fd<\/span>\u9002\u5e94\u6280\u672f\u53d1\u5c55\u548c\u6ee1\u8db3\u4e1a\u52a1\u9700\u6c42\u589e\u957f<\/span><\/strong>\u3002<\/span><\/span><\/p>\n \n \n \n \n \n<\/section>\n 0<\/strong>5<\/strong><\/section>\n<\/section>\n \n \n \u672f\u8bed\u8868<\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n <\/section>\n \n 1.\u00a0\u81ea\u7136\u8bed\u8a00\u5904\u7406<\/span><\/strong>\u00a0Natural Language Processing, NLP<\/span><\/section>\n 2.\u00a0\u6f5c\u5728\u8bed\u4e49\u5206\u6790<\/strong><\/span>\u00a0Latent Semantic Analysis, LSA<\/span><\/section>\n 3.\u00a0<\/span>\u6f5c\u5728\u72c4\u5229\u514b\u96f7\u5206\u5e03<\/strong><\/span>\u00a0Latent Dirichlet Allocation,\u00a0<\/span>LDA<\/span><\/span><\/span><\/section>\n 4.\u00a0\u673a\u5668\u5b66\u4e60<\/strong><\/span>\u00a0Machine Learning, ML<\/span><\/section>\n 5.\u00a0<\/span>\u5e94\u7528\u7a0b\u5e8f\u7f16\u7a0b\u63a5\u53e3<\/span><\/strong><\/span>\u00a0Application Programming Interface, API<\/span><\/section>\n 6.\u00a0\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5de5\u5177\u5305<\/strong><\/span>\u00a0Natural Language Toolkit, NLTK<\/span><\/section>\n 7.\u00a0\u81ea\u7136\u8bed\u8a00\u7406\u89e3<\/strong><\/span>\u00a0Natural Language Understanding, NLU<\/span><\/section>\n 8.\u00a0\u589e\u91cf\u5f0f\u5728\u7ebf\u5b66\u4e60\u7b97\u6cd5<\/strong><\/span>\u00a0Incremental Online Learning Algorithms<\/span><\/section>\n \n \n<\/section>\n \u53c2\u8003\u94fe\u63a5\uff1ahttps:\/\/www.eweek.com\/artificial-intelligence\/natural-language-processing-tools\/<\/span><\/section>\n \n <\/section>\n<\/section>\n<\/section>\n \n \n \u7279\u522b\u8bf4\u660e\uff1a\u672c\u6587\u4ec5\u4f9b\u5b66\u4e60\u4ea4\u6d41\uff0c\u5982\u6709\u4e0d\u59a5\u6b22\u8fce\u540e\u53f0\u8054\u7cfb\u5c0f\u7f16\u3002<\/span><\/section>\n<\/section>\n<\/blockquote>\n<\/section>\n","protected":false},"excerpt":{"rendered":" \u6280\u672f\u79d1\u666e \| \u76d8\u70b92024\u5e748\u6b3e\u6700\u4f73\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5de5\u5177 \u539f\u521b\u00a0\u94b1\u542b\u97ec\u00a0\u7ffb\u8bd1\u6280\u672f\u6559\u80b2\u4e0e\u7814\u7a76 2024 […]<\/p>\n","protected":false},"author":1,"featured_media":32320,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[82],"tags":[],"class_list":["post-32317","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-82"],"_links":{"self":[{"href":"https:\/\/linguaresources.com\/index.php?rest_route=\/wp\/v2\/posts\/32317","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/linguaresources.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/linguaresources.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/linguaresources.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/linguaresources.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=32317"}],"version-history":[{"count":2,"href":"https:\/\/linguaresources.com\/index.php?rest_route=\/wp\/v2\/posts\/32317\/revisions"}],"predecessor-version":[{"id":32335,"href":"https:\/\/linguaresources.com\/index.php?rest_route=\/wp\/v2\/posts\/32317\/revisions\/32335"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/linguaresources.com\/index.php?rest_route=\/wp\/v2\/media\/32320"}],"wp:attachment":[{"href":"https:\/\/linguaresources.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=32317"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/linguaresources.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=32317"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/linguaresources.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=32317"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}