{"id":100504,"date":"2021-03-29T19:14:26","date_gmt":"2021-03-29T11:14:26","guid":{"rendered":"\/\/m.catawbaoil.com\/?p=100504"},"modified":"2021-03-29T19:14:26","modified_gmt":"2021-03-29T11:14:26","slug":"nlp%e8%87%aa%e7%84%b6%e8%af%ad%e8%a8%80%e5%a4%84%e7%90%86%e6%8a%80%e6%9c%af%e9%ab%98%e7%ba%a7%e5%b7%a5%e7%a8%8b%e5%b8%88%e5%9f%b9%e8%ae%ad%e7%8f%ad4%e6%9c%88%e5%8c%97%e4%ba%ac-%e5%9c%a8%e7%ba%bf","status":"publish","type":"post","link":"\/\/m.catawbaoil.com\/100504.html","title":{"rendered":"NLP\u81ea\u7136\u8bed\u8a00\u5904\u7406\u6280\u672f\u9ad8\u7ea7\u5de5\u7a0b\u5e08\u57f9\u8bad\u73ed4\u6708\u5317\u4eac \u5728\u7ebf\u62a5\u540d"},"content":{"rendered":"
\u8bfe\u7a0b\u4ecb\u7ecd<\/p>\n
Python\u662f\u6570\u636e\u5206\u6790\u6700\u5e38\u7528\u7684\u8bed\u8a00\u4e4b\u4e00\uff0c\u4e2d\u6587\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08\u7b80\u79f0NLP\uff09\u662f\u8ba1\u7b97\u673a\u79d1\u5b66\u9886\u57df\u4e0e\u4eba\u5de5\u667a\u80fd\u9886\u57df\u4e2d\u7684\u4e00\u4e2a\u91cd\u8981\u65b9\u5411\u3002\u5b83\u7814\u7a76\u80fd\u5b9e\u73b0\u4eba\u4e0e\u8ba1\u7b97\u673a\u4e4b\u95f4\u7528\u81ea\u7136\u8bed\u8a00\u8fdb\u884c\u6709\u6548\u901a\u4fe1\u7684\u5404\u79cd\u7406\u8bba\u548c\u65b9\u6cd5\u3002NLP\u662f\u4e00\u95e8\u878d\u8bed\u8a00\u5b66\u3001\u673a\u5668\u5b66\u4e60\u3001\u7edf\u8ba1\u5b66\u3001\u5927\u6570\u636e\u4ee5\u53ca\u4eba\u5de5\u667a\u80fd\u7b49\u4e8e\u4e00\u4f53\u7684\u79d1\u5b66\u3002\u672c\u8bfe\u7a0b\u504f\u91cd\u5b9e\u6218\uff0c\u4e0d\u4ec5\u7cfb\u7edf\u4ecb\u7ecd\u4e86NLP\u6d89\u53ca\u7684\u77e5\u8bc6\u70b9\uff0c\u540c\u65f6\u4e5f\u6559\u4f1a\u5927\u5bb6\u5982\u4f55\u5b9e\u9645\u5e94\u7528\u4e0e\u5f00\u53d1\u3002<\/p>\n
\u672c\u6b21\u57f9\u8bad\u4e3b\u8981\u4ecb\u7ecdNLP\u6240\u9700\u8981\u4e86\u89e3\u7684Python\u79d1\u5b66\u5305\u3001\u6b63\u5219\u8868\u8fbe\u5f0f\u4ee5\u53ca\u68c0\u7d22\u6280\u672f\u7684\u77e5\u8bc6\u3002\u5305\u62ecNLP\u76f8\u5173\u7684\u5404\u4e2a\u77e5\u8bc6\u70b9\uff1a\u8bcd\u6cd5\u5206\u6790\u6280\u672f\u3001\u53e5\u6cd5\u5206\u6790\u6280\u672f\u3001\u5e38\u7528\u7684\u5411\u91cf\u5316\u65b9\u6cd5\uff0c\u4ecb\u7ecd\u673a\u5668\u5b66\u4e60\u7684\u4e00\u4e9b\u57fa\u672c\u6982\u5ff5\uff0c\u91cd\u70b9\u7a81\u51faNLP\u5e38\u7528\u7684\u5206\u7c7b\u7b97\u6cd5\u3001\u805a\u7c7b\u7b97\u6cd5\uff0c\u540c\u65f6\u8fd8\u5206\u4eab\u4e86\u51e0\u4e2a\u6848\u4f8b\u3002\u6bcf\u4e2a\u90e8\u5206\u90fd\u6709\u5bf9\u5e94\u6e90\u6570\u636e\u548c\u5b8c\u6574\u4ee3\u7801\uff0c\u4f9b\u5b9e\u6218\u4f7f\u7528\u3002<\/p>\n
\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09\u5c5e\u4e8e\u4eba\u5de5\u667a\u80fd\u4e0e\u8ba1\u7b97\u673a\u8bed\u8a00\u5b66\u7684\u4ea4\u53c9\u9886\u57df\uff0c\u5904\u7406\u7684\u662f\u8ba1\u7b97\u673a\u4e0e\u4eba\u7c7b\u8bed\u8a00\u4e4b\u95f4\u7684\u4ea4\u4e92\u95ee\u9898\u3002\u968f\u7740\u4eba\u673a\u4ea4\u4e92\u9700\u6c42\u7684\u65e5\u76ca\u589e\u957f\uff0c\u8ba1\u7b97\u673a\u5177\u5907\u5904\u7406\u5f53\u524d\u4e3b\u8981\u81ea\u7136\u8bed\u8a00\u7684\u80fd\u529b\u5df2\u7ecf\u6210\u4e3a\u4e86\u4e00\u4e2a\u5fc5\u7136\u8d8b\u52bf\u3002<\/p>\n
\u672c\u57f9\u8bad\u9002\u5408\u901a\u4fe1\u3001\u91d1\u878d\u3001\u4fdd\u9669\u3001\u5236\u9020\u3001\u533b\u836f\u3001\u6559\u80b2\u79d1\u7814\u3001\u5e02\u573a\u8c03\u7814\u3001\u8fde\u9501\u96f6\u552e\u548c\u7535\u5b50\u5546\u52a1\u7b49\u884c\u4e1a\u7684\u6570\u636e\u5206\u6790\u4eba\u5458\uff0c\u901a\u8fc7\u672c\u8bfe\u7a0b\u7684\u5b66\u4e60\uff0c\u5c06\u5bf9NLP\u4e0e\u6570\u636e\u79d1\u5b66\u9886\u57df\u4e2d\u7684\u6982\u5ff5\u6709\u4e00\u4e2a\u5145\u5206\u7684\u4e86\u89e3\uff0c\u5e76\u80fd\u5c06\u8fd9\u4e9b\u77e5\u8bc6\u5e94\u7528\u5230\u65e5\u5e38\u5de5\u4f5c\u4e2d\u3002<\/p>\n
\u57f9\u8bad\u65f6\u95f4\u53ca\u5730\u70b9<\/p>\n
2021\u5e7404\u670811\u65e5-04\u670813\u65e5\uff0810\u65e5\u62a5\u5230\uff09\u5730\u70b9\uff1a\u5317\u4eac<\/p>\n
2021\u5e7404\u670825\u65e5-04\u670827\u65e5\uff0824\u65e5\u62a5\u5230\uff09\u5730\u70b9\uff1a\u5e7f\u5dde<\/p>\n
\u57f9\u8bad\u5bf9\u8c61<\/p>\n
1.\u7cfb\u7edf\u67b6\u6784\u5e08\u3001\u7cfb\u7edf\u5206\u6790\u5e08\u3001\u9ad8\u7ea7\u7a0b\u5e8f\u5458\u3001\u8d44\u6df1\u5f00\u53d1\u4eba\u5458\u3002<\/p>\n
2.\u7275\u6d89\u5230\u7f51\u7edc\u91c7\u96c6\u3001\u5904\u7406\u548c\u89c4\u5212\u7684\u8d1f\u8d23\u4eba\u3001\u8bbe\u8ba1\u4eba\u5458\u3002<\/p>\n
3.\u653f\u5e9c\u673a\u5173\uff0c\u91d1\u878d\u4fdd\u9669\u3001\u79fb\u52a8\u7b49\u4ee5\u4e92\u8054\u7f51\u4fe1\u606f\u4e3a\u6570\u636e\u6765\u6e90\u5355\u4f4d\u7684\u8d1f\u8d23\u4eba\u3002<\/p>\n
4.\u9ad8\u6821\u3001\u79d1\u7814\u9662\u6240\u7275\u6d89\u5230\u4eba\u5de5\u667a\u80fd\u4e0e\u673a\u5668\u5b66\u4e60\u7684\u9879\u76ee\u8d1f\u8d23\u4eba\u3002<\/p>\n
\u4f1a\u8bae\u65e5\u7a0b
\n\uff08\u6700\u7ec8\u65e5\u7a0b\u4ee5\u4f1a\u8bae\u73b0\u573a\u4e3a\u51c6\uff09
\n\u8bfe\u7a0b\u6a21\u5757<\/p>\n
\u8bfe\u7a0b\u4e3b\u9898<\/p>\n
\u4e3b\u8981\u5185\u5bb9\u53ca\u6848\u4f8b\u548c\u6f14\u793a<\/p>\n
\u6a21\u5757\u4e00<\/p>\n
NLP\u548c\u6df1\u5ea6\u5b66\u4e60\u53d1\u5c55\u6982\u51b5\u548c\u6700\u65b0\u52a8\u6001<\/p>\n
1. NLP\u5386\u53f2\u73b0\u5728\u53ca\u4e3a\u4ec0\u4e48\u9700\u8981\u5b66\u4e60NLP\u6280\u672f<\/p>\n
2. NLP\u5b9e\u73b0\u673a\u5668\u5b66\u4e60\uff0c\u804a\u5929\u673a\u5668\u4eba\uff0c\u60c5\u611f\u5206\u6790\u548c\u8bed\u4e49\u641c\u7d22<\/p>\n
\u6a21\u5757\u4e8c<\/p>\n
NLP\u4e0ePYTHON\u7f16\u7a0b<\/p>\n
3. Python\u73af\u5883\u642d\u5efa\u53ca\u5f00\u53d1\u5de5\u5177\u5b89\u88c5<\/p>\n
4. NLP\u5e38\u7528PYTHON\u5f00\u53d1\u5305\u7684\u4ecb\u7ecd<\/p>\n
5. Jieba\u5b89\u88c5\u3001\u4ecb\u7ecd\u53ca\u4f7f\u7528<\/p>\n
6. Stanford NLP \u5728Python\u73af\u5883\u4e2d\u5b89\u88c5\u3001\u4ecb\u7ecd\u53ca\u4f7f\u7528<\/p>\n
7. Hanlp \u5728Python\u73af\u5883\u4e2d\u5b89\u88c5\u3001\u4ecb\u7ecd\u53ca\u4f7f\u7528<\/p>\n
\u6a21\u5757\u4e09<\/p>\n
\u5feb\u901f\u638c\u63e1NLP\u6280\u672f\u4e4b\u5206\u8bcd\u3001\u8bcd\u6027\u6807\u6ce8\u548c\u5173\u952e\u5b57\u63d0\u53d6<\/p>\n
08. \u5206\u8bcd\u3001\u8bcd\u6027\u6807\u6ce8\u53ca\u547d\u540d\u5b9e\u4f53\u8bc6\u522b\u4ecb\u7ecd\u53ca\u5e94\u7528<\/p>\n
09. \u51c6\u786e\u5206\u8bcd\u4e4b\u52a0\u8f7d\u81ea\u5b9a\u4e49\u5b57\u5178\u5206\u8bcd<\/p>\n
10. \u51c6\u786e\u5206\u8bcd\u4e4b\u52a8\u6001\u8c03\u6574\u8bcd\u9891\u548c\u5b57\u5178<\/p>\n
11. \u8bcd\u6027\u6807\u6ce8\u4ee3\u7801\u5b9e\u73b0\u53ca\u4fe1\u606f\u63d0\u53d6<\/p>\n
12. \u4eba\u540d\u3001\u5730\u540d\u3001\u673a\u6784\u540d\u7b49\u5173\u952e\u547d\u540d\u5b9e\u4f53\u8bc6\u522b<\/p>\n
13. TextRank\u7b97\u6cd5\u539f\u7406\u4ecb\u7ecd<\/p>\n
14. \u57fa\u4e8eTextRank\u5173\u952e\u8bcd\u63d0\u53d6<\/p>\n
\u6a21\u5757\u56db<\/p>\n
\u53e5\u6cd5\u4e0e\u6587\u6cd5<\/p>\n
16. \u4f9d\u5b58\u53e5\u6cd5\u4e0e\u8bed\u4e49\u4f9d\u5b58\u5206\u6790<\/p>\n
17. \u4f9d\u5b58\u53e5\u6cd5\u6811\u89e3\u6790\uff08\u5b50\u6811\u904d\u5386\uff0c\u9012\u5f52\u641c\u7d22\uff0c\u53f6\u5b50\u8282\u70b9\u63d0\u53d6\u7b49\uff09<\/p>\n
18. \u540d\u8bcd\u77ed\u8bed\u5757\u6316\u6398<\/p>\n
19. \u81ea\u5b9a\u4e49\u8bed\u6cd5\u4e0eCFG<\/p>\n
\u6a21\u5757\u4e94<\/p>\n
N-GRAM\u6587\u672c\u6316\u6398<\/p>\n
20. N-GRAM\u7b97\u6cd5\u4ecb\u7ecd<\/p>\n
21. N-GRAM\u751f\u6210\u8bcd\u8bed\u5bf9<\/p>\n
22. TF-IDF\u7b97\u6cd5\u4ecb\u7ecd\u5e94\u7528<\/p>\n
23. \u57fa\u4e8eTF-IDF\u6316\u6398\u7b26\u5408\u8bed\u8a00\u89c4\u8303\u7684N-GRAM<\/p>\n
\u6a21\u5757\u516d<\/p>\n
\u8868\u793a\u5b66\u4e60\u4e0e\u5173\u7cfb\u5d4c\u5165<\/p>\n
24. \u8bed\u8a00\u6a21\u578b<\/p>\n
25. \u8bcd\u5411\u91cf<\/p>\n
26. \u6df1\u5165\u7406\u89e3Word2vec\u7b97\u6cd5\u5c42\u6b21sofmax<\/p>\n
27. \u6df1\u5165\u7406\u89e3Word2vec\u7b97\u6cd5\u8d1f\u91c7\u6837<\/p>\n
28. 6.4 \u57fa\u4e8eWord2vec\u6280\u672f\u7684\u8bcd\u5411\u91cf\u3001\u5b57\u5411\u91cf\u8bad\u7ec3<\/p>\n
\u6a21\u5757\u4e03<\/p>\n
\u6df1\u5ea6\u5b66\u4e60\u4e4b\u5377\u79ef\u795e\u7ecf\u7f51\u7edc<\/p>\n
29. BP\u795e\u7ecf\u7f51\u7edc<\/p>\n
30. \u5f7b\u5e95\u7406\u89e3\u6df1\u5ea6\u5b66\u4e60\u6307\u5377\u79ef\u795e\u7ecf\u7f51\u7edc<\/p>\n
31. CNN\u6587\u672c\u5206\u7c7b<\/p>\n
32. CNN\u6587\u672c\u5206\u7c7b\u7b97\u6cd5\u6a21\u5757<\/p>\n
33. CNN\u6587\u672c\u5206\u7c7b\u6a21\u578b\u8be6\u89e3\u6570\u636e\u9884\u5904\u7406<\/p>\n
34. CNN\u6587\u672c\u5206\u7c7b\u6a21\u578b\u6d4b\u8bd5\u4e0e\u90e8\u7f72<\/p>\n
\u6a21\u5757\u516b<\/p>\n
\u6df1\u5ea6\u5b66\u4e60\u4e4b\u9012\u5f52\u795e\u7ecf\u7f51\u7edc<\/p>\n
35. \u9012\u5f52\u7f51\u7edc<\/p>\n
36. LSTM<\/p>\n
37. LSTM\u6587\u672c\u5206\u7c7b\u539f\u7406<\/p>\n
38. LSTM\u6587\u672c\u5206\u7c7b\u4ee3\u7801\u67b6\u6784<\/p>\n
39. LSTM\u6587\u672c\u5206\u7c7b\u4ee3\u7801\u8be6\u89e3<\/p>\n
40. LSTM\u6587\u672c\u5206\u7c7b\u6a21\u578b\u9884\u6d4b\u4e0e\u90e8\u7f72<\/p>\n
\u6a21\u5757\u4e5d<\/p>\n
\u7279\u5b9a\u9886\u57df\u547d\u540d\u5b9e\u4f53\u8bc6\u522bNER\u6280\u672f<\/p>\n
41. \u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u533b\u836f\u4fdd\u9669\u547d\u540d\u5b9e\u4f53\u8bc6\u522b\u8bfe\u9898\u80cc\u666f\u4ecb\u7ecd<\/p>\n
42. \u533b\u836f\u4fdd\u9669\u547d\u540d\u5b9e\u4f53\u548c\u5b9e\u4f53\u5173\u7cfb\u4f53\u7cfb\u5efa\u7acb\u548c\u547d\u540d\u5b9e\u4f53\u5206\u7c7b\u89c4\u8303<\/p>\n
43. \u533b\u836f\u4fdd\u9669\u547d\u540d\u5b9e\u4f53\u8bc6\u522b\u76f8\u5173\u524d\u6cbf\u6280\u672f\u548c\u96be\u70b9<\/p>\n
44. \u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u533b\u836f\u4fdd\u9669\u547d\u540d\u5b9e\u4f53\u8bc6\u522b\u7684\u7b97\u6cd5\u6a21\u5757\u8bbe\u8ba1<\/p>\n
45. \u6570\u636e\u7684\u91c7\u96c6\uff0c\u6e05\u6d17\uff0c\u6570\u636e\u673a\u5668\u81ea\u52a8\u6807\u6ce8\u53ca\u8f6c\u5316\u4e3a\u6df1\u5ea6\u5b66\u4e60\u683c\u5f0f<\/p>\n
46. \u6a21\u578b\u672c\u5730Lib\u5e93\u5c01\u88c5<\/p>\n
47. \u90e8\u7f72tensorflow\u8bad\u7ec3\u597d\u7684\u6a21\u578b\u4e3a\u4e91\u670d\u52a1<\/p>\n
48. \u7b97\u6cd5\u8bbe\u8ba1\u53ca\u4ee3\u7801\u5b9e\u73b0<\/p>\n
49. \u4ee3\u7801\u8c03\u8bd5\uff0c\u53c2\u6570\u4f18\u5316\u53ca\u6df1\u5ea6\u5256\u6790\uff08\u6df1\u5165\u7406\u89e3\uff09<\/p>\n
\u4f1a\u8bae\u5609\u5bbe
\n\uff08\u6700\u7ec8\u51fa\u5e2d\u5609\u5bbe\u4ee5\u4f1a\u8bae\u73b0\u573a\u4e3a\u51c6\uff09
\n\u5f20\u8001\u5e08<\/p>\n
\u963f\u91cc\u5927\u6570\u636e\u9ad8\u7ea7\u4e13\u5bb6\uff0c\u56fd\u5185\u8d44\u6df1\u7684\u5927\u6570\u636e\u3001Python\u6280\u672f\u4e13\u5bb6\uff0c\u5728Python\u6280\u672f\u7f16\u7a0b\u3001NLP\u81ea\u7136\u8bed\u8a00\u5904\u7406\u3001CV\u9886\u57df\u6709\u5f88\u6df1\u9020\u8be3\u6280\u672f\u8fdb\u884c\u4e86\u591a\u5e74\u7684\u6df1\u5165\u7684\u7814\u7a76\uff0c\u66f4\u4e3b\u8981\u7684\u662f\u8fd9\u4e9b\u6280\u672f\u5728\u5927\u91cf\u7684\u5b9e\u9645\u9879\u76ee\u4e2d\u5f97\u5230\u5e7f\u6cdb\u7684\u5e94\u7528\uff0c\u66fe\u4f7f\u7528Tensorflow\uff0cCaffe\uff0cKeras\u7b49\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u5b8c\u6210\u8fc7\u591a\u9879\u56fe\u50cf\uff0c\u8bed\u97f3\uff0cnlp\uff0c\u641c\u7d22\u76f8\u5173\u7684\u4eba\u5de5\u667a\u80fd\u5b9e\u9645\u9879\u76ee\uff0c\u7814\u53d1\u7ecf\u9a8c\u4e30\u5bcc\u3002\u540c\u65f6\u5177\u6709\u591a\u5e74\u6388\u8bfe\u57f9\u8bad\u7ecf\u9a8c\uff0c\u8bb2\u8bfe\u901a\u719f\u6613\u61c2\uff0c\u4ee3\u7801\u98ce\u683c\u7b80\u6d01\u6e05\u6670\u3002<\/p>\n
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