{"id":99039,"date":"2026-09-01T21:03:17","date_gmt":"2026-09-01T13:03:17","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/99039.html"},"modified":"2026-09-01T21:03:17","modified_gmt":"2026-09-01T13:03:17","slug":"%e3%80%8a%e8%87%aa%e7%84%b6%e8%af%ad%e8%a8%80%e5%a4%84%e7%90%86%ef%bc%9a%e5%9f%ba%e4%ba%8e%e5%a4%a7%e8%af%ad%e8%a8%80%e6%a8%a1%e5%9e%8b%e7%9a%84%e6%96%b9%e6%b3%95%e3%80%8b%e7%ac%ac1%e7%ab%a0-%e7%bb%aa","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/99039.html","title":{"rendered":"\u300a\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff1a\u57fa\u4e8e\u5927\u8bed\u8a00\u6a21\u578b\u7684\u65b9\u6cd5\u300b\u7b2c1\u7ae0 \u7eea\u8bba \u8bfb\u4e66\u7b14\u8bb0"},"content":{"rendered":"<hr \/>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260901130259-6a96cd03f3d6c.avif\" alt=\"img\" \/><\/p>\n<h3>\u76ee\u5f55<\/h3>\n<ul>\n<li>\n<p>1.1 \u81ea\u7136\u8bed\u8a00\u5904\u7406\u7684\u6982\u5ff5<\/p>\n<\/li>\n<li>\n<p>1.2 \u81ea\u7136\u8bed\u8a00\u5904\u7406\u7684\u96be\u70b9<\/p>\n<\/li>\n<li>\n<p>1.3 \u81ea\u7136\u8bed\u8a00\u5904\u7406\u4efb\u52a1\u4f53\u7cfb<\/p>\n<ul>\n<li>\n<p>1.3.1 \u4efb\u52a1\u5c42\u7ea7<\/p>\n<\/li>\n<li>\n<p>1.3.2 \u4efb\u52a1\u7c7b\u522b<\/p>\n<\/li>\n<li>\n<p>1.3.3 \u5c42\u6b21 \u00d7 \u4efb\u52a1 \u4e8c\u7ef4\u8868<\/p>\n<\/li>\n<li>\n<p>1.3.4 \u7814\u7a76\u5bf9\u8c61\u4e0e\u5c42\u6b21<\/p>\n<\/li>\n<li>\n<p>1.3.5 \u8bed\u8a00\u5b66\u77e5\u8bc6\u5e93\u4e0e\u8bed\u6599\u5e93<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>1.4 \u81ea\u7136\u8bed\u8a00\u5904\u7406\u6280\u672f\u53d1\u5c55\u5386\u53f2<\/p>\n<ul>\n<li>\n<p>1.4.1 \u4e24\u5927\u8303\u5f0f&#xff1a;\u7406\u6027\u4e3b\u4e49\u4e0e\u7ecf\u9a8c\u4e3b\u4e49<\/p>\n<\/li>\n<li>\n<p>1.4.2 \u8868\u793a\u65b9\u6cd5\u7684\u6f14\u8fdb<\/p>\n<\/li>\n<li>\n<p>1.4.3 \u56db\u4e2a\u53d1\u5c55\u9636\u6bb5<\/p>\n<\/li>\n<li>\n<p>1.4.4 \u9884\u8bad\u7ec3 &#043; \u7cbe\u8c03&#xff1a;\u65b0\u8303\u5f0f<\/p>\n<\/li>\n<li>\n<p>1.4.5 \u5927\u6a21\u578b\u65f6\u4ee3&#xff1a;ChatGPT\u3001\u63d0\u793a\u5de5\u7a0b\u4e0e\u6307\u4ee4\u5fae\u8c03<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>\u672c\u7ae0\u5c0f\u7ed3\u4e0e\u52a8\u624b\u7ec3\u4e60<\/p>\n<\/li>\n<\/ul>\n<hr \/>\n<h3>1.1 \u81ea\u7136\u8bed\u8a00\u5904\u7406\u7684\u6982\u5ff5<\/h3>\n<h4>1.1.1 \u4e00\u53e5\u8bdd\u89e3\u91ca&#xff1a;\u8ba9\u673a\u5668\u201c\u542c\u61c2\u4eba\u8bdd\u201d<\/h4>\n<p>\u60f3\u8c61\u4e00\u4e0b&#xff0c;\u4f60\u5bf9\u7740\u624b\u673a\u8bf4&#xff1a;\u201c\u5e2e\u6211\u67e5\u4e00\u4e0b\u660e\u5929\u53bb\u5317\u4eac\u7684\u9ad8\u94c1\u3002\u201d<\/p>\n<p>\u624b\u673a\u6ca1\u6709\u957f\u8033\u6735&#xff0c;\u4f46\u5b83\u8981\u628a\u4f60\u7684\u4e00\u4e32\u58f0\u97f3\u53d8\u6210\u6587\u5b57&#xff0c;\u518d\u7406\u89e3\u201c\u660e\u5929\u201d\u201c\u5317\u4eac\u201d\u201c\u9ad8\u94c1\u201d\u8fd9\u4e9b\u8bcd&#xff0c;\u6700\u540e\u8c03\u7528\u8ba2\u7968 App\u3002\u8fd9\u4e00\u6574\u5957\u201c\u4eba\u8bdd \u2192 \u673a\u5668\u80fd\u61c2\u7684\u4fe1\u606f \u2192 \u673a\u5668\u52a8\u4f5c\u201d\u7684\u8fc7\u7a0b&#xff0c;\u5c31\u662f NLP&#xff08;Natural Language Processing&#xff0c;\u81ea\u7136\u8bed\u8a00\u5904\u7406&#xff09; \u5728\u505a\u7684\u4e8b\u3002<\/p>\n<p>\u518d\u6253\u4e2a\u6bd4\u65b9&#xff1a;<\/p>\n<p>NLP \u5c31\u50cf\u4e00\u4f4d\u201c\u4eba\u673a\u7ffb\u8bd1\u5b98\u201d\u3002\u4eba\u7c7b\u8bf4\u7684\u662f\u5145\u6ee1\u7701\u7565\u3001\u6b67\u4e49\u3001\u60c5\u7eea\u7684\u201c\u81ea\u7136\u8bed\u8a00\u201d&#xff0c;\u673a\u5668\u53ea\u8ba4\u8bc6 0 \u548c 1\u3002NLP \u7684\u4efb\u52a1&#xff0c;\u5c31\u662f\u5728\u8fd9\u4e24\u79cd\u201c\u8bed\u8a00\u201d\u4e4b\u95f4\u642d\u4e00\u5ea7\u6865\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260901130300-6a96cd0404513.jpg\" alt=\"NLP \u6982\u5ff5\u793a\u610f\u56fe\uff1a\u4eba\u673a\u7ffb\u8bd1\u5b98\u628a\u4eba\u7c7b\u81ea\u7136\u8bed\u8a00\u7ffb\u8bd1\u6210\u673a\u5668\u80fd\u7406\u89e3\u7684\u7ed3\u6784\u5316\u4fe1\u606f\" \/><\/p>\n<p>\u56fe 1&#xff1a;NLP \u7684\u6838\u5fc3\u89d2\u8272\u2014\u2014\u628a\u4eba\u7c7b\u7684\u81ea\u7136\u8bed\u8a00\u7ffb\u8bd1\u6210\u673a\u5668\u80fd\u7406\u89e3\u7684\u7ed3\u6784\u5316\u4fe1\u606f\u3002<\/p>\n<h4>1.1.2 \u5b66\u672f\u5b9a\u4e49&#xff1a;NLP \u5230\u5e95\u662f\u4ec0\u4e48&#xff1f;<\/h4>\n<p>\u6559\u6750\u91cc\u7ed9\u51fa\u7684\u5b9a\u4e49\u66f4\u4e25\u8c28&#xff1a;<\/p>\n<p>\u81ea\u7136\u8bed\u8a00\u5904\u7406&#xff08;NLP&#xff09;&#xff1a;\u7528\u8ba1\u7b97\u673a\u6765\u7406\u89e3\u548c\u751f\u6210\u81ea\u7136\u8bed\u8a00\u7684\u5404\u79cd\u7406\u8bba\u548c\u65b9\u6cd5\u3002<\/p>\n<p>\u5b83\u6709\u4e24\u4e2a\u6838\u5fc3\u65b9\u5411&#xff1a;<\/p>\n<ul>\n<li>\n<p>NLU&#xff08;Natural Language Understanding&#xff0c;\u81ea\u7136\u8bed\u8a00\u7406\u89e3&#xff09;&#xff1a;\u8ba9\u673a\u5668\u201c\u8bfb\u61c2\u201d\u4eba\u8bdd\u3002<\/p>\n<\/li>\n<li>\n<p>NLG&#xff08;Natural Language Generation&#xff0c;\u81ea\u7136\u8bed\u8a00\u751f\u6210&#xff09;&#xff1a;\u8ba9\u673a\u5668\u201c\u5199\u51fa\/\u8bf4\u51fa\u201d\u4eba\u8bdd\u3002<\/p>\n<\/li>\n<\/ul>\n<p>NLP \u662f AI&#xff08;Artificial Intelligence&#xff0c;\u4eba\u5de5\u667a\u80fd&#xff09; \u7684\u4e00\u4e2a\u91cd\u8981\u5206\u652f&#xff0c;\u4e5f\u662f \u8ba1\u7b97\u673a\u79d1\u5b66 \u548c \u8bed\u8a00\u5b66 \u7684\u4ea4\u53c9\u5b66\u79d1&#xff0c;\u56e0\u6b64\u5b83\u8fd8\u6709\u4e00\u4e2a\u66f4\u5b66\u672f\u7684\u540d\u5b57\u2014\u2014CL&#xff08;Computational Linguistics&#xff0c;\u8ba1\u7b97\u8bed\u8a00\u5b66&#xff09;\u3002<\/p>\n<p>&#x1f330; \u7c7b\u6bd4&#xff1a;\u5982\u679c\u8bf4 AI \u662f\u4e00\u6240\u5927\u5b66&#xff0c;NLP \u5c31\u662f\u91cc\u9762\u7684\u201c\u8bed\u8a00\u5b66\u9662\u201d&#xff0c;\u4e13\u95e8\u7814\u7a76\u600e\u4e48\u8ba9\u673a\u5668\u548c\u4eba\u7528\u81ea\u7136\u8bed\u8a00\u4ea4\u6d41\u3002<\/p>\n<h4>1.1.3 \u4e3a\u4ec0\u4e48\u662f\u201c\u4eba\u5de5\u667a\u80fd\u7687\u51a0\u4e0a\u7684\u660e\u73e0\u201d&#xff1f;<\/h4>\n<p>NLP \u5e38\u88ab\u79f0\u4e3a \u201c\u4eba\u5de5\u667a\u80fd\u7687\u51a0\u4e0a\u7684\u660e\u73e0\u201d\u3002\u4e3a\u4ec0\u4e48&#xff1f;<\/p>\n<p>\u56e0\u4e3a\u8bed\u8a00\u662f\u4eba\u7c7b\u667a\u80fd\u7684\u6838\u5fc3\u8f7d\u4f53\u3002\u6211\u4eec\u601d\u8003\u95ee\u9898\u3001\u4f20\u9012\u77e5\u8bc6\u3001\u534f\u4f5c\u521b\u65b0&#xff0c;\u51e0\u4e4e\u90fd\u4f9d\u8d56\u8bed\u8a00\u3002\u5982\u679c\u673a\u5668\u4e0d\u80fd\u7406\u89e3\u8bed\u8a00&#xff0c;\u5b83\u5c31\u5f88\u96be\u771f\u6b63\u201c\u7406\u89e3\u201d\u4e16\u754c\u3002\u56e0\u6b64&#xff0c;NLP \u88ab\u666e\u904d\u8ba4\u4e3a\u662f\u5236\u7ea6 AI \u53d6\u5f97\u66f4\u5927\u7a81\u7834\u548c\u66f4\u5e7f\u6cdb\u5e94\u7528\u7684\u5173\u952e\u74f6\u9888\u4e4b\u4e00\u3002<\/p>\n<p>&#x1f4a1; \u53ef\u4ee5\u8fd9\u6837\u7406\u89e3&#xff1a;\u89c6\u89c9\u8ba9\u673a\u5668\u201c\u770b\u89c1\u201d\u4e16\u754c&#xff0c;\u8bed\u97f3\u8ba9\u673a\u5668\u201c\u542c\u89c1\u201d\u4e16\u754c&#xff0c;\u800c NLP \u8ba9\u673a\u5668\u201c\u7406\u89e3\u201d\u4e16\u754c\u3002<\/p>\n<h4>1.1.4 NLP \u5bb6\u65cf\u91cc\u7684\u51e0\u4f4d\u201c\u5144\u5f1f\u201d<\/h4>\n<p>\u5728\u6559\u6750\u548c\u8bba\u6587\u91cc&#xff0c;\u4f60\u8fd8\u4f1a\u7ecf\u5e38\u770b\u5230\u8fd9\u4e9b\u7f29\u5199&#xff0c;\u522b\u88ab\u5413\u5230&#xff1a;<\/p>\n<table>\n<tr>\u7f29\u5199\u82f1\u6587\u5168\u79f0\u4e2d\u6587\u542b\u4e49\u901a\u4fd7\u89e3\u91ca<\/tr>\n<tbody>\n<tr>\n<td>NLP<\/td>\n<td>Natural Language Processing<\/td>\n<td>\u81ea\u7136\u8bed\u8a00\u5904\u7406<\/td>\n<td>\u8ba9\u673a\u5668\u5904\u7406\u548c\u7406\u89e3\u4eba\u7c7b\u8bed\u8a00\u7684\u603b\u79f0<\/td>\n<\/tr>\n<tr>\n<td>NLU<\/td>\n<td>Natural Language Understanding<\/td>\n<td>\u81ea\u7136\u8bed\u8a00\u7406\u89e3<\/td>\n<td>\u673a\u5668\u201c\u542c\u61c2\u201d\u4f60\u5728\u8bf4\u4ec0\u4e48&#xff08;\u504f\u7406\u89e3&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>NLG<\/td>\n<td>Natural Language Generation<\/td>\n<td>\u81ea\u7136\u8bed\u8a00\u751f\u6210<\/td>\n<td>\u673a\u5668\u201c\u8bf4\u4eba\u8bdd\u201d\u7ed9\u4f60\u542c&#xff08;\u504f\u751f\u6210&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>CL<\/td>\n<td>Computational Linguistics<\/td>\n<td>\u8ba1\u7b97\u8bed\u8a00\u5b66<\/td>\n<td>\u8ba1\u7b97\u673a\u79d1\u5b66 &#043; \u8bed\u8a00\u5b66\u7684\u4ea4\u53c9\u5b66\u79d1<\/td>\n<\/tr>\n<tr>\n<td>ASR<\/td>\n<td>Automatic Speech Recognition<\/td>\n<td>\u81ea\u52a8\u8bed\u97f3\u8bc6\u522b<\/td>\n<td>\u628a\u58f0\u97f3\u53d8\u6210\u6587\u5b57<\/td>\n<\/tr>\n<tr>\n<td>TTS<\/td>\n<td>Text-to-Speech<\/td>\n<td>\u6587\u672c\u8f6c\u8bed\u97f3<\/td>\n<td>\u628a\u6587\u5b57\u8bfb\u51fa\u6765<\/td>\n<\/tr>\n<tr>\n<td>LM<\/td>\n<td>Language Model<\/td>\n<td>\u8bed\u8a00\u6a21\u578b<\/td>\n<td>\u9884\u6d4b\u4e0b\u4e00\u4e2a\u8bcd\u662f\u4ec0\u4e48\u7684\u6a21\u578b<\/td>\n<\/tr>\n<tr>\n<td>LLM<\/td>\n<td>Large Language Model<\/td>\n<td>\u5927\u8bed\u8a00\u6a21\u578b<\/td>\n<td>\u53c2\u6570\u91cf\u5de8\u5927\u7684\u8bed\u8a00\u6a21\u578b&#xff0c;\u6bd4\u5982 GPT\u3001\u6587\u5fc3\u4e00\u8a00<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&#x1f4a1; \u5c0f\u6280\u5de7&#xff1a;\u770b\u5230\u8bba\u6587\u91cc\u51fa\u73b0\u964c\u751f\u7f29\u5199&#xff0c;\u5148\u627e\u5b83\u7684\u5168\u79f0&#xff0c;\u518d\u5bf9\u5e94\u4e2d\u6587&#xff0c;\u5c31\u4e0d\u4f1a\u4e00\u5934\u96fe\u6c34\u4e86\u3002<\/p>\n<h4>1.1.5 \u4ece\u4e00\u4e2a\u771f\u5b9e\u4f8b\u5b50\u611f\u53d7 NLP<\/h4>\n<p>\u5047\u8bbe\u4f60\u53d1\u4e86\u4e00\u6761\u670b\u53cb\u5708&#xff1a;<\/p>\n<p>\u201c\u8fd9\u5bb6\u706b\u9505\u5e97\u6392\u961f\u4e24\u5c0f\u65f6&#xff0c;\u4f46\u771f\u7684\u503c&#xff01;\u201d<\/p>\n<p>NLP \u7cfb\u7edf\u53ef\u80fd\u8981\u5b8c\u6210&#xff1a;<\/p>\n<li>\u5206\u8bcd&#xff1a;\u8fd9\u5bb6 \/ \u706b\u9505\u5e97 \/ \u6392\u961f \/ \u4e24 \/ \u5c0f\u65f6 \/ \u4f46 \/ \u771f\u7684 \/ \u503c<\/li>\n<li>\u60c5\u611f\u5206\u6790&#xff1a;\u6574\u4f53\u662f\u201c\u6b63\u9762\u201d\u8bc4\u4ef7<\/li>\n<li>\u5b9e\u4f53\u8bc6\u522b&#xff1a;\u3010\u706b\u9505\u5e97\u3011\u662f\u5546\u5bb6&#xff0c;\u3010\u4e24\u5c0f\u65f6\u3011\u662f\u65f6\u95f4<\/li>\n<li>\u4fe1\u606f\u62bd\u53d6&#xff1a;\u53ef\u4ee5\u63d0\u70bc\u6210\u201c\u63a8\u8350\u67d0\u706b\u9505\u5e97\u201d<\/li>\n<p>\u4f60\u770b&#xff0c;\u4e00\u6761\u968f\u624b\u53d1\u7684\u52a8\u6001&#xff0c;\u80cc\u540e\u5176\u5b9e\u85cf\u4e86\u4e00\u6574\u5957 NLP \u6d41\u6c34\u7ebf\u3002<\/p>\n<h4>1.1.6 \u52a8\u624b\u5b9e\u9a8c&#xff1a;\u7528 jieba \u505a\u4e00\u4e2a\u4e2d\u6587\u5206\u8bcd\u5c0f\u5de5\u5177<\/h4>\n<p>\u4e0b\u9762\u7ed9\u51fa\u5b8c\u6574\u53ef\u8fd0\u884c\u7684 Python \u4ee3\u7801\u3002\u8fd0\u884c\u540e&#xff0c;\u4f60\u4f1a\u770b\u5230\u4e00\u53e5\u8bdd\u88ab\u5207\u5206\u6210\u4e00\u4e2a\u4e2a\u201c\u8bcd\u5757\u201d&#xff0c;\u8fd9\u5c31\u662f\u673a\u5668\u7406\u89e3\u4e2d\u6587\u7684\u7b2c\u4e00\u6b65\u3002<\/p>\n<p><span class=\"token triple-quoted-string string\">&#034;&#034;&#034;<br \/>\n\u5b9e\u9a8c 1.1&#xff1a;\u4e2d\u6587\u5206\u8bcd\u5165\u95e8<br \/>\n\u76ee\u6807&#xff1a;\u4f53\u9a8c NLP \u7684\u7b2c\u4e00\u6b65\u2014\u2014\u628a\u8fde\u7eed\u7684\u4e2d\u6587\u53e5\u5b50\u5207\u6210\u8bcd<br \/>\n\u4f9d\u8d56&#xff1a;jieba&#xff08;pip install jieba&#xff09;<br \/>\n&#034;&#034;&#034;<\/span><\/p>\n<p><span class=\"token keyword\">import<\/span> jieba<\/p>\n<p><span class=\"token comment\"># \u793a\u4f8b\u53e5\u5b50&#xff1a;\u751f\u6d3b\u4e2d\u7684\u81ea\u7136\u8bed\u8a00<\/span><br \/>\ntext <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#034;\u6211\u660e\u5929\u8981\u53bb\u5317\u4eac\u5929\u5b89\u95e8\u5e7f\u573a\u770b\u5347\u65d7\u4eea\u5f0f&#xff0c;\u987a\u4fbf\u5403\u7897\u70b8\u9171\u9762\u3002&#034;<\/span><\/p>\n<p><span class=\"token comment\"># \u7cbe\u786e\u6a21\u5f0f\u5206\u8bcd&#xff08;\u9002\u5408\u6587\u672c\u5206\u6790&#xff09;<\/span><br \/>\nwords <span class=\"token operator\">&#061;<\/span> jieba<span class=\"token punctuation\">.<\/span>lcut<span class=\"token punctuation\">(<\/span>text<span class=\"token punctuation\">,<\/span> cut_all<span class=\"token operator\">&#061;<\/span><span class=\"token boolean\">False<\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;\u3010\u7cbe\u786e\u6a21\u5f0f\u3011&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034; \/ &#034;<\/span><span class=\"token punctuation\">.<\/span>join<span class=\"token punctuation\">(<\/span>words<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># \u5168\u6a21\u5f0f\u5206\u8bcd&#xff08;\u628a\u6240\u6709\u53ef\u80fd\u7684\u8bcd\u90fd\u5217\u51fa\u6765&#xff09;<\/span><br \/>\nwords_full <span class=\"token operator\">&#061;<\/span> jieba<span class=\"token punctuation\">.<\/span>lcut<span class=\"token punctuation\">(<\/span>text<span class=\"token punctuation\">,<\/span> cut_all<span class=\"token operator\">&#061;<\/span><span class=\"token boolean\">True<\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;\u3010\u5168\u6a21\u5f0f\u3011&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034; \/ &#034;<\/span><span class=\"token punctuation\">.<\/span>join<span class=\"token punctuation\">(<\/span>words_full<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># \u641c\u7d22\u5f15\u64ce\u6a21\u5f0f&#xff08;\u66f4\u7ec6\u7c92\u5ea6&#xff0c;\u9002\u5408\u68c0\u7d22&#xff09;<\/span><br \/>\nwords_search <span class=\"token operator\">&#061;<\/span> jieba<span class=\"token punctuation\">.<\/span>lcut_for_search<span class=\"token punctuation\">(<\/span>text<span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;\u3010\u641c\u7d22\u6a21\u5f0f\u3011&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034; \/ &#034;<\/span><span class=\"token punctuation\">.<\/span>join<span class=\"token punctuation\">(<\/span>words_search<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>\u8fd0\u884c\u7ed3\u679c\u622a\u56fe&#xff1a;<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260901130301-6a96cd05036b8.png\" alt=\"\u5b9e\u9a8c 1.1 \u8fd0\u884c\u7ed3\u679c\" \/><\/p>\n<p>&#x1f914; \u60f3\u4e00\u60f3&#xff1a;\u4e3a\u4ec0\u4e48\u4e2d\u6587\u9700\u8981\u5206\u8bcd&#xff1f;\u56e0\u4e3a\u4e2d\u6587\u4e0d\u50cf\u82f1\u6587\u90a3\u6837\u6709\u7a7a\u683c\u9694\u5f00\u3002\u673a\u5668\u770b\u5230\u7684\u201c\u6211\u53bb\u5317\u4eac\u201d\u662f\u4e00\u4e2a\u8fde\u7eed\u5b57\u7b26\u4e32&#xff0c;\u5fc5\u987b\u5148\u5207\u5f00\u624d\u77e5\u9053\u201c\u5317\u4eac\u201d\u662f\u4e00\u4e2a\u5730\u540d\u3002<\/p>\n<hr \/>\n<h3>1.2 \u81ea\u7136\u8bed\u8a00\u5904\u7406\u7684\u96be\u70b9<\/h3>\n<p>NLP \u96be&#xff0c;\u4e0d\u662f\u96be\u5728\u201c\u8ba9\u8ba1\u7b97\u673a\u63a5\u89e6\u6587\u5b57\u201d&#xff0c;\u800c\u662f\u96be\u5728\u201c\u8ba9\u8ba1\u7b97\u673a\u771f\u6b63\u7406\u89e3\u6587\u5b57\u80cc\u540e\u7684\u610f\u4e49\u201d\u3002PPT \u548c\u6559\u6750\u628a\u96be\u70b9\u7cfb\u7edf\u5730\u5f52\u7eb3\u4e3a\u516b\u5927\u7c7b&#xff1a;<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260901130301-6a96cd0513ce2.png\" alt=\"\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7684\u516b\u5927\u96be\u70b9\" \/><\/p>\n<p>\u56fe 2&#xff1a;NLP \u7684\u516b\u5927\u96be\u70b9\u2014\u2014\u4ece\u7b26\u53f7\u5230\u8bed\u4e49&#xff0c;\u4ece\u89c4\u5219\u5230\u5e38\u8bc6&#xff0c;\u5c42\u5c42\u9012\u8fdb\u3002<\/p>\n<h4>1.2.1 \u62bd\u8c61\u6027&#xff1a;\u7b26\u53f7\u80cc\u540e\u7684\u590d\u6742\u4e16\u754c<\/h4>\n<p>\u8bed\u8a00\u662f\u7531\u62bd\u8c61\u7b26\u53f7\u6784\u6210\u7684\u3002\u6bcf\u4e2a\u8bcd\u80cc\u540e\u90fd\u5bf9\u5e94\u7740\u73b0\u5b9e\u4e16\u754c\u6216\u5934\u8111\u4e2d\u7684\u590d\u6742\u6982\u5ff5\u3002<\/p>\n<p>\u6bd4\u5982\u201c\u8f66\u201d\u8fd9\u4e2a\u5b57&#xff0c;\u53ef\u4ee5\u6307\u6c7d\u8f66\u3001\u706b\u8f66\u3001\u81ea\u884c\u8f66\u3001\u7535\u52a8\u8f66\u2026\u2026\u5b83\u4eec\u5171\u540c\u70b9\u662f\u201c\u6709\u8f6e\u5b50\u3001\u80fd\u8f7d\u4eba\u6216\u7269\u201d&#xff0c;\u4f46\u5f62\u6001\u5343\u5dee\u4e07\u522b\u3002\u673a\u5668\u53ea\u770b\u5230\u201c\u8f66\u201d\u8fd9\u4e2a\u5b57&#xff0c;\u65e0\u6cd5\u50cf\u4eba\u4e00\u6837\u4e00\u773c\u8054\u60f3\u5230\u5404\u79cd\u5177\u4f53\u4e8b\u7269\u3002<\/p>\n<p>&#x1f330; \u5bf9\u6bd4&#xff1a;\u56fe\u50cf\u8bc6\u522b\u53ef\u4ee5\u76f4\u63a5\u770b\u5230\u201c\u4e00\u53ea\u732b\u201d&#xff0c;\u4f46 NLP \u770b\u5230\u7684\u662f\u201c\u732b\u201d\u8fd9\u4e2a\u5b57&#xff0c;\u5fc5\u987b\u5148\u4ece\u7b26\u53f7\u6620\u5c04\u5230\u6982\u5ff5\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260901130301-6a96cd05d4a09.jpg\" alt=\"\u62bd\u8c61\u6027\u5361\u901a\u56fe\uff1a\u4e00\u4e2a\u201c\u8f66\u201d\u5b57\u901a\u8fc7\u865a\u7ebf\u8fde\u63a5\u6c7d\u8f66\u3001\u706b\u8f66\u3001\u81ea\u884c\u8f66\u3001\u7535\u52a8\u8f66\" \/><\/p>\n<p>\u56fe 2-1&#xff1a;\u62bd\u8c61\u6027\u2014\u2014\u201c\u8f66\u201d\u5b57\u80cc\u540e\u5bf9\u5e94\u591a\u79cd\u591a\u6837\u7684\u5177\u4f53\u4e8b\u7269\u3002<\/p>\n<h4>1.2.2 \u7ec4\u5408\u6027&#xff1a;\u6709\u9650\u62fc\u51fa\u65e0\u9650<\/h4>\n<p>\u8bed\u8a00\u7684\u57fa\u672c\u7b26\u53f7\u5355\u5143\u662f\u6709\u9650\u7684&#xff1a;\u82f1\u6587 26 \u4e2a\u5b57\u6bcd&#xff0c;\u4e2d\u6587\u5e38\u7528\u5b57\u4e5f\u5c31\u51e0\u5343\u4e2a\u3002\u4f46\u8fd9\u4e9b\u6709\u9650\u7b26\u53f7\u53ef\u4ee5\u7ec4\u5408\u51fa\u65e0\u9650\u7684\u8bed\u4e49\u3002<\/p>\n<p>\u66f4\u9ebb\u70e6\u7684\u662f&#xff0c;\u540c\u6837\u7684\u8bcd&#xff0c;\u987a\u5e8f\u4e0d\u540c&#xff0c;\u610f\u601d\u4e5f\u4e0d\u540c&#xff1a;<\/p>\n<p>\u201c\u72d7\u54ac\u4eba\u201d \u2260 \u201c\u4eba\u54ac\u72d7\u201d<\/p>\n<p>\u673a\u5668\u65e0\u6cd5\u50cf\u67e5\u5b57\u5178\u4e00\u6837\u201c\u7a77\u4e3e\u201d\u6240\u6709\u53ef\u80fd\u7684\u53e5\u5b50&#xff0c;\u5fc5\u987b\u5b66\u4f1a\u7ec4\u5408\u89c4\u5219\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260901130302-6a96cd06cbfbd.jpg\" alt=\"\u7ec4\u5408\u6027\u5361\u901a\u56fe\uff1a\u201c\u72d7\u54ac\u4eba\u201d\u548c\u201c\u4eba\u54ac\u72d7\u201d\u4e24\u4e2a\u53e5\u5b50\u9762\u5bf9\u9762\uff0c\u4e2d\u95f4\u753b\u7740\u4e0d\u7b49\u4e8e\u53f7\" \/><\/p>\n<p>\u56fe 2-2&#xff1a;\u7ec4\u5408\u6027\u2014\u2014\u540c\u6837\u51e0\u4e2a\u5b57&#xff0c;\u987a\u5e8f\u4e0d\u540c&#xff0c;\u610f\u601d\u5b8c\u5168\u4e0d\u540c\u3002<\/p>\n<h4>1.2.3 \u6b67\u4e49\u6027&#xff1a;\u540c\u4e00\u5f62\u5f0f&#xff0c;\u591a\u79cd\u8bed\u4e49<\/h4>\n<p>\u8fd9\u662f NLP \u6700\u8457\u540d\u7684\u96be\u70b9\u3002\u6b67\u4e49\u4e3b\u8981\u6765\u6e90\u4e8e\u201c\u8bed\u8a00\u5f62\u5f0f\u548c\u8bed\u4e49\u4e4b\u95f4\u7684\u591a\u5bf9\u591a\u5173\u7cfb\u201d&#xff1a;<\/p>\n<ul>\n<li>\n<p>\u4e00\u8bcd\u591a\u4e49&#xff1a;\u201c\u82f9\u679c\u201d\u662f\u6c34\u679c&#xff0c;\u4e5f\u662f\u516c\u53f8\u3002<\/p>\n<\/li>\n<li>\n<p>\u4e00\u4e49\u591a\u8bcd&#xff1a;\u201c\u66f9\u96ea\u82b9\u5199\u4e86\u300a\u7ea2\u697c\u68a6\u300b\u201d\u548c\u201c\u300a\u7ea2\u697c\u68a6\u300b\u7684\u4f5c\u8005\u662f\u66f9\u96ea\u82b9\u201d&#xff0c;\u5f62\u5f0f\u4e0d\u540c&#xff0c;\u8bed\u4e49\u76f8\u540c\u3002<\/p>\n<\/li>\n<li>\n<p>\u53e5\u6cd5\u6b67\u4e49&#xff1a;\u201c\u5173\u5fc3\u81ea\u5df1\u7684\u5b69\u5b50\u201d\u2014\u2014\u8c01\u5173\u5fc3\u8c01&#xff1f;<\/p>\n<\/li>\n<\/ul>\n<p>&#x1f4a1; \u89e3\u51b3\u6b67\u4e49\u7684\u5173\u952e&#xff1a;\u4e0a\u4e0b\u6587\u3002\u4eba\u7c7b\u9760\u5e38\u8bc6\u548c\u8bed\u5883\u79d2\u61c2&#xff0c;\u673a\u5668\u5374\u5f88\u96be\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260901130303-6a96cd07c7ac4.jpg\" alt=\"\u6b67\u4e49\u6027\u5361\u901a\u56fe\uff1a\u201c\u82f9\u679c\u201d\u8fd9\u4e2a\u8bcd\u5206\u5c94\u6307\u5411\u7ea2\u82f9\u679c\u6c34\u679c\u548c\u82f9\u679c\u516c\u53f8\u6807\u5fd7\" \/><\/p>\n<p>\u56fe 2-3&#xff1a;\u6b67\u4e49\u6027\u2014\u2014\u540c\u4e00\u5f62\u5f0f\u53ef\u80fd\u5bf9\u5e94\u591a\u79cd\u8bed\u4e49\u3002<\/p>\n<h4>1.2.4 \u8fdb\u5316\u6027&#xff1a;\u8bed\u8a00\u662f\u201c\u6d3b\u7684\u201d<\/h4>\n<p>\u4efb\u4f55\u4e00\u79cd\u201c\u6d3b\u7740\u201d\u7684\u8bed\u8a00\u90fd\u5728\u4e0d\u65ad\u53d1\u5c55\u53d8\u5316\u3002\u65b0\u8bcd\u5c42\u51fa\u4e0d\u7a77&#xff0c;\u65e7\u8bcd\u4e5f\u88ab\u8d4b\u4e88\u65b0\u542b\u4e49&#xff1a;<\/p>\n<ul>\n<li>\n<p>\u65b0\u8bcd&#xff1a;\u8d85\u5973\u3001\u975e\u5178\u3001\u65b0\u51a0\u3001\u5185\u5377\u3001\u8eba\u5e73<\/p>\n<\/li>\n<li>\n<p>\u65e7\u8bcd\u65b0\u4e49&#xff1a;\u8150\u8d25&#xff08;\u539f\u6307\u98df\u7269\u53d8\u8d28 \u2192 \u4e5f\u6307\u8d2a\u6c61&#xff09;\u3001\u676f\u5177&#xff08;\u8c10\u97f3\u201c\u60b2\u5267\u201d&#xff09;<\/p>\n<\/li>\n<\/ul>\n<p>\u673a\u5668\u5b66\u7684\u662f\u201c\u8fc7\u53bb\u7684\u8bed\u6599\u201d&#xff0c;\u4f46\u4eba\u7c7b\u6bcf\u5929\u90fd\u5728\u521b\u9020\u65b0\u8bf4\u6cd5\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260901130304-6a96cd08bd34b.jpg\" alt=\"\u8fdb\u5316\u6027\u5361\u901a\u56fe\uff1a\u65f6\u95f4\u8f74\u4e0a\u5192\u51fa\u201c\u5185\u5377\u201d\u201c\u8eba\u5e73\u201d\u201cYYDS\u201d\u7b49\u65b0\u8bcd\uff0c\u8001\u8bcd\u5178\u4e00\u8138\u95ee\u53f7\" \/><\/p>\n<p>\u56fe 2-4&#xff1a;\u8fdb\u5316\u6027\u2014\u2014\u8bed\u8a00\u4e0d\u65ad\u4ea7\u751f\u65b0\u8bcd\u548c\u65b0\u4e49&#xff0c;\u8001\u8bcd\u5178\u8ddf\u4e0d\u4e0a\u8282\u594f\u3002<\/p>\n<h4>1.2.5 \u975e\u89c4\u8303\u6027&#xff1a;\u7f51\u7edc\u6587\u672c\u7684\u201c\u653e\u98de\u81ea\u6211\u201d<\/h4>\n<p>\u4e92\u8054\u7f51\u4e0a&#xff0c;\u5c24\u5176\u662f\u7528\u6237\u4ea7\u751f\u7684\u5185\u5bb9\u91cc&#xff0c;\u7ecf\u5e38\u51fa\u73b0\u975e\u89c4\u8303\u6587\u672c&#xff1a;<\/p>\n<ul>\n<li>\n<p>\u97f3\u8fd1\u8bcd&#xff1a;\u201c\u4e3a\u4ec0\u4e48\u201d \u2192 \u201c\u4e3a\u68ee\u4e48\u201d<\/p>\n<\/li>\n<li>\n<p>\u7b80\u5199\u53d8\u5f62&#xff1a;please \u2192 pls&#xff0c;cool \u2192 coooooooool<\/p>\n<\/li>\n<li>\n<p>\u65b0\u9020\u8bcd&#xff1a;\u559c\u5927\u666e\u5954\u3001\u4e0d\u660e\u89c9\u5389<\/p>\n<\/li>\n<li>\n<p>\u9519\u522b\u5b57&#xff1a;\u5404\u79cd\u624b\u8bef<\/p>\n<\/li>\n<\/ul>\n<p>\u8fd9\u4e9b\u5bf9\u673a\u5668\u6765\u8bf4\u90fd\u662f\u201c\u566a\u58f0\u201d\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260901130305-6a96cd09b284c.jpg\" alt=\"\u975e\u89c4\u8303\u6027\u5361\u901a\u56fe\uff1a\u624b\u673a\u804a\u5929\u6846\u91cc\u98de\u51fa\u201c\u4e3a\u68ee\u4e48\u201d\u201cplz\u201d\u201ccooooool\u201d\u201c\u559c\u5927\u666e\u5954\u201d\u201c\u4e0d\u660e\u89c9\u5389\u201d\uff0c\u5c0f\u673a\u5668\u4eba\u6ee1\u5934\u95ee\u53f7\" \/><\/p>\n<p>\u56fe 2-5&#xff1a;\u975e\u89c4\u8303\u6027\u2014\u2014\u7f51\u7edc\u6587\u672c\u7684\u8c10\u97f3\u3001\u7b80\u5199\u3001\u65b0\u9020\u8bcd\u8ba9\u673a\u5668\u5934\u75bc\u3002<\/p>\n<h4>1.2.6 \u4e3b\u89c2\u6027&#xff1a;\u6807\u51c6\u4e0d\u7edf\u4e00<\/h4>\n<p>\u548c\u56fe\u50cf\u3001\u8bed\u97f3\u4e0d\u540c&#xff0c;NLP \u4efb\u52a1\u5f80\u5f80\u5e26\u6709\u4e3b\u89c2\u6027\u3002\u6bd4\u5982&#xff1a;<\/p>\n<p>\u201c\u6253\u7bee\u7403\u201d\u662f\u4e00\u4e2a\u8bcd\u8fd8\u662f\u4e24\u4e2a\u8bcd&#xff1f;<\/p>\n<p>\u4e0d\u540c\u6807\u6ce8\u5458\u53ef\u80fd\u6709\u4e0d\u540c\u7b54\u6848\u3002\u8fd9\u79cd\u4e3b\u89c2\u6027\u63d0\u9ad8\u4e86\u6570\u636e\u6807\u6ce8\u96be\u5ea6&#xff0c;\u4e5f\u8ba9\u7cfb\u7edf\u8bc4\u4ef7\u53d8\u5f97\u590d\u6742\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260901130306-6a96cd0aa7aaa.jpg\" alt=\"\u4e3b\u89c2\u6027\u5361\u901a\u56fe\uff1a\u4e24\u4e2a\u4eba\u5bf9\u201c\u6253\u7bee\u7403\u201d\u6807\u6ce8\u65b9\u5f0f\u4e0d\u540c\uff0c\u4e00\u4e2a\u6846\u6574\u4f53\uff0c\u4e00\u4e2a\u62c6\u5f00\u6846\" \/><\/p>\n<p>\u56fe 2-6&#xff1a;\u4e3b\u89c2\u6027\u2014\u2014\u4e0d\u540c\u4eba\u5bf9\u540c\u4e00\u6bb5\u6587\u5b57\u53ef\u80fd\u6709\u4e0d\u540c\u7684\u6807\u6ce8\u6807\u51c6\u3002<\/p>\n<h4>1.2.7 \u77e5\u8bc6\u6027&#xff1a;\u7406\u89e3\u9700\u8981\u80cc\u666f\u77e5\u8bc6<\/h4>\n<p>\u7406\u89e3\u8bed\u8a00\u901a\u5e38\u9700\u8981\u5927\u91cf\u80cc\u666f\u77e5\u8bc6\u548c\u63a8\u7406\u80fd\u529b\u3002<\/p>\n<p>\u201c\u5f20\u4e09\u6253\u4e86\u674e\u56db&#xff0c;\u7136\u540e\u4ed6\u5012\u4e86\u3002\u201d<\/p>\n<p>\u95ee&#xff1a;\u8fd9\u91cc\u7684\u201c\u4ed6\u201d\u6307\u8c01&#xff1f;<\/p>\n<p>\u4eba\u7c7b\u4f1a\u7ed3\u5408\u751f\u6d3b\u5e38\u8bc6\u5224\u65ad\u201c\u88ab\u6253\u7684\u4eba\u66f4\u53ef\u80fd\u5012\u4e0b\u201d&#xff0c;\u4f46\u673a\u5668\u6ca1\u6709\u8fd9\u4e9b\u9ed8\u8ba4\u77e5\u8bc6\u3002\u5982\u4f55\u8868\u793a\u3001\u83b7\u53d6\u5e76\u5229\u7528\u77e5\u8bc6&#xff0c;\u81f3\u4eca\u4ecd\u662f\u5f00\u653e\u95ee\u9898\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260901130307-6a96cd0bd2e54.jpg\" alt=\"\u77e5\u8bc6\u6027\u5361\u901a\u56fe\uff1a\u4fa6\u63a2\u673a\u5668\u4eba\u5728\u201c\u5f20\u4e09\u6253\u4e86\u674e\u56db\uff0c\u7136\u540e\u4ed6\u5012\u4e86\u201d\u4e2d\u63a8\u7406\u51fa\u201c\u4ed6\u201d\u6307\u674e\u56db\" \/><\/p>\n<p>\u56fe 2-7&#xff1a;\u77e5\u8bc6\u6027\u2014\u2014\u7406\u89e3\u53e5\u5b50\u9700\u8981\u7ed3\u5408\u751f\u6d3b\u5e38\u8bc6\u548c\u80cc\u666f\u77e5\u8bc6\u3002<\/p>\n<h4>1.2.8 \u96be\u79fb\u690d\u6027&#xff1a;\u4e00\u4e2a\u6a21\u578b\u8d70\u4e0d\u901a\u5929\u4e0b<\/h4>\n<p>NLP \u6d89\u53ca\u7684\u4efb\u52a1\u548c\u9886\u57df\u4f17\u591a&#xff0c;\u5f7c\u6b64\u5dee\u5f02\u5f88\u5927&#xff1a;<\/p>\n<ul>\n<li>\n<p>\u4e0d\u540c\u4efb\u52a1\u76ee\u6807\u4e0d\u540c&#xff1a;\u5206\u8bcd vs \u673a\u5668\u7ffb\u8bd1<\/p>\n<\/li>\n<li>\n<p>\u4e0d\u540c\u9886\u57df\u7528\u8bcd\u4e0d\u540c&#xff1a;\u533b\u5b66\u6587\u672c vs \u4f53\u80b2\u65b0\u95fb<\/p>\n<\/li>\n<li>\n<p>\u4e0d\u540c\u8bed\u8a00\u7ed3\u6784\u4e0d\u540c&#xff1a;\u4e2d\u6587\u65e0\u7a7a\u683c vs \u82f1\u6587\u6709\u5f62\u6001\u53d8\u5316<\/p>\n<\/li>\n<\/ul>\n<p>\u56e0\u6b64&#xff0c;\u5f88\u96be\u7528\u4e00\u4e2a\u7edf\u4e00\u6a21\u578b\u89e3\u51b3\u6240\u6709\u95ee\u9898&#xff0c;\u8fd9\u4e5f\u7ed9\u7cfb\u7edf\u53ef\u79fb\u690d\u6027\u5e26\u6765\u5de8\u5927\u6311\u6218\u3002\u5927\u8bed\u8a00\u6a21\u578b\u7684\u51fa\u73b0&#xff0c;\u6b63\u662f\u4e3a\u4e86\u7f13\u89e3\u8fd9\u4e2a\u95ee\u9898\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260901130308-6a96cd0ccfc71.jpg\" alt=\"\u96be\u79fb\u690d\u6027\u5361\u901a\u56fe\uff1a\u4e00\u4e2a\u673a\u5668\u4eba\u624b\u5fd9\u811a\u4e71\u9762\u5bf9\u533b\u5b66\u62a5\u544a\u3001\u4f53\u80b2\u65b0\u95fb\u3001\u4e2d\u6587\u548c\u82f1\u6587\u6587\u672c\" \/><\/p>\n<p>\u56fe 2-8&#xff1a;\u96be\u79fb\u690d\u6027\u2014\u2014\u4e0d\u540c\u4efb\u52a1\u3001\u9886\u57df\u3001\u8bed\u8a00\u5dee\u5f02\u5927&#xff0c;\u4e00\u4e2a\u6a21\u578b\u96be\u4ee5\u901a\u5403\u3002<\/p>\n<h4>1.2.9 \u52a8\u624b\u5b9e\u9a8c&#xff1a;\u53ef\u89c6\u5316\u201c\u6b67\u4e49\u201d\u5728\u4e0d\u540c\u4e0a\u4e0b\u6587\u4e2d\u7684\u53d8\u5316<\/h4>\n<p>\u4e0b\u9762\u7684\u4ee3\u7801\u7528 matplotlib \u753b\u51fa\u4e00\u4e2a\u201c\u8bcd\u4e49\u70ed\u5ea6\u56fe\u201d&#xff0c;\u5c55\u793a\u540c\u4e00\u4e2a\u8bcd\u5728\u4e0d\u540c\u53e5\u5b50\u91cc\u504f\u5411\u54ea\u79cd\u542b\u4e49\u3002Mac \u7528\u6237\u53ef\u76f4\u63a5\u8fd0\u884c&#xff0c;\u4e2d\u6587\u663e\u793a\u5df2\u914d\u7f6e\u597d\u3002<\/p>\n<p><span class=\"token triple-quoted-string string\">&#034;&#034;&#034;<br \/>\n\u5b9e\u9a8c 1.2&#xff1a;\u6b67\u4e49\u53ef\u89c6\u5316<br \/>\n\u76ee\u6807&#xff1a;\u76f4\u89c2\u611f\u53d7\u201c\u540c\u4e00\u4e2a\u8bcd\u5728\u4e0d\u540c\u4e0a\u4e0b\u6587\u91cc\u6709\u4e0d\u540c\u542b\u4e49\u201d<br \/>\n\u4f9d\u8d56&#xff1a;matplotlib&#xff08;pip install matplotlib&#xff09;<br \/>\n&#034;&#034;&#034;<\/span><\/p>\n<p><span class=\"token keyword\">import<\/span> matplotlib<span class=\"token punctuation\">.<\/span>pyplot <span class=\"token keyword\">as<\/span> plt<br \/>\n<span class=\"token keyword\">import<\/span> numpy <span class=\"token keyword\">as<\/span> np<\/p>\n<p><span class=\"token comment\"># Mac \u4e2d\u6587\u5b57\u4f53\u914d\u7f6e<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>rcParams<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;font.sans-serif&#039;<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;Arial Unicode MS&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;DejaVu Sans&#039;<\/span><span class=\"token punctuation\">]<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>rcParams<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;axes.unicode_minus&#039;<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token operator\">&#061;<\/span> <span class=\"token boolean\">False<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>rcParams<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;font.family&#039;<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#039;Arial Unicode MS&#039;<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>rcParams<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;axes.facecolor&#039;<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#039;white&#039;<\/span><\/p>\n<p><span class=\"token comment\"># \u6a21\u62df\u201c\u82f9\u679c\u201d\u5728\u4e0d\u540c\u4e0a\u4e0b\u6587\u4e2d\u7684\u8bed\u4e49\u503e\u5411<\/span><br \/>\ncontexts <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><br \/>\n    <span class=\"token string\">&#034;\u6211\u6bcf\u5929\u65e9\u4e0a\u5403\u4e00\u4e2a\u82f9\u679c&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string\">&#034;\u82f9\u679c\u516c\u53f8\u53d1\u5e03\u4e86\u65b0 iPhone&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string\">&#034;\u725b\u987f\u88ab\u82f9\u679c\u7838\u4e2d\u4e86\u5934&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string\">&#034;\u82f9\u679c\u624b\u8868\u53ef\u4ee5\u6d4b\u5fc3\u7387&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n<span class=\"token punctuation\">]<\/span><br \/>\n<span class=\"token comment\"># 0&#061;\u6c34\u679c, 1&#061;\u516c\u53f8\/\u54c1\u724c<\/span><br \/>\nfruit_score <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><span class=\"token number\">0.95<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0.05<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0.90<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0.10<\/span><span class=\"token punctuation\">]<\/span><br \/>\nbrand_score <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><span class=\"token number\">0.05<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0.95<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0.10<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0.90<\/span><span class=\"token punctuation\">]<\/span><\/p>\n<p>x <span class=\"token operator\">&#061;<\/span> np<span class=\"token punctuation\">.<\/span>arange<span class=\"token punctuation\">(<\/span><span class=\"token builtin\">len<\/span><span class=\"token punctuation\">(<\/span>contexts<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\nwidth <span class=\"token operator\">&#061;<\/span> <span class=\"token number\">0.35<\/span><\/p>\n<p>fig<span class=\"token punctuation\">,<\/span> ax <span class=\"token operator\">&#061;<\/span> plt<span class=\"token punctuation\">.<\/span>subplots<span class=\"token punctuation\">(<\/span>figsize<span class=\"token operator\">&#061;<\/span><span class=\"token punctuation\">(<\/span><span class=\"token number\">10<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">6<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\nbars1 <span class=\"token operator\">&#061;<\/span> ax<span class=\"token punctuation\">.<\/span>bar<span class=\"token punctuation\">(<\/span>x <span class=\"token operator\">&#8211;<\/span> width<span class=\"token operator\">\/<\/span><span class=\"token number\">2<\/span><span class=\"token punctuation\">,<\/span> fruit_score<span class=\"token punctuation\">,<\/span> width<span class=\"token punctuation\">,<\/span> label<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#039;\u6c34\u679c\u542b\u4e49&#039;<\/span><span class=\"token punctuation\">,<\/span> color<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#039;#FF9F43&#039;<\/span><span class=\"token punctuation\">)<\/span><br \/>\nbars2 <span class=\"token operator\">&#061;<\/span> ax<span class=\"token punctuation\">.<\/span>bar<span class=\"token punctuation\">(<\/span>x <span class=\"token operator\">&#043;<\/span> width<span class=\"token operator\">\/<\/span><span class=\"token number\">2<\/span><span class=\"token punctuation\">,<\/span> brand_score<span class=\"token punctuation\">,<\/span> width<span class=\"token punctuation\">,<\/span> label<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#039;\u516c\u53f8\/\u54c1\u724c\u542b\u4e49&#039;<\/span><span class=\"token punctuation\">,<\/span> color<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#039;#54A0FF&#039;<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>ax<span class=\"token punctuation\">.<\/span>set_ylabel<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#039;\u8bed\u4e49\u503e\u5411\u6982\u7387&#039;<\/span><span class=\"token punctuation\">,<\/span> fontsize<span class=\"token operator\">&#061;<\/span><span class=\"token number\">12<\/span><span class=\"token punctuation\">)<\/span><br \/>\nax<span class=\"token punctuation\">.<\/span>set_title<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#039;\u201c\u82f9\u679c\u201d\u5728\u4e0d\u540c\u4e0a\u4e0b\u6587\u4e2d\u7684\u542b\u4e49\u6d88\u6b67&#039;<\/span><span class=\"token punctuation\">,<\/span> fontsize<span class=\"token operator\">&#061;<\/span><span class=\"token number\">14<\/span><span class=\"token punctuation\">)<\/span><br \/>\nax<span class=\"token punctuation\">.<\/span>set_xticks<span class=\"token punctuation\">(<\/span>x<span class=\"token punctuation\">)<\/span><br \/>\nax<span class=\"token punctuation\">.<\/span>set_xticklabels<span class=\"token punctuation\">(<\/span>contexts<span class=\"token punctuation\">,<\/span> rotation<span class=\"token operator\">&#061;<\/span><span class=\"token number\">15<\/span><span class=\"token punctuation\">,<\/span> ha<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#039;right&#039;<\/span><span class=\"token punctuation\">,<\/span> fontsize<span class=\"token operator\">&#061;<\/span><span class=\"token number\">10<\/span><span class=\"token punctuation\">)<\/span><br \/>\nax<span class=\"token punctuation\">.<\/span>legend<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\nax<span class=\"token punctuation\">.<\/span>set_ylim<span class=\"token punctuation\">(<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">1.15<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># \u5728\u67f1\u5b50\u4e0a\u6807\u6ce8\u6570\u503c<\/span><br \/>\n<span class=\"token keyword\">for<\/span> bar <span class=\"token keyword\">in<\/span> bars1 <span class=\"token operator\">&#043;<\/span> bars2<span class=\"token punctuation\">:<\/span><br \/>\n    height <span class=\"token operator\">&#061;<\/span> bar<span class=\"token punctuation\">.<\/span>get_height<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    ax<span class=\"token punctuation\">.<\/span>annotate<span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#039;<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>height<span class=\"token punctuation\">:<\/span><span class=\"token format-spec\">.2f<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#039;<\/span><\/span><span class=\"token punctuation\">,<\/span><br \/>\n                xy<span class=\"token operator\">&#061;<\/span><span class=\"token punctuation\">(<\/span>bar<span class=\"token punctuation\">.<\/span>get_x<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">&#043;<\/span> bar<span class=\"token punctuation\">.<\/span>get_width<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">\/<\/span> <span class=\"token number\">2<\/span><span class=\"token punctuation\">,<\/span> height<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span><br \/>\n                xytext<span class=\"token operator\">&#061;<\/span><span class=\"token punctuation\">(<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">3<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span><br \/>\n                textcoords<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;offset points&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n                ha<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#039;center&#039;<\/span><span class=\"token punctuation\">,<\/span> va<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#039;bottom&#039;<\/span><span class=\"token punctuation\">,<\/span> fontsize<span class=\"token operator\">&#061;<\/span><span class=\"token number\">9<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>plt<span class=\"token punctuation\">.<\/span>tight_layout<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>show<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>\u8fd0\u884c\u7ed3\u679c\u622a\u56fe&#xff1a;<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260901130309-6a96cd0dc657a.png\" alt=\"\u5b9e\u9a8c 1.2 \u201c\u82f9\u679c\u201d\u6b67\u4e49\u53ef\u89c6\u5316\u7ed3\u679c\" \/><\/p>\n<p>\u6548\u679c\u8bf4\u660e&#xff1a;<\/p>\n<p>\u8fd0\u884c\u540e\u4f1a\u51fa\u73b0\u4e00\u5f20\u67f1\u72b6\u5bf9\u6bd4\u56fe\u3002\u4f60\u4f1a\u6e05\u695a\u770b\u5230&#xff1a;\u540c\u6837\u4e24\u4e2a\u5b57\u201c\u82f9\u679c\u201d&#xff0c;\u5728\u4e0d\u540c\u53e5\u5b50\u91cc\u201c\u6c34\u679c\u542b\u4e49\u201d\u548c\u201c\u54c1\u724c\u542b\u4e49\u201d\u7684\u6982\u7387\u6b64\u6d88\u5f7c\u957f\u3002\u8fd9\u5c31\u662f Word Sense Disambiguation&#xff08;WSD&#xff0c;\u8bcd\u4e49\u6d88\u6b67&#xff09; \u8981\u89e3\u51b3\u7684\u95ee\u9898\u3002<\/p>\n<hr \/>\n<h3>1.3 \u81ea\u7136\u8bed\u8a00\u5904\u7406\u4efb\u52a1\u4f53\u7cfb<\/h3>\n<p>NLP \u4e0d\u662f\u5355\u4e00\u4efb\u52a1&#xff0c;\u800c\u662f\u4e00\u68f5\u5927\u6811\u3002\u6559\u6750\u4ece\u4e09\u4e2a\u7ef4\u5ea6\u68b3\u7406&#xff1a;\u5c42\u7ea7\u3001\u7c7b\u522b\u3001\u7814\u7a76\u5bf9\u8c61\u3002PPT \u8fdb\u4e00\u6b65\u628a\u4efb\u52a1\u5f52\u7eb3\u4e3a\u201c\u4e94\u5927\u7c7b\u522b\u201d&#xff0c;\u5e76\u7ed9\u51fa\u4e86\u201c\u5c42\u6b21 \u00d7 \u4efb\u52a1\u201d\u7684\u4e8c\u7ef4\u89c6\u89d2\u3002<\/p>\n<h4>1.3.1 \u4efb\u52a1\u5c42\u7ea7&#xff1a;\u5904\u7406\u7684\u7c92\u5ea6\u6709\u591a\u5927&#xff1f;<\/h4>\n<p>\u4efb\u52a1\u5c42\u7ea7\u56de\u7b54\u7684\u662f&#xff1a;\u5904\u7406\u7684\u7c92\u5ea6\u6709\u591a\u5927&#xff1f;<\/p>\n<table>\n<tr>\u5c42\u7ea7\u5904\u7406\u5bf9\u8c61\u5178\u578b\u4efb\u52a1\u82f1\u6587\u7f29\u5199<\/tr>\n<tbody>\n<tr>\n<td>\u5b57\u8bcd\u7ea7<\/td>\n<td>\u5355\u4e2a\u5b57\u6216\u8bcd<\/td>\n<td>\u5206\u8bcd\u3001\u8bcd\u6027\u6807\u6ce8\u3001\u547d\u540d\u5b9e\u4f53\u8bc6\u522b<\/td>\n<td>CWS&#xff08;Chinese Word Segmentation&#xff09;\u3001POS&#xff08;Part-of-Speech Tagging&#xff09;\u3001NER&#xff08;Named Entity Recognition&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>\u53e5\u5b50\u7ea7<\/td>\n<td>\u4e00\u53e5\u8bdd<\/td>\n<td>\u53e5\u6cd5\u5206\u6790\u3001\u60c5\u611f\u5206\u6790\u3001\u6587\u672c\u5206\u7c7b<\/td>\n<td>SA&#xff08;Sentiment Analysis&#xff09;\u3001TC&#xff08;Text Classification&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>\u7bc7\u7ae0\u7ea7<\/td>\n<td>\u591a\u53e5\u8bdd\/\u6587\u7ae0<\/td>\n<td>\u9605\u8bfb\u7406\u89e3\u3001\u6587\u672c\u6458\u8981\u3001\u6587\u6863\u5206\u7c7b<\/td>\n<td>RC&#xff08;Reading Comprehension&#xff09;\u3001Summarization<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h5>\u901a\u4fd7\u7406\u89e3&#xff1a;\u50cf\u8bfb\u62a5\u7eb8\u4e00\u6837\u5206\u5c42<\/h5>\n<li>\u5b57\u8bcd\u7ea7&#xff1a;\u5148\u8ba4\u5b57\u3001\u8ba4\u8bcd&#xff0c;\u77e5\u9053\u201c\u5317\u4eac\u201d\u662f\u5730\u540d&#xff0c;\u201c\u5403\u201d\u662f\u52a8\u8bcd\u3002<\/li>\n<li>\u53e5\u5b50\u7ea7&#xff1a;\u5206\u6790\u4e00\u53e5\u8bdd\u7684\u7ed3\u6784\u548c\u60c5\u611f&#xff0c;\u6bd4\u5982\u201c\u8fd9\u5bb6\u5e97\u4e0d\u9519\u201d\u662f\u6b63\u9762\u8bc4\u4ef7\u3002<\/li>\n<li>\u7bc7\u7ae0\u7ea7&#xff1a;\u628a\u6574\u7bc7\u6587\u7ae0\u8bfb\u5b8c&#xff0c;\u80fd\u56de\u7b54\u201c\u8fd9\u7bc7\u6587\u7ae0\u4e3b\u8981\u8bb2\u4e86\u4ec0\u4e48&#xff1f;\u201d<\/li>\n<h4>1.3.2 \u4efb\u52a1\u7c7b\u522b&#xff1a;\u4efb\u52a1\u8981\u5e72\u4ec0\u4e48&#xff1f;<\/h4>\n<p>PPT \u628a NLP \u4efb\u52a1\u5206\u4e3a\u4e94\u5927\u7c7b&#xff0c;\u5f62\u6210\u4e00\u4e2a\u66f4\u5b8c\u6574\u7684\u4efb\u52a1\u8c31\u7cfb&#xff1a;<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260901130310-6a96cd0e25f22.jpg\" alt=\"NLP \u4efb\u52a1\u4e94\u5927\u7c7b\u522b\u5361\u901a\u56fe\uff1a\u56de\u5f52\u3001\u5206\u7c7b\u3001\u5339\u914d\u3001\u89e3\u6790\u3001\u751f\u6210\u4e94\u5927\u4efb\u52a1\u4ee5\u8da3\u5473\u573a\u666f\u5448\u73b0\" \/><\/p>\n<p>\u56fe 3&#xff1a;NLP \u4efb\u52a1\u7684\u4e94\u5927\u7c7b\u522b\u53ca\u5176\u5178\u578b\u4efb\u52a1\u3002<\/p>\n<table>\n<tr>\u7c7b\u522b\u6838\u5fc3\u4f5c\u7528\u5178\u578b\u4efb\u52a1<\/tr>\n<tbody>\n<tr>\n<td>\u56de\u5f52\u95ee\u9898&#xff08;Regression&#xff09;<\/td>\n<td>\u628a\u6587\u672c\u6620\u5c04\u4e3a\u8fde\u7eed\u6570\u503c<\/td>\n<td>\u4f5c\u6587\u6253\u5206\u3001\u5211\u671f\u9884\u6d4b\u3001\u7f5a\u6b3e\u91d1\u989d\u9884\u6d4b<\/td>\n<\/tr>\n<tr>\n<td>\u5206\u7c7b\u95ee\u9898&#xff08;Classification&#xff09;<\/td>\n<td>\u7ed9\u6587\u672c\u8d34\u4e00\u4e2a\u7c7b\u522b\u6807\u7b7e<\/td>\n<td>\u5783\u573e\u90ae\u4ef6\u8bc6\u522b\u3001\u60c5\u611f\u5206\u7c7b\u3001\u4e3b\u9898\u5206\u7c7b<\/td>\n<\/tr>\n<tr>\n<td>\u5339\u914d\u95ee\u9898&#xff08;Matching&#xff09;<\/td>\n<td>\u5224\u65ad\u4e24\u6bb5\u6587\u672c\u4e4b\u95f4\u7684\u5173\u7cfb<\/td>\n<td>\u6587\u672c\u76f8\u4f3c\u5ea6\u3001\u95ee\u7b54\u5339\u914d\u3001\u8bed\u4e49\u8574\u542b<\/td>\n<\/tr>\n<tr>\n<td>\u89e3\u6790\u95ee\u9898&#xff08;Parsing&#xff09;<\/td>\n<td>\u6807\u6ce8\u8bcd\u8bed\u6216\u8bc6\u522b\u8bcd\u8bed\u95f4\u5173\u7cfb<\/td>\n<td>\u5206\u8bcd\u3001\u8bcd\u6027\u6807\u6ce8\u3001NER\u3001\u53e5\u6cd5\u5206\u6790\u3001\u8bed\u4e49\u89d2\u8272\u6807\u6ce8<\/td>\n<\/tr>\n<tr>\n<td>\u751f\u6210\u95ee\u9898&#xff08;Generation&#xff09;<\/td>\n<td>\u6839\u636e\u8f93\u5165\u751f\u6210\u4e00\u6bb5\u81ea\u7136\u8bed\u8a00<\/td>\n<td>\u673a\u5668\u7ffb\u8bd1\u3001\u6587\u672c\u6458\u8981\u3001\u5bf9\u8bdd\u751f\u6210\u3001\u56fe\u50cf\u63cf\u8ff0\u751f\u6210<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&#x1f3af; \u8bb0\u5fc6\u53e3\u8bc0&#xff1a;\u201c\u56de\u5f52\u5206\u7c7b\u5339\u914d\u89e3\u6790\u751f\u6210\u201d\u2014\u2014\u6309\u4efb\u52a1\u8f93\u51fa\u5f62\u5f0f\u4ece\u7b80\u5355\u5230\u590d\u6742\u6392\u5217\u3002<\/p>\n<p>\u4e0b\u9762\u628a\u6bcf\u7c7b\u91cc\u7684\u5173\u952e\u4efb\u52a1\u5c55\u5f00\u8bb2\u4e00\u4e0b&#xff1a;<\/p>\n<h5>\u2460 \u5206\u7c7b\u95ee\u9898&#xff08;Classification&#xff09;<\/h5>\n<p>\u6587\u672c\u5206\u7c7b\u662f\u6700\u5e38\u89c1\u7684 NLP \u4efb\u52a1\u4e4b\u4e00\u3002\u8f93\u5165\u4e00\u6bb5\u6587\u672c&#xff0c;\u8f93\u51fa\u4e00\u4e2a\u7c7b\u522b\u6807\u7b7e\u3002<\/p>\n<ul>\n<li>\n<p>\u60c5\u611f\u5206\u7c7b&#xff1a;\u5224\u65ad\u8bc4\u8bba\u662f\u8912\u4e49\u3001\u8d2c\u4e49\u8fd8\u662f\u4e2d\u6027\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260901130311-6a96cd0f1c911.jpg\" alt=\"\u60c5\u611f\u5206\u7c7b\u5361\u901a\u56fe\uff1a\u7ed9\u8bc4\u8bba\u8d34\u4e0a\u7b11\u8138\u6216\u54ed\u8138\u6807\u7b7e\uff0c\u5224\u65ad\u6b63\u9762\/\u8d1f\u9762\/\u4e2d\u6027\" \/><\/p>\n<p>\u56fe 3-7&#xff1a;\u60c5\u611f\u5206\u7c7b\u2014\u2014\u7ed9\u6587\u672c\u8d34\u4e0a\u201c\u6b63\u9762 \/ \u8d1f\u9762 \/ \u4e2d\u6027\u201d\u7684\u60c5\u7eea\u6807\u7b7e\u3002<\/p>\n<\/li>\n<li>\n<p>\u4e3b\u9898\u5206\u7c7b&#xff1a;\u5224\u65ad\u65b0\u95fb\u5c5e\u4e8e\u4f53\u80b2\u3001\u8d22\u7ecf\u3001\u79d1\u6280\u8fd8\u662f\u5a31\u4e50\u3002<\/p>\n<\/li>\n<li>\n<p>\u5783\u573e\u90ae\u4ef6\u8fc7\u6ee4&#xff1a;\u5224\u65ad\u90ae\u4ef6\u662f\u6b63\u5e38\u90ae\u4ef6\u8fd8\u662f\u5783\u573e\u90ae\u4ef6\u3002<\/p>\n<\/li>\n<li>\n<p>\u95ee\u9898\u7c7b\u578b\u5206\u7c7b&#xff1a;\u5224\u65ad\u7528\u6237\u95ee\u7684\u662f\u201c\u65f6\u95f4\u201d\u201c\u5730\u70b9\u201d\u8fd8\u662f\u201c\u539f\u56e0\u201d\u3002<\/p>\n<\/li>\n<\/ul>\n<h5>\u2461 \u5339\u914d\u95ee\u9898&#xff08;Matching&#xff09;<\/h5>\n<p>\u5224\u65ad\u4e24\u4e2a\u6587\u672c\u4e4b\u95f4\u7684\u5173\u7cfb\u6216\u76f8\u4f3c\u5ea6\u3002<\/p>\n<ul>\n<li>\n<p>\u6587\u672c\u76f8\u4f3c\u5ea6\u8bc4\u4f30&#xff1a;\u8ba1\u7b97\u4e24\u53e5\u8bdd\u6709\u591a\u50cf&#xff08;0~1 \u4e4b\u95f4&#xff09;\u3002<\/p>\n<\/li>\n<li>\n<p>\u95ee\u9898-\u56de\u7b54\u5339\u914d&#xff1a;\u5224\u65ad\u4e00\u4e2a\u7b54\u6848\u662f\u5426\u80fd\u56de\u7b54\u7ed9\u5b9a\u95ee\u9898\u3002<\/p>\n<\/li>\n<li>\n<p>\u8bed\u4e49\u8574\u542b&#xff1a;\u5224\u65ad\u524d\u63d0\u548c\u5047\u8bbe\u4e4b\u95f4\u662f\u201c\u8574\u542b\u201d\u201c\u77db\u76fe\u201d\u8fd8\u662f\u201c\u65e0\u5173\u201d\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260901130312-6a96cd1012f58.jpg\" alt=\"\u6587\u672c\u5339\u914d\u5361\u901a\u56fe\uff1a\u4e24\u6bb5\u6587\u5b57\u9762\u5bf9\u9762\u6bd4\u8f83\u76f8\u4f3c\u5ea6\uff0c\u5224\u65ad\u662f\u5426\u201c\u8574\u542b\/\u77db\u76fe\/\u65e0\u5173\u201d\" \/><\/p>\n<p>\u56fe 3-8&#xff1a;\u6587\u672c\u5339\u914d\u2014\u2014\u6bd4\u8f83\u4e24\u6bb5\u6587\u5b57\u7684\u5173\u7cfb\u6216\u76f8\u4f3c\u5ea6\u3002<\/p>\n<\/li>\n<\/ul>\n<h5>\u2462 \u89e3\u6790\u95ee\u9898&#xff08;Parsing&#xff09;<\/h5>\n<p>\u5bf9\u6587\u672c\u8fdb\u884c\u7ed3\u6784\u5316\u5206\u6790&#xff0c;\u662f NLP \u7684\u201c\u8bed\u6cd5\u8bfe\u201d\u3002<\/p>\n<ul>\n<li>\n<p>\u4e2d\u6587\u5206\u8bcd&#xff08;CWS, Chinese Word Segmentation&#xff09;&#xff1a;\u628a\u6c49\u5b57\u5e8f\u5217\u5207\u6210\u8bcd\u5e8f\u5217\u3002\u4f8b\u5982\u201c\u81ea\u7136\u8bed\u8a00\u5904\u7406\u201d \u2192 \u201c\u81ea\u7136\u8bed\u8a00 \/ \u5904\u7406\u201d\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260901130313-6a96cd110c2fa.jpg\" alt=\"\u4e2d\u6587\u5206\u8bcd\u5361\u901a\u56fe\uff1a\u50cf\u5207\u6c34\u679c\u4e00\u6837\u628a\u8fde\u7eed\u6c49\u5b57\u5e8f\u5217\u5207\u6210\u4e00\u4e2a\u4e2a\u8bcd\u5757\" \/><\/p>\n<p>\u56fe 3-1&#xff1a;\u4e2d\u6587\u5206\u8bcd\u2014\u2014\u628a\u8fde\u7eed\u6c49\u5b57\u201c\u5207\u201d\u6210\u6709\u610f\u4e49\u7684\u8bcd\u5757\u3002<\/p>\n<\/li>\n<li>\n<p>\u8bcd\u6027\u6807\u6ce8&#xff08;POS, Part-of-Speech Tagging&#xff09;&#xff1a;\u7ed9\u6bcf\u4e2a\u8bcd\u6807\u6ce8\u8bcd\u6027&#xff0c;\u5982\u540d\u8bcd\u3001\u52a8\u8bcd\u3001\u5f62\u5bb9\u8bcd\u3002\u82f1\u6587\u5e38\u7528 Penn Treebank \u6807\u7b7e&#xff0c;\u5982 NNP&#xff08;\u4e13\u6709\u540d\u8bcd&#xff09;\u3001VBD&#xff08;\u8fc7\u53bb\u65f6\u52a8\u8bcd&#xff09;\u3001IN&#xff08;\u4ecb\u8bcd&#xff09;\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260901130314-6a96cd12031c3.jpg\" alt=\"\u8bcd\u6027\u6807\u6ce8\u5361\u901a\u56fe\uff1a\u7ed9\u53e5\u5b50\u91cc\u7684\u6bcf\u4e2a\u8bcd\u8d34\u4e0a\u201c\u540d\u8bcd\/\u52a8\u8bcd\/\u5f62\u5bb9\u8bcd\u201d\u5c0f\u6807\u7b7e\" \/><\/p>\n<p>\u56fe 3-2&#xff1a;\u8bcd\u6027\u6807\u6ce8\u2014\u2014\u7ed9\u6bcf\u4e2a\u8bcd\u8d34\u4e0a\u8bcd\u6027\u5c0f\u6807\u7b7e\u3002<\/p>\n<\/li>\n<li>\n<p>\u547d\u540d\u5b9e\u4f53\u8bc6\u522b&#xff08;NER, Named Entity Recognition&#xff09;&#xff1a;\u8bc6\u522b\u6587\u672c\u4e2d\u7684\u4eba\u540d\u3001\u5730\u540d\u3001\u673a\u6784\u540d\u7b49\u5b9e\u4f53\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260901130314-6a96cd12eda35.jpg\" alt=\"\u547d\u540d\u5b9e\u4f53\u8bc6\u522b\u5361\u901a\u56fe\uff1a\u4ece\u53e5\u5b50\u4e2d\u627e\u51fa\u201c\u4eba\u540d\u3001\u5730\u540d\u3001\u673a\u6784\u540d\u201d\u7b49\u9ad8\u4eae\u5b9e\u4f53\" \/><\/p>\n<p>\u56fe 3-3&#xff1a;\u547d\u540d\u5b9e\u4f53\u8bc6\u522b\u2014\u2014\u5728\u6587\u672c\u4e2d\u5708\u51fa\u4eba\u540d\u3001\u5730\u540d\u3001\u673a\u6784\u540d\u7b49\u5b9e\u4f53\u3002<\/p>\n<\/li>\n<li>\n<p>\u4f9d\u5b58\u53e5\u6cd5\u5206\u6790&#xff08;DP, Dependency Parsing&#xff09;&#xff1a;\u5206\u6790\u53e5\u5b50\u6210\u5206\u4e4b\u95f4\u7684\u4f9d\u5b58\u5173\u7cfb&#xff0c;\u6bd4\u5982\u4e3b\u8c13\u5bbe\u3001\u5b9a\u72b6\u8865\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260901130315-6a96cd13ec8b9.jpg\" alt=\"\u4f9d\u5b58\u53e5\u6cd5\u5206\u6790\u5361\u901a\u56fe\uff1a\u7528\u7bad\u5934\u628a\u53e5\u5b50\u6210\u5206\u8fde\u6210\u4e3b\u8c13\u5bbe\u5b9a\u72b6\u8865\u7684\u5173\u7cfb\u7f51\" \/><\/p>\n<p>\u56fe 3-4&#xff1a;\u4f9d\u5b58\u53e5\u6cd5\u5206\u6790\u2014\u2014\u753b\u51fa\u8bcd\u8bed\u4e4b\u95f4\u7684\u201c\u4e3b\u8c13\u5bbe\u201d\u5173\u7cfb\u7f51\u3002<\/p>\n<\/li>\n<li>\n<p>\u8bed\u4e49\u89d2\u8272\u6807\u6ce8&#xff08;SRL, Semantic Role Labeling&#xff09;&#xff1a;\u6807\u6ce8\u8c13\u8bcd\u7684\u8bba\u5143&#xff0c;\u5982\u65bd\u4e8b\u3001\u53d7\u4e8b\u3001\u65f6\u95f4\u3001\u5730\u70b9\u3002<\/p>\n<p><img decoding=\"async\" src=\"2026-09-01b0dj0jc3jmo.jpg\" alt=\"\u8bed\u4e49\u89d2\u8272\u6807\u6ce8\u5361\u901a\u56fe\uff1a\u6807\u6ce8\u201c\u8c01\u5bf9\u8c01\u505a\u4e86\u4ec0\u4e48\u3001\u5728\u54ea\u91cc\u3001\u4ec0\u4e48\u65f6\u5019\u201d\" \/><\/p>\n<p>\u56fe 3-5&#xff1a;\u8bed\u4e49\u89d2\u8272\u6807\u6ce8\u2014\u2014\u641e\u6e05\u695a\u201c\u8c01\u505a\u4e86\u4ec0\u4e48\u3001\u5bf9\u8c01\u3001\u5728\u54ea\u91cc\u3001\u4ec0\u4e48\u65f6\u5019\u201d\u3002<\/p>\n<\/li>\n<li>\n<p>\u5171\u6307\u6d88\u89e3&#xff08;Coreference Resolution&#xff09;&#xff1a;\u8bc6\u522b\u6587\u672c\u4e2d\u4e0d\u540c mentions \u662f\u5426\u6307\u4ee3\u540c\u4e00\u5b9e\u4f53\u3002\u4f8b\u5982\u201c\u5f20\u4e09\u6253\u4e86\u674e\u56db&#xff0c;\u7136\u540e\u4ed6\u5012\u4e86\u201d\u4e2d\u7684\u201c\u4ed6\u201d\u5230\u5e95\u6307\u8c01\u3002<\/p>\n<p><img decoding=\"async\" src=\"2026-09-01j4nv2tpmqbu.jpg\" alt=\"\u5171\u6307\u6d88\u89e3\u5361\u901a\u56fe\uff1a\u7528\u7ebf\u7d22\u628a\u201c\u4ed6\/\u5979\/\u5b83\u201d\u548c\u771f\u6b63\u6307\u4ee3\u7684\u4eba\u6216\u7269\u8fde\u8d77\u6765\" \/><\/p>\n<p>\u56fe 3-6&#xff1a;\u5171\u6307\u6d88\u89e3\u2014\u2014\u628a\u201c\u4ed6\/\u5979\/\u5b83\u201d\u548c\u771f\u6b63\u6307\u4ee3\u7684\u5bf9\u8c61\u8fde\u4e0a\u7ebf\u3002<\/p>\n<\/li>\n<\/ul>\n<h5>\u2463 \u751f\u6210\u95ee\u9898&#xff08;Generation&#xff09;<\/h5>\n<p>\u6839\u636e\u8f93\u5165\u751f\u6210\u81ea\u7136\u8bed\u8a00\u6587\u672c\u3002<\/p>\n<ul>\n<li>\n<p>\u673a\u5668\u7ffb\u8bd1&#xff08;MT, Machine Translation&#xff09;&#xff1a;\u628a\u4e00\u79cd\u8bed\u8a00\u7ffb\u8bd1\u6210\u53e6\u4e00\u79cd\u8bed\u8a00\u3002<\/p>\n<p><img decoding=\"async\" src=\"2026-09-0135vaa44qj2m.jpg\" alt=\"\u673a\u5668\u7ffb\u8bd1\u5361\u901a\u56fe\uff1a\u4e00\u53e5\u8bdd\u4ece\u4e2d\u6587\u201c\u8fc7\u6865\u201d\u53d8\u6210\u82f1\u6587\u3001\u65e5\u6587\u7b49\u591a\u79cd\u8bed\u8a00\" \/><\/p>\n<p>\u56fe 3-9&#xff1a;\u673a\u5668\u7ffb\u8bd1\u2014\u2014\u628a\u4e00\u79cd\u8bed\u8a00\u201c\u53d8\u201d\u6210\u53e6\u4e00\u79cd\u8bed\u8a00\u3002<\/p>\n<\/li>\n<li>\n<p>\u6587\u672c\u6458\u8981&#xff1a;\u628a\u957f\u6587\u7ae0\u538b\u7f29\u6210\u77ed\u6458\u8981\u3002<\/p>\n<\/li>\n<li>\n<p>\u95ee\u7b54\u7cfb\u7edf&#xff08;QA, Question Answering&#xff09;&#xff1a;\u6839\u636e\u95ee\u9898\u751f\u6210\u6216\u62bd\u53d6\u7b54\u6848\u3002<\/p>\n<p><img decoding=\"async\" src=\"2026-09-01i10c2ehlkq4.jpg\" alt=\"\u95ee\u7b54\u7cfb\u7edf\u5361\u901a\u56fe\uff1a\u7528\u6237\u63d0\u95ee\u540e\uff0c\u673a\u5668\u4ece\u77e5\u8bc6\u5e93\u6216\u6587\u7ae0\u4e2d\u627e\u51fa\u7b54\u6848\u5e76\u9ad8\u4eae\u5c55\u793a\" \/><\/p>\n<p>\u56fe 3-10&#xff1a;\u95ee\u7b54\u7cfb\u7edf\u2014\u2014\u7528\u6237\u63d0\u95ee&#xff0c;\u673a\u5668\u4ece\u6587\u672c\u4e2d\u201c\u635e\u51fa\u201d\u7b54\u6848\u3002<\/p>\n<\/li>\n<li>\n<p>\u5bf9\u8bdd\u7cfb\u7edf&#xff08;Dialogue System&#xff09;&#xff1a;\u591a\u8f6e\u5bf9\u8bdd&#xff0c;\u50cf\u667a\u80fd\u5ba2\u670d\u3001ChatGPT\u3002<\/p>\n<p><img decoding=\"async\" src=\"2026-09-01hvocmwfvzoq.jpg\" alt=\"\u5bf9\u8bdd\u7cfb\u7edf\u5361\u901a\u56fe\uff1a\u7528\u6237\u548c\u673a\u5668\u4eba\u5728\u804a\u5929\u7a97\u53e3\u91cc\u4f60\u6765\u6211\u5f80\u8fdb\u884c\u591a\u8f6e\u5bf9\u8bdd\" \/><\/p>\n<p>\u56fe 3-11&#xff1a;\u5bf9\u8bdd\u7cfb\u7edf\u2014\u2014\u4eba\u548c\u673a\u5668\u591a\u8f6e\u201c\u804a\u5929\u201d&#xff0c;\u50cf\u667a\u80fd\u5ba2\u670d\u4e00\u6837\u3002<\/p>\n<\/li>\n<li>\n<p>\u56fe\u50cf\u63cf\u8ff0\u751f\u6210&#xff1a;\u6839\u636e\u56fe\u7247\u751f\u6210\u6587\u5b57\u8bf4\u660e\u3002<\/p>\n<\/li>\n<\/ul>\n<h5>\u2464 \u56de\u5f52\u95ee\u9898&#xff08;Regression&#xff09;<\/h5>\n<p>\u8f93\u51fa\u662f\u4e00\u4e2a\u8fde\u7eed\u6570\u503c&#xff0c;\u800c\u4e0d\u662f\u79bb\u6563\u7c7b\u522b\u3002<\/p>\n<ul>\n<li>\n<p>\u4f5c\u6587\u6253\u5206&#xff1a;\u9884\u6d4b\u4f5c\u6587\u5f97\u5206\u3002<\/p>\n<\/li>\n<li>\n<p>\u5211\u671f\/\u7f5a\u6b3e\u9884\u6d4b&#xff1a;\u6839\u636e\u6848\u60c5\u63cf\u8ff0\u9884\u6d4b\u5224\u51b3\u7ed3\u679c\u3002<\/p>\n<\/li>\n<li>\n<p>\u80a1\u4ef7\u9884\u6d4b&#xff1a;\u6839\u636e\u8d22\u7ecf\u65b0\u95fb\u9884\u6d4b\u80a1\u4ef7\u8d70\u52bf&#xff08;\u867d\u7136\u5f88\u96be&#xff09;\u3002<\/p>\n<\/li>\n<\/ul>\n<h4>1.3.3 \u5c42\u6b21 \u00d7 \u4efb\u52a1 \u4e8c\u7ef4\u8868<\/h4>\n<p>\u628a\u201c\u5c42\u7ea7\u201d\u548c\u201c\u4efb\u52a1\u7c7b\u522b\u201d\u4ea4\u53c9\u8d77\u6765&#xff0c;\u5c31\u5f97\u5230\u4e86\u6559\u6750\u548c PPT \u4e2d\u53cd\u590d\u5f3a\u8c03\u7684\u201c\u5c42\u6b21 \u00d7 \u4efb\u52a1\u201d\u4e8c\u7ef4\u8868&#xff1a;<\/p>\n<p><img decoding=\"async\" src=\"2026-09-014k0u4q1nfly.jpg\" alt=\"NLP \u5c42\u6b21\u00d7\u4efb\u52a1\u4e8c\u7ef4\u8868\u5361\u901a\u56fe\uff1a\u5b57\u8bcd\u7ea7\/\u53e5\u5b50\u7ea7\/\u7bc7\u7ae0\u7ea7\u4e0e\u56de\u5f52\/\u5206\u7c7b\/\u5339\u914d\/\u89e3\u6790\/\u751f\u6210\u4ea4\u53c9\u7ec4\u5408\" \/><\/p>\n<p>\u56fe 4&#xff1a;\u540c\u4e00\u4efb\u52a1\u5728\u4e0d\u540c\u5c42\u7ea7\u4e0a\u6709\u4e0d\u540c\u8868\u73b0&#xff1b;\u540c\u4e00\u5c42\u7ea7\u4e5f\u53ef\u505a\u591a\u79cd\u4efb\u52a1\u3002<\/p>\n<table>\n<tr>\u5c42\u7ea7\u5206\u7c7b\u5339\u914d\u89e3\u6790\u751f\u6210\u56de\u5f52<\/tr>\n<tbody>\n<tr>\n<td>\u5b57\u8bcd\u7ea7<\/td>\n<td>\u8bcd\u6027\u6807\u6ce8\u3001NER<\/td>\n<td>\u8bcd\u8bed\u76f8\u4f3c\u5ea6<\/td>\n<td>\u5206\u8bcd\u3001\u8bcd\u6027\u6807\u6ce8<\/td>\n<td>\u6587\u672c\u7ea0\u9519<\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>\u53e5\u5b50\u7ea7<\/td>\n<td>\u60c5\u611f\u5206\u6790<\/td>\n<td>\u53e5\u5b50\u76f8\u4f3c\u5ea6<\/td>\n<td>\u53e5\u6cd5\u5206\u6790\u3001SRL<\/td>\n<td>\u673a\u5668\u7ffb\u8bd1\u3001\u6458\u8981<\/td>\n<td>\u53e5\u5b50\u6253\u5206<\/td>\n<\/tr>\n<tr>\n<td>\u7bc7\u7ae0\u7ea7<\/td>\n<td>\u6587\u6863\u5206\u7c7b<\/td>\n<td>\u6587\u6863\u76f8\u4f3c\u5ea6<\/td>\n<td>\u7bc7\u7ae0\u7ed3\u6784\u5206\u6790<\/td>\n<td>\u591a\u6587\u6863\u6458\u8981<\/td>\n<td>\u2014<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&#x1f4a1; \u8fd9\u4e2a\u4e8c\u7ef4\u8868\u7684\u610f\u4e49&#xff1a;\u5b83\u544a\u8bc9\u6211\u4eec NLP \u4efb\u52a1\u4e0d\u662f\u6742\u4e71\u65e0\u7ae0\u7684&#xff0c;\u800c\u662f\u53ef\u4ee5\u4ece\u201c\u5904\u7406\u7c92\u5ea6\u201d\u548c\u201c\u4efb\u52a1\u76ee\u6807\u201d\u4e24\u4e2a\u7ef4\u5ea6\u7cfb\u7edf\u68b3\u7406\u3002<\/p>\n<h4>1.3.4 \u7814\u7a76\u5bf9\u8c61\u4e0e\u5c42\u6b21<\/h4>\n<p>\u4ece\u7814\u7a76\u5bf9\u8c61\u770b&#xff0c;NLP \u53c8\u5206\u4e3a\u51e0\u4e2a\u5c42\u6b21&#xff1a;<\/p>\n<table>\n<tr>\u5c42\u6b21\u7814\u7a76\u5185\u5bb9\u5173\u952e\u8bcd<\/tr>\n<tbody>\n<tr>\n<td>\u5f62\u5f0f&#xff08;Form&#xff09;<\/td>\n<td>\u6587\u672c\u7684\u5b57\u9762\u5f62\u6001<\/td>\n<td>\u5b57\u7b26\u3001\u8bcd\u3001\u53e5\u6cd5\u7ed3\u6784<\/td>\n<\/tr>\n<tr>\n<td>\u610f\u4e49&#xff08;Meaning&#xff09;<\/td>\n<td>\u6587\u672c\u8868\u8fbe\u7684\u610f\u601d<\/td>\n<td>\u8bed\u4e49\u3001\u903b\u8f91\u3001\u77e5\u8bc6<\/td>\n<\/tr>\n<tr>\n<td>\u8bed\u5883\/\u8bed\u7528&#xff08;Context\/Pragmatics&#xff09;<\/td>\n<td>\u8c01\u5728\u4ec0\u4e48\u573a\u666f\u4e0b\u8bf4\u7684<\/td>\n<td>\u6307\u4ee3\u6d88\u89e3\u3001\u5bf9\u8bdd\u72b6\u6001\u3001\u80cc\u666f\u77e5\u8bc6<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><img decoding=\"async\" src=\"2026-09-01brqm0e4wj2i.jpg\" alt=\"NLP \u7814\u7a76\u5bf9\u8c61\u5c42\u6b21\u5361\u901a\u56fe\uff1a\u4ece\u6587\u5b57\u5f62\u5f0f\u5230\u8bed\u4e49\u7406\u89e3\uff0c\u518d\u5230\u771f\u5b9e\u8bed\u5883\u7684\u4e09\u5c42\u9636\u68af\" \/><\/p>\n<p>\u56fe 5&#xff1a;NLP \u7814\u7a76\u5bf9\u8c61\u2014\u2014\u4ece\u8bed\u97f3\u6587\u5b57\u5f62\u5f0f&#xff0c;\u5230\u8bed\u4e49&#xff0c;\u518d\u5230\u8bed\u7528\u8bed\u5883\u3002<\/p>\n<p>&#x1f330; \u751f\u6d3b\u5316\u7c7b\u6bd4&#xff1a;<\/p>\n<ul>\n<li>\n<p>\u5f62\u5f0f\u5c42&#xff1a;\u542c\u5230\u4e00\u53e5\u8bdd\u201c\u4f60\u5403\u4e86\u5417&#xff1f;\u201d\u2014\u2014\u5148\u8bc6\u522b\u51fa\u8fd9\u51e0\u4e2a\u5b57\u3002<\/p>\n<\/li>\n<li>\n<p>\u8bed\u4e49\u5c42&#xff1a;\u7406\u89e3\u5b57\u9762\u610f\u601d\u662f\u8be2\u95ee\u662f\u5426\u5403\u996d\u3002<\/p>\n<\/li>\n<li>\n<p>\u8bed\u7528\u5c42&#xff1a;\u77e5\u9053\u5728\u4e2d\u56fd\u8fd9\u53ef\u80fd\u662f\u6253\u62db\u547c&#xff0c;\u4e0d\u4e00\u5b9a\u771f\u95ee\u4f60\u5403\u6ca1\u5403\u3002<\/p>\n<\/li>\n<\/ul>\n<h4>1.3.5 \u8bed\u8a00\u5b66\u77e5\u8bc6\u5e93\u4e0e\u8bed\u6599\u5e93<\/h4>\n<p>NLP \u7684\u53d1\u5c55\u79bb\u4e0d\u5f00\u4e24\u7c7b\u57fa\u7840\u8d44\u6e90&#xff1a;<\/p>\n<h5>\u2460 \u8bed\u8a00\u5b66\u77e5\u8bc6\u5e93<\/h5>\n<p>\u5305\u62ec\u8bcd\u5178\u3001\u89c4\u5219\u5e93\u7b49\u3002\u8bcd\u5178\u4e0d\u4ec5\u63d0\u4f9b\u8bcd\u8bed\u7684\u8bfb\u97f3\u3001\u8bcd\u6027\u3001\u8bed\u4e49\u89e3\u91ca&#xff0c;\u8fd8\u63d0\u4f9b\u8bcd\u8bed\u4e4b\u95f4\u7684\u5173\u7cfb\u4fe1\u606f&#xff0c;\u5982&#xff1a;<\/p>\n<ul>\n<li>\n<p>\u4e0a\u4e0b\u4f4d\u5173\u7cfb&#xff1a;\u72d7 \u2192 \u54fa\u4e73\u52a8\u7269 \u2192 \u52a8\u7269<\/p>\n<\/li>\n<li>\n<p>\u540c\u4e49\u53cd\u4e49\u5173\u7cfb&#xff1a;\u9ad8\u5174 \u2194 \u5feb\u4e50&#xff0c;\u9ad8 \u2194 \u4f4e<\/p>\n<\/li>\n<\/ul>\n<h5>\u2461 \u8bed\u6599\u5e93\u8d44\u6e90<\/h5>\n<p>\u6307\u9762\u5411\u67d0\u4e00 NLP \u4efb\u52a1\u6240\u6807\u6ce8\u7684\u6570\u636e\u96c6\u3002\u4f8b\u5982&#xff1a;<\/p>\n<ul>\n<li>\n<p>\u5206\u8bcd\u8bed\u6599\u5e93&#xff08;\u6807\u6ce8\u4e86\u8bcd\u8fb9\u754c&#xff09;<\/p>\n<\/li>\n<li>\n<p>\u60c5\u611f\u5206\u6790\u8bed\u6599\u5e93&#xff08;\u6807\u6ce8\u4e86\u60c5\u611f\u6807\u7b7e&#xff09;<\/p>\n<\/li>\n<li>\n<p>\u547d\u540d\u5b9e\u4f53\u8bc6\u522b\u8bed\u6599\u5e93&#xff08;\u6807\u6ce8\u4e86\u5b9e\u4f53\u7c7b\u578b&#xff09;<\/p>\n<\/li>\n<\/ul>\n<p>&#x1f4a1; \u5173\u7cfb&#xff1a;\u77e5\u8bc6\u5e93\u662f\u201c\u4eba\u5de5\u6574\u7406\u7684\u8bed\u8a00\u77e5\u8bc6\u201d&#xff0c;\u8bed\u6599\u5e93\u662f\u201c\u771f\u5b9e\u6587\u672c&#043;\u4eba\u5de5\u6807\u6ce8\u201d\u3002\u7edf\u8ba1\u65b9\u6cd5\u548c\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\u90fd\u9700\u8981\u5927\u91cf\u8bed\u6599\u5e93\u6765\u8bad\u7ec3\u6a21\u578b\u3002<\/p>\n<h4>1.3.6 \u52a8\u624b\u5b9e\u9a8c&#xff1a;\u642d\u5efa\u4e00\u6761\u5b8c\u6574\u7684 NLP \u6d41\u6c34\u7ebf<\/h4>\n<p>\u4e0b\u9762\u8fd9\u4e2a\u5b9e\u9a8c\u628a\u5206\u8bcd\u3001\u8bcd\u6027\u6807\u6ce8\u3001\u547d\u540d\u5b9e\u4f53\u8bc6\u522b\u3001\u60c5\u611f\u5206\u6790\u3001\u6587\u672c\u5206\u7c7b\u4e32\u8d77\u6765&#xff0c;\u8ba9\u4f60\u4f53\u9a8c NLP \u7684\u201c\u5168\u6d41\u7a0b\u201d\u3002<\/p>\n<p><span class=\"token triple-quoted-string string\">&#034;&#034;&#034;<br \/>\n\u5b9e\u9a8c 1.3&#xff1a;NLP \u4efb\u52a1\u6d41\u6c34\u7ebf\u4f53\u9a8c<br \/>\n\u76ee\u6807&#xff1a;\u4e00\u6b21\u6027\u4f53\u9a8c\u5206\u8bcd\u3001NER\u3001\u60c5\u611f\u5206\u6790\u3001\u6587\u672c\u5206\u7c7b<br \/>\n\u4f9d\u8d56&#xff1a;jieba, snownlp, sklearn, matplotlib<br \/>\n\u5b89\u88c5&#xff1a;pip install jieba snownlp scikit-learn matplotlib<br \/>\n&#034;&#034;&#034;<\/span><\/p>\n<p><span class=\"token keyword\">import<\/span> jieba<br \/>\n<span class=\"token keyword\">import<\/span> jieba<span class=\"token punctuation\">.<\/span>posseg <span class=\"token keyword\">as<\/span> pseg<br \/>\n<span class=\"token keyword\">from<\/span> snownlp <span class=\"token keyword\">import<\/span> SnowNLP<br \/>\n<span class=\"token keyword\">from<\/span> sklearn<span class=\"token punctuation\">.<\/span>feature_extraction<span class=\"token punctuation\">.<\/span>text <span class=\"token keyword\">import<\/span> TfidfVectorizer<br \/>\n<span class=\"token keyword\">from<\/span> sklearn<span class=\"token punctuation\">.<\/span>naive_bayes <span class=\"token keyword\">import<\/span> MultinomialNB<br \/>\n<span class=\"token keyword\">import<\/span> matplotlib<span class=\"token punctuation\">.<\/span>pyplot <span class=\"token keyword\">as<\/span> plt<br \/>\n<span class=\"token keyword\">import<\/span> numpy <span class=\"token keyword\">as<\/span> np<\/p>\n<p><span class=\"token comment\"># Mac \u4e2d\u6587\u5b57\u4f53\u914d\u7f6e<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>rcParams<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;font.sans-serif&#039;<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;Arial Unicode MS&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;DejaVu Sans&#039;<\/span><span class=\"token punctuation\">]<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>rcParams<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;axes.unicode_minus&#039;<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token operator\">&#061;<\/span> <span class=\"token boolean\">False<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>rcParams<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;font.family&#039;<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#039;Arial Unicode MS&#039;<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>rcParams<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;axes.facecolor&#039;<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#039;white&#039;<\/span><\/p>\n<p><span class=\"token comment\"># \u63d0\u524d\u52a0\u8f7d\u4e00\u4e9b\u5e38\u7528\u8bcd&#xff0c;\u63d0\u5347\u5206\u8bcd\u548c\u8bcd\u6027\u6807\u6ce8\u6548\u679c<\/span><br \/>\njieba<span class=\"token punctuation\">.<\/span>add_word<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;\u5b57\u8282\u8df3\u52a8&#034;<\/span><span class=\"token punctuation\">,<\/span> tag<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#039;nt&#039;<\/span><span class=\"token punctuation\">)<\/span><br \/>\njieba<span class=\"token punctuation\">.<\/span>add_word<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;Mate60&#034;<\/span><span class=\"token punctuation\">,<\/span> tag<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#039;n&#039;<\/span><span class=\"token punctuation\">)<\/span><br \/>\njieba<span class=\"token punctuation\">.<\/span>add_word<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;\u7eed\u822a&#034;<\/span><span class=\"token punctuation\">,<\/span> tag<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#039;n&#039;<\/span><span class=\"token punctuation\">)<\/span><br \/>\njieba<span class=\"token punctuation\">.<\/span>add_word<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;\u62cd\u7167&#034;<\/span><span class=\"token punctuation\">,<\/span> tag<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#039;v&#039;<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token keyword\">def<\/span> <span class=\"token function\">pipeline_demo<\/span><span class=\"token punctuation\">(<\/span>text<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    <span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;\\\\n&#x1f4dd; \u539f\u59cb\u6587\u672c&#xff1a;<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>text<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;-&#034;<\/span> <span class=\"token operator\">*<\/span> <span class=\"token number\">50<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>    <span class=\"token comment\"># 1. \u5206\u8bcd<\/span><br \/>\n    words <span class=\"token operator\">&#061;<\/span> jieba<span class=\"token punctuation\">.<\/span>lcut<span class=\"token punctuation\">(<\/span>text<span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;1\ufe0f\u20e3 \u5206\u8bcd&#xff1a;&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034; \/ &#034;<\/span><span class=\"token punctuation\">.<\/span>join<span class=\"token punctuation\">(<\/span>words<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>    <span class=\"token comment\"># 2. \u8bcd\u6027\u6807\u6ce8<\/span><br \/>\n    pos_tags <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">(<\/span>w<span class=\"token punctuation\">.<\/span>word<span class=\"token punctuation\">,<\/span> w<span class=\"token punctuation\">.<\/span>flag<span class=\"token punctuation\">)<\/span> <span class=\"token keyword\">for<\/span> w <span class=\"token keyword\">in<\/span> pseg<span class=\"token punctuation\">.<\/span>lcut<span class=\"token punctuation\">(<\/span>text<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">]<\/span><br \/>\n    <span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;2\ufe0f\u20e3 \u8bcd\u6027\u6807\u6ce8&#xff1a;&#034;<\/span><span class=\"token punctuation\">,<\/span> pos_tags<span class=\"token punctuation\">)<\/span><\/p>\n<p>    <span class=\"token comment\"># 3. \u547d\u540d\u5b9e\u4f53\u8bc6\u522b&#xff08;\u7b80\u5316\u7248&#xff1a;\u7528\u89c4\u5219\u8bc6\u522b\u4eba\u540d\u3001\u5730\u540d\u3001\u673a\u6784\u540d&#xff09;<\/span><br \/>\n    entities <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">]<\/span><br \/>\n    <span class=\"token keyword\">for<\/span> w<span class=\"token punctuation\">,<\/span> flag <span class=\"token keyword\">in<\/span> pos_tags<span class=\"token punctuation\">:<\/span><br \/>\n        <span class=\"token keyword\">if<\/span> flag <span class=\"token keyword\">in<\/span> <span class=\"token punctuation\">{<\/span><span class=\"token string\">&#039;nr&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;ns&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;nt&#039;<\/span><span class=\"token punctuation\">}<\/span><span class=\"token punctuation\">:<\/span>  <span class=\"token comment\"># nr&#061;\u4eba\u540d, ns&#061;\u5730\u540d, nt&#061;\u673a\u6784\u540d<\/span><br \/>\n            entities<span class=\"token punctuation\">.<\/span>append<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">(<\/span>w<span class=\"token punctuation\">,<\/span> flag<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;3\ufe0f\u20e3 \u547d\u540d\u5b9e\u4f53\u8bc6\u522b&#xff1a;&#034;<\/span><span class=\"token punctuation\">,<\/span> entities <span class=\"token keyword\">if<\/span> entities <span class=\"token keyword\">else<\/span> <span class=\"token string\">&#034;\u672a\u8bc6\u522b\u51fa\u5e38\u89c1\u5b9e\u4f53&#034;<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>    <span class=\"token comment\"># 4. \u60c5\u611f\u5206\u6790<\/span><br \/>\n    s <span class=\"token operator\">&#061;<\/span> SnowNLP<span class=\"token punctuation\">(<\/span>text<span class=\"token punctuation\">)<\/span><br \/>\n    sentiment <span class=\"token operator\">&#061;<\/span> s<span class=\"token punctuation\">.<\/span>sentiments<br \/>\n    label <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#034;\u6b63\u9762&#034;<\/span> <span class=\"token keyword\">if<\/span> sentiment <span class=\"token operator\">&gt;<\/span> <span class=\"token number\">0.6<\/span> <span class=\"token keyword\">else<\/span> <span class=\"token string\">&#034;\u8d1f\u9762&#034;<\/span> <span class=\"token keyword\">if<\/span> sentiment <span class=\"token operator\">&lt;<\/span> <span class=\"token number\">0.4<\/span> <span class=\"token keyword\">else<\/span> <span class=\"token string\">&#034;\u4e2d\u6027&#034;<\/span><br \/>\n    <span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;4\ufe0f\u20e3 \u60c5\u611f\u5206\u6790&#xff1a;<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>label<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#xff08;\u7f6e\u4fe1\u5ea6&#xff1a;<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>sentiment<span class=\"token punctuation\">:<\/span><span class=\"token format-spec\">.3f<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#xff09;&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>    <span class=\"token keyword\">return<\/span> words<span class=\"token punctuation\">,<\/span> sentiment<\/p>\n<p><span class=\"token comment\"># \u6d4b\u8bd5\u4e24\u6761\u8bc4\u8bba<\/span><br \/>\nsample_texts <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><br \/>\n    <span class=\"token string\">&#034;\u534e\u4e3a Mate60 \u592a\u725b\u4e86&#xff0c;\u62cd\u7167\u6e05\u6670&#xff0c;\u7eed\u822a\u4e5f\u5f88\u9876&#xff01;&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string\">&#034;\u8fd9\u6b3e\u624b\u673a\u53d1\u70ed\u4e25\u91cd&#xff0c;\u73a9\u6e38\u620f\u5361\u5f97\u8981\u547d&#xff0c;\u540e\u6094\u4e70\u4e86\u3002&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n<span class=\"token punctuation\">]<\/span><\/p>\n<p>sentiments <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">]<\/span><br \/>\n<span class=\"token keyword\">for<\/span> t <span class=\"token keyword\">in<\/span> sample_texts<span class=\"token punctuation\">:<\/span><br \/>\n    _<span class=\"token punctuation\">,<\/span> sent <span class=\"token operator\">&#061;<\/span> pipeline_demo<span class=\"token punctuation\">(<\/span>t<span class=\"token punctuation\">)<\/span><br \/>\n    sentiments<span class=\"token punctuation\">.<\/span>append<span class=\"token punctuation\">(<\/span>sent<span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># 5. \u6587\u672c\u5206\u7c7b&#xff1a;\u7528 TF-IDF &#043; \u6734\u7d20\u8d1d\u53f6\u65af\u505a\u4e00\u4e2a\u60c5\u611f\u5206\u7c7b\u5668<\/span><br \/>\n<span class=\"token comment\"># \u8bad\u7ec3\u96c6\u6269\u5927\u4e00\u70b9&#xff0c;\u8986\u76d6\u66f4\u591a\u5e38\u7528\u8bcd<\/span><br \/>\ntrain_texts <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><br \/>\n    <span class=\"token comment\"># \u6b63\u9762\u6837\u672c<\/span><br \/>\n    <span class=\"token string\">&#034;\u8fd9\u90e8\u7535\u5f71\u771f\u597d\u770b&#xff0c;\u6f14\u5458\u6f14\u6280\u5728\u7ebf&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string\">&#034;\u624b\u673a\u901f\u5ea6\u5f88\u5feb&#xff0c;\u4f53\u9a8c\u975e\u5e38\u68d2&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string\">&#034;\u98ce\u666f\u4f18\u7f8e&#xff0c;\u9002\u5408\u62cd\u7167\u6253\u5361&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string\">&#034;\u8fd9\u5bb6\u9910\u5385\u73af\u5883\u4f18\u96c5&#xff0c;\u83dc\u54c1\u7cbe\u81f4&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string\">&#034;\u5916\u5356\u51c6\u65f6\u9001\u8fbe&#xff0c;\u5473\u9053\u5f88\u597d&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string\">&#034;\u5ba2\u670d\u6001\u5ea6\u5f88\u597d&#xff0c;\u95ee\u9898\u89e3\u51b3\u4e86&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string\">&#034;\u9152\u5e97\u5e72\u51c0\u6574\u6d01&#xff0c;\u4f4f\u5f97\u5f88\u8212\u670d&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string\">&#034;\u8fd9\u672c\u4e66\u5185\u5bb9\u4e30\u5bcc&#xff0c;\u63a8\u8350\u8d2d\u4e70&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token comment\"># \u8d1f\u9762\u6837\u672c<\/span><br \/>\n    <span class=\"token string\">&#034;\u5267\u60c5\u62d6\u6c93&#xff0c;\u6d6a\u8d39\u4e86\u6211\u4e24\u4e2a\u5c0f\u65f6&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string\">&#034;\u670d\u52a1\u6001\u5ea6\u5dee&#xff0c;\u518d\u4e5f\u4e0d\u6765\u4e86&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string\">&#034;\u6392\u961f\u592a\u4e45&#xff0c;\u4f53\u9a8c\u5f88\u5dee&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string\">&#034;\u624b\u673a\u53d1\u70ed\u4e25\u91cd&#xff0c;\u73a9\u6e38\u620f\u5361\u987f&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string\">&#034;\u5916\u5356\u9001\u4e86\u4e00\u4e2a\u5c0f\u65f6&#xff0c;\u996d\u90fd\u51c9\u4e86&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string\">&#034;\u623f\u95f4\u53c8\u810f\u53c8\u5c0f&#xff0c;\u975e\u5e38\u5931\u671b&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string\">&#034;\u8fd9\u672c\u4e66\u9519\u522b\u5b57\u592a\u591a&#xff0c;\u8d28\u91cf\u5dee&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string\">&#034;\u5ba2\u670d\u4e0d\u7406\u4eba&#xff0c;\u552e\u540e\u592a\u7cdf\u7cd5&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n<span class=\"token punctuation\">]<\/span><br \/>\ntrain_labels <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token operator\">*<\/span> <span class=\"token number\">8<\/span> <span class=\"token operator\">&#043;<\/span> <span class=\"token punctuation\">[<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token operator\">*<\/span> <span class=\"token number\">8<\/span>  <span class=\"token comment\"># 1&#061;\u6b63\u9762, 0&#061;\u8d1f\u9762<\/span><\/p>\n<p><span class=\"token comment\"># \u7528 jieba \u5206\u8bcd\u540e\u518d\u62fc\u63a5\u6210\u7a7a\u683c\u5206\u9694\u7684\u5b57\u7b26\u4e32<\/span><br \/>\n<span class=\"token keyword\">def<\/span> <span class=\"token function\">tokenize<\/span><span class=\"token punctuation\">(<\/span>text<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    <span class=\"token keyword\">return<\/span> <span class=\"token string\">&#034; &#034;<\/span><span class=\"token punctuation\">.<\/span>join<span class=\"token punctuation\">(<\/span>jieba<span class=\"token punctuation\">.<\/span>lcut<span class=\"token punctuation\">(<\/span>text<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>train_tokens <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span>tokenize<span class=\"token punctuation\">(<\/span>t<span class=\"token punctuation\">)<\/span> <span class=\"token keyword\">for<\/span> t <span class=\"token keyword\">in<\/span> train_texts<span class=\"token punctuation\">]<\/span><br \/>\nvectorizer <span class=\"token operator\">&#061;<\/span> TfidfVectorizer<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\nX_train <span class=\"token operator\">&#061;<\/span> vectorizer<span class=\"token punctuation\">.<\/span>fit_transform<span class=\"token punctuation\">(<\/span>train_tokens<span class=\"token punctuation\">)<\/span><br \/>\nclf <span class=\"token operator\">&#061;<\/span> MultinomialNB<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\nclf<span class=\"token punctuation\">.<\/span>fit<span class=\"token punctuation\">(<\/span>X_train<span class=\"token punctuation\">,<\/span> train_labels<span class=\"token punctuation\">)<\/span><\/p>\n<p>test_texts <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;\u8fd9\u5bb6\u65b0\u5f00\u7684\u5496\u5561\u5e97\u73af\u5883\u4f18\u96c5&#xff0c;\u86cb\u7cd5\u4e5f\u5f88\u7cbe\u81f4&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;\u5feb\u9012\u5ef6\u8fdf\u4e86\u4e09\u5929&#xff0c;\u5305\u88c5\u8fd8\u7834\u635f\u4e86&#034;<\/span><span class=\"token punctuation\">]<\/span><br \/>\ntest_tokens <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span>tokenize<span class=\"token punctuation\">(<\/span>t<span class=\"token punctuation\">)<\/span> <span class=\"token keyword\">for<\/span> t <span class=\"token keyword\">in<\/span> test_texts<span class=\"token punctuation\">]<\/span><br \/>\nX_test <span class=\"token operator\">&#061;<\/span> vectorizer<span class=\"token punctuation\">.<\/span>transform<span class=\"token punctuation\">(<\/span>test_tokens<span class=\"token punctuation\">)<\/span><br \/>\npreds <span class=\"token operator\">&#061;<\/span> clf<span class=\"token punctuation\">.<\/span>predict<span class=\"token punctuation\">(<\/span>X_test<span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;\\\\n&#034;<\/span> <span class=\"token operator\">&#043;<\/span> <span class=\"token string\">&#034;&#061;&#034;<\/span> <span class=\"token operator\">*<\/span> <span class=\"token number\">50<\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;&#x1f916; \u6587\u672c\u5206\u7c7b\u7ed3\u679c&#xff1a;&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">for<\/span> t<span class=\"token punctuation\">,<\/span> p <span class=\"token keyword\">in<\/span> <span class=\"token builtin\">zip<\/span><span class=\"token punctuation\">(<\/span>test_texts<span class=\"token punctuation\">,<\/span> preds<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    <span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;   <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>t<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\"> \u2192 <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span><span class=\"token string\">&#039;\u6b63\u9762&#039;<\/span> <span class=\"token keyword\">if<\/span> p <span class=\"token operator\">&#061;&#061;<\/span> <span class=\"token number\">1<\/span> <span class=\"token keyword\">else<\/span> <span class=\"token string\">&#039;\u8d1f\u9762&#039;<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># \u53ef\u89c6\u5316\u60c5\u611f\u5206\u6570<\/span><br \/>\nfig<span class=\"token punctuation\">,<\/span> ax <span class=\"token operator\">&#061;<\/span> plt<span class=\"token punctuation\">.<\/span>subplots<span class=\"token punctuation\">(<\/span>figsize<span class=\"token operator\">&#061;<\/span><span class=\"token punctuation\">(<\/span><span class=\"token number\">8<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">5<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\ncolors <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;#2ED573&#039;<\/span> <span class=\"token keyword\">if<\/span> s <span class=\"token operator\">&gt;<\/span> <span class=\"token number\">0.5<\/span> <span class=\"token keyword\">else<\/span> <span class=\"token string\">&#039;#FF4757&#039;<\/span> <span class=\"token keyword\">for<\/span> s <span class=\"token keyword\">in<\/span> sentiments<span class=\"token punctuation\">]<\/span><br \/>\nbars <span class=\"token operator\">&#061;<\/span> ax<span class=\"token punctuation\">.<\/span>barh<span class=\"token punctuation\">(<\/span><span class=\"token builtin\">range<\/span><span class=\"token punctuation\">(<\/span><span class=\"token builtin\">len<\/span><span class=\"token punctuation\">(<\/span>sample_texts<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> sentiments<span class=\"token punctuation\">,<\/span> color<span class=\"token operator\">&#061;<\/span>colors<span class=\"token punctuation\">,<\/span> alpha<span class=\"token operator\">&#061;<\/span><span class=\"token number\">0.8<\/span><span class=\"token punctuation\">)<\/span><br \/>\nax<span class=\"token punctuation\">.<\/span>set_yticks<span class=\"token punctuation\">(<\/span><span class=\"token builtin\">range<\/span><span class=\"token punctuation\">(<\/span><span class=\"token builtin\">len<\/span><span class=\"token punctuation\">(<\/span>sample_texts<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\nax<span class=\"token punctuation\">.<\/span>set_yticklabels<span class=\"token punctuation\">(<\/span>sample_texts<span class=\"token punctuation\">,<\/span> fontsize<span class=\"token operator\">&#061;<\/span><span class=\"token number\">10<\/span><span class=\"token punctuation\">)<\/span><br \/>\nax<span class=\"token punctuation\">.<\/span>set_xlim<span class=\"token punctuation\">(<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">1<\/span><span class=\"token punctuation\">)<\/span><br \/>\nax<span class=\"token punctuation\">.<\/span>set_xlabel<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#039;\u6b63\u9762\u60c5\u611f\u5f97\u5206&#039;<\/span><span class=\"token punctuation\">,<\/span> fontsize<span class=\"token operator\">&#061;<\/span><span class=\"token number\">12<\/span><span class=\"token punctuation\">)<\/span><br \/>\nax<span class=\"token punctuation\">.<\/span>set_title<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#039;\u4e24\u6761\u8bc4\u8bba\u7684\u60c5\u611f\u5206\u6790\u5bf9\u6bd4&#039;<\/span><span class=\"token punctuation\">,<\/span> fontsize<span class=\"token operator\">&#061;<\/span><span class=\"token number\">14<\/span><span class=\"token punctuation\">)<\/span><br \/>\nax<span class=\"token punctuation\">.<\/span>axvline<span class=\"token punctuation\">(<\/span>x<span class=\"token operator\">&#061;<\/span><span class=\"token number\">0.5<\/span><span class=\"token punctuation\">,<\/span> color<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#039;gray&#039;<\/span><span class=\"token punctuation\">,<\/span> linestyle<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#039;&#8211;&#039;<\/span><span class=\"token punctuation\">,<\/span> linewidth<span class=\"token operator\">&#061;<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token keyword\">for<\/span> bar<span class=\"token punctuation\">,<\/span> s <span class=\"token keyword\">in<\/span> <span class=\"token builtin\">zip<\/span><span class=\"token punctuation\">(<\/span>bars<span class=\"token punctuation\">,<\/span> sentiments<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    ax<span class=\"token punctuation\">.<\/span>text<span class=\"token punctuation\">(<\/span>s <span class=\"token operator\">&#043;<\/span> <span class=\"token number\">0.02<\/span><span class=\"token punctuation\">,<\/span> bar<span class=\"token punctuation\">.<\/span>get_y<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">&#043;<\/span> bar<span class=\"token punctuation\">.<\/span>get_height<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token operator\">\/<\/span><span class=\"token number\">2<\/span><span class=\"token punctuation\">,<\/span><br \/>\n            <span class=\"token string-interpolation\"><span class=\"token string\">f&#039;<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>s<span class=\"token punctuation\">:<\/span><span class=\"token format-spec\">.3f<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#039;<\/span><\/span><span class=\"token punctuation\">,<\/span> va<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#039;center&#039;<\/span><span class=\"token punctuation\">,<\/span> fontsize<span class=\"token operator\">&#061;<\/span><span class=\"token number\">10<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>plt<span class=\"token punctuation\">.<\/span>tight_layout<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>show<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>\u8fd0\u884c\u7ed3\u679c\u622a\u56fe&#xff1a;<\/p>\n<p>\u7ec8\u7aef\u8f93\u51fa&#xff1a;<\/p>\n<p><img decoding=\"async\" src=\"2026-09-01vbxgf3qcqk0.png\" alt=\"\u5b9e\u9a8c 1.3 \u7ec8\u7aef\u8f93\u51fa\" \/><\/p>\n<p>\u60c5\u611f\u5206\u6790\u5bf9\u6bd4\u56fe&#xff1a;<\/p>\n<p><img decoding=\"async\" src=\"2026-09-01tugcet30y1z.png\" alt=\"\u5b9e\u9a8c 1.3 \u60c5\u611f\u5206\u6790\u5bf9\u6bd4\u56fe\" \/><\/p>\n<p>\u8fd0\u884c\u6548\u679c&#xff1a;<\/p>\n<p>\u8fd9\u6bb5\u4ee3\u7801\u4f1a\u8f93\u51fa\u5206\u8bcd\u3001\u8bcd\u6027\u3001\u5b9e\u4f53\u3001\u60c5\u611f\u5206\u6790\u7ed3\u679c&#xff0c;\u5e76\u5f39\u51fa\u4e00\u4e2a\u60c5\u611f\u5bf9\u6bd4\u56fe\u3002\u4f60\u53ef\u4ee5\u770b\u5230&#xff1a;\u6b63\u9762\u8bc4\u8bba\u5f97\u5206\u63a5\u8fd1 1&#xff0c;\u8d1f\u9762\u8bc4\u8bba\u5f97\u5206\u63a5\u8fd1 0&#xff0c;\u4e2d\u95f4\u6709\u4e00\u6761 0.5 \u7684\u5206\u754c\u7ebf\u3002<\/p>\n<hr \/>\n<h3>1.4 \u81ea\u7136\u8bed\u8a00\u5904\u7406\u6280\u672f\u53d1\u5c55\u5386\u53f2<\/h3>\n<p>NLP \u7684\u53d1\u5c55\u4e0d\u662f\u4e00\u8e74\u800c\u5c31\u7684\u3002\u6559\u6750\u548c PPT \u4ece\u201c\u8303\u5f0f\u201d\u548c\u201c\u8868\u793a\u65b9\u6cd5\u201d\u4e24\u4e2a\u89d2\u5ea6&#xff0c;\u628a\u8fd9\u6bb5\u5386\u53f2\u68b3\u7406\u5f97\u975e\u5e38\u6e05\u6670\u3002<\/p>\n<h4>1.4.1 \u4e24\u5927\u8303\u5f0f&#xff1a;\u7406\u6027\u4e3b\u4e49\u4e0e\u7ecf\u9a8c\u4e3b\u4e49<\/h4>\n<p>NLP \u7684\u53d1\u5c55\u7ecf\u5386\u4e86\u4e24\u6b21\u8303\u5f0f\u53d8\u8fc1&#xff1a;<\/p>\n<table>\n<tr>\u8303\u5f0f\u6838\u5fc3\u601d\u60f3\u4ee3\u8868\u4eba\u7269\/\u65b9\u6cd5\u4f18\u70b9\u7f3a\u70b9<\/tr>\n<tbody>\n<tr>\n<td>\u7406\u6027\u4e3b\u4e49&#xff08;Rationalism&#xff09;<\/td>\n<td>\u4e13\u5bb6\u603b\u7ed3\u7b26\u53f7\u903b\u8f91\u89c4\u5219<\/td>\n<td>\u89c4\u5219\u5e93\u3001\u77e5\u8bc6\u5e93\u3001\u8bed\u6cd5\u89c4\u5219<\/td>\n<td>\u53ef\u89e3\u91ca\u3001\u53ef\u5e72\u9884<\/td>\n<td>\u89c4\u5219\u96be\u4ee5\u8986\u76d6\u6240\u6709\u73b0\u8c61&#xff0c;\u7ef4\u62a4\u6210\u672c\u9ad8<\/td>\n<\/tr>\n<tr>\n<td>\u7ecf\u9a8c\u4e3b\u4e49&#xff08;Empiricism&#xff09;<\/td>\n<td>\u4ece\u6570\u636e\u4e2d\u81ea\u52a8\u5b66\u4e60\u89c4\u5f8b<\/td>\n<td>\u7edf\u8ba1\u6a21\u578b\u3001\u673a\u5668\u5b66\u4e60\u3001\u6df1\u5ea6\u5b66\u4e60<\/td>\n<td>\u53ef\u6269\u5c55\u3001\u80fd\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e<\/td>\n<td>\u9700\u8981\u5927\u91cf\u6570\u636e\u548c\u8ba1\u7b97\u8d44\u6e90<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&#x1f330; \u7c7b\u6bd4&#xff1a;\u7406\u6027\u4e3b\u4e49\u50cf\u201c\u8bf7\u8001\u4e2d\u533b\u5f00\u836f\u65b9\u201d&#xff0c;\u9760\u7ecf\u9a8c\u89c4\u5219&#xff1b;\u7ecf\u9a8c\u4e3b\u4e49\u50cf\u201c\u7528\u5927\u6570\u636e\u8bad\u7ec3 AI \u8bca\u65ad\u201d&#xff0c;\u9760\u7edf\u8ba1\u89c4\u5f8b\u3002<\/p>\n<p><img decoding=\"async\" src=\"2026-09-010kw2ux5ay0v.jpg\" alt=\"\u7406\u6027\u4e3b\u4e49\u4e0e\u7ecf\u9a8c\u4e3b\u4e49\u5361\u901a\u56fe\uff1a\u8001\u4e2d\u533b\u624b\u5199\u89c4\u5219\u4e66 vs \u5927\u6570\u636e\u81ea\u52a8\u5b66\u4e60\" \/><\/p>\n<p>\u56fe 6&#xff1a;\u7406\u6027\u4e3b\u4e49 vs \u7ecf\u9a8c\u4e3b\u4e49\u2014\u2014\u89c4\u5219\u6d3e\u4e0e\u6570\u636e\u6d3e\u4e24\u79cd\u7814\u7a76\u8303\u5f0f\u3002<\/p>\n<h4>1.4.2 \u8868\u793a\u65b9\u6cd5\u7684\u6f14\u8fdb<\/h4>\n<p>NLP \u7684\u6838\u5fc3\u95ee\u9898\u4e4b\u4e00\u662f&#xff1a;\u5982\u4f55\u5728\u8ba1\u7b97\u673a\u5185\u90e8\u8868\u793a\u8bed\u4e49&#xff1f; \u6839\u636e\u8868\u793a\u65b9\u6cd5\u7684\u4e0d\u540c&#xff0c;NLP \u7ecf\u5386\u4e86\u56db\u6b21\u5173\u952e\u6f14\u8fdb&#xff1a;<\/p>\n<p><img decoding=\"async\" src=\"2026-09-01esipvlov1p0.jpg\" alt=\"NLP \u8868\u793a\u65b9\u6cd5\u6f14\u8fdb\u5361\u901a\u56fe\uff1a\u4ece\u7b26\u53f7\u5230\u79bb\u6563\u5411\u91cf\u3001\u8bcd\u5d4c\u5165\u3001\u4e0a\u4e0b\u6587\u76f8\u5173\u5411\u91cf\u7684\u5347\u7ea7\u4e4b\u8def\" \/><\/p>\n<p>\u56fe 7&#xff1a;\u4ece\u7b26\u53f7\u5230\u5411\u91cf&#xff0c;\u4ece\u79bb\u6563\u5230\u8fde\u7eed&#xff0c;\u4ece\u9759\u6001\u5230\u4e0a\u4e0b\u6587\u76f8\u5173\u3002<\/p>\n<table>\n<tr>\u9636\u6bb5\u8868\u793a\u65b9\u6cd5\u65b9\u6cd5\/\u601d\u60f3\u4ee3\u8868\u6280\u672f\u6838\u5fc3\u7279\u70b9<\/tr>\n<tbody>\n<tr>\n<td>\u7b26\u53f7\u8868\u793a<\/td>\n<td>\u5b57\u7b26\u4e32\u3001\u89c4\u5219\u7b26\u53f7<\/td>\n<td>\u4e13\u5bb6\u89c4\u5219<\/td>\n<td>\u89c4\u5219\u5e93\u3001\u77e5\u8bc6\u5e93<\/td>\n<td>\u53ef\u89e3\u91ca&#xff0c;\u96be\u7ef4\u62a4<\/td>\n<\/tr>\n<tr>\n<td>\u79bb\u6563\u5411\u91cf\u8868\u793a<\/td>\n<td>\u9ad8\u7ef4\u3001\u7a00\u758f\u7684 one-hot \u5411\u91cf<\/td>\n<td>\u7edf\u8ba1\u5b66\u4e60<\/td>\n<td>HMM\u3001CRF\u3001SVM<\/td>\n<td>\u53ef\u8ba1\u7b97&#xff0c;\u4f46\u65e0\u6cd5\u5904\u7406\u540c\u4e49\u8bcd<\/td>\n<\/tr>\n<tr>\n<td>\u8fde\u7eed\u5d4c\u5165\u8868\u793a<\/td>\n<td>\u4f4e\u7ef4\u3001\u7a20\u5bc6\u7684\u8bcd\u5d4c\u5165\u5411\u91cf<\/td>\n<td>\u8868\u793a\u5b66\u4e60<\/td>\n<td>Word2Vec\u3001GloVe<\/td>\n<td>\u8bed\u4e49\u76f8\u8fd1\u7684\u8bcd\u5411\u91cf\u4e5f\u76f8\u8fd1<\/td>\n<\/tr>\n<tr>\n<td>\u4e0a\u4e0b\u6587\u76f8\u5173\u5411\u91cf<\/td>\n<td>\u9884\u8bad\u7ec3\u8bed\u8a00\u6a21\u578b\u751f\u6210\u7684\u52a8\u6001\u5411\u91cf<\/td>\n<td>\u9884\u8bad\u7ec3 &#043; \u7cbe\u8c03<\/td>\n<td>BERT\u3001GPT\u3001LLM<\/td>\n<td>\u540c\u4e00\u8bcd\u5728\u4e0d\u540c\u4e0a\u4e0b\u6587\u5411\u91cf\u4e0d\u540c<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&#x1f4a1; \u5173\u952e\u6d1e\u5bdf&#xff1a;\u8868\u793a\u65b9\u6cd5\u7684\u6f14\u8fdb&#xff0c;\u672c\u8d28\u4e0a\u662f\u5728\u56de\u7b54\u201c\u5982\u4f55\u8ba9\u673a\u5668\u66f4\u597d\u5730\u7406\u89e3\u8bcd\u4e0e\u8bcd\u4e4b\u95f4\u7684\u5173\u7cfb\u201d\u3002<\/p>\n<h4>1.4.3 \u56db\u4e2a\u53d1\u5c55\u9636\u6bb5<\/h4>\n<p>\u7ed3\u5408\u65f6\u95f4\u7ebf&#xff0c;NLP \u5927\u81f4\u7ecf\u5386\u4e86\u56db\u4e2a\u9636\u6bb5&#xff1a;<\/p>\n<table>\n<tr>\u9636\u6bb5\u65f6\u95f4\u6838\u5fc3\u601d\u60f3\u4ee3\u8868\u6280\u672f\u7279\u70b9<\/tr>\n<tbody>\n<tr>\n<td>\u89c4\u5219\u65f6\u4ee3<\/td>\n<td>1950s\u20131990s<\/td>\n<td>\u4e13\u5bb6\u5199\u89c4\u5219<\/td>\n<td>\u6b63\u5219\u8868\u8fbe\u5f0f\u3001\u8bed\u6cd5\u89c4\u5219\u3001\u77e5\u8bc6\u5e93<\/td>\n<td>\u53ef\u89e3\u91ca\u5f3a&#xff0c;\u4f46\u89c4\u5219\u96be\u4ee5\u8986\u76d6\u6240\u6709\u8bed\u8a00\u73b0\u8c61<\/td>\n<\/tr>\n<tr>\n<td>\u7edf\u8ba1\u65f6\u4ee3<\/td>\n<td>1990s\u20132010s<\/td>\n<td>\u4ece\u6570\u636e\u4e2d\u5b66\u4e60\u6982\u7387<\/td>\n<td>HMM\u3001CRF\u3001SVM\u3001n-gram \u8bed\u8a00\u6a21\u578b<\/td>\n<td>\u9700\u8981\u5927\u91cf\u6807\u6ce8\u6570\u636e&#xff0c;\u6548\u679c\u6bd4\u7eaf\u89c4\u5219\u597d<\/td>\n<\/tr>\n<tr>\n<td>\u795e\u7ecf\u7f51\u7edc\u65f6\u4ee3<\/td>\n<td>2010s\u20132017<\/td>\n<td>\u7528\u6df1\u5ea6\u7f51\u7edc\u81ea\u52a8\u5b66\u7279\u5f81<\/td>\n<td>RNN\u3001LSTM\u3001CNN\u3001Word2Vec\u3001Seq2Seq<\/td>\n<td>\u81ea\u52a8\u63d0\u53d6\u7279\u5f81&#xff0c;\u4e0a\u4e0b\u6587\u5efa\u6a21\u80fd\u529b\u589e\u5f3a<\/td>\n<\/tr>\n<tr>\n<td>\u5927\u6a21\u578b\u65f6\u4ee3<\/td>\n<td>2017\u2013\u81f3\u4eca<\/td>\n<td>\u9884\u8bad\u7ec3 &#043; \u5fae\u8c03 \/ \u63d0\u793a<\/td>\n<td>Transformer\u3001BERT\u3001GPT\u3001LLaMA\u3001ChatGLM<\/td>\n<td>\u901a\u7528\u6027\u5f3a&#xff0c;\u6d8c\u73b0\u80fd\u529b\u5f3a&#xff0c;\u4f46\u8ba1\u7b97\u8d44\u6e90\u6d88\u8017\u5927<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4>1.4.4 \u9884\u8bad\u7ec3 &#043; \u7cbe\u8c03&#xff1a;\u65b0\u8303\u5f0f<\/h4>\n<p>2018 \u5e74\u4ee5\u540e&#xff0c;NLP \u8fdb\u5165\u4e86\u201c\u9884\u8bad\u7ec3 &#043; \u7cbe\u8c03\u201d\u7684\u65b0\u8303\u5f0f&#xff1a;<\/p>\n<li>\u9884\u8bad\u7ec3&#xff08;Pre-training&#xff09;&#xff1a;\u5728\u5927\u89c4\u6a21\u65e0\u6807\u6ce8\u6587\u672c\u4e0a\u8bad\u7ec3\u4e00\u4e2a\u901a\u7528\u8bed\u8a00\u6a21\u578b&#xff0c;\u8ba9\u5b83\u5b66\u4f1a\u8bed\u8a00\u7684\u57fa\u672c\u89c4\u5f8b\u3002<\/li>\n<li>\u7cbe\u8c03&#xff08;Fine-tuning&#xff09;&#xff1a;\u5728\u7279\u5b9a\u4e0b\u6e38\u4efb\u52a1\u7684\u5c0f\u89c4\u6a21\u6807\u6ce8\u6570\u636e\u4e0a\u7ee7\u7eed\u8bad\u7ec3&#xff0c;\u8ba9\u6a21\u578b\u9002\u914d\u5177\u4f53\u4efb\u52a1\u3002<\/li>\n<p>&#x1f330; \u7c7b\u6bd4&#xff1a;\u5148\u8ba9\u6a21\u578b\u8bfb\u904d\u4e92\u8054\u7f51\u201c\u4e0a\u5b66\u201d&#xff08;\u9884\u8bad\u7ec3&#xff09;&#xff0c;\u518d\u9488\u5bf9\u5177\u4f53\u5de5\u4f5c\u201c\u5b9e\u4e60\u201d&#xff08;\u7cbe\u8c03&#xff09;\u3002<\/p>\n<p><img decoding=\"async\" src=\"2026-09-01bnxvpt5hali.jpg\" alt=\"\u9884\u8bad\u7ec3+\u7cbe\u8c03\u5361\u901a\u56fe\uff1a\u5927\u6a21\u578b\u5148\u5728\u56fe\u4e66\u9986\u8bfb\u6d77\u91cf\u4e66\u7c4d\uff0c\u518d\u9488\u5bf9\u5177\u4f53\u4efb\u52a1\u8fdb\u884c\u4e13\u9879\u8bad\u7ec3\" \/><\/p>\n<p>\u56fe 8&#xff1a;\u9884\u8bad\u7ec3 &#043; \u7cbe\u8c03\u2014\u2014\u5148\u201c\u4e0a\u5b66\u201d\u8bfb\u904d\u4e92\u8054\u7f51&#xff0c;\u518d\u201c\u5b9e\u4e60\u201d\u9002\u914d\u5177\u4f53\u4efb\u52a1\u3002<\/p>\n<h4>1.4.5 \u5927\u6a21\u578b\u65f6\u4ee3&#xff1a;ChatGPT\u3001\u63d0\u793a\u5de5\u7a0b\u4e0e\u6307\u4ee4\u5fae\u8c03<\/h4>\n<p>2022 \u5e74 11 \u6708 30 \u65e5&#xff0c;OpenAI \u63a8\u51fa ChatGPT&#xff0c;\u6807\u5fd7\u7740\u5927\u8bed\u8a00\u6a21\u578b\u771f\u6b63\u8d70\u8fdb\u5927\u4f17\u89c6\u91ce\u3002ChatGPT \u80cc\u540e\u7684\u5173\u952e\u6280\u672f\u5305\u62ec&#xff1a;<\/p>\n<ul>\n<li>\n<p>\u5927\u8bed\u8a00\u6a21\u578b&#xff08;LLM, Large Language Model&#xff09;&#xff1a;\u53c2\u6570\u91cf\u5de8\u5927&#xff08;\u6570\u5341\u4ebf\u5230\u6570\u5343\u4ebf&#xff09;&#xff0c;\u5728\u6d77\u91cf\u6587\u672c\u4e0a\u9884\u8bad\u7ec3\u3002<\/p>\n<\/li>\n<li>\n<p>\u63d0\u793a\u5de5\u7a0b&#xff08;Prompt Engineering&#xff09;&#xff1a;\u901a\u8fc7\u8bbe\u8ba1\u8f93\u5165\u63d0\u793a&#xff0c;\u5f15\u5bfc\u6a21\u578b\u751f\u6210\u671f\u671b\u7684\u8f93\u51fa\u3002<\/p>\n<\/li>\n<li>\n<p>\u6307\u4ee4\u5fae\u8c03&#xff08;Instruction Tuning&#xff09;&#xff1a;\u7528\u4eba\u7c7b\u6307\u4ee4\u6570\u636e\u5bf9\u6a21\u578b\u8fdb\u884c\u5fae\u8c03&#xff0c;\u8ba9\u6a21\u578b\u66f4\u597d\u5730\u9075\u5faa\u7528\u6237\u610f\u56fe\u3002<\/p>\n<\/li>\n<li>\n<p>RLHF&#xff08;Reinforcement Learning from Human Feedback&#xff0c;\u57fa\u4e8e\u4eba\u7c7b\u53cd\u9988\u7684\u5f3a\u5316\u5b66\u4e60&#xff09;&#xff1a;\u901a\u8fc7\u4eba\u7c7b\u8bc4\u5206\u8fdb\u4e00\u6b65\u4f18\u5316\u6a21\u578b\u56de\u7b54\u8d28\u91cf\u3002<\/p>\n<\/li>\n<\/ul>\n<p>&#x1f4a1; \u5927\u6a21\u578b\u4e4b\u6240\u4ee5\u5f3a\u5927&#xff0c;\u662f\u56e0\u4e3a\u6587\u672c\u81ea\u8eab\u7684\u987a\u5e8f\u6027\u5c31\u662f\u5929\u7136\u6807\u6ce8\u6570\u636e&#xff1a;\u9884\u6d4b\u4e0b\u4e00\u4e2a\u8bcd\u672c\u8eab\u5c31\u662f\u4e00\u4e2a\u81ea\u76d1\u7763\u4efb\u52a1&#xff0c;\u65e0\u9700\u4eba\u5de5\u6807\u6ce8&#xff0c;\u56e0\u6b64\u53ef\u4ee5\u5229\u7528\u51e0\u4e4e\u65e0\u9650\u7684\u4e92\u8054\u7f51\u6587\u672c\u3002<\/p>\n<p><img decoding=\"async\" src=\"2026-09-01jtyriejjgdx.jpg\" alt=\"\u63d0\u793a\u5de5\u7a0b\u5361\u901a\u56fe\uff1a\u7528\u6237\u7cbe\u5fc3\u8bbe\u8ba1\u63d0\u793a\u8bcd\uff0c\u5f15\u5bfc\u5927\u6a21\u578b\u751f\u6210\u671f\u671b\u7684\u56de\u7b54\" \/><\/p>\n<p>\u56fe 9&#xff1a;\u63d0\u793a\u5de5\u7a0b\u2014\u2014\u901a\u8fc7\u8bbe\u8ba1\u8f93\u5165\u63d0\u793a&#xff0c;\u5f15\u5bfc\u5927\u6a21\u578b\u751f\u6210\u671f\u671b\u8f93\u51fa\u3002<\/p>\n<h4>1.4.6 \u4ece\u201c\u4e13\u4e00\u5de5\u5320\u201d\u5230\u201c\u901a\u624d\u5b66\u751f\u201d<\/h4>\n<p>&#x1f330; \u7c7b\u6bd4&#xff1a;<\/p>\n<ul>\n<li>\n<p>\u89c4\u5219\u65f6\u4ee3&#xff1a;\u50cf\u8bf7\u4e86\u4e00\u4f4d\u8001\u6559\u6388&#xff0c;\u4ed6\u624b\u5199\u4e86\u4e00\u5927\u5806\u8bed\u6cd5\u4e66&#xff0c;\u9047\u5230\u6ca1\u5199\u8fc7\u7684\u53e5\u5b50\u5c31\u61f5\u4e86\u3002<\/p>\n<\/li>\n<li>\n<p>\u7edf\u8ba1\u65f6\u4ee3&#xff1a;\u50cf\u8bf7\u4e86\u4e00\u4f4d\u7edf\u8ba1\u5e08&#xff0c;\u4ed6\u8bfb\u4e86\u5927\u91cf\u8bed\u6599&#xff0c;\u9760\u6982\u7387\u731c\u6d4b\u6700\u53ef\u80fd\u7684\u610f\u601d\u3002<\/p>\n<\/li>\n<li>\n<p>\u795e\u7ecf\u7f51\u7edc\u65f6\u4ee3&#xff1a;\u50cf\u8bf7\u4e86\u4e00\u4f4d\u5b9e\u4e60\u751f&#xff0c;\u4ed6\u81ea\u52a8\u4ece\u6570\u636e\u91cc\u603b\u7ed3\u89c4\u5f8b&#xff0c;\u4f46\u8fd8\u9700\u8981\u5927\u91cf\u8bad\u7ec3\u3002<\/p>\n<\/li>\n<li>\n<p>\u5927\u6a21\u578b\u65f6\u4ee3&#xff1a;\u50cf\u8bf7\u4e86\u4e00\u4f4d\u535a\u89c8\u7fa4\u4e66\u7684\u901a\u624d&#xff0c;\u5148\u8bfb\u904d\u4e92\u8054\u7f51&#xff0c;\u518d\u9488\u5bf9\u4f60\u7684\u4efb\u52a1\u7a0d\u5fae\u70b9\u62e8\u4e00\u4e0b\u5c31\u4f1a\u4e86\u3002<\/p>\n<\/li>\n<\/ul>\n<h4>1.4.7 \u52a8\u624b\u5b9e\u9a8c&#xff1a;\u53ef\u89c6\u5316 NLP \u53d1\u5c55\u5386\u7a0b<\/h4>\n<p>\u4e0b\u9762\u7684\u4ee3\u7801\u7528 matplotlib \u753b\u51fa\u4e00\u6761 NLP \u53d1\u5c55\u65f6\u95f4\u7ebf&#xff0c;\u5e76\u7528\u4e0d\u540c\u989c\u8272\u6807\u6ce8\u6bcf\u4e2a\u9636\u6bb5\u3002<\/p>\n<p><span class=\"token triple-quoted-string string\">&#034;&#034;&#034;<br \/>\n\u5b9e\u9a8c 1.4&#xff1a;NLP \u53d1\u5c55\u65f6\u95f4\u7ebf\u53ef\u89c6\u5316<br \/>\n\u76ee\u6807&#xff1a;\u76f4\u89c2\u4e86\u89e3 NLP \u4ece\u89c4\u5219\u65f6\u4ee3\u5230\u5927\u6a21\u578b\u65f6\u4ee3\u7684\u6f14\u8fdb<br \/>\n\u4f9d\u8d56&#xff1a;matplotlib&#xff08;pip install matplotlib&#xff09;<br \/>\n&#034;&#034;&#034;<\/span><\/p>\n<p><span class=\"token keyword\">import<\/span> matplotlib<span class=\"token punctuation\">.<\/span>pyplot <span class=\"token keyword\">as<\/span> plt<br \/>\n<span class=\"token keyword\">import<\/span> numpy <span class=\"token keyword\">as<\/span> np<\/p>\n<p><span class=\"token comment\"># Mac \u4e2d\u6587\u5b57\u4f53\u914d\u7f6e<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>rcParams<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;font.sans-serif&#039;<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;Arial Unicode MS&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;DejaVu Sans&#039;<\/span><span class=\"token punctuation\">]<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>rcParams<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;axes.unicode_minus&#039;<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token operator\">&#061;<\/span> <span class=\"token boolean\">False<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>rcParams<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;font.family&#039;<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#039;Arial Unicode MS&#039;<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>rcParams<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;axes.facecolor&#039;<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#039;white&#039;<\/span><\/p>\n<p><span class=\"token comment\"># \u5b9a\u4e49\u9636\u6bb5\u6570\u636e<\/span><br \/>\nstages <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><br \/>\n    <span class=\"token punctuation\">{<\/span><span class=\"token string\">&#034;name&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;\u89c4\u5219\u65f6\u4ee3&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;start&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">1950<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;end&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">1990<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;color&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;#74B9FF&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n     <span class=\"token string\">&#034;keywords&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;\u6b63\u5219 \/ \u77e5\u8bc6\u5e93 \/ \u4e13\u5bb6\u89c4\u5219&#034;<\/span><span class=\"token punctuation\">}<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token punctuation\">{<\/span><span class=\"token string\">&#034;name&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;\u7edf\u8ba1\u65f6\u4ee3&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;start&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">1990<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;end&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">2010<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;color&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;#55EFC4&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n     <span class=\"token string\">&#034;keywords&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;HMM \/ CRF \/ SVM \/ n-gram&#034;<\/span><span class=\"token punctuation\">}<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token punctuation\">{<\/span><span class=\"token string\">&#034;name&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;\u795e\u7ecf\u7f51\u7edc\u65f6\u4ee3&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;start&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">2010<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;end&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">2017<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;color&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;#FDCB6E&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n     <span class=\"token string\">&#034;keywords&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;RNN \/ LSTM\\\\nWord2Vec \/ Seq2Seq&#034;<\/span><span class=\"token punctuation\">}<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token punctuation\">{<\/span><span class=\"token string\">&#034;name&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;\u5927\u6a21\u578b\u65f6\u4ee3&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;start&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">2017<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;end&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">2026<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;color&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;#FF7675&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n     <span class=\"token string\">&#034;keywords&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;Transformer\\\\nBERT \/ GPT \/ LLM&#034;<\/span><span class=\"token punctuation\">}<\/span><span class=\"token punctuation\">,<\/span><br \/>\n<span class=\"token punctuation\">]<\/span><\/p>\n<p>milestones <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><br \/>\n    <span class=\"token punctuation\">(<\/span><span class=\"token number\">1950<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;\u56fe\u7075\u6d4b\u8bd5\u63d0\u51fa&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token punctuation\">(<\/span><span class=\"token number\">1954<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;\u9996\u4e2a\u673a\u5668\u7ffb\u8bd1\u7cfb\u7edf&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token punctuation\">(<\/span><span class=\"token number\">1990<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;\u7edf\u8ba1 NLP \u5174\u8d77&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token punctuation\">(<\/span><span class=\"token number\">2013<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;Word2Vec&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token punctuation\">(<\/span><span class=\"token number\">2017<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;Transformer \u67b6\u6784&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token punctuation\">(<\/span><span class=\"token number\">2018<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;BERT \/ GPT&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token punctuation\">(<\/span><span class=\"token number\">2022<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;ChatGPT \u53d1\u5e03&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span><br \/>\n<span class=\"token punctuation\">]<\/span><\/p>\n<p><span class=\"token comment\"># \u4e3a\u6bcf\u4e2a\u91cc\u7a0b\u7891\u8bbe\u7f6e\u4e0d\u540c\u9ad8\u5ea6&#xff0c;\u907f\u514d\u6587\u5b57\u91cd\u53e0<\/span><br \/>\nyear_offsets <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">{<\/span><br \/>\n    <span class=\"token number\">1950<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">0.80<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token number\">1954<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">0.55<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token number\">1990<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">0.80<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token number\">2013<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">1.00<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token number\">2017<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">0.60<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token number\">2018<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">0.95<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token number\">2022<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">0.55<\/span><span class=\"token punctuation\">,<\/span><br \/>\n<span class=\"token punctuation\">}<\/span><\/p>\n<p>fig<span class=\"token punctuation\">,<\/span> ax <span class=\"token operator\">&#061;<\/span> plt<span class=\"token punctuation\">.<\/span>subplots<span class=\"token punctuation\">(<\/span>figsize<span class=\"token operator\">&#061;<\/span><span class=\"token punctuation\">(<\/span><span class=\"token number\">13<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">7<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># \u753b\u9636\u6bb5\u6761<\/span><br \/>\n<span class=\"token keyword\">for<\/span> i<span class=\"token punctuation\">,<\/span> stage <span class=\"token keyword\">in<\/span> <span class=\"token builtin\">enumerate<\/span><span class=\"token punctuation\">(<\/span>stages<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    ax<span class=\"token punctuation\">.<\/span>barh<span class=\"token punctuation\">(<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">,<\/span> stage<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;end&#034;<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token operator\">&#8211;<\/span> stage<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;start&#034;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span> left<span class=\"token operator\">&#061;<\/span>stage<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;start&#034;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span><br \/>\n            height<span class=\"token operator\">&#061;<\/span><span class=\"token number\">0.6<\/span><span class=\"token punctuation\">,<\/span> color<span class=\"token operator\">&#061;<\/span>stage<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;color&#034;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span> alpha<span class=\"token operator\">&#061;<\/span><span class=\"token number\">0.85<\/span><span class=\"token punctuation\">,<\/span><br \/>\n            edgecolor<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#039;white&#039;<\/span><span class=\"token punctuation\">,<\/span> linewidth<span class=\"token operator\">&#061;<\/span><span class=\"token number\">2<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    mid <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">(<\/span>stage<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;start&#034;<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token operator\">&#043;<\/span> stage<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;end&#034;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">\/<\/span> <span class=\"token number\">2<\/span><br \/>\n    ax<span class=\"token punctuation\">.<\/span>text<span class=\"token punctuation\">(<\/span>mid<span class=\"token punctuation\">,<\/span> <span class=\"token number\">0<\/span><span class=\"token punctuation\">,<\/span> stage<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;name&#034;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span> ha<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#039;center&#039;<\/span><span class=\"token punctuation\">,<\/span> va<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#039;center&#039;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n            fontsize<span class=\"token operator\">&#061;<\/span><span class=\"token number\">12<\/span><span class=\"token punctuation\">,<\/span> fontweight<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#039;bold&#039;<\/span><span class=\"token punctuation\">,<\/span> color<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#039;#2D3436&#039;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    ax<span class=\"token punctuation\">.<\/span>text<span class=\"token punctuation\">(<\/span>mid<span class=\"token punctuation\">,<\/span> <span class=\"token operator\">&#8211;<\/span><span class=\"token number\">0.50<\/span><span class=\"token punctuation\">,<\/span> stage<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;keywords&#034;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span> ha<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#039;center&#039;<\/span><span class=\"token punctuation\">,<\/span> va<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#039;top&#039;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n            fontsize<span class=\"token operator\">&#061;<\/span><span class=\"token number\">9<\/span><span class=\"token punctuation\">,<\/span> color<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#039;#636E72&#039;<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># \u753b\u91cc\u7a0b\u7891<\/span><br \/>\n<span class=\"token keyword\">for<\/span> year<span class=\"token punctuation\">,<\/span> event <span class=\"token keyword\">in<\/span> milestones<span class=\"token punctuation\">:<\/span><br \/>\n    y_offset <span class=\"token operator\">&#061;<\/span> year_offsets<span class=\"token punctuation\">.<\/span>get<span class=\"token punctuation\">(<\/span>year<span class=\"token punctuation\">,<\/span> <span class=\"token number\">0.75<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    ax<span class=\"token punctuation\">.<\/span>plot<span class=\"token punctuation\">(<\/span>year<span class=\"token punctuation\">,<\/span> <span class=\"token number\">0.32<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;o&#039;<\/span><span class=\"token punctuation\">,<\/span> color<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#039;#2D3436&#039;<\/span><span class=\"token punctuation\">,<\/span> markersize<span class=\"token operator\">&#061;<\/span><span class=\"token number\">8<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    ax<span class=\"token punctuation\">.<\/span>annotate<span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>year<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">\\\\n<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>event<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">,<\/span> xy<span class=\"token operator\">&#061;<\/span><span class=\"token punctuation\">(<\/span>year<span class=\"token punctuation\">,<\/span> <span class=\"token number\">0.32<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span><br \/>\n                xytext<span class=\"token operator\">&#061;<\/span><span class=\"token punctuation\">(<\/span>year<span class=\"token punctuation\">,<\/span> y_offset<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span><br \/>\n                ha<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#039;center&#039;<\/span><span class=\"token punctuation\">,<\/span> fontsize<span class=\"token operator\">&#061;<\/span><span class=\"token number\">9<\/span><span class=\"token punctuation\">,<\/span><br \/>\n                arrowprops<span class=\"token operator\">&#061;<\/span><span class=\"token builtin\">dict<\/span><span class=\"token punctuation\">(<\/span>arrowstyle<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#039;-&gt;&#039;<\/span><span class=\"token punctuation\">,<\/span> color<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#039;#B2BEC3&#039;<\/span><span class=\"token punctuation\">,<\/span> lw<span class=\"token operator\">&#061;<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>ax<span class=\"token punctuation\">.<\/span>set_xlim<span class=\"token punctuation\">(<\/span><span class=\"token number\">1945<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">2028<\/span><span class=\"token punctuation\">)<\/span><br \/>\nax<span class=\"token punctuation\">.<\/span>set_ylim<span class=\"token punctuation\">(<\/span><span class=\"token operator\">&#8211;<\/span><span class=\"token number\">0.8<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">1.25<\/span><span class=\"token punctuation\">)<\/span><br \/>\nax<span class=\"token punctuation\">.<\/span>axhline<span class=\"token punctuation\">(<\/span>y<span class=\"token operator\">&#061;<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">,<\/span> color<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#039;#B2BEC3&#039;<\/span><span class=\"token punctuation\">,<\/span> linewidth<span class=\"token operator\">&#061;<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">,<\/span> linestyle<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#039;-&#039;<\/span><span class=\"token punctuation\">)<\/span><br \/>\nax<span class=\"token punctuation\">.<\/span>set_xlabel<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#039;\u5e74\u4efd&#039;<\/span><span class=\"token punctuation\">,<\/span> fontsize<span class=\"token operator\">&#061;<\/span><span class=\"token number\">12<\/span><span class=\"token punctuation\">)<\/span><br \/>\nax<span class=\"token punctuation\">.<\/span>set_title<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#039;\u81ea\u7136\u8bed\u8a00\u5904\u7406\u6280\u672f\u53d1\u5c55\u65f6\u95f4\u7ebf&#039;<\/span><span class=\"token punctuation\">,<\/span> fontsize<span class=\"token operator\">&#061;<\/span><span class=\"token number\">15<\/span><span class=\"token punctuation\">,<\/span> pad<span class=\"token operator\">&#061;<\/span><span class=\"token number\">20<\/span><span class=\"token punctuation\">)<\/span><br \/>\nax<span class=\"token punctuation\">.<\/span>set_yticks<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span><br \/>\nax<span class=\"token punctuation\">.<\/span>spines<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;top&#039;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">.<\/span>set_visible<span class=\"token punctuation\">(<\/span><span class=\"token boolean\">False<\/span><span class=\"token punctuation\">)<\/span><br \/>\nax<span class=\"token punctuation\">.<\/span>spines<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;right&#039;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">.<\/span>set_visible<span class=\"token punctuation\">(<\/span><span class=\"token boolean\">False<\/span><span class=\"token punctuation\">)<\/span><br \/>\nax<span class=\"token punctuation\">.<\/span>spines<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;left&#039;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">.<\/span>set_visible<span class=\"token punctuation\">(<\/span><span class=\"token boolean\">False<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>plt<span class=\"token punctuation\">.<\/span>tight_layout<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>show<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>\u8fd0\u884c\u7ed3\u679c\u622a\u56fe&#xff1a;<\/p>\n<p><img decoding=\"async\" src=\"2026-09-01wxziwo5chgl.png\" alt=\"\u5b9e\u9a8c 1.4 NLP \u53d1\u5c55\u65f6\u95f4\u7ebf\" \/><\/p>\n<p>\u6548\u679c\u8bf4\u660e&#xff1a;<\/p>\n<p>\u8fd0\u884c\u540e\u4f1a\u770b\u5230\u4e00\u6761\u5f69\u8272\u65f6\u95f4\u8f74&#xff0c;\u84dd\u8272\u4ee3\u8868\u89c4\u5219\u65f6\u4ee3&#xff0c;\u7eff\u8272\u4ee3\u8868\u7edf\u8ba1\u65f6\u4ee3&#xff0c;\u9ec4\u8272\u4ee3\u8868\u795e\u7ecf\u7f51\u7edc\u65f6\u4ee3&#xff0c;\u7ea2\u8272\u4ee3\u8868\u5927\u6a21\u578b\u65f6\u4ee3\u3002\u6bcf\u4e2a\u9636\u6bb5\u7684\u4e0a\u65b9\u6807\u6ce8\u4e86\u91cc\u7a0b\u7891\u4e8b\u4ef6&#xff0c;\u8ba9\u4f60\u4e00\u773c\u770b\u6e05 NLP \u4e03\u5341\u591a\u5e74\u7684\u6f14\u8fdb\u8109\u7edc\u3002<\/p>\n<hr \/>\n<h3>\u672c\u7ae0\u5c0f\u7ed3\u4e0e\u52a8\u624b\u7ec3\u4e60<\/h3>\n<h4>\u6838\u5fc3\u6982\u5ff5\u901f\u8bb0\u5361<\/h4>\n<table>\n<tr>\u6982\u5ff5\u4e00\u53e5\u8bdd\u7406\u89e3<\/tr>\n<tbody>\n<tr>\n<td>NLP<\/td>\n<td>\u8ba9\u673a\u5668\u7406\u89e3\u3001\u751f\u6210\u4eba\u7c7b\u8bed\u8a00\u7684\u6280\u672f<\/td>\n<\/tr>\n<tr>\n<td>NLU<\/td>\n<td>\u673a\u5668\u201c\u542c\u61c2\u201d\u4eba\u8bdd<\/td>\n<\/tr>\n<tr>\n<td>NLG<\/td>\n<td>\u673a\u5668\u201c\u8bf4\u201d\u4eba\u8bdd<\/td>\n<\/tr>\n<tr>\n<td>CL<\/td>\n<td>\u8ba1\u7b97\u8bed\u8a00\u5b66&#xff0c;\u8ba1\u7b97\u673a\u79d1\u5b66\u4e0e\u8bed\u8a00\u5b66\u7684\u4ea4\u53c9\u5b66\u79d1<\/td>\n<\/tr>\n<tr>\n<td>LLM<\/td>\n<td>\u5927\u8bed\u8a00\u6a21\u578b&#xff0c;\u80fd\u5904\u7406\u591a\u79cd\u8bed\u8a00\u4efb\u52a1\u7684\u901a\u7528\u6a21\u578b<\/td>\n<\/tr>\n<tr>\n<td>\u6b67\u4e49<\/td>\n<td>\u540c\u4e00\u53e5\u8bdd\u6216\u8bcd\u6709\u591a\u79cd\u7406\u89e3\u65b9\u5f0f<\/td>\n<\/tr>\n<tr>\n<td>\u4efb\u52a1\u5c42\u7ea7<\/td>\n<td>\u5b57\u8bcd\u7ea7 \u2192 \u53e5\u5b50\u7ea7 \u2192 \u7bc7\u7ae0\u7ea7<\/td>\n<\/tr>\n<tr>\n<td>\u4efb\u52a1\u7c7b\u522b<\/td>\n<td>\u56de\u5f52\u3001\u5206\u7c7b\u3001\u5339\u914d\u3001\u89e3\u6790\u3001\u751f\u6210<\/td>\n<\/tr>\n<tr>\n<td>\u7814\u7a76\u5c42\u6b21<\/td>\n<td>\u5f62\u5f0f \u2192 \u8bed\u4e49 \u2192 \u8bed\u7528<\/td>\n<\/tr>\n<tr>\n<td>\u4e24\u5927\u8303\u5f0f<\/td>\n<td>\u7406\u6027\u4e3b\u4e49&#xff08;\u89c4\u5219&#xff09; vs \u7ecf\u9a8c\u4e3b\u4e49&#xff08;\u6570\u636e\u9a71\u52a8&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>\u8868\u793a\u6f14\u8fdb<\/td>\n<td>\u7b26\u53f7 \u2192 \u79bb\u6563\u5411\u91cf \u2192 \u8bcd\u5d4c\u5165 \u2192 \u4e0a\u4e0b\u6587\u76f8\u5173\u5411\u91cf<\/td>\n<\/tr>\n<tr>\n<td>\u65b0\u8303\u5f0f<\/td>\n<td>\u9884\u8bad\u7ec3 &#043; \u7cbe\u8c03<\/td>\n<\/tr>\n<tr>\n<td>\u5173\u952e\u6280\u672f<\/td>\n<td>\u63d0\u793a\u5de5\u7a0b\u3001\u6307\u4ee4\u5fae\u8c03\u3001RLHF<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4>\u63a8\u8350\u7ec3\u4e60<\/h4>\n<li>\u628a\u672c\u7ae0\u4ee3\u7801\u5168\u90e8\u8dd1\u4e00\u904d&#xff0c;\u628a sample_texts \u6362\u6210\u4f60\u81ea\u5df1\u7684\u670b\u53cb\u5708\/\u8bc4\u8bba&#xff0c;\u89c2\u5bdf\u5206\u8bcd\u548c\u60c5\u611f\u5206\u6790\u7ed3\u679c\u3002<\/li>\n<li>\u5c1d\u8bd5\u7ed9 jieba \u6dfb\u52a0\u81ea\u5b9a\u4e49\u8bcd\u5178&#xff08;\u6bd4\u5982\u4f60\u5b66\u6821\u7684\u540d\u5b57\u3001\u4e13\u4e1a\u672f\u8bed&#xff09;&#xff0c;\u770b\u770b\u5b9e\u4f53\u8bc6\u522b\u6548\u679c\u662f\u5426\u63d0\u5347\u3002<\/li>\n<li>\u7528\u672c\u7ae0\u7684\u6587\u672c\u5206\u7c7b\u4ee3\u7801&#xff0c;\u6536\u96c6 20 \u6761\u4f60\u611f\u5174\u8da3\u7684\u8bc4\u8bba&#xff08;\u7535\u5f71\/\u5546\u54c1\/\u9910\u5385&#xff09;&#xff0c;\u8bad\u7ec3\u4e00\u4e2a\u4f60\u81ea\u5df1\u7684\u60c5\u611f\u5206\u7c7b\u5668\u3002<\/li>\n<h4>\u5199\u5728\u6700\u540e<\/h4>\n<p>NLP \u542c\u8d77\u6765\u9ad8\u5927\u4e0a&#xff0c;\u5176\u5b9e\u5c31\u5728\u4f60\u8eab\u8fb9&#xff1a;<\/p>\n<ul>\n<li>\n<p>\u4f60\u6bcf\u5929\u7528\u7684\u8f93\u5165\u6cd5\u8054\u60f3&#xff0c;\u662f NLP&#xff1b;<\/p>\n<\/li>\n<li>\n<p>\u4f60\u95ee Siri \/ \u5c0f\u7231 \/ \u5929\u732b\u7cbe\u7075\u201c\u4eca\u5929\u5929\u6c14\u600e\u6837\u201d&#xff0c;\u662f NLP&#xff1b;<\/p>\n<\/li>\n<li>\n<p>\u4f60\u770b\u5230\u7684\u5783\u573e\u90ae\u4ef6\u8fc7\u6ee4\u3001\u6587\u7ae0\u63a8\u8350\u3001\u667a\u80fd\u5ba2\u670d&#xff0c;\u8fd8\u662f NLP\u3002<\/p>\n<\/li>\n<\/ul>\n<p>\u5b83\u5e76\u4e0d\u9065\u8fdc&#xff0c;\u5b83\u6b63\u5728\u8ba9\u673a\u5668\u4e00\u70b9\u70b9\u5b66\u4f1a\u201c\u8bf4\u4eba\u8bdd\u201d\u3002\u800c\u6211\u4eec\u8fd9\u4e00\u7ae0\u5b66\u7684&#xff0c;\u5c31\u662f\u7406\u89e3\u8fd9\u95e8\u6280\u672f\u7684\u201c\u5730\u56fe\u201d\u3002&#x1f5fa;\ufe0f<\/p>\n<hr \/>\n<p>&#x1f4cc; \u7248\u6743\u58f0\u660e&#xff1a;\u672c\u7b14\u8bb0\u4e3a\u4e2a\u4eba\u5b66\u4e60\u6574\u7406&#xff0c;\u5185\u5bb9\u53c2\u8003\u7535\u5b50\u5de5\u4e1a\u51fa\u7248\u793e\u300a\u81ea\u7136\u8bed\u8a00\u5904\u7406&#xff1a;\u57fa\u4e8e\u5927\u8bed\u8a00\u6a21\u578b\u7684\u65b9\u6cd5\u300b\u7b2c\u4e00\u7ae0&#xff0c;\u4ec5\u4f9b\u5b66\u4e60\u4ea4\u6d41\u4f7f\u7528\u3002 &#x1f4ac; \u6b22\u8fce\u4ea4\u6d41&#xff1a;\u5982\u679c\u4f60\u4e5f\u5728\u8bfb\u8fd9\u672c\u4e66&#xff0c;\u6b22\u8fce\u5728\u8bc4\u8bba\u533a\u7559\u8a00\u8ba8\u8bba&#xff5e;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u76ee\u5f55 1.1 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\u5927\u6a21\u578b\u65f6\u4ee3&amp;#x<\/p>\n","protected":false},"author":2,"featured_media":99020,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[10397,7549,2068,50,2983,224],"topic":[],"class_list":["post-99039","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-deepseek","tag-easyui","tag-nlp","tag-50","tag-2983","tag-224"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u300a\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff1a\u57fa\u4e8e\u5927\u8bed\u8a00\u6a21\u578b\u7684\u65b9\u6cd5\u300b\u7b2c1\u7ae0 \u7eea\u8bba \u8bfb\u4e66\u7b14\u8bb0 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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