{"id":77427,"date":"2026-02-24T16:57:30","date_gmt":"2026-02-24T08:57:30","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/77427.html"},"modified":"2026-02-24T16:57:30","modified_gmt":"2026-02-24T08:57:30","slug":"%e4%bb%8e0%e5%88%b01%e6%9e%84%e5%bb%ba%e7%9f%a5%e4%b9%8e%e8%af%84%e8%ae%ba%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90%e7%b3%bb%e7%bb%9f%ef%bc%9apython%e7%88%ac%e8%99%ab-%e6%83%85%e6%84%9f%e5%88%86%e6%9e%90","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/77427.html","title":{"rendered":"\u4ece0\u52301\u6784\u5efa\u77e5\u4e4e\u8bc4\u8bba\u6570\u636e\u5206\u6790\u7cfb\u7edf\uff1aPython\u722c\u866b + \u60c5\u611f\u5206\u6790 + \u6570\u636e\u7814\u7a76\u5168\u6d41\u7a0b\u5b9e\u8df5"},"content":{"rendered":"<h2>\u4ece0\u52301\u6784\u5efa\u77e5\u4e4e\u8bc4\u8bba\u6570\u636e\u5206\u6790\u7cfb\u7edf&#xff1a;Python\u722c\u866b &#043; \u60c5\u611f\u5206\u6790 &#043; \u6570\u636e\u7814\u7a76\u5168\u6d41\u7a0b\u5b9e\u8df5<\/h2>\n<p>#Python<br \/>\n#\u6570\u636e\u5206\u6790<br \/>\n#\u6570\u636e\u6316\u6398<br \/>\n#\u673a\u5668\u5b66\u4e60<br \/>\n#NLP<br \/>\n#\u722c\u866b<br \/>\n#\u60c5\u611f\u5206\u6790<br \/>\n#\u4eba\u5de5\u667a\u80fd<br \/>\n#\u9879\u76ee\u5b9e\u6218<br \/>\n#\u6570\u636e\u79d1\u5b66<\/p>\n<p>&#x1f50e; \u4e00\u6b21\u5b8c\u6574\u7684\u6570\u636e\u79d1\u5b66\u5b9e\u8df5&#xff1a;\u4ece\u6570\u636e\u83b7\u53d6 \u2192 \u6e05\u6d17 \u2192 NLP\u5206\u6790 \u2192 \u7edf\u8ba1\u5efa\u6a21 \u2192 \u81ea\u52a8\u751f\u6210\u7814\u7a76\u62a5\u544a<\/p>\n<hr \/>\n<h3>\u4e00\u3001\u4e3a\u4ec0\u4e48\u8981\u505a\u8fd9\u4e2a\u9879\u76ee&#xff1f;<\/h3>\n<p>\u5728\u6570\u636e\u5206\u6790\u4e0e\u6570\u636e\u79d1\u5b66\u5b66\u4e60\u8fc7\u7a0b\u4e2d&#xff0c;\u5f88\u591a\u4eba\u505c\u7559\u5728&#xff1a;<\/p>\n<ul>\n<li>\n<p>Kaggle\u73b0\u6210\u6570\u636e<\/p>\n<\/li>\n<li>\n<p>Excel\u5206\u6790<\/p>\n<\/li>\n<li>\n<p>\u6559\u79d1\u4e66\u6848\u4f8b<\/p>\n<\/li>\n<\/ul>\n<p>\u4f46\u771f\u5b9e\u7684\u6570\u636e\u5206\u6790\u6d41\u7a0b\u5e94\u8be5\u662f&#xff1a;<\/p>\n<p>\u6570\u636e\u83b7\u53d6 \u2192 \u6570\u636e\u6e05\u6d17 \u2192 \u7279\u5f81\u5de5\u7a0b \u2192 \u5206\u6790\u5efa\u6a21 \u2192 \u7814\u7a76\u8f93\u51fa<\/p>\n<p>\u56e0\u6b64&#xff0c;\u6211\u5c1d\u8bd5\u6784\u5efa\u4e00\u4e2a \u5b8c\u6574\u7684\u6570\u636e\u5206\u6790 Pipeline&#xff1a;<\/p>\n<p>\u2705 \u81ea\u52a8\u6293\u53d6\u77e5\u4e4e\u8bc4\u8bba<br \/>\n\u2705 \u63d0\u53d6\u7528\u6237\u884c\u4e3a\u7279\u5f81<br \/>\n\u2705 \u8fdb\u884c\u60c5\u611f\u5206\u6790<br \/>\n\u2705 \u751f\u6210\u7edf\u8ba1\u62a5\u544a\u4e0e\u7814\u7a76\u6458\u8981<\/p>\n<p>\u76ee\u6807\u4e0d\u662f\u5199\u4e00\u4e2a\u722c\u866b&#xff0c;\u800c\u662f&#xff1a;<\/p>\n<p>\u642d\u5efa\u4e00\u4e2a\u53ef\u590d\u7528\u7684\u6570\u636e\u7814\u7a76\u7cfb\u7edf\u3002<\/p>\n<hr \/>\n<h3>\u4e8c\u3001\u9879\u76ee\u6574\u4f53\u67b6\u6784\u8bbe\u8ba1<\/h3>\n<p>\u6574\u4e2a\u7cfb\u7edf\u91c7\u7528\u6a21\u5757\u5316\u8bbe\u8ba1&#xff1a;<\/p>\n<p>Zhihu API<br \/>\n\u2193<br \/>\n\u8bc4\u8bba\u91c7\u96c6\u6a21\u5757<br \/>\n\u2193<br \/>\n\u6570\u636e\u6e05\u6d17\u6a21\u5757<br \/>\n\u2193<br \/>\n\u7279\u5f81\u63d0\u53d6\u6a21\u5757<br \/>\n\u2193<br \/>\n\u60c5\u611f\u5206\u6790\u6a21\u5757<br \/>\n\u2193<br \/>\n\u7edf\u8ba1\u5206\u6790\u6a21\u5757<br \/>\n\u2193<br \/>\nCSV &#043; JSON &#043; Research Report<\/p>\n<p>\u6838\u5fc3\u601d\u60f3&#xff1a;<\/p>\n<p>\u628a\u722c\u866b\u5347\u7ea7\u4e3a\u300c\u6570\u636e\u5206\u6790\u6d41\u6c34\u7ebf\u300d\u3002<\/p>\n<hr \/>\n<h3>\u4e09\u3001\u77e5\u4e4e\u8bc4\u8bba API \u89e3\u6790<\/h3>\n<p>\u77e5\u4e4e\u8bc4\u8bba\u63a5\u53e3\u91c7\u7528\u5206\u9875\u673a\u5236&#xff1a;<\/p>\n<p>https:\/\/www.zhihu.com\/api\/v4\/comment_v5\/answers\/{answer_id}\/root_comment<\/p>\n<p>\u5173\u952e\u53c2\u6570&#xff1a;<\/p>\n<table>\n<tr>\u53c2\u6570\u4f5c\u7528<\/tr>\n<tbody>\n<tr>\n<td>limit<\/td>\n<td>\u6bcf\u9875\u6570\u91cf<\/td>\n<\/tr>\n<tr>\n<td>offset<\/td>\n<td>\u5206\u9875\u6307\u9488<\/td>\n<\/tr>\n<tr>\n<td>order_by<\/td>\n<td>\u6392\u5e8f\u65b9\u5f0f<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u5206\u9875\u4e0d\u662f page&#061;2&#xff0c;\u800c\u662f&#xff1a;<\/p>\n<p>next_url offset token<\/p>\n<p>\u56e0\u6b64\u9700\u8981\u89e3\u6790&#xff1a;<\/p>\n<p>from urllib.parse import urlparse, parse_qs<\/p>\n<p>\u8fd9\u662f\u5f88\u591a\u521d\u5b66\u8005\u5bb9\u6613\u5ffd\u7565\u7684\u90e8\u5206\u3002<\/p>\n<hr \/>\n<h3>\u56db\u3001\u6570\u636e\u91c7\u96c6\u6a21\u5757\u8bbe\u8ba1<\/h3>\n<p>\u6838\u5fc3\u51fd\u6570&#xff1a;<\/p>\n<p>def extract_comments(url, max_comments&#061;200):<\/p>\n<p>\u8bbe\u8ba1\u76ee\u6807&#xff1a;<\/p>\n<ul>\n<li>\n<p>\u81ea\u52a8\u5206\u9875<\/p>\n<\/li>\n<li>\n<p>\u5f02\u5e38\u5904\u7406<\/p>\n<\/li>\n<li>\n<p>\u9632\u6b62\u8bf7\u6c42\u8fc7\u5feb<\/p>\n<\/li>\n<li>\n<p>\u6570\u636e\u7ed3\u6784\u7edf\u4e00<\/p>\n<\/li>\n<\/ul>\n<p>\u5173\u952e\u903b\u8f91&#xff1a;<\/p>\n<p>paging &#061; json_data.get(&#039;paging&#039;, {})<br \/>\nnext_url &#061; paging.get(&#039;next&#039;, &#039;&#039;)<\/p>\n<p>\u5b9e\u73b0\u81ea\u52a8\u7ffb\u9875\u6293\u53d6\u3002<\/p>\n<hr \/>\n<h3>\u4e94\u3001\u8bc4\u8bba\u6570\u636e\u7ed3\u6784\u8bbe\u8ba1&#xff08;\u5173\u952e&#xff09;<\/h3>\n<p>\u4e3a\u4e86\u65b9\u4fbf\u540e\u7eed\u5206\u6790&#xff0c;\u6211\u4eec\u5c06\u8bc4\u8bba\u8f6c\u6362\u4e3a\u5206\u6790\u5bbd\u8868&#xff1a;<\/p>\n<p>comment_data &#061; {<br \/>\n&#039;author_name&#039;: &#8230;,<br \/>\n&#039;content&#039;: &#8230;,<br \/>\n&#039;like_count&#039;: &#8230;,<br \/>\n&#039;region&#039;: &#8230;,<br \/>\n&#039;is_hot&#039;: &#8230;,<br \/>\n&#039;author_liked&#039;: &#8230;<br \/>\n}<\/p>\n<p>\u8fd9\u6837\u53ef\u4ee5\u76f4\u63a5\u7528\u4e8e&#xff1a;<\/p>\n<ul>\n<li>\n<p>Pandas\u5206\u6790<\/p>\n<\/li>\n<li>\n<p>\u673a\u5668\u5b66\u4e60<\/p>\n<\/li>\n<li>\n<p>\u53ef\u89c6\u5316<\/p>\n<\/li>\n<li>\n<p>\u793e\u4f1a\u8ba1\u7b97\u7814\u7a76<\/p>\n<\/li>\n<\/ul>\n<hr \/>\n<h3>\u516d\u3001\u6587\u672c\u6e05\u6d17&#xff1a;\u4e3a\u4ec0\u4e48\u5fc5\u987b\u505a&#xff1f;<\/h3>\n<p>\u77e5\u4e4e\u8bc4\u8bba\u5305\u542b&#xff1a;<\/p>\n<ul>\n<li>\n<p>HTML\u6807\u7b7e<\/p>\n<\/li>\n<li>\n<p>\u8f6c\u4e49\u5b57\u7b26<\/p>\n<\/li>\n<li>\n<p>\u7a7a\u767d\u566a\u58f0<\/p>\n<\/li>\n<\/ul>\n<p>\u6e05\u6d17\u51fd\u6570&#xff1a;<\/p>\n<p>def clean_html(text):<\/p>\n<p>\u6838\u5fc3\u64cd\u4f5c&#xff1a;<\/p>\n<ul>\n<li>\n<p>\u53bbHTML\u6807\u7b7e<\/p>\n<\/li>\n<li>\n<p>\u5904\u7406HTML\u5b9e\u4f53<\/p>\n<\/li>\n<li>\n<p>\u6807\u51c6\u5316\u7a7a\u683c<\/p>\n<\/li>\n<\/ul>\n<p>\u5426\u5219\u60c5\u611f\u5206\u6790\u7ed3\u679c\u4f1a\u4e25\u91cd\u504f\u5dee\u3002<\/p>\n<hr \/>\n<h3>\u4e03\u3001\u60c5\u611f\u5206\u6790&#xff1a;\u4ece\u89c4\u5219\u5230NLP<\/h3>\n<p>\u672c\u9879\u76ee\u91c7\u7528\u8f7b\u91cf\u7ea7\u5173\u952e\u8bcd\u60c5\u611f\u5206\u6790&#xff1a;<\/p>\n<p>positive_keywords &#061; [&#039;\u597d&#039;,&#039;\u559c\u6b22&#039;,&#039;\u652f\u6301&#039;]<br \/>\nnegative_keywords &#061; [&#039;\u4e0d\u597d&#039;,&#039;\u5371\u9669&#039;,&#039;\u9ebb\u70e6&#039;]<\/p>\n<p>\u8ba1\u7b97&#xff1a;<\/p>\n<p>sentiment_score &#061; positive &#8211; negative<\/p>\n<p>\u5f97\u5230&#xff1a;<\/p>\n<ul>\n<li>\n<p>positive<\/p>\n<\/li>\n<li>\n<p>negative<\/p>\n<\/li>\n<li>\n<p>neutral<\/p>\n<\/li>\n<\/ul>\n<p>\u8fd9\u79cd\u65b9\u6cd5\u4f18\u70b9&#xff1a;<\/p>\n<p>\u2705 \u5feb\u901f<br \/>\n\u2705 \u53ef\u89e3\u91ca<br \/>\n\u2705 \u65e0\u9700\u8bad\u7ec3\u6570\u636e<\/p>\n<p>\u9002\u7528\u4e8e\u63a2\u7d22\u6027\u7814\u7a76&#xff08;EDA&#xff09;\u3002<\/p>\n<hr \/>\n<h3>\u516b\u3001\u7edf\u8ba1\u5206\u6790\u6a21\u5757<\/h3>\n<p>\u4f7f\u7528 Pandas \u81ea\u52a8\u751f\u6210\u7edf\u8ba1\u6307\u6807&#xff1a;<\/p>\n<p>stats &#061; {<br \/>\n&#039;avg_likes&#039;: df[&#039;like_count&#039;].mean(),<br \/>\n&#039;top_regions&#039;: df[&#039;region&#039;].value_counts(),<br \/>\n}<\/p>\n<p>\u5f97\u5230&#xff1a;<\/p>\n<ul>\n<li>\n<p>\u5e73\u5747\u70b9\u8d5e\u6570<\/p>\n<\/li>\n<li>\n<p>\u5730\u57df\u5206\u5e03<\/p>\n<\/li>\n<li>\n<p>\u60c5\u611f\u5360\u6bd4<\/p>\n<\/li>\n<li>\n<p>\u70ed\u8bc4\u6bd4\u4f8b<\/p>\n<\/li>\n<li>\n<p>\u6027\u522b\u5206\u5e03<\/p>\n<\/li>\n<\/ul>\n<p>\u672c\u8d28\u4e0a\u5c5e\u4e8e&#xff1a;<\/p>\n<p>\u7528\u6237\u884c\u4e3a\u6570\u636e\u5206\u6790&#xff08;User Behavior Analytics&#xff09;<\/p>\n<hr \/>\n<h3>\u4e5d\u3001\u81ea\u52a8\u751f\u6210\u7814\u7a76\u6458\u8981&#xff08;\u6838\u5fc3\u4eae\u70b9&#xff09;<\/h3>\n<p>\u9879\u76ee\u81ea\u52a8\u751f\u6210\u7814\u7a76\u62a5\u544a&#xff1a;<\/p>\n<p>research_summary &#061; f&#034;&#034;&#034;<br \/>\n# \u77e5\u4e4e\u8bc4\u8bba\u5b66\u672f\u7814\u7a76\u6458\u8981<br \/>\n&#034;&#034;&#034;<\/p>\n<p>\u81ea\u52a8\u8f93\u51fa&#xff1a;<\/p>\n<ul>\n<li>\n<p>\u6570\u636e\u89c4\u6a21<\/p>\n<\/li>\n<li>\n<p>\u60c5\u611f\u5206\u5e03<\/p>\n<\/li>\n<li>\n<p>\u5730\u57df\u7279\u5f81<\/p>\n<\/li>\n<li>\n<p>\u7814\u7a76\u4ef7\u503c<\/p>\n<\/li>\n<\/ul>\n<p>\u8fd9\u4e00\u6b65\u8ba9\u9879\u76ee\u4ece&#xff1a;<\/p>\n<p>\u811a\u672c \u2192 \u6570\u636e\u7814\u7a76\u5de5\u5177<\/p>\n<hr \/>\n<h3>\u5341\u3001\u6700\u7ec8\u8f93\u51fa\u7ed3\u679c<\/h3>\n<p>\u7a0b\u5e8f\u81ea\u52a8\u751f\u6210&#xff1a;<\/p>\n<p>data\/<br \/>\n\u251c\u2500\u2500 zhihu_comments_analysis.csv<br \/>\n\u251c\u2500\u2500 statistics.json<br \/>\n\u2514\u2500\u2500 research_summary.txt<\/p>\n<p>\u5b9e\u73b0&#xff1a;<\/p>\n<p>\u4e00\u952e\u5b8c\u6210\u6570\u636e\u7814\u7a76\u6d41\u7a0b\u3002<\/p>\n<hr \/>\n<h3>\u5341\u4e00\u3001\u9879\u76ee\u53ef\u4ee5\u5982\u4f55\u6269\u5c55&#xff1f;<\/h3>\n<p>\u672a\u6765\u5347\u7ea7\u65b9\u5411&#xff1a;<\/p>\n<h4>1\ufe0f\u20e3 \u6df1\u5ea6\u5b66\u4e60\u60c5\u611f\u5206\u6790<\/h4>\n<p>\u4f7f\u7528&#xff1a;<\/p>\n<p>transformers &#043; \u4e2d\u6587BERT<\/p>\n<hr \/>\n<h4>2\ufe0f\u20e3 \u8bc4\u8bba\u4e3b\u9898\u5efa\u6a21<\/h4>\n<p>LDA Topic Modeling&#xff1a;<\/p>\n<p>gensim<\/p>\n<p>\u5206\u6790\u7528\u6237\u5173\u6ce8\u70b9\u3002<\/p>\n<hr \/>\n<h4>3\ufe0f\u20e3 \u53ef\u89c6\u5316\u4eea\u8868\u76d8<\/h4>\n<p>\u7ed3\u5408&#xff1a;<\/p>\n<ul>\n<li>\n<p>Streamlit<\/p>\n<\/li>\n<li>\n<p>Plotly<\/p>\n<\/li>\n<\/ul>\n<p>\u6784\u5efa\u4ea4\u4e92\u5206\u6790\u7cfb\u7edf\u3002<\/p>\n<hr \/>\n<h3>\u5341\u4e8c\u3001\u9879\u76ee\u603b\u7ed3<\/h3>\n<p>\u8fd9\u4e2a\u9879\u76ee\u8ba9\u6211\u771f\u6b63\u7406\u89e3&#xff1a;<\/p>\n<p>\u6570\u636e\u79d1\u5b66\u4e0d\u53ea\u662f\u5efa\u6a21&#xff0c;\u800c\u662f\u5b8c\u6574\u7684\u6570\u636e\u751f\u547d\u5468\u671f\u7ba1\u7406\u3002<\/p>\n<p>\u5b8c\u6574\u6d41\u7a0b&#xff1a;<\/p>\n<p>\u6570\u636e\u83b7\u53d6 \u2192 \u6570\u636e\u5de5\u7a0b \u2192 NLP\u5206\u6790 \u2192 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