{"id":2047,"date":"2026-05-11T21:24:12","date_gmt":"2026-05-11T13:24:12","guid":{"rendered":"https:\/\/dianshudata.com\/story\/2026\/05\/11\/wechat-viral-article-analysis-python\/"},"modified":"2026-05-11T21:24:14","modified_gmt":"2026-05-11T13:24:14","slug":"wechat-viral-article-analysis-python","status":"publish","type":"post","link":"https:\/\/dianshudata.com\/story\/2026\/05\/11\/wechat-viral-article-analysis-python\/","title":{"rendered":"Python\u6570\u636e\u5206\u6790\u5b9e\u6218\uff1a\u4ece10\u4e07\u7bc7\u5fae\u4fe1\u516c\u4f17\u53f7\u6587\u7ae0\u4e2d\u6316\u6398\u516c\u4f17\u53f7\u7684\u201c\u7206\u6b3e\u57fa\u56e0\u201d\uff08\u9644\u5b8c\u6574\u4ee3\u7801\uff09\u200b"},"content":{"rendered":"<p>\u6458\u8981 \uff1a\u672c\u6587\u57fa\u4e8e\u4e00\u4efd10\u4e07\u6761\u7684\u5fae\u4fe1\u516c\u4f17\u53f7\u6587\u7ae0\u6570\u636e\u96c6\uff0c\u5c1d\u8bd5\u8fd0\u7528\u6570\u636e\u79d1\u5b66\u65b9\u6cd5\u6316\u6398\u7206\u6b3e\u5185\u5bb9\u7684\u6f5c\u5728\u89c4\u5f8b\uff0c\u5e76\u63a2\u7d22\u6784\u5efa\u4e00\u4e2a\u53ef\u91cf\u5316\u7684\u7206\u6b3e\u6807\u9898\u751f\u6210\u601d\u8def\u3002\u200b\u200b\u9700\u8981\u7279\u522b\u8bf4\u660e\u7684\u662f\uff0c\u672c\u6587\u7684\u6240\u6709\u7ed3\u8bba\u548c\u6a21\u578b\u5747\u6e90\u4e8e\u5bf9\u8fd910\u4e07\u6761\u7279\u5b9a\u6570\u636e\u7684\u5206\u6790\uff0c&#8230;<\/p>\n<h1>Python\u6570\u636e\u5206\u6790\u5b9e\u6218\uff1a\u4ece10\u4e07\u7bc7\u5fae\u4fe1\u516c\u4f17\u53f7\u6587\u7ae0\u4e2d\u6316\u6398\u516c\u4f17\u53f7\u7684\u201c\u7206\u6b3e\u57fa\u56e0\u201d\uff08\u9644\u5b8c\u6574\u4ee3\u7801\uff09\u200b<\/h1>\n<blockquote>\n<p><strong>\u6458\u8981<\/strong> \uff1a\u672c\u6587\u57fa\u4e8e\u4e00\u4efd10\u4e07\u6761\u7684\u5fae\u4fe1\u516c\u4f17\u53f7\u6587\u7ae0\u6570\u636e\u96c6\uff0c\u5c1d\u8bd5\u8fd0\u7528\u6570\u636e\u79d1\u5b66\u65b9\u6cd5\u6316\u6398\u7206\u6b3e\u5185\u5bb9\u7684\u6f5c\u5728\u89c4\u5f8b\uff0c\u5e76\u63a2\u7d22\u6784\u5efa\u4e00\u4e2a\u53ef\u91cf\u5316\u7684\u7206\u6b3e\u6807\u9898\u751f\u6210\u601d\u8def\u3002\u200b\u200b\u9700\u8981\u7279\u522b\u8bf4\u660e\u7684\u662f\uff0c\u672c\u6587\u7684\u6240\u6709\u7ed3\u8bba\u548c\u6a21\u578b\u5747\u6e90\u4e8e\u5bf9\u8fd910\u4e07\u6761\u7279\u5b9a\u6570\u636e\u7684\u5206\u6790\uff0c\u5176\u666e\u9002\u6027\u53ef\u80fd\u5b58\u5728\u5c40\u9650\uff0c\u5206\u6790\u7ed3\u679c\u4ec5\u4f9b\u53c2\u8003\u3002\u200b\u200b \u672c\u6587\u7684\u6838\u5fc3\u76ee\u7684\u66f4\u4fa7\u91cd\u4e8e\u5b8c\u6574\u5730\u5c55\u793a\u4ece\u6570\u636e\u51c6\u5907\u3001\u7279\u5f81\u5de5\u7a0b\u5230\u7edf\u8ba1\u5206\u6790\u3001\u673a\u5668\u5b66\u4e60\u5efa\u6a21\u7684\u5168\u8fc7\u7a0b\uff0c\u5206\u4eab\u4e00\u79cd\u6570\u636e\u9a71\u52a8\u5185\u5bb9\u521b\u4f5c\u7684\u5206\u6790\u65b9\u6cd5\u548c\u601d\u8def\uff0c\u800c\u975e\u63d0\u4f9b\u4e00\u4e2a\u653e\u4e4b\u56db\u6d77\u800c\u7686\u51c6\u7684\u201c\u7206\u6b3e\u5b9a\u5f8b\u201d\u3002<\/p>\n<h3>\u53c2\u8003\u6570\u636e\uff1a<a href=\"https:\/\/dianshudata.com\/dataDetail\/13739\">10\u4e07\u6761\u5fae\u4fe1\u516c\u4f17\u53f7\u6570\u636e\u96c6<\/a><\/h3>\n<\/blockquote>\n<h3>\u5f15\u8a00\uff1a\u4ece\u95ee\u9898\u51fa\u53d1<\/h3>\n<p>\u5728\u4fe1\u606f\u8fc7\u8f7d\u7684\u65f6\u4ee3\uff0c\u6bcf\u4e2a\u516c\u4f17\u53f7\u8fd0\u8425\u8005\u90fd\u9762\u4e34\u7740\u4e00\u4e2a\u6838\u5fc3\u75db\u70b9\uff1a <strong>\u4ec0\u4e48\u6837\u7684\u5185\u5bb9\u624d\u80fd\u771f\u6b63\u6293\u4f4f\u8bfb\u8005\uff0c\u83b7\u5f97\u4f20\u64ad\uff1f<\/strong><\/p>\n<p>\u6bcf\u5929\uff0c\u6570\u4ee5\u4e07\u8ba1\u7684\u6587\u7ae0\u5728\u5fae\u4fe1\u516c\u4f17\u53f7\u5e73\u53f0\u4e0a\u53d1\u5e03\uff0c\u4f46\u53ea\u6709\u6781\u5c11\u6570\u80fd\u591f\u7a81\u7834\u4fe1\u606f\u8327\u623f\uff0c\u5b9e\u73b0\u771f\u6b63\u7684\u75c5\u6bd2\u5f0f\u4f20\u64ad\u3002\u90a3\u4e9b10\u4e07+\u9605\u8bfb\u91cf\u7684\u7206\u6b3e\u6587\u7ae0\u80cc\u540e\uff0c\u662f\u5426\u9690\u85cf\u7740\u67d0\u79cd\u53ef\u590d\u5236\u7684\u89c4\u5f8b\uff1f<\/p>\n<p>\u4e3a\u4e86\u56de\u7b54\u8fd9\u4e2a\u95ee\u9898\uff0c\u6211\u6df1\u5165\u5206\u6790\u4e86\u4e00\u4e2a\u5305\u542b <strong>10\u4e07\u6761\u5fae\u4fe1\u516c\u4f17\u53f7\u6587\u7ae0<\/strong> \u7684\u5927\u578b\u6570\u636e\u96c6\u3002\u8fd9\u4e2a\u6570\u636e\u96c6\u6db5\u76d6\u4e86\u6807\u9898\u3001\u6b63\u6587\u5185\u5bb9\u3001\u53d1\u5e03\u65f6\u95f4\u3001\u7528\u6237\u4e92\u52a8\u7b49\u5173\u952e\u5b57\u6bb5\uff0c\u4e3a\u6211\u4eec\u63d0\u4f9b\u4e86\u4e00\u4e2a\u96be\u5f97\u7684\u5168\u666f\u89c6\u89d2\u6765\u89c2\u5bdf\u5185\u5bb9\u4f20\u64ad\u7684\u89c4\u5f8b\u3002<\/p>\n<p><strong>\u672c\u6587\u76ee\u6807\uff1a\u4e0d\u4f9d\u8d56\u5916\u90e8\u70ed\u70b9\uff0c\u4ec5\u4ece\u6570\u636e\u5185\u90e8\u51fa\u53d1\uff0c\u63ed\u793a\u5185\u5bb9\u4f20\u64ad\u7684\u666e\u9002\u6027\u89c4\u5f8b\u3002<\/strong><\/p>\n<hr \/>\n<h3>\u7b2c\u4e00\u90e8\u5206\uff1a\u6570\u636e\u51c6\u5907\u4e0e\u4f20\u64ad\u529b\u5b9a\u4e49<\/h3>\n<h4>\u91cd\u65b0\u5b9a\u4e49&#8221;\u4f20\u64ad\u529b&#8221;<\/h4>\n<p>\u4f20\u7edf\u7684\u4f20\u64ad\u529b\u8bc4\u4f30\u5f80\u5f80\u53ea\u5173\u6ce8\u9605\u8bfb\u91cf\uff0c\u4f46\u8fd9\u5ffd\u7565\u4e86\u8bfb\u8005\u7684\u6df1\u5ea6\u53c2\u4e0e\u3002\u6211\u4eec\u6784\u5efa\u4e86\u4e00\u4e2a\u66f4\u5168\u9762\u7684\u4f20\u64ad\u529b\u8bc4\u4f30\u4f53\u7cfb\uff0c\u7efc\u5408\u8003\u8651\uff1a<\/p>\n<ul>\n<li><strong>\u5185\u5bb9\u8d28\u91cf\u6307\u6807<\/strong> \uff1a\u6807\u9898\u957f\u5ea6\u3001\u5185\u5bb9\u957f\u5ea6\u7684\u5408\u7406\u6027<\/li>\n<li><strong>\u60c5\u611f\u5f3a\u5ea6\u6307\u6807<\/strong> \uff1a\u5185\u5bb9\u7684\u60c5\u611f\u8868\u8fbe\u5f3a\u5ea6<\/li>\n<li><strong>\u5185\u5bb9\u4e30\u5bcc\u5ea6\u6307\u6807<\/strong> \uff1a\u662f\u5426\u5305\u542b\u56fe\u7247\u7b49\u591a\u5a92\u4f53\u5143\u7d20<\/li>\n<li><strong>\u5185\u5bb9\u5904\u7406\u8d28\u91cf<\/strong> \uff1a\u662f\u5426\u7ecf\u8fc7\u4e13\u4e1a\u5904\u7406<\/li>\n<\/ul>\n<p>\u57fa\u4e8e\u8fd9\u4e9b\u7ef4\u5ea6\uff0c\u6211\u4eec\u4e3a\u6bcf\u7bc7\u6587\u7ae0\u8ba1\u7b97\u4e86\u4e00\u4e2a0-100\u5206\u7684\u7efc\u5408\u4f20\u64ad\u529b\u6307\u6807\u3002<\/p>\n<h4>\u4f20\u64ad\u529b\u6307\u6807\u6784\u5efa\u4ee3\u7801<\/h4>\n<pre><code>import pandas as pd\nimport numpy as np\n\ndef calculate_engagement_score(row):\n    \"\"\"\u8ba1\u7b97\u7efc\u5408\u4f20\u64ad\u529b\u6307\u6807\"\"\"\n    score = 0\n\n    # \u6807\u9898\u957f\u5ea6\u9002\u4e2d\uff0820-50\u5b57\u7b26\uff09\u5f97\u9ad8\u5206\n    if 20 &lt;= row['title_length'] &lt;= 50:\n        score += 2\n    elif 10 &lt;= row['title_length'] &lt;= 60:\n        score += 1\n\n    # \u5185\u5bb9\u957f\u5ea6\u9002\u4e2d\uff08500-3000\u5b57\u7b26\uff09\u5f97\u9ad8\u5206\n    if 500 &lt;= row['content_length'] &lt;= 3000:\n        score += 2\n    elif 200 &lt;= row['content_length'] &lt;= 5000:\n        score += 1\n\n    # \u60c5\u611f\u5f3a\u5ea6\u52a0\u5206\n    if row['sentiment_score'] &gt; 0:\n        score += 1\n\n    # \u6709\u56fe\u7247\u5185\u5bb9\u52a0\u5206\n    if row['has_images']:\n        score += 1\n\n    # \u6709OCR\u5904\u7406\u52a0\u5206\uff08\u8bf4\u660e\u5185\u5bb9\u8d28\u91cf\u8f83\u9ad8\uff09\n    if row['has_ocr']:\n        score += 1\n\n    return score\n\n# \u5e94\u7528\u4f20\u64ad\u529b\u8ba1\u7b97\u51fd\u6570\ndf['engagement_score'] = df.apply(calculate_engagement_score, axis=1)\n\n# \u6807\u51c6\u5316\u4f20\u64ad\u529b\u6307\u6807\uff080-100\u5206\uff09\ndf['engagement_rate'] = (df['engagement_score'] \/ df['engagement_score'].max()) * 100\n\n# \u5b9a\u4e49\u9ad8\u4f20\u64ad\u529b\u6587\u7ae0\uff08\u524d20%\uff09\nthreshold = df['engagement_rate'].quantile(0.8)\ndf_high = df[df['engagement_rate'] &gt;= threshold]\ndf_low = df[df['engagement_rate'] &lt; threshold]\n<\/code><\/pre>\n<p><strong>\u4ee3\u7801\u8bf4\u660e<\/strong> \uff1a<\/p>\n<ul>\n<li>\u901a\u8fc7\u591a\u7ef4\u5ea6\u8bc4\u4f30\u6784\u5efa\u7efc\u5408\u4f20\u64ad\u529b\u6307\u6807<\/li>\n<li>\u8003\u8651\u6807\u9898\u957f\u5ea6\u3001\u5185\u5bb9\u957f\u5ea6\u3001\u60c5\u611f\u5f3a\u5ea6\u3001\u591a\u5a92\u4f53\u7b49\u56e0\u7d20<\/li>\n<li>\u4f7f\u7528\u5206\u4f4d\u6570\u65b9\u6cd5\u5b9a\u4e49\u9ad8\u4f20\u64ad\u529b\u6587\u7ae0\u6807\u51c6<\/li>\n<\/ul>\n<h4>\u4f20\u64ad\u529b\u5206\u5e03\u7279\u5f81<\/h4>\n<p><img decoding=\"async\" alt=\"\u8bf7\u6dfb\u52a0\u56fe\u7247\u63cf\u8ff0\" src=\"https:\/\/wp.dianshudata.com\/story\/wp-content\/uploads\/2026\/05\/img-6b5ed05b-scaled.png\" \/><\/p>\n<p>\u4ece\u4f20\u64ad\u529b\u5206\u5e03\u56fe\u53ef\u4ee5\u770b\u51fa\uff0c\u5927\u90e8\u5206\u6587\u7ae0\u7684\u4f20\u64ad\u529b\u96c6\u4e2d\u5728\u4e2d\u7b49\u6c34\u5e73\uff0c\u53ea\u6709\u7ea620%\u7684\u6587\u7ae0\u8fbe\u5230\u4e86\u9ad8\u4f20\u64ad\u529b\u6807\u51c6\uff0880\u5206\u4ee5\u4e0a\uff09\u3002\u8fd9\u79cd\u5206\u5e03\u7b26\u5408&#8221;\u4e8c\u516b\u5b9a\u5f8b&#8221;\uff0c\u5373\u5c11\u6570\u4f18\u8d28\u5185\u5bb9\u83b7\u5f97\u4e86\u5927\u90e8\u5206\u4f20\u64ad\u6548\u679c\u3002<\/p>\n<hr \/>\n<h3>\u7b2c\u4e8c\u90e8\u5206\uff1a\u5185\u5bb9\u8d8b\u52bf\u4e0e\u8bdd\u9898\u6d1e\u5bdf<\/h3>\n<h4>\u8bdd\u9898\u805a\u7c7b\u53d1\u73b0<\/h4>\n<p>\u901a\u8fc7LDA\uff08\u6f5c\u5728\u72c4\u5229\u514b\u96f7\u5206\u914d\uff09\u6a21\u578b\u5206\u6790\uff0c\u6211\u4eec\u53d1\u73b0\u4e8610\u4e07\u7bc7\u6587\u7ae0\u4e2d\u7684\u4e3b\u8981\u8bdd\u9898\u7c7b\u522b\uff1a<\/p>\n<ol>\n<li><strong>\u804c\u573a\u6280\u80fd\u7c7b<\/strong> \uff0825%\uff09\uff1a\u804c\u4e1a\u53d1\u5c55\u3001\u5de5\u4f5c\u6280\u5de7\u3001\u804c\u573a\u6c9f\u901a<\/li>\n<li><strong>\u60c5\u611f\u751f\u6d3b\u7c7b<\/strong> \uff0820%\uff09\uff1a\u60c5\u611f\u6545\u4e8b\u3001\u751f\u6d3b\u611f\u609f\u3001\u4eba\u9645\u5173\u7cfb<\/li>\n<li><strong>\u5065\u5eb7\u517b\u751f\u7c7b<\/strong> \uff0818%\uff09\uff1a\u5065\u5eb7\u77e5\u8bc6\u3001\u517b\u751f\u65b9\u6cd5\u3001\u75be\u75c5\u9884\u9632<\/li>\n<li><strong>\u79d1\u6280\u524d\u6cbf\u7c7b<\/strong> \uff0815%\uff09\uff1a\u79d1\u6280\u8d44\u8baf\u3001\u4ea7\u54c1\u8bc4\u6d4b\u3001\u6280\u672f\u8d8b\u52bf<\/li>\n<li><strong>\u6559\u80b2\u5b66\u4e60\u7c7b<\/strong> \uff0812%\uff09\uff1a\u5b66\u4e60\u65b9\u6cd5\u3001\u6559\u80b2\u7406\u5ff5\u3001\u77e5\u8bc6\u5206\u4eab<\/li>\n<li><strong>\u8d22\u7ecf\u7406\u8d22\u7c7b<\/strong> \uff0810%\uff09\uff1a\u6295\u8d44\u7406\u8d22\u3001\u7ecf\u6d4e\u5206\u6790\u3001\u8d22\u5bcc\u7ba1\u7406<\/li>\n<\/ol>\n<h4>LDA\u8bdd\u9898\u5efa\u6a21\u4ee3\u7801<\/h4>\n<pre><code>from sklearn.feature_extraction.text import TfidfVectorizer\nfrom sklearn.decomposition import LatentDirichletAllocation as LDA\nimport jieba\n\ndef preprocess_text(text):\n    \"\"\"\u6587\u672c\u9884\u5904\u7406\uff1a\u6e05\u6d17\u548c\u5206\u8bcd\"\"\"\n    if pd.isna(text) or text == '':\n        return ''\n\n    # \u53bb\u9664HTML\u6807\u7b7e\u548c\u7279\u6b8a\u5b57\u7b26\n    import re\n    text = re.sub(r'&lt;[^&gt;]+&gt;', '', str(text))\n    text = re.sub(r'[^\\u4e00-\\u9fa5a-zA-Z0-9]', ' ', text)\n\n    # \u4f7f\u7528jieba\u5206\u8bcd\n    words = jieba.cut(text)\n\n    # \u8fc7\u6ee4\u505c\u7528\u8bcd\u548c\u77ed\u8bcd\n    stop_words = {'\u7684', '\u4e86', '\u662f', '\u5728', '\u6709', '\u548c', '\u5c31', '\u90fd', '\u800c', '\u53ca', '\u4e0e', '\u6216', '\u7b49'}\n    words = [word for word in words if len(word) &gt; 1 and word not in stop_words]\n\n    return ' '.join(words)\n\n# \u6587\u672c\u9884\u5904\u7406\ndf['processed_content'] = df['content'].apply(preprocess_text)\ndf['processed_title'] = df['title'].apply(preprocess_text)\n\n# \u4f7f\u7528TF-IDF\u5411\u91cf\u5316\ntfidf = TfidfVectorizer(\n    max_features=2000,    # \u6700\u5927\u7279\u5f81\u6570\n    min_df=5,            # \u8bcd\u9891\u81f3\u5c11\u51fa\u73b05\u6b21\n    max_df=0.8,          # \u8bcd\u9891\u6700\u591a\u51fa\u73b0\u572880%\u7684\u6587\u6863\u4e2d\n    ngram_range=(1, 2)   # \u5305\u542b1-gram\u548c2-gram\n)\n\n# \u7ed3\u5408\u6807\u9898\u548c\u5185\u5bb9\u8fdb\u884c\u5411\u91cf\u5316\ncombined_text = df['processed_title'] + ' ' + df['processed_content']\ndtm = tfidf.fit_transform(combined_text)\n\n# LDA\u8bdd\u9898\u5efa\u6a21\nlda = LDA(n_components=6, random_state=42, max_iter=100)\nlda.fit(dtm)\n\n# \u83b7\u53d6\u6bcf\u4e2a\u8bdd\u9898\u7684\u5173\u952e\u8bcd\nfeature_names = tfidf.get_feature_names_out()\nfor topic_idx, topic in enumerate(lda.components_):\n    top_words_idx = topic.argsort()[-10:][::-1]\n    top_words = [feature_names[i] for i in top_words_idx]\n    print(f\"\u8bdd\u9898 {topic_idx + 1}: {', '.join(top_words)}\")\n<\/code><\/pre>\n<p><strong>\u4ee3\u7801\u8bf4\u660e<\/strong> \uff1a<\/p>\n<ul>\n<li>\u4f7f\u7528jieba\u8fdb\u884c\u4e2d\u6587\u5206\u8bcd\u548c\u505c\u7528\u8bcd\u8fc7\u6ee4<\/li>\n<li>TF-IDF\u5411\u91cf\u5316\u63d0\u53d6\u6587\u672c\u7279\u5f81<\/li>\n<li>LDA\u6a21\u578b\u81ea\u52a8\u53d1\u73b0\u9690\u85cf\u7684\u8bdd\u9898\u7ed3\u6784<\/li>\n<li>\u901a\u8fc7\u5173\u952e\u8bcd\u5206\u6790\u7406\u89e3\u6bcf\u4e2a\u8bdd\u9898\u7684\u4e3b\u9898<\/li>\n<\/ul>\n<h4>\u8bdd\u9898\u4f20\u64ad\u529b\u5bf9\u6bd4<\/h4>\n<p><img decoding=\"async\" alt=\"\u8bf7\u6dfb\u52a0\u56fe\u7247\u63cf\u8ff0\" src=\"https:\/\/wp.dianshudata.com\/story\/wp-content\/uploads\/2026\/05\/img-d84f3901-scaled.png\" \/><\/p>\n<p><strong>\u5173\u952e\u53d1\u73b0\uff1a<\/strong><\/p>\n<ul>\n<li><strong>\u804c\u573a\u6280\u80fd\u7c7b<\/strong> \u5185\u5bb9\u4f20\u64ad\u529b\u6700\u9ad8\uff0c\u5e73\u5747\u4f20\u64ad\u529b\u8fbe\u523075\u5206<\/li>\n<li><strong>\u60c5\u611f\u751f\u6d3b\u7c7b<\/strong> \u5185\u5bb9\u7d27\u968f\u5176\u540e\uff0c\u5e73\u5747\u4f20\u64ad\u529b72\u5206<\/li>\n<li><strong>\u5065\u5eb7\u517b\u751f\u7c7b<\/strong> \u5185\u5bb9\u4f20\u64ad\u529b\u7a33\u5b9a\uff0c\u5e73\u5747\u4f20\u64ad\u529b68\u5206<\/li>\n<li><strong>\u79d1\u6280\u524d\u6cbf\u7c7b<\/strong> \u5185\u5bb9\u4f20\u64ad\u529b\u6ce2\u52a8\u8f83\u5927\uff0c\u5e73\u5747\u4f20\u64ad\u529b65\u5206<\/li>\n<\/ul>\n<h4>\u9ad8\u4f20\u64ad\u529b\u8bdd\u9898\u7279\u5f81\u5206\u6790<\/h4>\n<p><img decoding=\"async\" alt=\"\u8bf7\u6dfb\u52a0\u56fe\u7247\u63cf\u8ff0\" src=\"https:\/\/wp.dianshudata.com\/story\/wp-content\/uploads\/2026\/05\/img-6ea83199-scaled.png\" \/><br \/>\n\u901a\u8fc7\u5206\u6790\u53d1\u73b0\uff0c\u9ad8\u4f20\u64ad\u529b\u8bdd\u9898\u5177\u6709\u4ee5\u4e0b\u5171\u540c\u7279\u5f81\uff1a<\/p>\n<ul>\n<li><strong>\u5b9e\u7528\u6027\u5f3a<\/strong> \uff1a\u80fd\u591f\u63d0\u4f9b\u5177\u4f53\u53ef\u64cd\u4f5c\u7684\u5efa\u8bae<\/li>\n<li><strong>\u60c5\u611f\u5171\u9e23<\/strong> \uff1a\u80fd\u591f\u5f15\u53d1\u8bfb\u8005\u5f3a\u70c8\u7684\u60c5\u611f\u53cd\u5e94<\/li>\n<li><strong>\u65f6\u6548\u6027\u4f73<\/strong> \uff1a\u4e0e\u5f53\u4e0b\u70ed\u70b9\u6216\u8d8b\u52bf\u76f8\u5173<\/li>\n<li><strong>\u95e8\u69db\u9002\u4e2d<\/strong> \uff1a\u65e2\u4e0d\u8fc7\u4e8e\u4e13\u4e1a\u4e5f\u4e0d\u8fc7\u4e8e\u7b80\u5355<\/li>\n<\/ul>\n<hr \/>\n<h3>\u7b2c\u4e09\u90e8\u5206\uff1a\u60c5\u7eea\u7ecf\u6d4e\u5b66\u2014\u2014\u54ea\u79cd\u60c5\u7eea\u66f4\u53d7\u6b22\u8fce\uff1f<\/h3>\n<h4>\u60c5\u611f\u5206\u6790\u7ed3\u679c<\/h4>\n<p>\u901a\u8fc7\u5bf910\u4e07\u7bc7\u6587\u7ae0\u8fdb\u884c\u60c5\u611f\u5206\u6790\uff0c\u6211\u4eec\u53d1\u73b0\u4e86\u4e00\u4e2a\u4ee4\u4eba\u60ca\u8bb6\u7684\u89c4\u5f8b\uff1a <strong>\u60c5\u611f\u4e24\u6781\u5206\u5316\u6548\u5e94<\/strong> \u3002<\/p>\n<h4>\u60c5\u611f\u5206\u6790\u4ee3\u7801<\/h4>\n<pre><code>from snownlp import SnowNLP\nimport numpy as np\n\ndef analyze_sentiment(text):\n    \"\"\"\u4f7f\u7528SnowNLP\u8fdb\u884c\u60c5\u611f\u5206\u6790\"\"\"\n    if pd.isna(text) or text == '':\n        return 0.5  # \u4e2d\u6027\u60c5\u611f\n\n    try:\n        s = SnowNLP(str(text))\n        return s.sentiments  # \u8fd4\u56de0-1\u4e4b\u95f4\u7684\u60c5\u611f\u5206\u6570\uff0c0.5\u4e3a\u4e2d\u6027\n    except:\n        return 0.5\n\ndef analyze_emotion_intensity(text):\n    \"\"\"\u5206\u6790\u60c5\u611f\u5f3a\u5ea6\"\"\"\n    if pd.isna(text) or text == '':\n        return 0\n\n    # \u79ef\u6781\u60c5\u611f\u8bcd\u6c47\n    positive_words = ['\u597d', '\u68d2', '\u4f18\u79c0', '\u5b8c\u7f8e', '\u6210\u529f', '\u80dc\u5229', '\u5feb\u4e50', '\u5e78\u798f', '\u6ee1\u610f', '\u8d5e', '\u5389\u5bb3', '\u725b', '\u5f3a', '\u68d2\u6781\u4e86', '\u592a\u68d2\u4e86', '\u5b8c\u7f8e', '\u7edd\u4e86', '\u795e\u4e86']\n\n    # \u6d88\u6781\u60c5\u611f\u8bcd\u6c47\n    negative_words = ['\u574f', '\u5dee', '\u7cdf\u7cd5', '\u5931\u8d25', '\u75db\u82e6', '\u96be\u8fc7', '\u5931\u671b', '\u6124\u6012', '\u8ba8\u538c', '\u6068', '\u5783\u573e', '\u70c2', '\u5dee\u52b2', '\u7cdf\u7cd5\u900f\u9876', '\u592a\u5dee\u4e86', '\u5b8c\u86cb', '\u5d29\u6e83']\n\n    # \u5f3a\u70c8\u60c5\u611f\u8bcd\u6c47\n    intense_words = ['\u975e\u5e38', '\u7279\u522b', '\u6781\u5176', '\u8d85\u7ea7', '\u7edd\u5bf9', '\u5b8c\u5168', '\u5f7b\u5e95', '\u6781\u5ea6', '\u75af\u72c2', '\u7206\u70b8', '\u9707\u64bc', '\u60ca\u4eba', '\u4e0d\u53ef\u601d\u8bae', '\u96be\u4ee5\u7f6e\u4fe1']\n\n    text = str(text)\n    positive_count = sum(1 for word in positive_words if word in text)\n    negative_count = sum(1 for word in negative_words if word in text)\n    intense_count = sum(1 for word in intense_words if word in text)\n\n    # \u8ba1\u7b97\u60c5\u611f\u5f3a\u5ea6\n    total_emotion_words = positive_count + negative_count\n    if total_emotion_words == 0:\n        return 0\n\n    intensity = (total_emotion_words + intense_count) \/ len(text.split()) * 100\n    return min(intensity, 10)  # \u9650\u5236\u57280-10\u4e4b\u95f4\n\n# \u5bf9\u6807\u9898\u548c\u5185\u5bb9\u5206\u522b\u8fdb\u884c\u60c5\u611f\u5206\u6790\ndf['title_sentiment'] = df['title'].apply(analyze_sentiment)\ndf['content_sentiment'] = df['content'].apply(analyze_sentiment)\ndf['title_emotion_intensity'] = df['title'].apply(analyze_emotion_intensity)\ndf['content_emotion_intensity'] = df['content'].apply(analyze_emotion_intensity)\n\n# \u8ba1\u7b97\u7efc\u5408\u60c5\u611f\u5206\u6570\ndf['overall_sentiment'] = (df['title_sentiment'] + df['content_sentiment']) \/ 2\ndf['overall_emotion_intensity'] = (df['title_emotion_intensity'] + df['content_emotion_intensity']) \/ 2\n\n# \u60c5\u611f\u5206\u7c7b\ndef categorize_sentiment(score):\n    if score &lt; 0.3:\n        return '\u6d88\u6781'\n    elif score &lt; 0.7:\n        return '\u4e2d\u6027'\n    else:\n        return '\u79ef\u6781'\n\ndf['sentiment_category'] = df['overall_sentiment'].apply(categorize_sentiment)\n<\/code><\/pre>\n<p><strong>\u4ee3\u7801\u8bf4\u660e<\/strong> \uff1a<\/p>\n<ul>\n<li>\u4f7f\u7528SnowNLP\u8fdb\u884c\u4e2d\u6587\u60c5\u611f\u5206\u6790\uff0c\u8fd4\u56de0-1\u4e4b\u95f4\u7684\u60c5\u611f\u5206\u6570<\/li>\n<li>\u901a\u8fc7\u60c5\u611f\u8bcd\u6c47\u7edf\u8ba1\u8ba1\u7b97\u60c5\u611f\u5f3a\u5ea6<\/li>\n<li>\u5c06\u60c5\u611f\u5206\u6570\u5206\u4e3a\u6d88\u6781\u3001\u4e2d\u6027\u3001\u79ef\u6781\u4e09\u4e2a\u7c7b\u522b<\/li>\n<li>\u7efc\u5408\u8003\u8651\u6807\u9898\u548c\u5185\u5bb9\u7684\u60c5\u611f\u7279\u5f81<br \/>\n<img decoding=\"async\" alt=\"\u8bf7\u6dfb\u52a0\u56fe\u7247\u63cf\u8ff0\" src=\"https:\/\/wp.dianshudata.com\/story\/wp-content\/uploads\/2026\/05\/img-3f6299c4-scaled.png\" \/><\/li>\n<\/ul>\n<h4>\u60c5\u611f\u5f3a\u5ea6\u4e0e\u4f20\u64ad\u529b\u5173\u7cfb<\/h4>\n<p><img decoding=\"async\" alt=\"\u8bf7\u6dfb\u52a0\u56fe\u7247\u63cf\u8ff0\" src=\"https:\/\/wp.dianshudata.com\/story\/wp-content\/uploads\/2026\/05\/img-df974676-scaled.png\" \/><\/p>\n<p><strong>\u6838\u5fc3\u53d1\u73b0\uff1a<\/strong><\/p>\n<ol>\n<li>\n<p><strong>\u6781\u7aef\u60c5\u611f\u5185\u5bb9\u4f20\u64ad\u529b\u6700\u5f3a<\/strong><\/p>\n<ul>\n<li>\u6781\u7aef\u79ef\u6781\u60c5\u611f\uff08\u60c5\u611f\u5206\u6570\u22650.8\uff09\uff1a\u5e73\u5747\u4f20\u64ad\u529b78\u5206<\/li>\n<li>\u6781\u7aef\u6d88\u6781\u60c5\u611f\uff08\u60c5\u611f\u5206\u6570\u22640.2\uff09\uff1a\u5e73\u5747\u4f20\u64ad\u529b76\u5206<\/li>\n<li>\n<p>\u4e2d\u6027\u60c5\u611f\uff08\u60c5\u611f\u5206\u65700.4-0.6\uff09\uff1a\u5e73\u5747\u4f20\u64ad\u529b\u4ec562\u5206<br \/>\n  2. <strong>\u60c5\u611f\u5f3a\u5ea6\u4e0e\u4f20\u64ad\u529b\u6b63\u76f8\u5173<\/strong><\/p>\n<\/li>\n<li>\n<p>\u9ad8\u5f3a\u5ea6\u60c5\u611f\u5185\u5bb9\uff08\u5f3a\u5ea6\u22655\uff09\uff1a\u5e73\u5747\u4f20\u64ad\u529b82\u5206<\/p>\n<\/li>\n<li>\u4f4e\u5f3a\u5ea6\u60c5\u611f\u5185\u5bb9\uff08\u5f3a\u5ea6\u22642\uff09\uff1a\u5e73\u5747\u4f20\u64ad\u529b58\u5206<\/li>\n<li>\n<p>\u76f8\u5173\u7cfb\u6570\u8fbe\u52300.34\uff0c\u5177\u6709\u663e\u8457\u6b63\u76f8\u5173\u5173\u7cfb<br \/>\n  3. <strong>\u60c5\u611f\u8bcd\u6c47\u7684\u4f20\u64ad\u4ef7\u503c<\/strong><\/p>\n<\/li>\n<li>\n<p>\u5f3a\u70c8\u79ef\u6781\u8bcd\u6c47\uff1a\u9707\u64bc\u3001\u60ca\u8273\u3001\u5b8c\u7f8e\u3001\u7edd\u4e86<\/p>\n<\/li>\n<li>\u5f3a\u70c8\u6d88\u6781\u8bcd\u6c47\uff1a\u5d29\u6e83\u3001\u5371\u673a\u3001\u7cdf\u7cd5\u900f\u9876<\/li>\n<li>\u8fd9\u4e9b\u8bcd\u6c47\u7684\u4f7f\u7528\u9891\u7387\u4e0e\u4f20\u64ad\u529b\u9ad8\u5ea6\u76f8\u5173<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<h4>\u60c5\u611f\u4e0e\u8bdd\u9898\u7684\u5339\u914d\u89c4\u5f8b<\/h4>\n<p><img decoding=\"async\" alt=\"\u8bf7\u6dfb\u52a0\u56fe\u7247\u63cf\u8ff0\" src=\"https:\/\/wp.dianshudata.com\/story\/wp-content\/uploads\/2026\/05\/img-2131756c.png\" \/><\/p>\n<p>\u4e0d\u540c\u8bdd\u9898\u9700\u8981\u5339\u914d\u4e0d\u540c\u7684\u60c5\u611f\u7b56\u7565\uff1a<\/p>\n<ul>\n<li><strong>\u804c\u573a\u8bdd\u9898<\/strong> \uff1a\u9002\u5ea6\u7684\u6279\u5224\u6027\u60c5\u611f\u66f4\u5bb9\u6613\u83b7\u5f97\u5171\u9e23<\/li>\n<li><strong>\u751f\u6d3b\u8bdd\u9898<\/strong> \uff1a\u79ef\u6781\u6e29\u6696\u7684\u60c5\u611f\u66f4\u5bb9\u6613\u4f20\u64ad<\/li>\n<li><strong>\u79d1\u6280\u8bdd\u9898<\/strong> \uff1a\u5ba2\u89c2\u4e2d\u6027\u4f46\u5e26\u6709\u4e00\u5b9a\u60c5\u611f\u8272\u5f69\u7684\u5185\u5bb9\u4f20\u64ad\u529b\u66f4\u5f3a<\/li>\n<\/ul>\n<hr \/>\n<h3>\u7b2c\u56db\u90e8\u5206\uff1a\u7206\u6b3e\u5185\u5bb9\u7684\u7ed3\u6784\u5316\u7279\u5f81<\/h3>\n<h4>\u6807\u9898\u957f\u5ea6\u5b9a\u5f8b<\/h4>\n<p><img decoding=\"async\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" src=\"https:\/\/wp.dianshudata.com\/story\/wp-content\/uploads\/2026\/05\/img-450c94a4-scaled.png\" \/><\/p>\n<p><strong>\u5173\u952e\u53d1\u73b0\uff1a<\/strong><\/p>\n<ul>\n<li><strong>\u6700\u4f73\u6807\u9898\u957f\u5ea6\uff1a20-30\u5b57\u7b26<\/strong><\/li>\n<li>\u8fc7\u77ed\uff08&lt;15\u5b57\u7b26\uff09\u6216\u8fc7\u957f\uff08&gt;50\u5b57\u7b26\uff09\u7684\u6807\u9898\u4f20\u64ad\u529b\u8f83\u4f4e<\/li>\n<li>\u6807\u9898\u957f\u5ea6\u4e0e\u4f20\u64ad\u529b\u5448\u73b0\u5012U\u578b\u5173\u7cfb<\/li>\n<\/ul>\n<h4>\u7ed3\u6784\u5316\u7279\u5f81\u63d0\u53d6\u4ee3\u7801<\/h4>\n<pre><code>import re\nfrom collections import Counter\n\n# \u6807\u9898\u7279\u5f81\u5206\u6790\ndf['title_length'] = df['title'].str.len()  # \u6807\u9898\u5b57\u7b26\u957f\u5ea6\ndf['title_word_count'] = df['title'].str.split().str.len()  # \u6807\u9898\u8bcd\u6570\n\n# \u6807\u70b9\u7b26\u53f7\u5206\u6790\ndf['has_exclamation'] = df['title'].str.contains('\uff01|!')  # \u611f\u53f9\u53f7\ndf['has_question'] = df['title'].str.contains('\uff1f|\\\\?')   # \u95ee\u53f7\ndf['has_colon'] = df['title'].str.contains('\uff1a|:')       # \u5192\u53f7\ndf['has_quotes'] = df['title'].str.contains('\"|\"|'|'|\u300a|\u300b')  # \u5f15\u53f7\n\n# \u6570\u5b57\u5206\u6790\ndf['has_numbers'] = df['title'].str.contains(r'\\d+')     # \u5305\u542b\u6570\u5b57\ndf['has_percentage'] = df['title'].str.contains('%|\uff05')  # \u5305\u542b\u767e\u5206\u6bd4\n\n# \u5185\u5bb9\u7ed3\u6784\u5206\u6790\ndf['content_length'] = df['content'].str.len()  # \u5185\u5bb9\u5b57\u7b26\u957f\u5ea6\ndf['content_paragraph_count'] = df['content'].str.count('\\n\\n') + 1  # \u6bb5\u843d\u6570\n\n# \u591a\u5a92\u4f53\u5185\u5bb9\u5206\u6790\ndf['has_images'] = df['has_attributes'].apply(lambda x: 'has_pics' in x if isinstance(x, list) else False)\ndf['has_ocr'] = df['has_attributes'].apply(lambda x: 'ocr_processed' in x if isinstance(x, list) else False)\n\n# \u5206\u6790\u6807\u9898\u957f\u5ea6\u4e0e\u4f20\u64ad\u529b\u7684\u5173\u7cfb\ntitle_length_analysis = df.groupby(pd.cut(df['title_length'], bins=5))['engagement_rate'].mean()\nprint(\"\u6807\u9898\u957f\u5ea6\u4e0e\u4f20\u64ad\u529b\u5173\u7cfb\uff1a\")\nprint(title_length_analysis)\n\n# \u5206\u6790\u6807\u70b9\u7b26\u53f7\u4e0e\u4f20\u64ad\u529b\u7684\u5173\u7cfb\npunctuation_analysis = df.groupby(['has_exclamation', 'has_question', 'has_colon'])['engagement_rate'].mean()\nprint(\"\\n\u6807\u70b9\u7b26\u53f7\u4e0e\u4f20\u64ad\u529b\u5173\u7cfb\uff1a\")\nprint(punctuation_analysis)\n<\/code><\/pre>\n<p><strong>\u4ee3\u7801\u8bf4\u660e<\/strong> \uff1a<\/p>\n<ul>\n<li>\u63d0\u53d6\u6807\u9898\u548c\u5185\u5bb9\u7684\u7ed3\u6784\u5316\u7279\u5f81<\/li>\n<li>\u5206\u6790\u6807\u70b9\u7b26\u53f7\u3001\u6570\u5b57\u3001\u957f\u5ea6\u7b49\u5143\u7d20\u5bf9\u4f20\u64ad\u529b\u7684\u5f71\u54cd<\/li>\n<li>\u4f7f\u7528\u5206\u7ec4\u7edf\u8ba1\u65b9\u6cd5\u91cf\u5316\u7279\u5f81\u4e0e\u4f20\u64ad\u529b\u7684\u5173\u7cfb<\/li>\n<\/ul>\n<h4>\u6807\u70b9\u7b26\u53f7\u7684\u4f20\u64ad\u4ef7\u503c<\/h4>\n<p><img decoding=\"async\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" src=\"https:\/\/wp.dianshudata.com\/story\/wp-content\/uploads\/2026\/05\/img-8a516419-scaled.png\" \/><\/p>\n<p>\u6807\u70b9\u7b26\u53f7\u5bf9\u4f20\u64ad\u529b\u7684\u5f71\u54cd\uff1a<\/p>\n<ul>\n<li><strong>\u611f\u53f9\u53f7\uff08\uff01\uff09<\/strong> \uff1a\u63d0\u5347\u4f20\u64ad\u529b\u6700\u663e\u8457\uff0c\u5e73\u5747\u63d0\u534715%<\/li>\n<li><strong>\u95ee\u53f7\uff08\uff1f\uff09<\/strong> \uff1a\u5f15\u53d1\u601d\u8003\uff0c\u4f20\u64ad\u529b\u63d0\u534710%<\/li>\n<li><strong>\u5192\u53f7\uff08\uff1a\uff09<\/strong> \uff1a\u7ed3\u6784\u5316\u8868\u8fbe\uff0c\u4f20\u64ad\u529b\u63d0\u53475%<\/li>\n<li><strong>\u5f15\u53f7\uff08\u201c\u201d\uff09<\/strong> \uff1a\u5f15\u7528\u5f3a\u8c03\uff0c\u4f20\u64ad\u529b\u63d0\u53473%<\/li>\n<\/ul>\n<h4>\u5185\u5bb9\u957f\u5ea6\u89c4\u5f8b<\/h4>\n<p><img decoding=\"async\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" src=\"https:\/\/wp.dianshudata.com\/story\/wp-content\/uploads\/2026\/05\/img-7843d3db-scaled.png\" \/><\/p>\n<p><strong>\u6700\u4f73\u5185\u5bb9\u957f\u5ea6\uff1a1000-3000\u5b57\u7b26<\/strong><\/p>\n<ul>\n<li>\u8fc7\u77ed\u5185\u5bb9\u7f3a\u4e4f\u6df1\u5ea6\uff0c\u4f20\u64ad\u529b\u8f83\u4f4e<\/li>\n<li>\u8fc7\u957f\u5185\u5bb9\u5bb9\u6613\u75b2\u52b3\uff0c\u4f20\u64ad\u529b\u4e0b\u964d<\/li>\n<li>\u5185\u5bb9\u957f\u5ea6\u4e0e\u4f20\u64ad\u529b\u5448\u73b0\u5012U\u578b\u5173\u7cfb<\/li>\n<\/ul>\n<h4>\u591a\u5a92\u4f53\u5185\u5bb9\u4ef7\u503c<\/h4>\n<p><img decoding=\"async\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" src=\"https:\/\/wp.dianshudata.com\/story\/wp-content\/uploads\/2026\/05\/img-1507901c.png\" \/><\/p>\n<p>\u591a\u5a92\u4f53\u5185\u5bb9\u5bf9\u4f20\u64ad\u529b\u7684\u5f71\u54cd\uff1a<\/p>\n<ul>\n<li><strong>\u6709\u56fe\u7247\u5185\u5bb9<\/strong> \uff1a\u4f20\u64ad\u529b\u63d0\u534715-20%<\/li>\n<li><strong>\u6709OCR\u5904\u7406<\/strong> \uff1a\u8bf4\u660e\u5185\u5bb9\u8d28\u91cf\u9ad8\uff0c\u4f20\u64ad\u529b\u63d0\u534710-15%<\/li>\n<li><strong>\u7eaf\u6587\u5b57\u5185\u5bb9<\/strong> \uff1a\u4f20\u64ad\u529b\u76f8\u5bf9\u8f83\u4f4e<\/li>\n<\/ul>\n<hr \/>\n<h3>\u7b2c\u4e94\u90e8\u5206\uff1a\u4ece\u5206\u6790\u5230\u5b9e\u8df5\u2014\u2014\u6784\u5efa\u5185\u5bb9\u7b56\u7565<\/h3>\n<h4>\u6570\u636e\u9a71\u52a8\u7684&#8221;\u5185\u5bb9\u914d\u65b9&#8221;<\/h4>\n<p>\u57fa\u4e8e10\u4e07\u7bc7\u6587\u7ae0\u7684\u6df1\u5ea6\u5206\u6790\uff0c\u6211\u4eec\u63d0\u70bc\u51fa\u4ee5\u4e0b\u53ef\u64cd\u4f5c\u7684\u5185\u5bb9\u7b56\u7565\uff1a<\/p>\n<h5>1. \u60c5\u7eea\u7b56\u7565\u914d\u65b9<\/h5>\n<ul>\n<li><strong>\u60c5\u611f\u5f3a\u5ea6\u7b56\u7565<\/strong> \uff1a\u4f7f\u7528\u5f3a\u70c8\u60c5\u611f\u8bcd\u6c47\uff0c\u907f\u514d\u4e2d\u6027\u5e73\u6de1\u7684\u8868\u8fbe<\/li>\n<li><strong>\u60c5\u611f\u65b9\u5411\u7b56\u7565<\/strong> \uff1a\u6781\u7aef\u79ef\u6781\u6216\u9002\u5ea6\u6d88\u6781\u60c5\u611f\uff0c\u907f\u514d\u4e2d\u6027\u60c5\u611f<\/li>\n<li><strong>\u60c5\u611f\u4e0e\u8bdd\u9898\u5339\u914d<\/strong> \uff1a\u6839\u636e\u8bdd\u9898\u7279\u70b9\u9009\u62e9\u5408\u9002\u7684\u60c5\u611f\u57fa\u8c03<\/li>\n<\/ul>\n<h5>2. \u7ed3\u6784\u7b56\u7565\u914d\u65b9<\/h5>\n<ul>\n<li><strong>\u6807\u9898\u4f18\u5316<\/strong> \uff1a20-30\u5b57\u7b26 + \u611f\u53f9\u53f7 + \u5f3a\u70c8\u60c5\u611f<\/li>\n<li><strong>\u5185\u5bb9\u7ed3\u6784<\/strong> \uff1a1000-3000\u5b57\u7b26 + 3-5\u6bb5\u843d + \u56fe\u7247<\/li>\n<li><strong>\u8bdd\u9898\u9009\u62e9<\/strong> \uff1a\u4f18\u5148\u9009\u62e9\u9ad8\u4f20\u64ad\u529b\u8bdd\u9898\u7c7b\u522b<\/li>\n<\/ul>\n<h4>\u5185\u5bb9\u8bca\u65ad\u5668<\/h4>\n<p>\u57fa\u4e8e\u5206\u6790\u7ed3\u679c\uff0c\u6211\u4eec\u6784\u5efa\u4e86\u4e00\u4e2a\u7b80\u5355\u7684\u5185\u5bb9\u8bca\u65ad\u5de5\u5177\uff0c\u80fd\u591f\uff1a<\/p>\n<ul>\n<li><strong>\u5feb\u901f\u8bc4\u4f30<\/strong> \uff1a\u5728\u51e0\u79d2\u5185\u5b8c\u6210\u5185\u5bb9\u5065\u5eb7\u5ea6\u8bc4\u4f30<\/li>\n<li><strong>\u7cbe\u51c6\u5efa\u8bae<\/strong> \uff1a\u63d0\u4f9b\u5177\u4f53\u7684\u4f18\u5316\u5efa\u8bae<\/li>\n<li><strong>\u91cf\u5316\u8bc4\u5206<\/strong> \uff1a\u7ed9\u51fa0-10\u5206\u7684\u5065\u5eb7\u5ea6\u8bc4\u5206<\/li>\n<\/ul>\n<h4>\u5185\u5bb9\u8bca\u65ad\u5668\u4ee3\u7801<\/h4>\n<pre><code>def content_diagnosis(title, content, topic_category=\"general\"):\n    \"\"\"\n    \u5185\u5bb9\u8bca\u65ad\u5668\n    \u57fa\u4e8e10\u4e07\u7bc7\u6587\u7ae0\u5206\u6790\u7ed3\u679c\uff0c\u5bf9\u5185\u5bb9\u8fdb\u884c\u5065\u5eb7\u5ea6\u8bc4\u5206\n    \"\"\"\n    score = 0\n    max_score = 10\n    suggestions = []\n\n    # \u6807\u9898\u957f\u5ea6\u68c0\u67e5 (2\u5206)\n    title_length = len(title)\n    if 20 &lt;= title_length &lt;= 30:\n        score += 2\n        suggestions.append(\"\u2713 \u6807\u9898\u957f\u5ea6\u9002\u4e2d\")\n    elif 15 &lt;= title_length &lt;= 40:\n        score += 1\n        suggestions.append(\"\u26a0 \u6807\u9898\u957f\u5ea6\u53ef\u4f18\u5316\")\n    else:\n        suggestions.append(\"\u2717 \u6807\u9898\u957f\u5ea6\u9700\u8981\u8c03\u6574\")\n\n    # \u6807\u9898\u6807\u70b9\u68c0\u67e5 (2\u5206)\n    if '\uff01' in title or '!' in title:\n        score += 2\n        suggestions.append(\"\u2713 \u6807\u9898\u5305\u542b\u611f\u53f9\u53f7\")\n    elif '\uff1f' in title or '?' in title:\n        score += 1\n        suggestions.append(\"\u2713 \u6807\u9898\u5305\u542b\u95ee\u53f7\")\n    else:\n        suggestions.append(\"\u26a0 \u6807\u9898\u7f3a\u5c11\u60c5\u7eea\u6807\u70b9\")\n\n    # \u5185\u5bb9\u957f\u5ea6\u68c0\u67e5 (2\u5206)\n    content_length = len(content)\n    if 1000 &lt;= content_length &lt;= 3000:\n        score += 2\n        suggestions.append(\"\u2713 \u5185\u5bb9\u957f\u5ea6\u9002\u4e2d\")\n    elif 500 &lt;= content_length &lt;= 5000:\n        score += 1\n        suggestions.append(\"\u26a0 \u5185\u5bb9\u957f\u5ea6\u53ef\u4f18\u5316\")\n    else:\n        suggestions.append(\"\u2717 \u5185\u5bb9\u957f\u5ea6\u9700\u8981\u8c03\u6574\")\n\n    # \u60c5\u611f\u5f3a\u5ea6\u68c0\u67e5 (2\u5206)\n    emotion_words = ['\u9707\u64bc', '\u60ca\u8273', '\u5b8c\u7f8e', '\u5d29\u6e83', '\u5371\u673a', '\u7edd\u4e86', '\u795e\u4e86', '\u592a\u68d2\u4e86', '\u7cdf\u7cd5\u900f\u9876']\n    emotion_count = sum(1 for word in emotion_words if word in content)\n    if emotion_count &gt;= 3:\n        score += 2\n        suggestions.append(\"\u2713 \u60c5\u611f\u5f3a\u5ea6\u5145\u8db3\")\n    elif emotion_count &gt;= 1:\n        score += 1\n        suggestions.append(\"\u26a0 \u60c5\u611f\u5f3a\u5ea6\u53ef\u63d0\u5347\")\n    else:\n        suggestions.append(\"\u2717 \u60c5\u611f\u5f3a\u5ea6\u4e0d\u8db3\")\n\n    # \u8bdd\u9898\u5339\u914d\u68c0\u67e5 (2\u5206)\n    high_engagement_topics = ['\u804c\u573a\u6280\u80fd', '\u60c5\u611f\u751f\u6d3b', '\u5065\u5eb7\u517b\u751f', '\u79d1\u6280\u524d\u6cbf']\n    if topic_category in high_engagement_topics:\n        score += 2\n        suggestions.append(\"\u2713 \u8bdd\u9898\u9009\u62e9\u4f18\u79c0\")\n    else:\n        score += 1\n        suggestions.append(\"\u26a0 \u8bdd\u9898\u9009\u62e9\u4e00\u822c\")\n\n    # \u751f\u6210\u8bca\u65ad\u62a5\u544a\n    health_level = \"\u4f18\u79c0\" if score &gt;= 8 else \"\u826f\u597d\" if score &gt;= 6 else \"\u4e00\u822c\" if score &gt;= 4 else \"\u9700\u8981\u6539\u8fdb\"\n\n    print(f\"=== \u5185\u5bb9\u5065\u5eb7\u5ea6\u8bca\u65ad\u62a5\u544a ===\")\n    print(f\"\u603b\u5206: {score}\/{max_score}\")\n    print(f\"\u5065\u5eb7\u5ea6: {health_level}\")\n    print(f\"\u6807\u9898: {title}\")\n    print(f\"\u5185\u5bb9\u957f\u5ea6: {content_length} \u5b57\u7b26\")\n    print(f\"\u8bdd\u9898\u7c7b\u522b: {topic_category}\")\n    print(\"\\n\u8be6\u7ec6\u5efa\u8bae:\")\n    for suggestion in suggestions:\n        print(f\"  {suggestion}\")\n\n    return score, health_level, suggestions\n\n# \u4f7f\u7528\u793a\u4f8b\ntest_title = \"\u9707\u60ca\uff01\u8fd9\u4e2a\u804c\u573a\u6280\u80fd\u8ba990%\u7684\u4eba\u6210\u529f\u9006\u88ad\uff01\"\ntest_content = \"\u5728\u7ade\u4e89\u6fc0\u70c8\u7684\u804c\u573a\u4e2d\uff0c\u638c\u63e1\u6b63\u786e\u7684\u6280\u80fd\u662f\u6210\u529f\u7684\u5173\u952e\u3002\u4eca\u5929\u6211\u8981\u5206\u4eab\u4e00\u4e2a\u8ba990%\u7684\u4eba\u90fd\u6210\u529f\u9006\u88ad\u7684\u804c\u573a\u6280\u80fd\uff0c\u8fd9\u4e2a\u6280\u80fd\u4e0d\u4ec5\u80fd\u591f\u63d0\u5347\u4f60\u7684\u5de5\u4f5c\u6548\u7387\uff0c\u8fd8\u80fd\u8ba9\u4f60\u5728\u540c\u4e8b\u4e2d\u8131\u9896\u800c\u51fa\u3002\u8fd9\u4e2a\u6280\u80fd\u5c31\u662f...\"\ntest_topic = \"\u804c\u573a\u6280\u80fd\"\n\n# \u8fd0\u884c\u8bca\u65ad\nscore, health_level, suggestions = content_diagnosis(test_title, test_content, test_topic)\n<\/code><\/pre>\n<p><strong>\u4ee3\u7801\u8bf4\u660e<\/strong> \uff1a<\/p>\n<ul>\n<li>\u57fa\u4e8e\u6570\u636e\u5206\u6790\u7ed3\u679c\u6784\u5efa\u8bc4\u5206\u4f53\u7cfb<\/li>\n<li>\u4ece\u6807\u9898\u957f\u5ea6\u3001\u6807\u70b9\u7b26\u53f7\u3001\u5185\u5bb9\u957f\u5ea6\u3001\u60c5\u611f\u5f3a\u5ea6\u3001\u8bdd\u9898\u9009\u62e9\u7b49\u7ef4\u5ea6\u8bc4\u4f30<\/li>\n<li>\u63d0\u4f9b\u5177\u4f53\u7684\u4f18\u5316\u5efa\u8bae\u548c\u91cf\u5316\u8bc4\u5206<\/li>\n<li>\u53ef\u590d\u7528\u7684\u8bca\u65ad\u5de5\u5177\uff0c\u5e2e\u52a9\u5185\u5bb9\u521b\u4f5c\u8005\u4f18\u5316\u5185\u5bb9<\/li>\n<\/ul>\n<h4>\u7206\u6b3e\u5185\u5bb9\u7b56\u7565\u6a21\u677f<\/h4>\n<h5>\u6807\u9898\u6a21\u677f<\/h5>\n<ul>\n<li><strong>\u6570\u5b57\u578b<\/strong> \uff1a\u201c\u9707\u60ca\uff0190%\u7684\u4eba\u90fd\u4e0d\u77e5\u9053\u76843\u4e2a\u804c\u573a\u79d8\u5bc6\u201d<\/li>\n<li><strong>\u7591\u95ee\u578b<\/strong> \uff1a\u201c\u4e3a\u4ec0\u4e48\u8fd9\u4e2a\u6280\u80fd\u8ba9\u6240\u6709\u4eba\u6210\u529f\u9006\u88ad\uff1f\u201d<\/li>\n<li><strong>\u5bf9\u6bd4\u578b<\/strong> \uff1a\u201c\u540c\u6837\u5de5\u4f5c3\u5e74\uff0c\u4e3a\u4ec0\u4e48\u4ed6\u6bd4\u4f60\u6210\u529f10\u500d\uff1f\u201d<\/li>\n<li><strong>\u60c5\u611f\u578b<\/strong> \uff1a\u201c\u592a\u9707\u64bc\u4e86\uff01\u8fd9\u4e2a\u53d1\u73b0\u6539\u53d8\u4e86\u6211\u7684\u6574\u4e2a\u4eba\u751f\u201d<\/li>\n<\/ul>\n<h5>\u5185\u5bb9\u7ed3\u6784\u6a21\u677f<\/h5>\n<ul>\n<li><strong>\u5f00\u5934<\/strong> \uff1a\u5f3a\u70c8\u60c5\u611f\u8868\u8fbe + \u6838\u5fc3\u89c2\u70b9<\/li>\n<li><strong>\u4e2d\u95f4<\/strong> \uff1a3-5\u4e2a\u652f\u6491\u70b9\uff0c\u6bcf\u70b9200-500\u5b57<\/li>\n<li><strong>\u7ed3\u5c3e<\/strong> \uff1a\u603b\u7ed3 + \u884c\u52a8\u53f7\u53ec<\/li>\n<\/ul>\n<hr \/>\n<h3>\u7ed3\u8bba\u4e0e\u5c55\u671b<\/h3>\n<h4>\u6838\u5fc3\u53d1\u73b0\u603b\u7ed3<\/h4>\n<p>\u901a\u8fc7\u5bf910\u4e07\u6761\u5fae\u4fe1\u516c\u4f17\u53f7\u6587\u7ae0\u7684\u6df1\u5ea6\u5206\u6790\uff0c\u6211\u4eec\u63ed\u793a\u4e86\u5185\u5bb9\u4f20\u64ad\u7684\u4e09\u5927\u6838\u5fc3\u89c4\u5f8b\uff1a<\/p>\n<h5>1. \u60c5\u7eea\u7ecf\u6d4e\u5b66\u5b9a\u5f8b<\/h5>\n<ul>\n<li><strong>\u60c5\u611f\u4e24\u6781\u5206\u5316\u6548\u5e94<\/strong> \uff1a\u6781\u7aef\u60c5\u611f\u5185\u5bb9\u4f20\u64ad\u529b\u6700\u5f3a\uff0c\u4e2d\u6027\u60c5\u611f\u4f20\u64ad\u529b\u6700\u4f4e<\/li>\n<li><strong>\u60c5\u611f\u5f3a\u5ea6\u4e0e\u4f20\u64ad\u529b\u6b63\u76f8\u5173<\/strong> \uff1a\u5f3a\u70c8\u7684\u60c5\u611f\u8868\u8fbe\u66f4\u5bb9\u6613\u5f15\u53d1\u4f20\u64ad<\/li>\n<li><strong>\u60c5\u611f\u8bcd\u6c47\u7684\u4f20\u64ad\u4ef7\u503c<\/strong> \uff1a\u5f3a\u70c8\u60c5\u611f\u8bcd\u6c47\u5177\u6709\u66f4\u9ad8\u7684\u4f20\u64ad\u4ef7\u503c<\/li>\n<\/ul>\n<h5>2. \u7ed3\u6784\u5316\u7279\u5f81\u5b9a\u5f8b<\/h5>\n<ul>\n<li><strong>\u6807\u9898\u957f\u5ea6\u5b9a\u5f8b<\/strong> \uff1a20-30\u5b57\u7b26\u7684\u6807\u9898\u4f20\u64ad\u529b\u6700\u5f3a<\/li>\n<li><strong>\u6807\u70b9\u7b26\u53f7\u5b9a\u5f8b<\/strong> \uff1a\u611f\u53f9\u53f7\u63d0\u5347\u4f20\u64ad\u529b\u6700\u663e\u8457<\/li>\n<li><strong>\u5185\u5bb9\u957f\u5ea6\u5b9a\u5f8b<\/strong> \uff1a1000-3000\u5b57\u7b26\u7684\u5185\u5bb9\u4f20\u64ad\u529b\u6700\u5f3a<\/li>\n<li><strong>\u591a\u5a92\u4f53\u5b9a\u5f8b<\/strong> \uff1a\u5305\u542b\u56fe\u7247\u7684\u5185\u5bb9\u4f20\u64ad\u529b\u63d0\u534715-20%<\/li>\n<\/ul>\n<h5>3. \u8bdd\u9898\u4f20\u64ad\u529b\u5b9a\u5f8b<\/h5>\n<ul>\n<li><strong>\u8bdd\u9898\u5dee\u5f02\u663e\u8457<\/strong> \uff1a\u4e0d\u540c\u8bdd\u9898\u7c7b\u522b\u7684\u4f20\u64ad\u529b\u5b58\u5728\u663e\u8457\u5dee\u5f02<\/li>\n<li><strong>\u9ad8\u4f20\u64ad\u529b\u8bdd\u9898\u7279\u5f81<\/strong> \uff1a\u5b9e\u7528\u6027\u5f3a\u3001\u60c5\u611f\u5171\u9e23\u3001\u65f6\u6548\u6027\u4f73<\/li>\n<li><strong>\u8bdd\u9898\u4e0e\u60c5\u611f\u5339\u914d<\/strong> \uff1a\u4e0d\u540c\u8bdd\u9898\u9700\u8981\u5339\u914d\u4e0d\u540c\u7684\u60c5\u611f\u7b56\u7565<\/li>\n<\/ul>\n<h4>\u6570\u636e\u9a71\u52a8\u7684\u4ef7\u503c<\/h4>\n<p>\u4f20\u7edf\u7684\u5185\u5bb9\u521b\u4f5c\u5f80\u5f80\u4f9d\u8d56\u521b\u4f5c\u8005\u7684\u76f4\u89c9\u548c\u7ecf\u9a8c\uff0c\u5177\u6709\u5f88\u5f3a\u7684\u4e3b\u89c2\u6027\u548c\u4e0d\u786e\u5b9a\u6027\u3002\u901a\u8fc7\u6570\u636e\u5206\u6790\uff0c\u6211\u4eec\u5c06\u5185\u5bb9\u521b\u4f5c\u4ece&#8221;\u827a\u672f&#8221;\u90e8\u5206\u8f6c\u5316\u4e3a&#8221;\u79d1\u5b66&#8221;\u90e8\u5206\uff1a<\/p>\n<ul>\n<li><strong>\u4f20\u64ad\u529b\u53ef\u9884\u6d4b<\/strong> \uff1a\u57fa\u4e8e\u5185\u5bb9\u7279\u5f81\u9884\u6d4b\u4f20\u64ad\u6548\u679c<\/li>\n<li><strong>\u7b56\u7565\u53ef\u9a8c\u8bc1<\/strong> \uff1a\u901a\u8fc7\u6570\u636e\u9a8c\u8bc1\u5185\u5bb9\u7b56\u7565\u7684\u6709\u6548\u6027<\/li>\n<li><strong>\u4f18\u5316\u53ef\u91cf\u5316<\/strong> \uff1a\u660e\u786e\u77e5\u9053\u6bcf\u4e2a\u4f18\u5316\u70b9\u80fd\u5e26\u6765\u591a\u5c11\u63d0\u5347<\/li>\n<\/ul>\n<h4>\u672a\u6765\u5c55\u671b<\/h4>\n<h5>\u6280\u672f\u53d1\u5c55\u65b9\u5411<\/h5>\n<ul>\n<li><strong>\u6df1\u5ea6\u5b66\u4e60\u5e94\u7528<\/strong> \uff1a\u66f4\u7cbe\u51c6\u7684\u60c5\u611f\u5206\u6790\u3001\u81ea\u52a8\u5185\u5bb9\u751f\u6210<\/li>\n<li><strong>\u5b9e\u65f6\u5206\u6790\u7cfb\u7edf<\/strong> \uff1a\u5b9e\u65f6\u4f20\u64ad\u529b\u9884\u6d4b\u3001\u52a8\u6001\u7b56\u7565\u8c03\u6574<\/li>\n<li><strong>\u4e2a\u6027\u5316\u63a8\u8350<\/strong> \uff1a\u4e3a\u4e0d\u540c\u521b\u4f5c\u8005\u63d0\u4f9b\u4e2a\u6027\u5316\u5efa\u8bae<\/li>\n<\/ul>\n<h5>\u5e94\u7528\u573a\u666f\u6269\u5c55<\/h5>\n<ul>\n<li><strong>\u591a\u5e73\u53f0\u5185\u5bb9\u7b56\u7565<\/strong> \uff1a\u5206\u6790\u4e0d\u540c\u5e73\u53f0\u7684\u5185\u5bb9\u4f20\u64ad\u89c4\u5f8b<\/li>\n<li><strong>\u884c\u4e1a\u5782\u76f4\u5e94\u7528<\/strong> \uff1a\u4e3a\u6559\u80b2\u3001\u4f01\u4e1a\u3001\u5a92\u4f53\u63d0\u4f9b\u4e13\u95e8\u7b56\u7565<\/li>\n<li><strong>\u9884\u6d4b\u6027\u5185\u5bb9\u521b\u4f5c<\/strong> \uff1a\u57fa\u4e8e\u5386\u53f2\u6570\u636e\u9884\u6d4b\u5185\u5bb9\u4f20\u64ad\u6548\u679c<\/li>\n<\/ul>\n<h4>\u5bf9\u5185\u5bb9\u521b\u4f5c\u8005\u7684\u542f\u793a<\/h4>\n<ol>\n<li><strong>\u62e5\u62b1\u6570\u636e\u9a71\u52a8<\/strong> \uff1a\u5efa\u7acb\u6570\u636e\u610f\u8bc6\uff0c\u5b66\u4e60\u6570\u636e\u5206\u6790\u6280\u80fd<\/li>\n<li><strong>\u5e73\u8861\u827a\u672f\u4e0e\u79d1\u5b66<\/strong> \uff1a\u5728\u6570\u636e\u6307\u5bfc\u4e0b\u53d1\u6325\u521b\u610f\uff0c\u4fdd\u6301\u5185\u5bb9\u771f\u5b9e\u6027<\/li>\n<li><strong>\u6301\u7eed\u5b66\u4e60\u4f18\u5316<\/strong> \uff1a\u8ddf\u8e2a\u6570\u636e\u53d8\u5316\uff0c\u5b9e\u9a8c\u65b0\u7b56\u7565\uff0c\u5206\u4eab\u7ecf\u9a8c<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Python\u6570\u636e\u5206\u6790\u5b9e\u6218\uff1a\u4ece10\u4e07\u7bc7\u5fae\u4fe1\u516c\u4f17\u53f7\u6587\u7ae0\u4e2d\u6316\u6398\u516c\u4f17\u53f7\u7684\u201c\u7206\u6b3e\u57fa\u56e0\u201d\uff08\u9644\u5b8c\u6574\u4ee3\u7801\uff09\u200b<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_seopress_robots_primary_cat":"","_seopress_titles_title":"","_seopress_titles_desc":"","_seopress_robots_index":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[51],"tags":[202,201,38,203],"class_list":["post-2047","post","type-post","status-publish","format-standard","hentry","category-51","tag-python","tag-201","tag-38","tag-203"],"_links":{"self":[{"href":"https:\/\/dianshudata.com\/story\/wp-json\/wp\/v2\/posts\/2047","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dianshudata.com\/story\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dianshudata.com\/story\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dianshudata.com\/story\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dianshudata.com\/story\/wp-json\/wp\/v2\/comments?post=2047"}],"version-history":[{"count":1,"href":"https:\/\/dianshudata.com\/story\/wp-json\/wp\/v2\/posts\/2047\/revisions"}],"predecessor-version":[{"id":2048,"href":"https:\/\/dianshudata.com\/story\/wp-json\/wp\/v2\/posts\/2047\/revisions\/2048"}],"wp:attachment":[{"href":"https:\/\/dianshudata.com\/story\/wp-json\/wp\/v2\/media?parent=2047"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dianshudata.com\/story\/wp-json\/wp\/v2\/categories?post=2047"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dianshudata.com\/story\/wp-json\/wp\/v2\/tags?post=2047"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}