├── .gitignore
├── README.md
├── analysis_results
    ├── comment_wordcloud.png
    ├── content_tags.html
    ├── hot_topics.html
    ├── hot_words.html
    ├── interaction_network.html
    ├── location_analysis.html
    ├── sentiment_analysis.html
    ├── time_analysis.html
    ├── user_influence.html
    └── user_portraits.html
├── crawled_comments
    ├── douyin_comments_H_O7wyWOUQQ_20250312_181221.csv
    ├── douyin_comments__20250311_212326.csv
    ├── douyin_comments__20250311_223146.csv
    ├── douyin_comments__20250311_231655.csv
    ├── douyin_comments__20250312_001546.csv
    ├── douyin_comments__20250312_002242.csv
    ├── douyin_comments_fEJejTD6CQ8_20250524_000829.csv
    ├── douyin_comments_fEJejTD6CQ8_20250524_002249.csv
    ├── douyin_comments_i5g6kb83_20250312_001130.csv
    ├── douyin_comments_i5g6kb83_20250312_001710.csv
    ├── douyin_comments_i5g6kb83_20250312_003421.csv
    ├── douyin_comments_i5g6kb83_20250313_153107.csv
    └── douyin_comments_i5ph454C_20250312_233129.csv
├── douyin_analysis_results
    ├── README.md
    ├── comment_wordcloud.png
    ├── crawled_comments
    │   ├── douyin_comments_7505063238057889081_20250524_000454.csv
    │   ├── douyin_comments_fEJejTD6CQ8_20250524_001812.csv
    │   ├── douyin_comments_fEJejTD6CQ8_20250524_104505.csv
    │   ├── douyin_comments_fEJejTD6CQ8_20250524_105423.csv
    │   └── douyin_comments_fEJejTD6CQ8_20250524_113220.csv
    ├── hot_words.html
    ├── location_analysis.html
    ├── requirements.txt
    ├── time_analysis.html
    ├── 抖音工具集.py
    ├── 抖音数据分析器.py
    ├── 抖音视频搜索.py
    ├── 抖音评论分析器_旧版.py
    └── 抖音评论爬虫.py
└── requirements.txt


/.gitignore:
--------------------------------------------------------------------------------
 1 | # Python 临时文件
 2 | __pycache__/
 3 | *.py[cod]
 4 | *$py.class
 5 | *.so
 6 | .Python
 7 | env/
 8 | build/
 9 | develop-eggs/
10 | dist/
11 | downloads/
12 | eggs/
13 | .eggs/
14 | lib/
15 | lib64/
16 | parts/
17 | sdist/
18 | var/
19 | *.egg-info/
20 | .installed.cfg
21 | *.egg
22 | 
23 | # 虚拟环境
24 | venv/
25 | ENV/
26 | .env
27 | 
28 | # IDE相关文件
29 | .idea/
30 | .vscode/
31 | *.swp
32 | *.swo
33 | 
34 | # 日志文件
35 | logs/
36 | *.log
37 | 
38 | # 系统文件
39 | .DS_Store
40 | Thumbs.db
41 | 
42 | # 配置文件中可能包含的敏感信息
43 | config.ini
44 | secrets.json
45 | 
46 | # 缓存目录
47 | .pytest_cache/
48 | .coverage
49 | htmlcov/
50 | 
51 | # 可能的大数据文件
52 | # *.csv  # 注释掉，保留CSV数据文件
53 | *.xlsx
54 | *.db
55 | *.sqlite3
56 | 
57 | # 但保留项目必要的样例数据文件和爬取的评论数据
58 | !example_data/*.csv
59 | !crawled_comments/*.csv
60 | !analysis_results/*.csv 


--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
 1 | # 抖音评论爬取与分析工具
 2 | 
 3 | ## 功能介绍
 4 | 
 5 | 这是一个强大的抖音评论爬取与分析工具，具有以下功能：
 6 | 
 7 | 1. **评论爬取**：自动爬取指定抖音视频的评论数据
 8 |    - 支持各种格式的抖音链接（短链接和标准链接）
 9 |    - 支持爬取全部评论，不受页数限制
10 |    - 自动处理滚动和加载，提高评论获取的成功率
11 |    - 支持提取评论的回复内容
12 |    - 详细的评论元数据提取（用户信息、时间、位置等）
13 | 
14 | 2. **基础分析功能**：
15 |    - 评论词云生成
16 |    - 评论地区分布分析
17 |    - 评论时间分布分析
18 |    - 热门词汇统计
19 |    - 情感分析
20 | 
21 | 3. **高级数据分析功能**：
22 |    - **用户群体画像分析**：分析用户特征、活跃时间、地域分布和语言风格
23 |    - **评论互动关系图**：可视化用户间的回复和互动关系
24 |    - **内容标签分布分析**：自动提取和分析评论主题与标签
25 |    - **用户活跃度与影响力分析**：识别高影响力用户和活跃用户
26 |    - **热点话题识别与趋势追踪**：分析评论中的热点话题及其时间变化
27 | 
28 | ## 安装依赖
29 | 
30 | ```bash
31 | pip install -r requirements.txt
32 | ```
33 | 
34 | ## 使用方法
35 | 
36 | ### 运行主程序
37 | 
38 | ```bash
39 | python douyin_analysis_results/douyin_tool.py
40 | ```
41 | 
42 | ### 爬取评论
43 | 
44 | 1. 选择菜单中的"爬取新的评论并分析"
45 | 2. 输入抖音视频URL（支持多种格式）
46 | 3. 设置最大爬取页数（直接回车表示爬取全部评论）
47 | 4. 选择是否使用正常浏览器模式（可以登录账号查看评论）
48 | 5. 等待爬取完成
49 | 
50 | ### 分析评论
51 | 
52 | 1. 选择菜单中的"分析已有的评论数据"
53 | 2. 选择要分析的CSV文件
54 | 3. 选择词云形状图片（可选）
55 | 4. 等待分析完成，结果将保存在`analysis_results`目录下
56 | 
57 | ## 分析功能详解
58 | 
59 | ### 1. 用户群体画像分析
60 | 
61 | - **语言风格分析**：识别用户使用的网络流行语、学生用语、职场用语等
62 | - **活跃时段分析**：分析用户在一天中的活跃时间分布
63 | - **互动频率分析**：区分高频、中频和低频互动用户
64 | - **地域分布热力图**：以地图形式展示用户地理分布
65 | 
66 | ### 2. 评论互动关系图分析
67 | 
68 | - **用户互动网络**：可视化用户之间的回复和互动关系
69 | - **中心用户识别**：自动识别网络中的中心用户和意见领袖
70 | - **互动模式分析**：分析用户间的互动模式和社交结构
71 | 
72 | ### 3. 内容标签分布分析
73 | 
74 | - **主题分类**：将评论内容自动分类到预定义主题
75 | - **关键词提取**：基于内容提取主要关键词和话题标签
76 | - **热门标签统计**：分析评论中出现的热门标签和话题
77 | 
78 | ### 4. 用户活跃度与影响力分析
79 | 
80 | - **活跃用户排行**：根据评论频率识别最活跃的用户
81 | - **影响力得分**：基于评论数、点赞数和评论质量计算用户影响力
82 | - **内容贡献分析**：识别提供高质量内容的用户
83 | 
84 | ### 5. 热点话题识别与追踪
85 | 
86 | - **话题识别**：自动识别评论中的主要话题
87 | - **时间趋势分析**：追踪话题热度随时间的变化
88 | - **关键词重要性**：使用TF-IDF技术分析关键词的重要性
89 | - **突发热点识别**：检测评论中出现的突发热点话题
90 | 
91 | ## 注意事项
92 | 
93 | - 使用前请确保安装了所有依赖项
94 | - 首次运行时可能需要下载浏览器驱动
95 | - 爬取大量评论可能需要较长时间
96 | - 部分分析功能可能需要较高的系统配置 


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/analysis_results/comment_wordcloud.png:
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https://raw.githubusercontent.com/crownoranges/douyin-comment/24c6ff6324449a4294b6a713cab58412cd420819/analysis_results/comment_wordcloud.png


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419 |             "drawOutOfBound": false,
420 |             "textStyle": {
421 |                 "emphasis": {}
422 |             }
423 |         }
424 |     ],
425 |     "legend": [
426 |         {
427 |             "data": [],
428 |             "selected": {},
429 |             "show": true,
430 |             "padding": 5,
431 |             "itemGap": 10,
432 |             "itemWidth": 25,
433 |             "itemHeight": 14,
434 |             "backgroundColor": "transparent",
435 |             "borderColor": "#ccc",
436 |             "borderRadius": 0,
437 |             "pageButtonItemGap": 5,
438 |             "pageButtonPosition": "end",
439 |             "pageFormatter": "{current}/{total}",
440 |             "pageIconColor": "#2f4554",
441 |             "pageIconInactiveColor": "#aaa",
442 |             "pageIconSize": 15,
443 |             "animationDurationUpdate": 800,
444 |             "selector": false,
445 |             "selectorPosition": "auto",
446 |             "selectorItemGap": 7,
447 |             "selectorButtonGap": 10
448 |         }
449 |     ],
450 |     "tooltip": {
451 |         "show": true,
452 |         "trigger": "item",
453 |         "triggerOn": "mousemove|click",
454 |         "axisPointer": {
455 |             "type": "line"
456 |         },
457 |         "showContent": true,
458 |         "alwaysShowContent": false,
459 |         "showDelay": 0,
460 |         "hideDelay": 100,
461 |         "enterable": false,
462 |         "confine": false,
463 |         "appendToBody": false,
464 |         "transitionDuration": 0.4,
465 |         "textStyle": {
466 |             "fontSize": 14
467 |         },
468 |         "borderWidth": 0,
469 |         "padding": 5,
470 |         "order": "seriesAsc"
471 |     },
472 |     "title": [
473 |         {
474 |             "show": true,
475 |             "text": "\u70ed\u95e8\u8bdd\u9898\u8bcd\u4e91",
476 |             "target": "blank",
477 |             "subtarget": "blank",
478 |             "padding": 5,
479 |             "itemGap": 10,
480 |             "textAlign": "auto",
481 |             "textVerticalAlign": "auto",
482 |             "triggerEvent": false
483 |         }
484 |     ]
485 | };
486 |         chart_44b24f37b37f4608b298f1168a2131c9.setOption(option_44b24f37b37f4608b298f1168a2131c9);
487 |     </script>
488 | <br/>    </div>
489 |     <script>
490 |     </script>
491 | </body>
492 | </html>
493 | 


--------------------------------------------------------------------------------
/analysis_results/hot_words.html:
--------------------------------------------------------------------------------
  1 | <!DOCTYPE html>
  2 | <html>
  3 | <head>
  4 |     <meta charset="UTF-8">
  5 |     <title>Awesome-pyecharts</title>
  6 |                 <script type="text/javascript" src="https://assets.pyecharts.org/assets/v5/echarts.min.js"></script>
  7 |             <script type="text/javascript" src="https://assets.pyecharts.org/assets/v5/echarts-wordcloud.min.js"></script>
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  9 |     
 10 | </head>
 11 | <body >
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 13 |     <script>
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 15 |             document.getElementById('7fc88641e5094f0fba68a055c1fef990'), 'light', {renderer: 'canvas'});
 16 |         var option_7fc88641e5094f0fba68a055c1fef990 = {
 17 |     "animation": true,
 18 |     "animationThreshold": 2000,
 19 |     "animationDuration": 1000,
 20 |     "animationEasing": "cubicOut",
 21 |     "animationDelay": 0,
 22 |     "animationDurationUpdate": 300,
 23 |     "animationEasingUpdate": "cubicOut",
 24 |     "animationDelayUpdate": 0,
 25 |     "aria": {
 26 |         "enabled": false
 27 |     },
 28 |     "series": [
 29 |         {
 30 |             "type": "wordCloud",
 31 |             "shape": "circle",
 32 |             "rotationRange": [
 33 |                 -90,
 34 |                 90
 35 |             ],
 36 |             "rotationStep": 45,
 37 |             "girdSize": 20,
 38 |             "sizeRange": [
 39 |                 20,
 40 |                 100
 41 |             ],
 42 |             "data": [
 43 |                 {
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 45 |                     "value": 29,
 46 |                     "textStyle": {
 47 |                         "color": "rgb(45,0,160)"
 48 |                     }
 49 |                 },
 50 |                 {
 51 |                     "name": "\u8bb0\u5f55",
 52 |                     "value": 23,
 53 |                     "textStyle": {
 54 |                         "color": "rgb(15,101,70)"
 55 |                     }
 56 |                 },
 57 |                 {
 58 |                     "name": "\u751f\u6d3b",
 59 |                     "value": 22,
 60 |                     "textStyle": {
 61 |                         "color": "rgb(44,134,47)"
 62 |                     }
 63 |                 },
 64 |                 {
 65 |                     "name": "\u559c\u6b22",
 66 |                     "value": 19,
 67 |                     "textStyle": {
 68 |                         "color": "rgb(136,21,116)"
 69 |                     }
 70 |                 },
 71 |                 {
 72 |                     "name": "\u6ce3\u4e0d\u6210\u58f0",
 73 |                     "value": 18,
 74 |                     "textStyle": {
 75 |                         "color": "rgb(36,44,130)"
 76 |                     }
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 78 |                 {
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 80 |                     "value": 17,
 81 |                     "textStyle": {
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 86 |                     "name": "\u5e78\u798f",
 87 |                     "value": 16,
 88 |                     "textStyle": {
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 90 |                     }
 91 |                 },
 92 |                 {
 93 |                     "name": "\u73ab\u7470",
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 95 |                     "textStyle": {
 96 |                         "color": "rgb(157,134,54)"
 97 |                     }
 98 |                 },
 99 |                 {
100 |                     "name": "\u53ea\u6709",
101 |                     "value": 16,
102 |                     "textStyle": {
103 |                         "color": "rgb(111,30,49)"
104 |                     }
105 |                 },
106 |                 {
107 |                     "name": "nan",
108 |                     "value": 15,
109 |                     "textStyle": {
110 |                         "color": "rgb(113,90,53)"
111 |                     }
112 |                 },
113 |                 {
114 |                     "name": "60",
115 |                     "value": 15,
116 |                     "textStyle": {
117 |                         "color": "rgb(19,119,23)"
118 |                     }
119 |                 },
120 |                 {
121 |                     "name": "\u4e0d\u80fd",
122 |                     "value": 14,
123 |                     "textStyle": {
124 |                         "color": "rgb(27,133,132)"
125 |                     }
126 |                 },
127 |                 {
128 |                     "name": "love",
129 |                     "value": 13,
130 |                     "textStyle": {
131 |                         "color": "rgb(112,86,28)"
132 |                     }
133 |                 },
134 |                 {
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136 |                     "value": 13,
137 |                     "textStyle": {
138 |                         "color": "rgb(150,15,115)"
139 |                     }
140 |                 },
141 |                 {
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146 |                     }
147 |                 },
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151 |                     "textStyle": {
152 |                         "color": "rgb(86,146,16)"
153 |                     }
154 |                 },
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158 |                     "textStyle": {
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160 |                     }
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162 |                 {
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165 |                     "textStyle": {
166 |                         "color": "rgb(87,115,34)"
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168 |                 },
169 |                 {
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172 |                     "textStyle": {
173 |                         "color": "rgb(16,155,65)"
174 |                     }
175 |                 },
176 |                 {
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178 |                     "value": 12,
179 |                     "textStyle": {
180 |                         "color": "rgb(104,141,15)"
181 |                     }
182 |                 },
183 |                 {
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186 |                     "textStyle": {
187 |                         "color": "rgb(0,27,56)"
188 |                     }
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190 |                 {
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227 |                     "value": 10,
228 |                     "textStyle": {
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235 |                     "textStyle": {
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238 |                 },
239 |                 {
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242 |                     "textStyle": {
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244 |                     }
245 |                 },
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250 |                         "color": "rgb(101,27,100)"
251 |                     }
252 |                 },
253 |                 {
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256 |                     "textStyle": {
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260 |                 {
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262 |                     "value": 9,
263 |                     "textStyle": {
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266 |                 },
267 |                 {
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270 |                     "textStyle": {
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274 |                 {
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433 |         "alwaysShowContent": false,
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444 |         "padding": 5,
445 |         "order": "seriesAsc"
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448 |         {
449 |             "show": true,
450 |             "text": "\u70ed\u95e8\u8bcd\u6c47 Top 50",
451 |             "target": "blank",
452 |             "subtarget": "blank",
453 |             "padding": 5,
454 |             "itemGap": 10,
455 |             "textAlign": "auto",
456 |             "textVerticalAlign": "auto",
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462 |         "orient": "horizontal",
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464 |         "itemGap": 10,
465 |         "left": "80%",
466 |         "feature": {
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468 |                 "type": "png",
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472 |                 "title": "\u4fdd\u5b58\u4e3a\u56fe\u7247",
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477 |                 "title": "\u8fd8\u539f"
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481 |                 "title": "\u6570\u636e\u89c6\u56fe",
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483 |                 "lang": [
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489 |                 "textareaColor": "#fff",
490 |                 "textareaBorderColor": "#333",
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492 |                 "buttonColor": "#c23531",
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494 |             },
495 |             "dataZoom": {
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497 |                 "title": {
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499 |                     "back": "\u533a\u57df\u7f29\u653e\u8fd8\u539f"
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502 |                 "filterMode": "filter"
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506 |                 "type": [
507 |                     "line",
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509 |                     "stack",
510 |                     "tiled"
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519 |             }
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521 |     }
522 | };
523 |         chart_7fc88641e5094f0fba68a055c1fef990.setOption(option_7fc88641e5094f0fba68a055c1fef990);
524 |     </script>
525 | </body>
526 | </html>
527 | 


--------------------------------------------------------------------------------
/analysis_results/location_analysis.html:
--------------------------------------------------------------------------------
  1 | <!DOCTYPE html>
  2 | <html>
  3 | <head>
  4 |     <meta charset="UTF-8">
  5 |     <title>Awesome-pyecharts</title>
  6 |                 <script type="text/javascript" src="https://assets.pyecharts.org/assets/v5/echarts.min.js"></script>
  7 | 
  8 |     
  9 | </head>
 10 | <body >
 11 |     <div id="ae183a9bcc1345849fcf9ae7d2792844" class="chart-container" style="width:900px; height:500px; "></div>
 12 |     <script>
 13 |         var chart_ae183a9bcc1345849fcf9ae7d2792844 = echarts.init(
 14 |             document.getElementById('ae183a9bcc1345849fcf9ae7d2792844'), 'light', {renderer: 'canvas'});
 15 |         var option_ae183a9bcc1345849fcf9ae7d2792844 = {
 16 |     "animation": true,
 17 |     "animationThreshold": 2000,
 18 |     "animationDuration": 1000,
 19 |     "animationEasing": "cubicOut",
 20 |     "animationDelay": 0,
 21 |     "animationDurationUpdate": 300,
 22 |     "animationEasingUpdate": "cubicOut",
 23 |     "animationDelayUpdate": 0,
 24 |     "aria": {
 25 |         "enabled": false
 26 |     },
 27 |     "series": [
 28 |         {
 29 |             "type": "pie",
 30 |             "colorBy": "data",
 31 |             "legendHoverLink": true,
 32 |             "selectedMode": false,
 33 |             "selectedOffset": 10,
 34 |             "clockwise": true,
 35 |             "startAngle": 90,
 36 |             "minAngle": 0,
 37 |             "minShowLabelAngle": 0,
 38 |             "avoidLabelOverlap": true,
 39 |             "stillShowZeroSum": true,
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 41 |             "showEmptyCircle": true,
 42 |             "emptyCircleStyle": {
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 48 |                 "borderCap": "butt",
 49 |                 "borderJoin": "bevel",
 50 |                 "borderMiterLimit": 10,
 51 |                 "opacity": 1
 52 |             },
 53 |             "data": [
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 61 |                 },
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100 |                     "value": null
101 |                 },
102 |                 {
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105 |                 },
106 |                 {
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109 |                 },
110 |                 {
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113 |                 }
114 |             ],
115 |             "radius": [
116 |                 "30%",
117 |                 "75%"
118 |             ],
119 |             "center": [
120 |                 "50%",
121 |                 "50%"
122 |             ],
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124 |             "label": {
125 |                 "show": true,
126 |                 "margin": 8,
127 |                 "formatter": "{b}: {c} ({d}%)",
128 |                 "valueAnimation": false
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137 |                 "maxSurfaceAngle": 90
138 |             },
139 |             "rippleEffect": {
140 |                 "show": true,
141 |                 "brushType": "stroke",
142 |                 "scale": 2.5,
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144 |             }
145 |         }
146 |     ],
147 |     "legend": [
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164 |                 "\u5c71\u897f"
165 |             ],
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167 |             "show": true,
168 |             "left": "5%",
169 |             "top": "15%",
170 |             "orient": "vertical",
171 |             "padding": 5,
172 |             "itemGap": 10,
173 |             "itemWidth": 25,
174 |             "itemHeight": 14,
175 |             "backgroundColor": "transparent",
176 |             "borderColor": "#ccc",
177 |             "borderRadius": 0,
178 |             "pageButtonItemGap": 5,
179 |             "pageButtonPosition": "end",
180 |             "pageFormatter": "{current}/{total}",
181 |             "pageIconColor": "#2f4554",
182 |             "pageIconInactiveColor": "#aaa",
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185 |             "selector": false,
186 |             "selectorPosition": "auto",
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188 |             "selectorButtonGap": 10
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190 |     ],
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193 |         "trigger": "item",
194 |         "triggerOn": "mousemove|click",
195 |         "axisPointer": {
196 |             "type": "line"
197 |         },
198 |         "showContent": true,
199 |         "alwaysShowContent": false,
200 |         "showDelay": 0,
201 |         "hideDelay": 100,
202 |         "enterable": false,
203 |         "confine": false,
204 |         "appendToBody": false,
205 |         "transitionDuration": 0.4,
206 |         "textStyle": {
207 |             "fontSize": 14
208 |         },
209 |         "borderWidth": 0,
210 |         "padding": 5,
211 |         "order": "seriesAsc"
212 |     },
213 |     "title": [
214 |         {
215 |             "show": true,
216 |             "text": "\u8bc4\u8bba\u5730\u533a\u5206\u5e03",
217 |             "target": "blank",
218 |             "subtarget": "blank",
219 |             "padding": 5,
220 |             "itemGap": 10,
221 |             "textAlign": "auto",
222 |             "textVerticalAlign": "auto",
223 |             "triggerEvent": false
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225 |     ],
226 |     "toolbox": {
227 |         "show": true,
228 |         "orient": "horizontal",
229 |         "itemSize": 15,
230 |         "itemGap": 10,
231 |         "left": "80%",
232 |         "feature": {
233 |             "saveAsImage": {
234 |                 "type": "png",
235 |                 "backgroundColor": "auto",
236 |                 "connectedBackgroundColor": "#fff",
237 |                 "show": true,
238 |                 "title": "\u4fdd\u5b58\u4e3a\u56fe\u7247",
239 |                 "pixelRatio": 1
240 |             },
241 |             "restore": {
242 |                 "show": true,
243 |                 "title": "\u8fd8\u539f"
244 |             },
245 |             "dataView": {
246 |                 "show": true,
247 |                 "title": "\u6570\u636e\u89c6\u56fe",
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249 |                 "lang": [
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251 |                     "\u5173\u95ed",
252 |                     "\u5237\u65b0"
253 |                 ],
254 |                 "backgroundColor": "#fff",
255 |                 "textareaColor": "#fff",
256 |                 "textareaBorderColor": "#333",
257 |                 "textColor": "#000",
258 |                 "buttonColor": "#c23531",
259 |                 "buttonTextColor": "#fff"
260 |             },
261 |             "dataZoom": {
262 |                 "show": true,
263 |                 "title": {
264 |                     "zoom": "\u533a\u57df\u7f29\u653e",
265 |                     "back": "\u533a\u57df\u7f29\u653e\u8fd8\u539f"
266 |                 },
267 |                 "icon": {},
268 |                 "filterMode": "filter"
269 |             },
270 |             "magicType": {
271 |                 "show": true,
272 |                 "type": [
273 |                     "line",
274 |                     "bar",
275 |                     "stack",
276 |                     "tiled"
277 |                 ],
278 |                 "title": {
279 |                     "line": "\u5207\u6362\u4e3a\u6298\u7ebf\u56fe",
280 |                     "bar": "\u5207\u6362\u4e3a\u67f1\u72b6\u56fe",
281 |                     "stack": "\u5207\u6362\u4e3a\u5806\u53e0",
282 |                     "tiled": "\u5207\u6362\u4e3a\u5e73\u94fa"
283 |                 },
284 |                 "icon": {}
285 |             }
286 |         }
287 |     }
288 | };
289 |         chart_ae183a9bcc1345849fcf9ae7d2792844.setOption(option_ae183a9bcc1345849fcf9ae7d2792844);
290 |     </script>
291 | </body>
292 | </html>
293 | 


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  1 | <!DOCTYPE html>
  2 | <html>
  3 | <head>
  4 |     <meta charset="UTF-8">
  5 |     <title>Awesome-pyecharts</title>
  6 |                 <script type="text/javascript" src="https://assets.pyecharts.org/assets/v5/echarts.min.js"></script>
  7 | 
  8 |     
  9 | </head>
 10 | <body >
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 13 |         var chart_9c2dfbf2bfbd4ce2bdfdf26e1a717f47 = echarts.init(
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 15 |         var option_9c2dfbf2bfbd4ce2bdfdf26e1a717f47 = {
 16 |     "animation": true,
 17 |     "animationThreshold": 2000,
 18 |     "animationDuration": 1000,
 19 |     "animationEasing": "cubicOut",
 20 |     "animationDelay": 0,
 21 |     "animationDurationUpdate": 300,
 22 |     "animationEasingUpdate": "cubicOut",
 23 |     "animationDelayUpdate": 0,
 24 |     "aria": {
 25 |         "enabled": false
 26 |     },
 27 |     "series": [
 28 |         {
 29 |             "type": "pie",
 30 |             "colorBy": "data",
 31 |             "legendHoverLink": true,
 32 |             "selectedMode": false,
 33 |             "selectedOffset": 10,
 34 |             "clockwise": true,
 35 |             "startAngle": 90,
 36 |             "minAngle": 0,
 37 |             "minShowLabelAngle": 0,
 38 |             "avoidLabelOverlap": true,
 39 |             "stillShowZeroSum": true,
 40 |             "percentPrecision": 2,
 41 |             "showEmptyCircle": true,
 42 |             "emptyCircleStyle": {
 43 |                 "color": "lightgray",
 44 |                 "borderColor": "#000",
 45 |                 "borderWidth": 0,
 46 |                 "borderType": "solid",
 47 |                 "borderDashOffset": 0,
 48 |                 "borderCap": "butt",
 49 |                 "borderJoin": "bevel",
 50 |                 "borderMiterLimit": 10,
 51 |                 "opacity": 1
 52 |             },
 53 |             "data": [
 54 |                 {
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 56 |                     "value": null
 57 |                 },
 58 |                 {
 59 |                     "name": "\u6b63\u9762",
 60 |                     "value": null
 61 |                 },
 62 |                 {
 63 |                     "name": "\u8d1f\u9762",
 64 |                     "value": null
 65 |                 }
 66 |             ],
 67 |             "radius": [
 68 |                 "30%",
 69 |                 "75%"
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 71 |             "center": [
 72 |                 "50%",
 73 |                 "50%"
 74 |             ],
 75 |             "label": {
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 77 |                 "margin": 8,
 78 |                 "formatter": "{b}: {c} ({d}%)",
 79 |                 "valueAnimation": false
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 85 |                 "length2": 15,
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103 |                 "\u8d1f\u9762"
104 |             ],
105 |             "selected": {},
106 |             "show": true,
107 |             "left": "5%",
108 |             "top": "15%",
109 |             "orient": "vertical",
110 |             "padding": 5,
111 |             "itemGap": 10,
112 |             "itemWidth": 25,
113 |             "itemHeight": 14,
114 |             "backgroundColor": "transparent",
115 |             "borderColor": "#ccc",
116 |             "borderRadius": 0,
117 |             "pageButtonItemGap": 5,
118 |             "pageButtonPosition": "end",
119 |             "pageFormatter": "{current}/{total}",
120 |             "pageIconColor": "#2f4554",
121 |             "pageIconInactiveColor": "#aaa",
122 |             "pageIconSize": 15,
123 |             "animationDurationUpdate": 800,
124 |             "selector": false,
125 |             "selectorPosition": "auto",
126 |             "selectorItemGap": 7,
127 |             "selectorButtonGap": 10
128 |         }
129 |     ],
130 |     "tooltip": {
131 |         "show": true,
132 |         "trigger": "item",
133 |         "triggerOn": "mousemove|click",
134 |         "axisPointer": {
135 |             "type": "line"
136 |         },
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138 |         "alwaysShowContent": false,
139 |         "showDelay": 0,
140 |         "hideDelay": 100,
141 |         "enterable": false,
142 |         "confine": false,
143 |         "appendToBody": false,
144 |         "transitionDuration": 0.4,
145 |         "textStyle": {
146 |             "fontSize": 14
147 |         },
148 |         "borderWidth": 0,
149 |         "padding": 5,
150 |         "order": "seriesAsc"
151 |     },
152 |     "title": [
153 |         {
154 |             "show": true,
155 |             "text": "\u8bc4\u8bba\u60c5\u611f\u5206\u5e03",
156 |             "target": "blank",
157 |             "subtarget": "blank",
158 |             "padding": 5,
159 |             "itemGap": 10,
160 |             "textAlign": "auto",
161 |             "textVerticalAlign": "auto",
162 |             "triggerEvent": false
163 |         }
164 |     ],
165 |     "toolbox": {
166 |         "show": true,
167 |         "orient": "horizontal",
168 |         "itemSize": 15,
169 |         "itemGap": 10,
170 |         "left": "80%",
171 |         "feature": {
172 |             "saveAsImage": {
173 |                 "type": "png",
174 |                 "backgroundColor": "auto",
175 |                 "connectedBackgroundColor": "#fff",
176 |                 "show": true,
177 |                 "title": "\u4fdd\u5b58\u4e3a\u56fe\u7247",
178 |                 "pixelRatio": 1
179 |             },
180 |             "restore": {
181 |                 "show": true,
182 |                 "title": "\u8fd8\u539f"
183 |             },
184 |             "dataView": {
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186 |                 "title": "\u6570\u636e\u89c6\u56fe",
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188 |                 "lang": [
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190 |                     "\u5173\u95ed",
191 |                     "\u5237\u65b0"
192 |                 ],
193 |                 "backgroundColor": "#fff",
194 |                 "textareaColor": "#fff",
195 |                 "textareaBorderColor": "#333",
196 |                 "textColor": "#000",
197 |                 "buttonColor": "#c23531",
198 |                 "buttonTextColor": "#fff"
199 |             },
200 |             "dataZoom": {
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202 |                 "title": {
203 |                     "zoom": "\u533a\u57df\u7f29\u653e",
204 |                     "back": "\u533a\u57df\u7f29\u653e\u8fd8\u539f"
205 |                 },
206 |                 "icon": {},
207 |                 "filterMode": "filter"
208 |             },
209 |             "magicType": {
210 |                 "show": true,
211 |                 "type": [
212 |                     "line",
213 |                     "bar",
214 |                     "stack",
215 |                     "tiled"
216 |                 ],
217 |                 "title": {
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219 |                     "bar": "\u5207\u6362\u4e3a\u67f1\u72b6\u56fe",
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221 |                     "tiled": "\u5207\u6362\u4e3a\u5e73\u94fa"
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224 |             }
225 |         }
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227 | };
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229 |     </script>
230 | </body>
231 | </html>
232 | 


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--------------------------------------------------------------------------------
  1 | <!DOCTYPE html>
  2 | <html>
  3 | <head>
  4 |     <meta charset="UTF-8">
  5 |     <title>Awesome-pyecharts</title>
  6 |                 <script type="text/javascript" src="https://assets.pyecharts.org/assets/v5/echarts.min.js"></script>
  7 | 
  8 |     
  9 | </head>
 10 | <body >
 11 |     <div id="c973280e2450498d895ac746b57dbb32" class="chart-container" style="width:900px; height:500px; "></div>
 12 |     <script>
 13 |         var chart_c973280e2450498d895ac746b57dbb32 = echarts.init(
 14 |             document.getElementById('c973280e2450498d895ac746b57dbb32'), 'light', {renderer: 'canvas'});
 15 |         var option_c973280e2450498d895ac746b57dbb32 = {
 16 |     "animation": true,
 17 |     "animationThreshold": 2000,
 18 |     "animationDuration": 1000,
 19 |     "animationEasing": "cubicOut",
 20 |     "animationDelay": 0,
 21 |     "animationDurationUpdate": 300,
 22 |     "animationEasingUpdate": "cubicOut",
 23 |     "animationDelayUpdate": 0,
 24 |     "aria": {
 25 |         "enabled": false
 26 |     },
 27 |     "series": [
 28 |         {
 29 |             "type": "bar",
 30 |             "name": "\u8bc4\u8bba\u6570",
 31 |             "legendHoverLink": true,
 32 |             "data": [
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 58 |             "realtimeSort": false,
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 60 |             "stackStrategy": "samesign",
 61 |             "cursor": "pointer",
 62 |             "barMinHeight": 0,
 63 |             "barCategoryGap": "20%",
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 67 |             "seriesLayoutBy": "column",
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 69 |             "clip": true,
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 71 |             "z": 2,
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 94 |             "pageButtonPosition": "end",
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 96 |             "pageIconColor": "#2f4554",
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100 |             "selector": false,
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105 |     ],
106 |     "tooltip": {
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108 |         "trigger": "item",
109 |         "triggerOn": "mousemove|click",
110 |         "axisPointer": {
111 |             "type": "line"
112 |         },
113 |         "showContent": true,
114 |         "alwaysShowContent": false,
115 |         "showDelay": 0,
116 |         "hideDelay": 100,
117 |         "enterable": false,
118 |         "confine": false,
119 |         "appendToBody": false,
120 |         "transitionDuration": 0.4,
121 |         "textStyle": {
122 |             "fontSize": 14
123 |         },
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125 |         "padding": 5,
126 |         "order": "seriesAsc"
127 |     },
128 |     "xAxis": [
129 |         {
130 |             "name": "\u5c0f\u65f6",
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132 |             "scale": false,
133 |             "nameLocation": "end",
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145 |                     "opacity": 1,
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193 |             "gridIndex": 0,
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204 |                     "curveness": 0,
205 |                     "type": "solid"
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209 |             "animationThreshold": 2000,
210 |             "animationDuration": 1000,
211 |             "animationEasing": "cubicOut",
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213 |             "animationDurationUpdate": 300,
214 |             "animationEasingUpdate": "cubicOut",
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221 |             "text": "\u8bc4\u8bba\u65f6\u95f4\u5206\u5e03 (\u5c0f\u65f6)",
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223 |             "subtarget": "blank",
224 |             "padding": 5,
225 |             "itemGap": 10,
226 |             "textAlign": "auto",
227 |             "textVerticalAlign": "auto",
228 |             "triggerEvent": false
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230 |     ],
231 |     "toolbox": {
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233 |         "orient": "horizontal",
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235 |         "itemGap": 10,
236 |         "left": "80%",
237 |         "feature": {
238 |             "saveAsImage": {
239 |                 "type": "png",
240 |                 "backgroundColor": "auto",
241 |                 "connectedBackgroundColor": "#fff",
242 |                 "show": true,
243 |                 "title": "\u4fdd\u5b58\u4e3a\u56fe\u7247",
244 |                 "pixelRatio": 1
245 |             },
246 |             "restore": {
247 |                 "show": true,
248 |                 "title": "\u8fd8\u539f"
249 |             },
250 |             "dataView": {
251 |                 "show": true,
252 |                 "title": "\u6570\u636e\u89c6\u56fe",
253 |                 "readOnly": false,
254 |                 "lang": [
255 |                     "\u6570\u636e\u89c6\u56fe",
256 |                     "\u5173\u95ed",
257 |                     "\u5237\u65b0"
258 |                 ],
259 |                 "backgroundColor": "#fff",
260 |                 "textareaColor": "#fff",
261 |                 "textareaBorderColor": "#333",
262 |                 "textColor": "#000",
263 |                 "buttonColor": "#c23531",
264 |                 "buttonTextColor": "#fff"
265 |             },
266 |             "dataZoom": {
267 |                 "show": true,
268 |                 "title": {
269 |                     "zoom": "\u533a\u57df\u7f29\u653e",
270 |                     "back": "\u533a\u57df\u7f29\u653e\u8fd8\u539f"
271 |                 },
272 |                 "icon": {},
273 |                 "filterMode": "filter"
274 |             },
275 |             "magicType": {
276 |                 "show": true,
277 |                 "type": [
278 |                     "line",
279 |                     "bar",
280 |                     "stack",
281 |                     "tiled"
282 |                 ],
283 |                 "title": {
284 |                     "line": "\u5207\u6362\u4e3a\u6298\u7ebf\u56fe",
285 |                     "bar": "\u5207\u6362\u4e3a\u67f1\u72b6\u56fe",
286 |                     "stack": "\u5207\u6362\u4e3a\u5806\u53e0",
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288 |                 },
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294 |         chart_c973280e2450498d895ac746b57dbb32.setOption(option_c973280e2450498d895ac746b57dbb32);
295 |     </script>
296 | </body>
297 | </html>
298 | 


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/analysis_results/user_portraits.html:
--------------------------------------------------------------------------------
  1 | <!DOCTYPE html>
  2 | <html>
  3 | <head>
  4 |     <meta charset="UTF-8">
  5 |     <title>Awesome-pyecharts</title>
  6 |                 <script type="text/javascript" src="https://assets.pyecharts.org/assets/v5/echarts.min.js"></script>
  7 |             <script type="text/javascript" src="https://assets.pyecharts.org/assets/v5/maps/china.js"></script>
  8 | 
  9 |     
 10 | </head>
 11 | <body >
 12 |     <style>.box { justify-content:center; display:flex; flex-wrap:wrap;  } </style>
 13 |     <div class="box">
 14 |                 <div id="d90e4e6ac63b45318e59f5ffbfb8dcab" class="chart-container" style="width:500px; height:400px; "></div>
 15 |     <script>
 16 |         var chart_d90e4e6ac63b45318e59f5ffbfb8dcab = echarts.init(
 17 |             document.getElementById('d90e4e6ac63b45318e59f5ffbfb8dcab'), 'light', {renderer: 'canvas'});
 18 |         var option_d90e4e6ac63b45318e59f5ffbfb8dcab = {
 19 |     "animation": true,
 20 |     "animationThreshold": 2000,
 21 |     "animationDuration": 1000,
 22 |     "animationEasing": "cubicOut",
 23 |     "animationDelay": 0,
 24 |     "animationDurationUpdate": 300,
 25 |     "animationEasingUpdate": "cubicOut",
 26 |     "animationDelayUpdate": 0,
 27 |     "aria": {
 28 |         "enabled": false
 29 |     },
 30 |     "series": [
 31 |         {
 32 |             "type": "pie",
 33 |             "colorBy": "data",
 34 |             "legendHoverLink": true,
 35 |             "selectedMode": false,
 36 |             "selectedOffset": 10,
 37 |             "clockwise": true,
 38 |             "startAngle": 90,
 39 |             "minAngle": 0,
 40 |             "minShowLabelAngle": 0,
 41 |             "avoidLabelOverlap": true,
 42 |             "stillShowZeroSum": true,
 43 |             "percentPrecision": 2,
 44 |             "showEmptyCircle": true,
 45 |             "emptyCircleStyle": {
 46 |                 "color": "lightgray",
 47 |                 "borderColor": "#000",
 48 |                 "borderWidth": 0,
 49 |                 "borderType": "solid",
 50 |                 "borderDashOffset": 0,
 51 |                 "borderCap": "butt",
 52 |                 "borderJoin": "bevel",
 53 |                 "borderMiterLimit": 10,
 54 |                 "opacity": 1
 55 |             },
 56 |             "data": [
 57 |                 {
 58 |                     "name": "\u6df1\u591c (0-5\u70b9)",
 59 |                     "value": 51
 60 |                 },
 61 |                 {
 62 |                     "name": "\u65e9\u6668 (6-9\u70b9)",
 63 |                     "value": 31
 64 |                 },
 65 |                 {
 66 |                     "name": "\u5de5\u4f5c\u65f6\u95f4 (10-17\u70b9)",
 67 |                     "value": 147
 68 |                 },
 69 |                 {
 70 |                     "name": "\u665a\u95f4 (18-23\u70b9)",
 71 |                     "value": 168
 72 |                 }
 73 |             ],
 74 |             "radius": [
 75 |                 "30%",
 76 |                 "75%"
 77 |             ],
 78 |             "center": [
 79 |                 "50%",
 80 |                 "50%"
 81 |             ],
 82 |             "label": {
 83 |                 "show": true,
 84 |                 "margin": 8,
 85 |                 "formatter": "{b}: {c} ({d}%)",
 86 |                 "valueAnimation": false
 87 |             },
 88 |             "labelLine": {
 89 |                 "show": true,
 90 |                 "showAbove": false,
 91 |                 "length": 15,
 92 |                 "length2": 15,
 93 |                 "smooth": false,
 94 |                 "minTurnAngle": 90,
 95 |                 "maxSurfaceAngle": 90
 96 |             },
 97 |             "rippleEffect": {
 98 |                 "show": true,
 99 |                 "brushType": "stroke",
100 |                 "scale": 2.5,
101 |                 "period": 4
102 |             }
103 |         }
104 |     ],
105 |     "legend": [
106 |         {
107 |             "data": [
108 |                 "\u6df1\u591c (0-5\u70b9)",
109 |                 "\u65e9\u6668 (6-9\u70b9)",
110 |                 "\u5de5\u4f5c\u65f6\u95f4 (10-17\u70b9)",
111 |                 "\u665a\u95f4 (18-23\u70b9)"
112 |             ],
113 |             "selected": {},
114 |             "show": true,
115 |             "left": "5%",
116 |             "top": "15%",
117 |             "orient": "vertical",
118 |             "padding": 5,
119 |             "itemGap": 10,
120 |             "itemWidth": 25,
121 |             "itemHeight": 14,
122 |             "backgroundColor": "transparent",
123 |             "borderColor": "#ccc",
124 |             "borderRadius": 0,
125 |             "pageButtonItemGap": 5,
126 |             "pageButtonPosition": "end",
127 |             "pageFormatter": "{current}/{total}",
128 |             "pageIconColor": "#2f4554",
129 |             "pageIconInactiveColor": "#aaa",
130 |             "pageIconSize": 15,
131 |             "animationDurationUpdate": 800,
132 |             "selector": false,
133 |             "selectorPosition": "auto",
134 |             "selectorItemGap": 7,
135 |             "selectorButtonGap": 10
136 |         }
137 |     ],
138 |     "tooltip": {
139 |         "show": true,
140 |         "trigger": "item",
141 |         "triggerOn": "mousemove|click",
142 |         "axisPointer": {
143 |             "type": "line"
144 |         },
145 |         "showContent": true,
146 |         "alwaysShowContent": false,
147 |         "showDelay": 0,
148 |         "hideDelay": 100,
149 |         "enterable": false,
150 |         "confine": false,
151 |         "appendToBody": false,
152 |         "transitionDuration": 0.4,
153 |         "textStyle": {
154 |             "fontSize": 14
155 |         },
156 |         "borderWidth": 0,
157 |         "padding": 5,
158 |         "order": "seriesAsc"
159 |     },
160 |     "title": [
161 |         {
162 |             "show": true,
163 |             "text": "\u7528\u6237\u6d3b\u8dc3\u65f6\u6bb5\u5206\u5e03",
164 |             "target": "blank",
165 |             "subtarget": "blank",
166 |             "padding": 5,
167 |             "itemGap": 10,
168 |             "textAlign": "auto",
169 |             "textVerticalAlign": "auto",
170 |             "triggerEvent": false
171 |         }
172 |     ]
173 | };
174 |         chart_d90e4e6ac63b45318e59f5ffbfb8dcab.setOption(option_d90e4e6ac63b45318e59f5ffbfb8dcab);
175 |     </script>
176 | <br/>                <div id="1d815f28f07448f09d89a40bfda45411" class="chart-container" style="width:500px; height:400px; "></div>
177 |     <script>
178 |         var chart_1d815f28f07448f09d89a40bfda45411 = echarts.init(
179 |             document.getElementById('1d815f28f07448f09d89a40bfda45411'), 'light', {renderer: 'canvas'});
180 |         var option_1d815f28f07448f09d89a40bfda45411 = {
181 |     "animation": true,
182 |     "animationThreshold": 2000,
183 |     "animationDuration": 1000,
184 |     "animationEasing": "cubicOut",
185 |     "animationDelay": 0,
186 |     "animationDurationUpdate": 300,
187 |     "animationEasingUpdate": "cubicOut",
188 |     "animationDelayUpdate": 0,
189 |     "aria": {
190 |         "enabled": false
191 |     },
192 |     "series": [
193 |         {
194 |             "type": "pie",
195 |             "colorBy": "data",
196 |             "legendHoverLink": true,
197 |             "selectedMode": false,
198 |             "selectedOffset": 10,
199 |             "clockwise": true,
200 |             "startAngle": 90,
201 |             "minAngle": 0,
202 |             "minShowLabelAngle": 0,
203 |             "avoidLabelOverlap": true,
204 |             "stillShowZeroSum": true,
205 |             "percentPrecision": 2,
206 |             "showEmptyCircle": true,
207 |             "emptyCircleStyle": {
208 |                 "color": "lightgray",
209 |                 "borderColor": "#000",
210 |                 "borderWidth": 0,
211 |                 "borderType": "solid",
212 |                 "borderDashOffset": 0,
213 |                 "borderCap": "butt",
214 |                 "borderJoin": "bevel",
215 |                 "borderMiterLimit": 10,
216 |                 "opacity": 1
217 |             },
218 |             "data": [
219 |                 {
220 |                     "name": "\u7f51\u7edc\u6d41\u884c\u8bed",
221 |                     "value": 0
222 |                 },
223 |                 {
224 |                     "name": "\u5b66\u751f\u7528\u8bed",
225 |                     "value": 2
226 |                 },
227 |                 {
228 |                     "name": "\u804c\u573a\u7528\u8bed",
229 |                     "value": 1
230 |                 },
231 |                 {
232 |                     "name": "\u60c5\u611f\u8868\u8fbe",
233 |                     "value": 54
234 |                 },
235 |                 {
236 |                     "name": "\u6279\u5224\u6027\u8868\u8fbe",
237 |                     "value": 1
238 |                 }
239 |             ],
240 |             "radius": [
241 |                 "30%",
242 |                 "75%"
243 |             ],
244 |             "center": [
245 |                 "50%",
246 |                 "50%"
247 |             ],
248 |             "roseType": "radius",
249 |             "label": {
250 |                 "show": true,
251 |                 "margin": 8,
252 |                 "formatter": "{b}: {c} ({d}%)",
253 |                 "valueAnimation": false
254 |             },
255 |             "labelLine": {
256 |                 "show": true,
257 |                 "showAbove": false,
258 |                 "length": 15,
259 |                 "length2": 15,
260 |                 "smooth": false,
261 |                 "minTurnAngle": 90,
262 |                 "maxSurfaceAngle": 90
263 |             },
264 |             "rippleEffect": {
265 |                 "show": true,
266 |                 "brushType": "stroke",
267 |                 "scale": 2.5,
268 |                 "period": 4
269 |             }
270 |         }
271 |     ],
272 |     "legend": [
273 |         {
274 |             "data": [
275 |                 "\u7f51\u7edc\u6d41\u884c\u8bed",
276 |                 "\u5b66\u751f\u7528\u8bed",
277 |                 "\u804c\u573a\u7528\u8bed",
278 |                 "\u60c5\u611f\u8868\u8fbe",
279 |                 "\u6279\u5224\u6027\u8868\u8fbe"
280 |             ],
281 |             "selected": {},
282 |             "show": true,
283 |             "left": "5%",
284 |             "top": "15%",
285 |             "orient": "vertical",
286 |             "padding": 5,
287 |             "itemGap": 10,
288 |             "itemWidth": 25,
289 |             "itemHeight": 14,
290 |             "backgroundColor": "transparent",
291 |             "borderColor": "#ccc",
292 |             "borderRadius": 0,
293 |             "pageButtonItemGap": 5,
294 |             "pageButtonPosition": "end",
295 |             "pageFormatter": "{current}/{total}",
296 |             "pageIconColor": "#2f4554",
297 |             "pageIconInactiveColor": "#aaa",
298 |             "pageIconSize": 15,
299 |             "animationDurationUpdate": 800,
300 |             "selector": false,
301 |             "selectorPosition": "auto",
302 |             "selectorItemGap": 7,
303 |             "selectorButtonGap": 10
304 |         }
305 |     ],
306 |     "tooltip": {
307 |         "show": true,
308 |         "trigger": "item",
309 |         "triggerOn": "mousemove|click",
310 |         "axisPointer": {
311 |             "type": "line"
312 |         },
313 |         "showContent": true,
314 |         "alwaysShowContent": false,
315 |         "showDelay": 0,
316 |         "hideDelay": 100,
317 |         "enterable": false,
318 |         "confine": false,
319 |         "appendToBody": false,
320 |         "transitionDuration": 0.4,
321 |         "textStyle": {
322 |             "fontSize": 14
323 |         },
324 |         "borderWidth": 0,
325 |         "padding": 5,
326 |         "order": "seriesAsc"
327 |     },
328 |     "title": [
329 |         {
330 |             "show": true,
331 |             "text": "\u7528\u6237\u8bed\u8a00\u98ce\u683c\u5206\u5e03",
332 |             "target": "blank",
333 |             "subtarget": "blank",
334 |             "padding": 5,
335 |             "itemGap": 10,
336 |             "textAlign": "auto",
337 |             "textVerticalAlign": "auto",
338 |             "triggerEvent": false
339 |         }
340 |     ]
341 | };
342 |         chart_1d815f28f07448f09d89a40bfda45411.setOption(option_1d815f28f07448f09d89a40bfda45411);
343 |     </script>
344 | <br/>                <div id="7bef689dd52c477383dbbc0eb900dd3a" class="chart-container" style="width:500px; height:400px; "></div>
345 |     <script>
346 |         var chart_7bef689dd52c477383dbbc0eb900dd3a = echarts.init(
347 |             document.getElementById('7bef689dd52c477383dbbc0eb900dd3a'), 'light', {renderer: 'canvas'});
348 |         var option_7bef689dd52c477383dbbc0eb900dd3a = {
349 |     "animation": true,
350 |     "animationThreshold": 2000,
351 |     "animationDuration": 1000,
352 |     "animationEasing": "cubicOut",
353 |     "animationDelay": 0,
354 |     "animationDurationUpdate": 300,
355 |     "animationEasingUpdate": "cubicOut",
356 |     "animationDelayUpdate": 0,
357 |     "aria": {
358 |         "enabled": false
359 |     },
360 |     "series": [
361 |         {
362 |             "type": "pie",
363 |             "colorBy": "data",
364 |             "legendHoverLink": true,
365 |             "selectedMode": false,
366 |             "selectedOffset": 10,
367 |             "clockwise": true,
368 |             "startAngle": 90,
369 |             "minAngle": 0,
370 |             "minShowLabelAngle": 0,
371 |             "avoidLabelOverlap": true,
372 |             "stillShowZeroSum": true,
373 |             "percentPrecision": 2,
374 |             "showEmptyCircle": true,
375 |             "emptyCircleStyle": {
376 |                 "color": "lightgray",
377 |                 "borderColor": "#000",
378 |                 "borderWidth": 0,
379 |                 "borderType": "solid",
380 |                 "borderDashOffset": 0,
381 |                 "borderCap": "butt",
382 |                 "borderJoin": "bevel",
383 |                 "borderMiterLimit": 10,
384 |                 "opacity": 1
385 |             },
386 |             "data": [
387 |                 {
388 |                     "name": "\u9ad8\u9891\u4e92\u52a8\u7528\u6237 (5\u6761\u4ee5\u4e0a)",
389 |                     "value": 0
390 |                 },
391 |                 {
392 |                     "name": "\u4e2d\u9891\u4e92\u52a8\u7528\u6237 (3-4\u6761)",
393 |                     "value": 1
394 |                 },
395 |                 {
396 |                     "name": "\u4f4e\u9891\u4e92\u52a8\u7528\u6237 (1-2\u6761)",
397 |                     "value": 389
398 |                 }
399 |             ],
400 |             "radius": [
401 |                 "30%",
402 |                 "75%"
403 |             ],
404 |             "center": [
405 |                 "50%",
406 |                 "50%"
407 |             ],
408 |             "label": {
409 |                 "show": true,
410 |                 "margin": 8,
411 |                 "formatter": "{b}: {c} ({d}%)",
412 |                 "valueAnimation": false
413 |             },
414 |             "labelLine": {
415 |                 "show": true,
416 |                 "showAbove": false,
417 |                 "length": 15,
418 |                 "length2": 15,
419 |                 "smooth": false,
420 |                 "minTurnAngle": 90,
421 |                 "maxSurfaceAngle": 90
422 |             },
423 |             "rippleEffect": {
424 |                 "show": true,
425 |                 "brushType": "stroke",
426 |                 "scale": 2.5,
427 |                 "period": 4
428 |             }
429 |         }
430 |     ],
431 |     "legend": [
432 |         {
433 |             "data": [
434 |                 "\u9ad8\u9891\u4e92\u52a8\u7528\u6237 (5\u6761\u4ee5\u4e0a)",
435 |                 "\u4e2d\u9891\u4e92\u52a8\u7528\u6237 (3-4\u6761)",
436 |                 "\u4f4e\u9891\u4e92\u52a8\u7528\u6237 (1-2\u6761)"
437 |             ],
438 |             "selected": {},
439 |             "show": true,
440 |             "left": "5%",
441 |             "top": "15%",
442 |             "orient": "vertical",
443 |             "padding": 5,
444 |             "itemGap": 10,
445 |             "itemWidth": 25,
446 |             "itemHeight": 14,
447 |             "backgroundColor": "transparent",
448 |             "borderColor": "#ccc",
449 |             "borderRadius": 0,
450 |             "pageButtonItemGap": 5,
451 |             "pageButtonPosition": "end",
452 |             "pageFormatter": "{current}/{total}",
453 |             "pageIconColor": "#2f4554",
454 |             "pageIconInactiveColor": "#aaa",
455 |             "pageIconSize": 15,
456 |             "animationDurationUpdate": 800,
457 |             "selector": false,
458 |             "selectorPosition": "auto",
459 |             "selectorItemGap": 7,
460 |             "selectorButtonGap": 10
461 |         }
462 |     ],
463 |     "tooltip": {
464 |         "show": true,
465 |         "trigger": "item",
466 |         "triggerOn": "mousemove|click",
467 |         "axisPointer": {
468 |             "type": "line"
469 |         },
470 |         "showContent": true,
471 |         "alwaysShowContent": false,
472 |         "showDelay": 0,
473 |         "hideDelay": 100,
474 |         "enterable": false,
475 |         "confine": false,
476 |         "appendToBody": false,
477 |         "transitionDuration": 0.4,
478 |         "textStyle": {
479 |             "fontSize": 14
480 |         },
481 |         "borderWidth": 0,
482 |         "padding": 5,
483 |         "order": "seriesAsc"
484 |     },
485 |     "title": [
486 |         {
487 |             "show": true,
488 |             "text": "\u7528\u6237\u4e92\u52a8\u9891\u7387\u5206\u5e03",
489 |             "target": "blank",
490 |             "subtarget": "blank",
491 |             "padding": 5,
492 |             "itemGap": 10,
493 |             "textAlign": "auto",
494 |             "textVerticalAlign": "auto",
495 |             "triggerEvent": false
496 |         }
497 |     ]
498 | };
499 |         chart_7bef689dd52c477383dbbc0eb900dd3a.setOption(option_7bef689dd52c477383dbbc0eb900dd3a);
500 |     </script>
501 | <br/>                <div id="6c46f2c24e8e4181babc8266d9fde1ec" class="chart-container" style="width:900px; height:600px; "></div>
502 |     <script>
503 |         var chart_6c46f2c24e8e4181babc8266d9fde1ec = echarts.init(
504 |             document.getElementById('6c46f2c24e8e4181babc8266d9fde1ec'), 'light', {renderer: 'canvas'});
505 |         var option_6c46f2c24e8e4181babc8266d9fde1ec = {
506 |     "animation": true,
507 |     "animationThreshold": 2000,
508 |     "animationDuration": 1000,
509 |     "animationEasing": "cubicOut",
510 |     "animationDelay": 0,
511 |     "animationDurationUpdate": 300,
512 |     "animationEasingUpdate": "cubicOut",
513 |     "animationDelayUpdate": 0,
514 |     "aria": {
515 |         "enabled": false
516 |     },
517 |     "series": [
518 |         {
519 |             "type": "map",
520 |             "name": "\u8bc4\u8bba\u6570\u91cf",
521 |             "label": {
522 |                 "show": true,
523 |                 "margin": 8,
524 |                 "valueAnimation": false
525 |             },
526 |             "map": "china",
527 |             "data": [
528 |                 {
529 |                     "name": "\u6d77\u5357",
530 |                     "value": 4
531 |                 },
532 |                 {
533 |                     "name": "\u6e56\u5317",
534 |                     "value": 22
535 |                 },
536 |                 {
537 |                     "name": "\u5e7f\u4e1c",
538 |                     "value": 65
539 |                 },
540 |                 {
541 |                     "name": "\u5c71\u897f",
542 |                     "value": 10
543 |                 },
544 |                 {
545 |                     "name": "\u56db\u5ddd",
546 |                     "value": 15
547 |                 },
548 |                 {
549 |                     "name": "\u8d35\u5dde",
550 |                     "value": 9
551 |                 },
552 |                 {
553 |                     "name": "\u5185\u8499\u53e4",
554 |                     "value": 1
555 |                 },
556 |                 {
557 |                     "name": "\u5317\u4eac",
558 |                     "value": 22
559 |                 },
560 |                 {
561 |                     "name": "\u91cd\u5e86",
562 |                     "value": 12
563 |                 },
564 |                 {
565 |                     "name": "\u5b89\u5fbd",
566 |                     "value": 16
567 |                 },
568 |                 {
569 |                     "name": "\u6c5f\u82cf",
570 |                     "value": 22
571 |                 },
572 |                 {
573 |                     "name": "\u5c71\u4e1c",
574 |                     "value": 23
575 |                 },
576 |                 {
577 |                     "name": "\u6d59\u6c5f",
578 |                     "value": 17
579 |                 },
580 |                 {
581 |                     "name": "\u7518\u8083",
582 |                     "value": 2
583 |                 },
584 |                 {
585 |                     "name": "\u6cb3\u5357",
586 |                     "value": 16
587 |                 },
588 |                 {
589 |                     "name": "\u6c5f\u897f",
590 |                     "value": 13
591 |                 },
592 |                 {
593 |                     "name": "\u9655\u897f",
594 |                     "value": 7
595 |                 },
596 |                 {
597 |                     "name": "\u4e91\u5357",
598 |                     "value": 11
599 |                 },
600 |                 {
601 |                     "name": "\u8fbd\u5b81",
602 |                     "value": 5
603 |                 },
604 |                 {
605 |                     "name": "\u6e56\u5357",
606 |                     "value": 12
607 |                 },
608 |                 {
609 |                     "name": "\u65b0\u7586",
610 |                     "value": 10
611 |                 },
612 |                 {
613 |                     "name": "\u5409\u6797",
614 |                     "value": 7
615 |                 },
616 |                 {
617 |                     "name": "\u9752\u6d77",
618 |                     "value": 2
619 |                 },
620 |                 {
621 |                     "name": "\u798f\u5efa",
622 |                     "value": 16
623 |                 },
624 |                 {
625 |                     "name": "\u6cb3\u5317",
626 |                     "value": 9
627 |                 },
628 |                 {
629 |                     "name": "\u4e0a\u6d77",
630 |                     "value": 9
631 |                 },
632 |                 {
633 |                     "name": "\u5e7f\u897f",
634 |                     "value": 6
635 |                 },
636 |                 {
637 |                     "name": "\u5929\u6d25",
638 |                     "value": 7
639 |                 },
640 |                 {
641 |                     "name": "\u9ed1\u9f99\u6c5f",
642 |                     "value": 3
643 |                 }
644 |             ],
645 |             "roam": true,
646 |             "aspectScale": 0.75,
647 |             "nameProperty": "name",
648 |             "selectedMode": false,
649 |             "zoom": 1,
650 |             "zlevel": 0,
651 |             "z": 2,
652 |             "seriesLayoutBy": "column",
653 |             "datasetIndex": 0,
654 |             "mapValueCalculation": "sum",
655 |             "showLegendSymbol": false,
656 |             "emphasis": {}
657 |         }
658 |     ],
659 |     "legend": [
660 |         {
661 |             "data": [
662 |                 "\u8bc4\u8bba\u6570\u91cf"
663 |             ],
664 |             "selected": {},
665 |             "show": true,
666 |             "padding": 5,
667 |             "itemGap": 10,
668 |             "itemWidth": 25,
669 |             "itemHeight": 14,
670 |             "backgroundColor": "transparent",
671 |             "borderColor": "#ccc",
672 |             "borderRadius": 0,
673 |             "pageButtonItemGap": 5,
674 |             "pageButtonPosition": "end",
675 |             "pageFormatter": "{current}/{total}",
676 |             "pageIconColor": "#2f4554",
677 |             "pageIconInactiveColor": "#aaa",
678 |             "pageIconSize": 15,
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1 | 评论ID,昵称,地区,时间,评论,点赞数
2 | 7480167895684023097,a 嘉楠 a,内蒙古,2025-03-10 21:11:48,客厅飘窗下面的抽屉里还有几十盒面膜，二十多个洗面奶，口红二十多个，唇膏十来个，精华液，精油洗发水护发素各十几瓶，两个卫生间柜子里抽屉里都是护肤品[泪奔]卫生巾几十包[泪奔]，还有过期的精华放茶几上当护手霜[泪奔]没穿过的新鞋四十多双，衣服更数不清[尬笑],6
3 | 7480146101266957091,麻薯小丸子,广东,2025-03-10 19:47:17,寄给我吧，我爱吃,0
4 | 7480142284349440828,璟恩子,四川,2025-03-10 19:32:26,不爱吃零食,3
5 | 7480419867767866170,啊～biu,四川,2025-03-11 13:29:38,我也是！但是我觉得这就是在宴请小时候的自己[大笑],11
6 | 7480129278760944393,诶嘿嘿💎,陕西,2025-03-10 18:42:00,买了辣的回去又想吃甜的，买了甜的回去又想吃咸的，一进零食店又不想买了，回去后又后悔没买[尬笑]跟有病似的,114
7 | 


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 1 | 评论ID,昵称,用户ID,用户sec_id,头像,地区,时间,评论,点赞数,回复数,回复给用户,回复给用户ID,是否置顶,是否热评,包含话题,提及用户
 2 | 7507653481228075788,LUCK（解压食记）,3798186297661322,MS4wLjABAAAAhmOuD6-uWnvcn6oRbHa8NKRUJF__NdPDginIxYKwW7efMtdAlg0IkBeVpKsA3dfO,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-avt-0015_19ae47614ad1ea84205b4f9446a250d3.jpeg?from=2064092626,广东,2025-05-23 22:50:00,雷总你把头像把成这个，我买10辆,240,49,,,否,否,,
 3 | 7507664919627662121,温柔,96357929612,MS4wLjABAAAAq03QBbhYNNBQfIRYLPy3m-CxlJexMOE_k3EE1h_VubE,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813_oE5meaBHAAAOA9rpgI8oSoCnHbXofIdDAACCTQ.jpeg?from=2064092626,福建,2025-05-24 00:05:21,要想让这款u热火，搭载这款cpu的手机开放root权限就是最好的路,0,0,,,否,否,,
 4 | 7506483467308991290,小罗罗,1041991924452430,MS4wLjABAAAAYT4SFMQnzUiCy_-0N8Yl58HRLTfHUfFA88g2wq95HYd4gF9hsw9EMfjd8rlFs_1R,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813_e2774d94b419443dbd92a31b11232b0f.jpeg?from=2064092626,重庆,2025-05-20 19:09:40,雷总，我女儿和你一天生日，目标大学武汉大学！我希望我女儿像你一样幸运[比心],29492,775,,,否,否,,
 5 | 7506489038375912250,胖胖的瘦子A,62657988556,MS4wLjABAAAA1VLsgI4LPOjg_fYDHlF5DfDxPxMAzHgNdjb_5O3YYb8,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-avt-0015_46f3d3b12c9e74996fac759285ed4810.jpeg?from=2064092626,山东,2025-05-20 19:31:16,以后不准跟我们冷暴力了啊,51405,565,,,否,否,,
 6 | 7506482138801226522,迷路的旺仔,81924511976,MS4wLjABAAAAJmDSj5YI7AEl3hepgkNBwaCMhDzDm-9M9yodQefHbfE,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813_00d105df8e1545078b0450c99f6f5d99.jpeg?from=2064092626,湖北,2025-05-20 19:21:36,雷总你终于回来了，你知道我有多想你吗 [流泪]  [流泪],1734,14,,,否,否,,
 7 | 7507670325846393639,凉夜听风/自律,4032664197929355,MS4wLjABAAAAhJE1pcmIqOiCWkfVIY0igBh4iwHMqn3_q_ocA5OVHahwc8uAIcObox0jT4RIobeq,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813_ogC79ADVvF1fVARWfjVoCAQEAs5FIAmlAQgAVT.jpeg?from=2064092626,甘肃,2025-05-23 23:55:28,"全网最成功的几位博主
 8 | 1、湖远行（2534万粉丝）
 9 | 2、雷军（4562万粉丝）
10 | 3、董宇辉（2731万粉丝）
11 | 4、我    (59 .79 万粉丝）",2,0,,,否,否,,
12 | 7506480179830293275,赶路人,83246963821,MS4wLjABAAAA4SBS2nwK5tgy3D1UdDCm8BCFLSd-XAymBVVcNcQig2w,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813_o01AcLr7Ar5BVlGQ7n3EBef1zIIsEALUAAAKeG.jpeg?from=2064092626,广东,2025-05-20 18:56:57,雷总超级期待新产品 必须买15sPro,1716,145,,,否,否,,
13 | 7507653011641238331,椰果冻,2955956893538686,MS4wLjABAAAAcUlfUsoimmFwlQ6M0ZRa5YA_k7K11iTX411rfWWKtkkM-kfKD4i_RrMkzaErK5u_,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813c000-ce_oYARAfclDEDnFAeAmUELCYEi1EeIXjpwsZ9u4A.jpeg?from=2064092626,安徽,2025-05-23 22:48:05,爸，不许和我们冷战了[酷拽]一个月没理我们了[流泪],15,2,,,否,否,,
14 | 7506483045878727461,在下方何,3369368544881071,MS4wLjABAAAAoaFVNHMv2W9k6GlhkGEr1jBlVkfOZEUbazU6fjL5EqINaMM3SVYokjdyvEzc8yiy,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813_o4AEEkmfADxVZD4XGgFBgRIE9AzYAqGfAACnA8.jpeg?from=2064092626,广东,2025-05-20 19:35:51,爸：吃了吗,1065,118,,,否,否,,
15 | 7506541873923769142,冬雨,98699399279,MS4wLjABAAAAFowAYqjTcYdDE8ILI3G4EptJlR9ZkUEe2-DEUU00z-U,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813_b687e66f31a44bb7b4c1e2840959ce74.jpeg?from=2064092626,云南,2025-05-20 22:56:23,兄弟们，今天刚领证[嘿哈]，想要雷总祝福,2072,175,,,否,否,,
16 | 7507625909693039423,棋棋1102,87761611655,MS4wLjABAAAAir3SzAGiUX1ThGKIT_TdEO1-h4IuqORWDM7EG8PEbMc,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-avt-0015_edbb3d586277ee65aafe7577f95e3227.jpeg?from=2064092626,湖南,2025-05-23 21:02:57,雷总，我刚提车十天，被网暴了十天，从来不说粗口的我，与黑粉对骂了几天[流泪],120,18,,,否,否,,
17 | 7506881578614735675,鑫河车机,3318751792735328,MS4wLjABAAAANNWgCK0wglqJMiBk8k69F4R1KEQTeKTQ2xpJ2cc_9Uj-RU6D5vCd8bbz_St-9fR1,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-avt-0015_17e2eb811ff3b2760527e5266eb1d654.jpeg?from=2064092626,江苏,2025-05-21 20:54:31,雷总你冷战期间，我偷偷去买了一部 512G+16G的小米15，下次别再冷战了，我已经没钱了,719,51,,,否,否,,
18 | 7506603418384368444,炸丸子,99907808631,MS4wLjABAAAAQpwz4rYpjqy5QLKAkv0tyv8YLppLSZK2Kgr-vmyoAcE,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813c001_02ab4fe0fc7d42f38256713ce5ae1c06.jpeg?from=2064092626,云南,2025-05-21 02:55:20,雷爸 以后不准和我们冷战了[流泪],152,6,,,否,否,,
19 | 7506484813844185890,@爱你一万年,1797054772550670,MS4wLjABAAAAa_0ivBpm4YeKmz_Q33G1G_0A9sV4Ybrpbxf50DhitHVj4OMEuAQcf_jRl0PzBkvr,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813_oQdBeFXcDIM3PiAAxiAA8AQeNwQc7FKBGAiPfE.jpeg?from=2064092626,山西,2025-05-20 19:35:55,军儿，你终于回来了 [流泪]， 不要再断更了，你不在时每隔几天我都要来看看你发视频了没,5665,78,,,否,否,,
20 | 7507672331880776463,诛戮陷绝,71716676720,MS4wLjABAAAAXNipfx-WnaoQj1nHNdNa_cC9fzh_51fnJKTTP6Jfugg,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813_ogbC7cHAAACDAcgwJJnfCkIIuEASgt9j7ekACo.jpeg?from=2064092626,新疆,2025-05-24 00:03:12,[微笑]为什么不早说，我上个月刚买的15，我想用用玄界。,0,0,,,否,否,,
21 | 7506486944446300979,卢伟冰,2544737774480633,MS4wLjABAAAAeeGpeTBNIRe66uQLgsFZmiRXR4GEQnh6FCtORpNOjXMPVjYqkmDeDtYhzBirNj_k,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813_oIz1AhKAFIA5LfdA1CctDn9p3bAaCegjPyE4AA.jpeg?from=2064092626,北京,2025-05-20 19:23:13,5月22日，发布会见！[爱心],2279,143,,,否,否,,
22 | 7506488223708889867,🌈带努比的二明,85271783837,MS4wLjABAAAABCaMkM4yYIo56epa-TYx3MRfbHUmvx_jhnrROzH9gDs,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-avt-0015_a0c35b5fe71acd688f89782beadd1e86.jpeg?from=2064092626,广东,2025-05-20 19:55:42,爸吃饭了吗,55,23,,,否,否,,
23 | 7506537868958892800,小汪哥精致男装,1084535024136804,MS4wLjABAAAA_rkgRekkXc9BqXuVcgu3dLgzqqzkLBJt7qpkFVELHDTchJ0AUKBkr9rocCZrJl4K,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-avt-0015_f16a5d1a8b1d44635794d759eca66d40.jpeg?from=2064092626,重庆,2025-05-20 23:01:18,支持雷军的有多少,657,31,,,否,否,,
24 | 7506494061470663465,做个向日葵,97352596218,MS4wLjABAAAAOC1_YnR8s2eI8819pC0xBpwdUNWzt1V1Y1UQIuf0G1M,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813_3a65ef707b78443bb201bf8bcfae01ff.jpeg?from=2064092626,湖南,2025-05-20 20:07:28,雷总，终于回来了，想死你了,1151,10,,,否,否,,
25 | 7506543779400254223,真由美🎖,7411158697970304059,MS4wLjABAAAAnWoUhTX74tn3ekpwq8hYuEcaozWIqL5ufhyVrEdGzBwc0sG5xZny3l1Ocg59kBo1,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-avt-0015_bdd4a061a7958126e3580b7b94852a4d.jpeg?from=2064092626,重庆,2025-05-20 23:03:47,帅不帅你们说[舔屏],5306,472,,,否,否,,
26 | 7506578153490547492,蜜雪冰城（福州总店）,3496062407160124,MS4wLjABAAAA7R_qUDVMbBZDIroUyQx9ptCrxpNVlsMRKBSKvd0u1z4641KVK8vKDaH0P0Yb9AbT,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813_o4DGCA9AIAAbaQBeAmAgQ0ifCC8WYVPnl5rhh9.jpeg?from=2064092626,福建,2025-05-21 01:17:21,爸,443,58,,,否,否,,
27 | 7506848922740982566,卡通,2546112058894104,MS4wLjABAAAAk96fCkeU6KcVzYwIjBwiannGRfY1MoLgWOYvMjm-_0kUquq_otRmSXqHCqkDQpJp,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/mosaic-legacy_3797_2889309425.jpeg?from=2064092626,广西,2025-05-21 18:47:50,爸，吃了吗？,1141,252,,,否,否,,
28 | 7506492129842217768,青禾,64301672255,MS4wLjABAAAAgEDqvTfEbI8noWC1J2SkJvWiwb_iKl_RBUCErHhyiiw,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813_oEcAyiAsigXDzPy9BIhpZj1iEA7A4Oz3PgIAP.jpeg?from=2064092626,河南,2025-05-20 19:58:04,冷战结束，雷总回来啦,999,8,,,否,否,,
29 | 7506536991661245242,南重小肖,1279473564788093,MS4wLjABAAAAxbhMheOU0lQ5krDTRGD1R6g9WC-BcQNy4YaiLT9QFmTMESLdzorHt0PpCfydBneV,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-avt-0015_3137c6d29dabe13b8bc7790f03ec95db.jpeg?from=2064092626,广东,2025-05-20 22:37:21,米粉今天领证啦[抱抱你],509,53,,,否,否,,
30 | 7506550905915982650,王六六,69232476424,MS4wLjABAAAA77RVJV-6zevOEmadycWZZQjQ8lZwdCMBdmkaYDVN2z0,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813_c52ecdfe87854914948071dc24442d71.jpeg?from=2064092626,江苏,2025-05-20 23:31:21,雷总 我的小米6为啥总是发烫呀[看],513,82,,,否,否,,
31 | 7506755771851391803,昏君不吃鱼,3019677097539415,MS4wLjABAAAASAtgMxIM7KeG8dKvLaRANhrIjwez7Vdo2L-hdAOgkNzNiL7p1X5KEp91Jx756fsK,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/douyin-user-image-file_85ab3a39770bf1d23b032e7abb2d0682.jpeg?from=2064092626,北京,2025-05-21 12:46:21,您好，雷总，我们是从西安到北京度蜜月的小米 su7 车主，我本人也是红米 turbo 4 pro 手机用户， 我和我的妻子很早之前就已经确定今天到北京了，没想到刚好遇到了明天是发布会，能不能让我们近距离的参加一下发布会🎉('ω')🎉感谢🙏,403,42,,,否,否,,
32 | 7506548565968814875,腾飞,954029966884967,MS4wLjABAAAAX29QOfYJnwJKi3bStCXfymChXaY8HhEmEppdw96rJ3g,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-avt-0015_9ee4a3a2a2ba6077d7fced2858c75bd3.jpeg?from=2064092626,广东,2025-05-20 23:22:18,爹，吃饭了吗？[偷笑],24,6,,,否,否,,
33 | 7506583171318170428,By,81801015985242,MS4wLjABAAAAYaFXru45hASQuh9AdF9VpO3HsTfMCWl1Q4lbZ-50zxE,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813_ocf5cmACfACMA2DxAnouJRIg2F9HnrBAGDEEA6.jpeg?from=2064092626,广东,2025-05-21 01:36:43,我老总圈唯一人脉终于回来了,747,7,,,否,否,,
34 | 7507664223754060603,用户7823815321920,910018155381435,MS4wLjABAAAA1QYmS_Wju2LEHigo5yxs5rdvA201sDGydNS1SvJwFAo,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813_42550a394ef049da86d194c1a78ccff6.jpeg?from=2064092626,福建,2025-05-23 23:31:36,,23,1,,,否,否,,
35 | 7506488070751437625,A.R,4305321844552584,MS4wLjABAAAAsAEfNyY5D-kUae2B6Up1OX5hJF6uurc8Q4cYbS1VyInMZisMro6VvqfMrFsb91tk,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813c000-ce_owK9fkECXABqXQeRAUEV84wEDfAGFEAUzEAnPI.jpeg?from=2064092626,云南,2025-05-20 19:27:32,爸你终于回来了,228,14,,,否,否,,
36 | 7506481351215579942,🌈Y h,59237659425,MS4wLjABAAAAo9spT8FJ4Zdwm7gq0vsXbu6lpauaMK3YYpc9JzvnuJo,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813_ooxAfC8XVInxkwAAHAAgbTDAl6QS9WaADAeVoC.jpeg?from=2064092626,江苏,2025-05-20 19:01:30,雷总，我的小米14聊天刷视频都烫手[尬笑][尬笑][尬笑],573,215,,,否,否,,
37 | 7506847770889274131,Moonlight,262129025558627,MS4wLjABAAAAsWAwmD2f53hsOt1J4LWp3TtJcEZo6JaOJGrdk8f2S0g,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-avt-0015_40dcb9b98afe1aacf814e5fcac697eb0.jpeg?from=2064092626,江苏,2025-05-21 18:43:24,雷总，下次不要和我们冷战了[流泪],1589,20,,,否,否,,
38 | 7506486988432016180,一枕清风明月,1516964907065831,MS4wLjABAAAAGfvWblt_lzcqneYBZKw_YU309MWbISyCUGK4y7W6S_zsjC8LXNc1UMk8l9yhv_j6,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813c001_oAHICO1HAD3F6Nmo0OFAg4QE9AsfAvXfAACnAG.jpeg?from=2064092626,陕西,2025-05-20 19:57:19,别人不断的黑小米，小米还能像个巨人一样屹立不倒，这才是真正用心的企业。希望小米越来越好,164,0,,,否,否,,
39 | 7507117301013218060,段小林儿,94921424644,MS4wLjABAAAAt9OH_Q5CUpi-6Di19lh2SJf9up1p0E1Bc4aKeX7QxRI,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-avt-0015_a35920346420a0b987cfea605d0df79f.jpeg?from=2064092626,云南,2025-05-22 12:09:23,爸，吃饭了吗[比心],464,92,,,否,否,,
40 | 7507258796034999049,您保重,1357254247323852,MS4wLjABAAAAP7Aowepq-AGwKjhzadPqrhyn0EsecEThdcLn-Qbrtipk-sOGsRuRbdbofNMLCOi7,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813_owh6YAATnDAT9YXyCziigTBCAeA9lVAIEKfQDX.jpeg?from=2064092626,山东,2025-05-22 21:18:24,盲猜开始了！来！大家出个价,26,15,,,否,否,,
41 | 7506533584396714812,卡皮丘,100702910418,MS4wLjABAAAAEkuLBz4Ykj64bc-dDtgim4hbLXkQARFbkdP87Drr3vs,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-avt-0015_a03d4f85ea88a5e9adb8fabdd8c004e8.jpeg?from=2064092626,重庆,2025-05-20 22:24:07,下次再冷暴力试试,997,13,,,否,否,,
42 | 7506493511123043091,橘子苹果大菠萝,95583713531,MS4wLjABAAAAsFlxJPhfZOiNM1-n_0_T7zruEotyvibeTw1grNmUzrM,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813c001_2be01d94027c4da2b470a0a39d3a6d31.jpeg?from=2064092626,广东,2025-05-20 20:05:20,爸爸你为什么这么久了才回来 [流泪],499,19,,,否,否,,
43 | 7506484883049923387,梗姐姐,3474112572840599,MS4wLjABAAAARhMLBRHP-d570w9GcmOi_I6luP9gMqQco9HE-O94jnJA2ORTfzMFKt24ncmfKTYp,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-avt-0015_30a0e659e2bd5dff0ddbf7dd553dbdf0.jpeg?from=2064092626,北京,2025-05-20 19:15:09,爸，我盲订15s pro了！[得意],207,17,,,否,否,,
44 | 7506484189350183719,杨林灿,3056230252949075,MS4wLjABAAAALNXq-4C-8hWZcJSwdpfN6hywSdVua0Om0rghJFWCH1UQHxNqlz3IXoyMXkkdt4CO,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/mosaic-legacy_2e3320001b947f2879603.jpeg?from=2064092626,上海,2025-05-20 19:12:32,小米为国人为国家做出重大贡献，为雷总点赞[赞][赞][赞][鼓掌][鼓掌][鼓掌][平安果][平安果][平安果],77,2,,,否,否,,
45 | 7506564456395080463,怜悯,65423123801,MS4wLjABAAAAPCZnpMKZhG_C12PfbP3i1jRnsBkfUPbDLkQpGIGPGfI,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813_oMnACra0IC6EjAF9fAbIpAgAAWAJg6fBhgODEb.jpeg?from=2064092626,湖南,2025-05-21 00:24:03,雷总，能不能解决一下小米十五发烫问题,51,55,,,否,否,,
46 | 7506531888698524431,ZhanG,86955928420,MS4wLjABAAAAc_kvIRbOCm26kwKQ8BiopdI2qiWiQWPg52oSV_tRKzA,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-avt-0015_9c9933d4e9b817ff1d13d80b6d632d5e.jpeg?from=2064092626,浙江,2025-05-20 22:17:35,那我的小米15 Pro算什么[泪奔][泪奔][泪奔],27,14,,,否,否,,
47 | 7507124521351807796,Doki兜兜,3426539489728047,MS4wLjABAAAAJ8IxviJWeiEjCX9sDmMXf-1ZDIsP-6oS5l7F-yLc1ATKhYvb-uQE03n9hEsDg0Fw,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-avt-0015_105c8ede9583aca43d63dab0ee6e06d6.jpeg?from=2064092626,北京,2025-05-22 12:37:21,雷总你好，我5.20那天刚提了Ultra ，超级无敌帅，而且我们车主群里从来没有一个人提过想不要这辆车，非常支持您！顺便提一句，我做汽车主播几年了，前几天听说yu7在招主播，我第一时间报名但是我并没有收到面试信息，非常遗憾，所以在这里自荐一下，以后如果有需要，希望您的团队可以考虑我，以下是我的照片。,290,17,,,否,否,,
48 | 7506904505452675900,瑶瑶²⁰²⁵～,100323943278,MS4wLjABAAAAxDeDUYDMIdx-XKOPNVa5mj3nwEDAFA4tsMoR0ujcKeA,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-avt-0015_86f6c561441abeec4cf2a83421d25cdf.jpeg?from=2064092626,江西,2025-05-21 22:23:30,爸，你吃饭了吗,377,88,,,否,否,,
49 | 7507667954403312422,— —,98126385233,MS4wLjABAAAATSI9bEfcSOY3qPMvpUkYJ6KrWKLpXG8SYpWbEGpRYkw,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813_fd8dbd2a5eca4d1aa52dee64ffb00fdf.jpeg?from=2064092626,新疆,2025-05-23 23:46:10,雷总出啥都无脑支持,2,1,,,否,否,,
50 | 7506489714263147290,鬼畜眼镜,1614548231792604,MS4wLjABAAAAqeBDFrUNu6SdHluquTGprkHKSm48rthMBOCYY9UA6WH13ejk42hIY5ACvRRYuqRd,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813c001_69c10b7fd32948c7809b93d9ad67b536.jpeg?from=2064092626,天津,2025-05-20 19:33:56,有人想让小米死[抠鼻],17,0,,,否,否,,
51 | 7506568967345275706,独秀青春,1833615464871400,MS4wLjABAAAA8IPy93oRYYhkqxjwLDv2xKBIkRhoa4ZqT-DIUh0YEBppKDdfZ-dFBJeZcS7EVLAf,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813c000-ce_oMfKAFgAeOPAEgEp7rlFQB7DEjAIYI7x4f8AAJ.jpeg?from=2064092626,广西,2025-05-21 00:41:32,卖1999价格吧对得起所有米粉[大笑],27,4,,,否,否,,
52 | 


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/crawled_comments/douyin_comments_fEJejTD6CQ8_20250524_002249.csv:
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1 | 评论ID,昵称,用户ID,用户sec_id,头像,地区,时间,评论,点赞数,回复数,回复给用户,回复给用户ID,是否置顶,是否热评,包含话题,提及用户
2 | 7506489038375912250,胖胖的瘦子A,62657988556,MS4wLjABAAAA1VLsgI4LPOjg_fYDHlF5DfDxPxMAzHgNdjb_5O3YYb8,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-avt-0015_46f3d3b12c9e74996fac759285ed4810.jpeg?from=2064092626,山东,2025-05-20 19:31:16,以后不准跟我们冷暴力了啊,51643,568,,,否,否,,
3 | 7507676972824658728,四季开农业种子店,4218184767116749,MS4wLjABAAAAFBZ32pjgpvvyrXiSmwt9w11cuV0-TTQCh4x_s1hSd8PtEpUpGN5O3lCdEAM81l4C,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813c001_o0DECIA2gAGkAX86eifj4zBCPAYrWiApwALBAH.jpeg?from=2064092626,江苏,2025-05-24 00:21:19,啥时候出一个主机放车里，或者带身上，屏幕分离，加大屏幕待电量，就像路由器那样把主机也可以放家里，放车里，放包里，放口袋里[泣不成声]，出门就拿着屏幕，游戏就数据线连主机[泪奔],0,0,,,否,否,,
4 | 7506483467308991290,小罗罗,1041991924452430,MS4wLjABAAAAYT4SFMQnzUiCy_-0N8Yl58HRLTfHUfFA88g2wq95HYd4gF9hsw9EMfjd8rlFs_1R,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813_e2774d94b419443dbd92a31b11232b0f.jpeg?from=2064092626,重庆,2025-05-20 19:09:40,雷总，我女儿和你一天生日，目标大学武汉大学！我希望我女儿像你一样幸运[比心],29628,776,,,否,否,,
5 | 7506494061470663465,做个向日葵,97352596218,MS4wLjABAAAAOC1_YnR8s2eI8819pC0xBpwdUNWzt1V1Y1UQIuf0G1M,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813_3a65ef707b78443bb201bf8bcfae01ff.jpeg?from=2064092626,湖南,2025-05-20 20:07:28,雷总，终于回来了，想死你了,1152,10,,,否,否,,
6 | 7507653481228075788,LUCK（解压食记）,3798186297661322,MS4wLjABAAAAhmOuD6-uWnvcn6oRbHa8NKRUJF__NdPDginIxYKwW7efMtdAlg0IkBeVpKsA3dfO,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-avt-0015_19ae47614ad1ea84205b4f9446a250d3.jpeg?from=2064092626,广东,2025-05-23 22:50:00,雷总你把头像把成这个，我买10辆,267,56,,,否,否,,
7 | 


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/crawled_comments/douyin_comments_i5g6kb83_20250312_001130.csv:
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1 | 评论ID,昵称,地区,时间,评论,点赞数
2 | 


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/crawled_comments/douyin_comments_i5g6kb83_20250312_001710.csv:
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1 | 评论ID,昵称,地区,时间,评论,点赞数
2 | 7480322720539231014,长矛沾屎戳谁谁死  水瓶装尿呲谁谁叫,福建,2025-03-11 07:12:44,"谁懂啊
3 | 毫无欲望的一堵墙",11
4 | 7480373749487125283,不换,海南,2025-03-11 10:30:47,过期之前喊我去你家可以吗,0
5 | 7480167895684023097,a 嘉楠 a,内蒙古,2025-03-10 21:11:48,客厅飘窗下面的抽屉里还有几十盒面膜，二十多个洗面奶，口红二十多个，唇膏十来个，精华液，精油洗发水护发素各十几瓶，两个卫生间柜子里抽屉里都是护肤品[泪奔]卫生巾几十包[泪奔]，还有过期的精华放茶几上当护手霜[泪奔]没穿过的新鞋四十多双，衣服更数不清[尬笑],6
6 | 7480358874639270683,饼干小姐🍪,海南,2025-03-11 09:33:02,要不你给我邮点 邮费我自付 不然太可惜了[捂脸],0
7 | 7480160776440693555,90岁冷艳美蟑螂,四川,2025-03-10 20:44:13,我不一样，就跟饕餮一样，不管买了多少一会儿就吃完了，本来打算攒着吃的[憨笑][憨笑],4
8 | 


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/crawled_comments/douyin_comments_i5g6kb83_20250313_153107.csv:
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1 | 评论ID,昵称,用户ID,用户sec_id,头像,地区,时间,评论,点赞数,回复数,回复给用户,回复给用户ID,是否置顶,是否热评,包含话题,提及用户
2 | 7480158671126479676,是想引起我的注意吗,60594754198,MS4wLjABAAAAOsqQ7da7h6mZ0HJwd7sYoXFPZ85TAWXZlsvqfUofV4Y,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813c000-ce_oUL7AAScGeAtmEInDwFfEEwdDaxAuuEf9ADgA7.jpeg?from=2956013662,广东,2025-03-10 20:36:01,你们是怎么忍住不吃的？中午买的恨不得一晚上炫完[微笑],2743,1072,,,否,否,,
3 | 7481170032313484069,李瑞泽(已老实版),61721752502,MS4wLjABAAAAVrsCLgVGnMdtoSLve6jTbqV-tjDYy-jvCM6YAPXMFXc,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813_oAgszAIABAzjgqAoEABACoNFxCfNeI1hyAZ9NA.jpeg?from=2956013662,湖北,2025-03-13 14:00:41,我有个坏习惯不吃完不会再去买，只有吃的干干净净了才会再去买[捂脸],1,1,,,否,否,,
4 | 7480109441121256232,·,61306370428,MS4wLjABAAAAYrNuWH0HUR873JZO6er8QJcVqNe8JBa0tnaP47EJ5bk,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/mosaic-legacy_20b4d000515fe287a65c7.jpeg?from=2956013662,湖南,2025-03-10 17:25:05,爱买化妆品。不用。放到过期[泪奔][泪奔][泪奔],264,54,,,否,否,,
5 | 7481178287105114895,🌾        JFF、,60600708724,MS4wLjABAAAAzyK88r686Ncv3AdrJC_CW2Ra-x4EpRGvKYexzZ_DGzs,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813_oYJ6eAfZCuIAxA9CAVgcEkFEoVARAn7lDbAwCn.jpeg?from=2956013662,四川,2025-03-13 14:32:41,每个月我老公帮我清理一堆，每个月都在说我，说我浪费[捂脸],0,0,,,否,否,,
6 | 7481193537113260860,粽粽👩‍🚀,106072335272,MS4wLjABAAAA62prbZiWNcKLVQjzhz192FOO3wvf8UsWOmnk1kqMUlU,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-avt-0015_850be733592ee535c29723867b84d946.jpeg?from=2956013662,江苏,2025-03-13 15:31:51,我会放到过期，救命啊，然后想吃的时候吧外包装还扔了有些，就总在吃过期的零食感觉,0,0,,,否,否,,
7 | 7480129278760944393,诶嘿嘿💎,3091441175501164,MS4wLjABAAAAQuARjFtB-BvM1gy5VMHmsmvML8hKPjY-maezMsKfAuU3DXnt9ek-s5mDbMNNKo0D,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813c001_oMfDieUgNAu2GYAQAfWIA3I0pCwLISIwc3f5AB.jpeg?from=2956013662,陕西,2025-03-10 18:42:00,买了辣的回去又想吃甜的，买了甜的回去又想吃咸的，一进零食店又不想买了，回去后又后悔没买[尬笑]跟有病似的,163,21,,,否,否,,
8 | 


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/douyin_analysis_results/README.md:
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https://raw.githubusercontent.com/crownoranges/douyin-comment/24c6ff6324449a4294b6a713cab58412cd420819/douyin_analysis_results/README.md


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/douyin_analysis_results/comment_wordcloud.png:
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/douyin_analysis_results/crawled_comments/douyin_comments_7505063238057889081_20250524_000454.csv:
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1 | 评论ID,昵称,用户ID,用户sec_id,头像,地区,时间,评论,点赞数,回复数,回复给用户,回复给用户ID,是否置顶,是否热评,包含话题,提及用户
2 | 7505554471775208229,玫瑰郁金香～,4195333778452264,MS4wLjABAAAA_9K-j3RLTwTYcwMzzVbuWpWiQaVGVqIQgJCBZq-TlzYGjUUzzorPthVauIvJ2aVC,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813_f5bf7e5d516141538f2f894a4a8b3bb0.jpeg?from=2064092626,河北,2025-05-18 07:04:43,[比心][比心][比心],0,0,,,否,否,,
3 | 


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/douyin_analysis_results/crawled_comments/douyin_comments_fEJejTD6CQ8_20250524_001812.csv:
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 1 | 评论ID,昵称,用户ID,用户sec_id,头像,地区,时间,评论,点赞数,回复数,回复给用户,回复给用户ID,是否置顶,是否热评,包含话题,提及用户
 2 | 7506489038375912250,胖胖的瘦子A,62657988556,MS4wLjABAAAA1VLsgI4LPOjg_fYDHlF5DfDxPxMAzHgNdjb_5O3YYb8,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-avt-0015_46f3d3b12c9e74996fac759285ed4810.jpeg?from=2064092626,山东,2025-05-20 19:31:16,以后不准跟我们冷暴力了啊,51533,568,,,否,否,,
 3 | 7506483467308991290,小罗罗,1041991924452430,MS4wLjABAAAAYT4SFMQnzUiCy_-0N8Yl58HRLTfHUfFA88g2wq95HYd4gF9hsw9EMfjd8rlFs_1R,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813_e2774d94b419443dbd92a31b11232b0f.jpeg?from=2064092626,重庆,2025-05-20 19:09:40,雷总，我女儿和你一天生日，目标大学武汉大学！我希望我女儿像你一样幸运[比心],29590,775,,,否,否,,
 4 | 7506755771851391803,昏君不吃鱼,3019677097539415,MS4wLjABAAAASAtgMxIM7KeG8dKvLaRANhrIjwez7Vdo2L-hdAOgkNzNiL7p1X5KEp91Jx756fsK,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/douyin-user-image-file_85ab3a39770bf1d23b032e7abb2d0682.jpeg?from=2064092626,北京,2025-05-21 12:46:21,您好，雷总，我们是从西安到北京度蜜月的小米 su7 车主，我本人也是红米 turbo 4 pro 手机用户， 我和我的妻子很早之前就已经确定今天到北京了，没想到刚好遇到了明天是发布会，能不能让我们近距离的参加一下发布会🎉('ω')🎉感谢🙏,403,42,,,否,否,,
 5 | 7506480179830293275,赶路人,83246963821,MS4wLjABAAAA4SBS2nwK5tgy3D1UdDCm8BCFLSd-XAymBVVcNcQig2w,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813_o01AcLr7Ar5BVlGQ7n3EBef1zIIsEALUAAAKeG.jpeg?from=2064092626,广东,2025-05-20 18:56:57,雷总超级期待新产品 必须买15sPro,1735,145,,,否,否,,
 6 | 7506492129842217768,青禾,64301672255,MS4wLjABAAAAgEDqvTfEbI8noWC1J2SkJvWiwb_iKl_RBUCErHhyiiw,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813_oEcAyiAsigXDzPy9BIhpZj1iEA7A4Oz3PgIAP.jpeg?from=2064092626,河南,2025-05-20 19:58:04,冷战结束，雷总回来啦,1001,8,,,否,否,,
 7 | 7507656153338692391,伟生:岑[cen],96002475445,MS4wLjABAAAASzg3Wj2ivLtKqgQ6CgKYkUDM8-Q6svmJOVvC8_VtTD8,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-avt-0015_3c7e31f803801e7ba6daf8ee13ed8d71.jpeg?from=2064092626,广东,2025-05-23 23:00:20,小米芯片牛逼[捂脸],9,0,,,否,否,,
 8 | 7506486944446300979,卢伟冰,2544737774480633,MS4wLjABAAAAeeGpeTBNIRe66uQLgsFZmiRXR4GEQnh6FCtORpNOjXMPVjYqkmDeDtYhzBirNj_k,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813_oIz1AhKAFIA5LfdA1CctDn9p3bAaCegjPyE4AA.jpeg?from=2064092626,北京,2025-05-20 19:23:13,5月22日，发布会见！[爱心],2282,143,,,否,否,,
 9 | 7506890136362369849,帽子掉了囖,2634020313116317,MS4wLjABAAAA83Davw1de5aRD3LiEOpk31MyVDWLrgpB6L5Ow979EklND6pUVdVGppOiWMspKBHc,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813c001_osPoDAPI2ICepfGIBAAgbQAHIAwbRfGcCNeCLI.jpeg?from=2064092626,福建,2025-05-21 21:27:44,"雷总，你好，我一直是小米粉丝，16左右就一直用小米，今年3月20号呢我买了小米15pro，直到上周天早上8.40开车出车库的时候，我用手机打开carlife后连接，结果小米15pro页面卡死，而后我去网上查结果发现这个bug目前仅我这台出现，我就去找客服，客服协调后让我去小米之家检查，检查如果有硬件问题就换机，
10 | 
11 | 但是都已经恢复了，能测出啥来？日志日志不看，视频视频不看，什么工作态度？我已经录制了视频也把日志导出反馈了，但测试也只是测一测我的手机硬件问题，最后报告出来啥事没有，
12 | 
13 | 那会出地库卡死的50分钟，我也有很重要的事情啊，本来9给学生上课，硬生生被推迟，手机使用不了，车库缴费出不去，打车用不了，很难受啊，和客服协商后还好些，但现在啥也不解决，我就很无语了，我需要的是解决方案，而不是一味的不好意思
14 | 一直卡在os启动界面[流泪][流泪][流泪][流泪][流泪][流泪][流泪][流泪]，没解决，没下文，好伤心[流泪][流泪][流泪][流泪][流泪][流泪][流泪]@雷军 @雷军小米记事录",92,27,,,否,否,,"104815668206,3094492413967114"
15 | 7507536897355399948,心想事成。,75989719933,MS4wLjABAAAAsQTLpo_8onSZljE6vyzCZVWyC5bhv_JrW5xWCJ-gW0A,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813_okDwAEkAVQiKpFGArDMfBuYtfnA4C9gDToIcAA.jpeg?from=2064092626,广东,2025-05-23 15:17:34,湖北的是谁,15,7,,,否,否,,
16 | 7507653481228075788,LUCK（解压食记）,3798186297661322,MS4wLjABAAAAhmOuD6-uWnvcn6oRbHa8NKRUJF__NdPDginIxYKwW7efMtdAlg0IkBeVpKsA3dfO,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-avt-0015_19ae47614ad1ea84205b4f9446a250d3.jpeg?from=2064092626,广东,2025-05-23 22:50:00,雷总你把头像把成这个，我买10辆,261,55,,,否,否,,
17 | 7506481351215579942,🌈Y h,59237659425,MS4wLjABAAAAo9spT8FJ4Zdwm7gq0vsXbu6lpauaMK3YYpc9JzvnuJo,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813_ooxAfC8XVInxkwAAHAAgbTDAl6QS9WaADAeVoC.jpeg?from=2064092626,江苏,2025-05-20 19:01:30,雷总，我的小米14聊天刷视频都烫手[尬笑][尬笑][尬笑],573,215,,,否,否,,
18 | 7506508566116696890,时间的猫,72933156278,MS4wLjABAAAAaMfSDEj8o6e__89fhI8dqYxefOZl1D4RhFEJROkRwN8,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813c000-ce_oUB6bzACPAEoArBeAXBaaHIwPiehTzZAUeiEEV.jpeg?from=2064092626,贵州,2025-05-20 20:47:03,准备买苹果的，可是我能等！,44,7,,,否,否,,
19 | 7507670325846393639,凉夜听风/自律,4032664197929355,MS4wLjABAAAAhJE1pcmIqOiCWkfVIY0igBh4iwHMqn3_q_ocA5OVHahwc8uAIcObox0jT4RIobeq,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813_ogC79ADVvF1fVARWfjVoCAQEAs5FIAmlAQgAVT.jpeg?from=2064092626,甘肃,2025-05-23 23:55:28,"全网最成功的几位博主
20 | 1、湖远行（2534万粉丝）
21 | 2、雷军（4562万粉丝）
22 | 3、董宇辉（2731万粉丝）
23 | 4、我    (59 .79 万粉丝）",3,0,,,否,否,,
24 | 7506483045878727461,在下方何,3369368544881071,MS4wLjABAAAAoaFVNHMv2W9k6GlhkGEr1jBlVkfOZEUbazU6fjL5EqINaMM3SVYokjdyvEzc8yiy,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813_o4AEEkmfADxVZD4XGgFBgRIE9AzYAqGfAACnA8.jpeg?from=2064092626,广东,2025-05-20 19:35:51,爸：吃了吗,1071,119,,,否,否,,
25 | 7507675421903766330,你好，我是一个喜欢女人的中国男人🇨🇳,66454192133,MS4wLjABAAAAPPa3FpsZScnFuxp4zRe2lw-vVqdBPgmVmYKNsPzUjcM,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813c000-ce_oAEbAjHKOFBAlAMAIoEDuRfyQAeYwaapEeRPG9.jpeg?from=2064092626,广东,2025-05-24 00:15:04,只能说，这个芯片更加适合小米。正常来说骁龙芯片，需要各个手机厂商去适配芯片，但是小米的这个芯片，可以更加适配于小米，只能说这次芯片对比骁龙一般般。以后小米更新几代一定会全面超过骁龙的，但是只在小米手机上全面超越，就这个意思。,1,0,,,否,否,,
26 | 7507653011641238331,椰果冻,2955956893538686,MS4wLjABAAAAcUlfUsoimmFwlQ6M0ZRa5YA_k7K11iTX411rfWWKtkkM-kfKD4i_RrMkzaErK5u_,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813c000-ce_oYARAfclDEDnFAeAmUELCYEi1EeIXjpwsZ9u4A.jpeg?from=2064092626,安徽,2025-05-23 22:48:05,爸，不许和我们冷战了[酷拽]一个月没理我们了[流泪],15,2,,,否,否,,
27 | 7506486988432016180,一枕清风明月,1516964907065831,MS4wLjABAAAAGfvWblt_lzcqneYBZKw_YU309MWbISyCUGK4y7W6S_zsjC8LXNc1UMk8l9yhv_j6,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-i-0813c001_oAHICO1HAD3F6Nmo0OFAg4QE9AsfAvXfAACnAG.jpeg?from=2064092626,陕西,2025-05-20 19:57:19,别人不断的黑小米，小米还能像个巨人一样屹立不倒，这才是真正用心的企业。希望小米越来越好,164,0,,,否,否,,
28 | 7506881578614735675,鑫河车机,3318751792735328,MS4wLjABAAAANNWgCK0wglqJMiBk8k69F4R1KEQTeKTQ2xpJ2cc_9Uj-RU6D5vCd8bbz_St-9fR1,https://p3-pc.douyinpic.com/aweme/100x100/aweme-avatar/tos-cn-avt-0015_17e2eb811ff3b2760527e5266eb1d654.jpeg?from=2064092626,江苏,2025-05-21 20:54:31,雷总你冷战期间，我偷偷去买了一部 512G+16G的小米15，下次别再冷战了，我已经没钱了,724,52,,,否,否,,
29 | 


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278 |                         "color": "rgb(56,140,49)"
279 |                     }
280 |                 },
281 |                 {
282 |                     "name": "\u7231\u597d",
283 |                     "value": 1,
284 |                     "textStyle": {
285 |                         "color": "rgb(33,10,76)"
286 |                     }
287 |                 },
288 |                 {
289 |                     "name": "\u517b\u82b1",
290 |                     "value": 1,
291 |                     "textStyle": {
292 |                         "color": "rgb(151,87,83)"
293 |                     }
294 |                 },
295 |                 {
296 |                     "name": "\u5374\u517b",
297 |                     "value": 1,
298 |                     "textStyle": {
299 |                         "color": "rgb(2,34,49)"
300 |                     }
301 |                 },
302 |                 {
303 |                     "name": "\u4e0d\u6d3b",
304 |                     "value": 1,
305 |                     "textStyle": {
306 |                         "color": "rgb(37,53,116)"
307 |                     }
308 |                 }
309 |             ],
310 |             "drawOutOfBound": false,
311 |             "textStyle": {
312 |                 "emphasis": {}
313 |             }
314 |         }
315 |     ],
316 |     "legend": [
317 |         {
318 |             "data": [],
319 |             "selected": {},
320 |             "show": true,
321 |             "padding": 5,
322 |             "itemGap": 10,
323 |             "itemWidth": 25,
324 |             "itemHeight": 14,
325 |             "backgroundColor": "transparent",
326 |             "borderColor": "#ccc",
327 |             "borderRadius": 0,
328 |             "pageButtonItemGap": 5,
329 |             "pageButtonPosition": "end",
330 |             "pageFormatter": "{current}/{total}",
331 |             "pageIconColor": "#2f4554",
332 |             "pageIconInactiveColor": "#aaa",
333 |             "pageIconSize": 15,
334 |             "animationDurationUpdate": 800,
335 |             "selector": false,
336 |             "selectorPosition": "auto",
337 |             "selectorItemGap": 7,
338 |             "selectorButtonGap": 10
339 |         }
340 |     ],
341 |     "tooltip": {
342 |         "show": true,
343 |         "trigger": "item",
344 |         "triggerOn": "mousemove|click",
345 |         "axisPointer": {
346 |             "type": "line"
347 |         },
348 |         "showContent": true,
349 |         "alwaysShowContent": false,
350 |         "showDelay": 0,
351 |         "hideDelay": 100,
352 |         "enterable": false,
353 |         "confine": false,
354 |         "appendToBody": false,
355 |         "transitionDuration": 0.4,
356 |         "textStyle": {
357 |             "fontSize": 14
358 |         },
359 |         "borderWidth": 0,
360 |         "padding": 5,
361 |         "order": "seriesAsc"
362 |     },
363 |     "title": [
364 |         {
365 |             "show": true,
366 |             "text": "\u70ed\u95e8\u8bcd\u6c47 Top 50",
367 |             "target": "blank",
368 |             "subtarget": "blank",
369 |             "padding": 5,
370 |             "itemGap": 10,
371 |             "textAlign": "auto",
372 |             "textVerticalAlign": "auto",
373 |             "triggerEvent": false
374 |         }
375 |     ],
376 |     "toolbox": {
377 |         "show": true,
378 |         "orient": "horizontal",
379 |         "itemSize": 15,
380 |         "itemGap": 10,
381 |         "left": "80%",
382 |         "feature": {
383 |             "saveAsImage": {
384 |                 "type": "png",
385 |                 "backgroundColor": "auto",
386 |                 "connectedBackgroundColor": "#fff",
387 |                 "show": true,
388 |                 "title": "\u4fdd\u5b58\u4e3a\u56fe\u7247",
389 |                 "pixelRatio": 1
390 |             },
391 |             "restore": {
392 |                 "show": true,
393 |                 "title": "\u8fd8\u539f"
394 |             },
395 |             "dataView": {
396 |                 "show": true,
397 |                 "title": "\u6570\u636e\u89c6\u56fe",
398 |                 "readOnly": false,
399 |                 "lang": [
400 |                     "\u6570\u636e\u89c6\u56fe",
401 |                     "\u5173\u95ed",
402 |                     "\u5237\u65b0"
403 |                 ],
404 |                 "backgroundColor": "#fff",
405 |                 "textareaColor": "#fff",
406 |                 "textareaBorderColor": "#333",
407 |                 "textColor": "#000",
408 |                 "buttonColor": "#c23531",
409 |                 "buttonTextColor": "#fff"
410 |             },
411 |             "dataZoom": {
412 |                 "show": true,
413 |                 "title": {
414 |                     "zoom": "\u533a\u57df\u7f29\u653e",
415 |                     "back": "\u533a\u57df\u7f29\u653e\u8fd8\u539f"
416 |                 },
417 |                 "icon": {},
418 |                 "filterMode": "filter"
419 |             },
420 |             "magicType": {
421 |                 "show": true,
422 |                 "type": [
423 |                     "line",
424 |                     "bar",
425 |                     "stack",
426 |                     "tiled"
427 |                 ],
428 |                 "title": {
429 |                     "line": "\u5207\u6362\u4e3a\u6298\u7ebf\u56fe",
430 |                     "bar": "\u5207\u6362\u4e3a\u67f1\u72b6\u56fe",
431 |                     "stack": "\u5207\u6362\u4e3a\u5806\u53e0",
432 |                     "tiled": "\u5207\u6362\u4e3a\u5e73\u94fa"
433 |                 },
434 |                 "icon": {}
435 |             }
436 |         }
437 |     }
438 | };
439 |         chart_985a7605f37740318d5a2be5a1e5f0d2.setOption(option_985a7605f37740318d5a2be5a1e5f0d2);
440 |     </script>
441 | </body>
442 | </html>
443 | 


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/douyin_analysis_results/location_analysis.html:
--------------------------------------------------------------------------------
  1 | <!DOCTYPE html>
  2 | <html>
  3 | <head>
  4 |     <meta charset="UTF-8">
  5 |     <title>Awesome-pyecharts</title>
  6 |                 <script type="text/javascript" src="https://assets.pyecharts.org/assets/v5/echarts.min.js"></script>
  7 | 
  8 |     
  9 | </head>
 10 | <body >
 11 |     <div id="58a0406e15a44760894428188795b342" class="chart-container" style="width:900px; height:500px; "></div>
 12 |     <script>
 13 |         var chart_58a0406e15a44760894428188795b342 = echarts.init(
 14 |             document.getElementById('58a0406e15a44760894428188795b342'), 'light', {renderer: 'canvas'});
 15 |         var option_58a0406e15a44760894428188795b342 = {
 16 |     "animation": true,
 17 |     "animationThreshold": 2000,
 18 |     "animationDuration": 1000,
 19 |     "animationEasing": "cubicOut",
 20 |     "animationDelay": 0,
 21 |     "animationDurationUpdate": 300,
 22 |     "animationEasingUpdate": "cubicOut",
 23 |     "animationDelayUpdate": 0,
 24 |     "aria": {
 25 |         "enabled": false
 26 |     },
 27 |     "series": [
 28 |         {
 29 |             "type": "pie",
 30 |             "colorBy": "data",
 31 |             "legendHoverLink": true,
 32 |             "selectedMode": false,
 33 |             "selectedOffset": 10,
 34 |             "clockwise": true,
 35 |             "startAngle": 90,
 36 |             "minAngle": 0,
 37 |             "minShowLabelAngle": 0,
 38 |             "avoidLabelOverlap": true,
 39 |             "stillShowZeroSum": true,
 40 |             "percentPrecision": 2,
 41 |             "showEmptyCircle": true,
 42 |             "emptyCircleStyle": {
 43 |                 "color": "lightgray",
 44 |                 "borderColor": "#000",
 45 |                 "borderWidth": 0,
 46 |                 "borderType": "solid",
 47 |                 "borderDashOffset": 0,
 48 |                 "borderCap": "butt",
 49 |                 "borderJoin": "bevel",
 50 |                 "borderMiterLimit": 10,
 51 |                 "opacity": 1
 52 |             },
 53 |             "data": [
 54 |                 {
 55 |                     "name": "\u8d35\u5dde",
 56 |                     "value": null
 57 |                 },
 58 |                 {
 59 |                     "name": "\u91cd\u5e86",
 60 |                     "value": null
 61 |                 },
 62 |                 {
 63 |                     "name": "\u5e7f\u4e1c",
 64 |                     "value": null
 65 |                 },
 66 |                 {
 67 |                     "name": "\u4e91\u5357",
 68 |                     "value": null
 69 |                 },
 70 |                 {
 71 |                     "name": "\u7518\u8083",
 72 |                     "value": null
 73 |                 }
 74 |             ],
 75 |             "radius": [
 76 |                 "30%",
 77 |                 "75%"
 78 |             ],
 79 |             "center": [
 80 |                 "50%",
 81 |                 "50%"
 82 |             ],
 83 |             "roseType": "radius",
 84 |             "label": {
 85 |                 "show": true,
 86 |                 "margin": 8,
 87 |                 "formatter": "{b}: {c} ({d}%)",
 88 |                 "valueAnimation": false
 89 |             },
 90 |             "labelLine": {
 91 |                 "show": true,
 92 |                 "showAbove": false,
 93 |                 "length": 15,
 94 |                 "length2": 15,
 95 |                 "smooth": false,
 96 |                 "minTurnAngle": 90,
 97 |                 "maxSurfaceAngle": 90
 98 |             },
 99 |             "rippleEffect": {
100 |                 "show": true,
101 |                 "brushType": "stroke",
102 |                 "scale": 2.5,
103 |                 "period": 4
104 |             }
105 |         }
106 |     ],
107 |     "legend": [
108 |         {
109 |             "data": [
110 |                 "\u8d35\u5dde",
111 |                 "\u91cd\u5e86",
112 |                 "\u5e7f\u4e1c",
113 |                 "\u4e91\u5357",
114 |                 "\u7518\u8083"
115 |             ],
116 |             "selected": {},
117 |             "show": true,
118 |             "left": "5%",
119 |             "top": "15%",
120 |             "orient": "vertical",
121 |             "padding": 5,
122 |             "itemGap": 10,
123 |             "itemWidth": 25,
124 |             "itemHeight": 14,
125 |             "backgroundColor": "transparent",
126 |             "borderColor": "#ccc",
127 |             "borderRadius": 0,
128 |             "pageButtonItemGap": 5,
129 |             "pageButtonPosition": "end",
130 |             "pageFormatter": "{current}/{total}",
131 |             "pageIconColor": "#2f4554",
132 |             "pageIconInactiveColor": "#aaa",
133 |             "pageIconSize": 15,
134 |             "animationDurationUpdate": 800,
135 |             "selector": false,
136 |             "selectorPosition": "auto",
137 |             "selectorItemGap": 7,
138 |             "selectorButtonGap": 10
139 |         }
140 |     ],
141 |     "tooltip": {
142 |         "show": true,
143 |         "trigger": "item",
144 |         "triggerOn": "mousemove|click",
145 |         "axisPointer": {
146 |             "type": "line"
147 |         },
148 |         "showContent": true,
149 |         "alwaysShowContent": false,
150 |         "showDelay": 0,
151 |         "hideDelay": 100,
152 |         "enterable": false,
153 |         "confine": false,
154 |         "appendToBody": false,
155 |         "transitionDuration": 0.4,
156 |         "textStyle": {
157 |             "fontSize": 14
158 |         },
159 |         "borderWidth": 0,
160 |         "padding": 5,
161 |         "order": "seriesAsc"
162 |     },
163 |     "title": [
164 |         {
165 |             "show": true,
166 |             "text": "\u8bc4\u8bba\u5730\u533a\u5206\u5e03",
167 |             "target": "blank",
168 |             "subtarget": "blank",
169 |             "padding": 5,
170 |             "itemGap": 10,
171 |             "textAlign": "auto",
172 |             "textVerticalAlign": "auto",
173 |             "triggerEvent": false
174 |         }
175 |     ],
176 |     "toolbox": {
177 |         "show": true,
178 |         "orient": "horizontal",
179 |         "itemSize": 15,
180 |         "itemGap": 10,
181 |         "left": "80%",
182 |         "feature": {
183 |             "saveAsImage": {
184 |                 "type": "png",
185 |                 "backgroundColor": "auto",
186 |                 "connectedBackgroundColor": "#fff",
187 |                 "show": true,
188 |                 "title": "\u4fdd\u5b58\u4e3a\u56fe\u7247",
189 |                 "pixelRatio": 1
190 |             },
191 |             "restore": {
192 |                 "show": true,
193 |                 "title": "\u8fd8\u539f"
194 |             },
195 |             "dataView": {
196 |                 "show": true,
197 |                 "title": "\u6570\u636e\u89c6\u56fe",
198 |                 "readOnly": false,
199 |                 "lang": [
200 |                     "\u6570\u636e\u89c6\u56fe",
201 |                     "\u5173\u95ed",
202 |                     "\u5237\u65b0"
203 |                 ],
204 |                 "backgroundColor": "#fff",
205 |                 "textareaColor": "#fff",
206 |                 "textareaBorderColor": "#333",
207 |                 "textColor": "#000",
208 |                 "buttonColor": "#c23531",
209 |                 "buttonTextColor": "#fff"
210 |             },
211 |             "dataZoom": {
212 |                 "show": true,
213 |                 "title": {
214 |                     "zoom": "\u533a\u57df\u7f29\u653e",
215 |                     "back": "\u533a\u57df\u7f29\u653e\u8fd8\u539f"
216 |                 },
217 |                 "icon": {},
218 |                 "filterMode": "filter"
219 |             },
220 |             "magicType": {
221 |                 "show": true,
222 |                 "type": [
223 |                     "line",
224 |                     "bar",
225 |                     "stack",
226 |                     "tiled"
227 |                 ],
228 |                 "title": {
229 |                     "line": "\u5207\u6362\u4e3a\u6298\u7ebf\u56fe",
230 |                     "bar": "\u5207\u6362\u4e3a\u67f1\u72b6\u56fe",
231 |                     "stack": "\u5207\u6362\u4e3a\u5806\u53e0",
232 |                     "tiled": "\u5207\u6362\u4e3a\u5e73\u94fa"
233 |                 },
234 |                 "icon": {}
235 |             }
236 |         }
237 |     }
238 | };
239 |         chart_58a0406e15a44760894428188795b342.setOption(option_58a0406e15a44760894428188795b342);
240 |     </script>
241 | </body>
242 | </html>
243 | 


--------------------------------------------------------------------------------
/douyin_analysis_results/requirements.txt:
--------------------------------------------------------------------------------
1 | DrissionPage>=3.0.0
2 | pandas>=1.3.0
3 | jieba>=0.42.1
4 | wordcloud>=1.8.2
5 | matplotlib>=3.5.0
6 | pyecharts>=1.9.0
7 | numpy>=1.20.0
8 | pillow>=9.0.0 


--------------------------------------------------------------------------------
/douyin_analysis_results/time_analysis.html:
--------------------------------------------------------------------------------
  1 | <!DOCTYPE html>
  2 | <html>
  3 | <head>
  4 |     <meta charset="UTF-8">
  5 |     <title>Awesome-pyecharts</title>
  6 |                 <script type="text/javascript" src="https://assets.pyecharts.org/assets/v5/echarts.min.js"></script>
  7 | 
  8 |     
  9 | </head>
 10 | <body >
 11 |     <div id="e9c7a88690fd4814bee540615cd77471" class="chart-container" style="width:900px; height:500px; "></div>
 12 |     <script>
 13 |         var chart_e9c7a88690fd4814bee540615cd77471 = echarts.init(
 14 |             document.getElementById('e9c7a88690fd4814bee540615cd77471'), 'light', {renderer: 'canvas'});
 15 |         var option_e9c7a88690fd4814bee540615cd77471 = {
 16 |     "animation": true,
 17 |     "animationThreshold": 2000,
 18 |     "animationDuration": 1000,
 19 |     "animationEasing": "cubicOut",
 20 |     "animationDelay": 0,
 21 |     "animationDurationUpdate": 300,
 22 |     "animationEasingUpdate": "cubicOut",
 23 |     "animationDelayUpdate": 0,
 24 |     "aria": {
 25 |         "enabled": false
 26 |     },
 27 |     "series": [
 28 |         {
 29 |             "type": "bar",
 30 |             "name": "\u8bc4\u8bba\u6570",
 31 |             "legendHoverLink": true,
 32 |             "data": [
 33 |                 1,
 34 |                 1,
 35 |                 1,
 36 |                 1,
 37 |                 1
 38 |             ],
 39 |             "realtimeSort": false,
 40 |             "showBackground": false,
 41 |             "stackStrategy": "samesign",
 42 |             "cursor": "pointer",
 43 |             "barMinHeight": 0,
 44 |             "barCategoryGap": "20%",
 45 |             "barGap": "30%",
 46 |             "large": false,
 47 |             "largeThreshold": 400,
 48 |             "seriesLayoutBy": "column",
 49 |             "datasetIndex": 0,
 50 |             "clip": true,
 51 |             "zlevel": 0,
 52 |             "z": 2,
 53 |             "label": {
 54 |                 "show": true,
 55 |                 "margin": 8,
 56 |                 "valueAnimation": false
 57 |             }
 58 |         }
 59 |     ],
 60 |     "legend": [
 61 |         {
 62 |             "data": [
 63 |                 "\u8bc4\u8bba\u6570"
 64 |             ],
 65 |             "selected": {},
 66 |             "show": true,
 67 |             "padding": 5,
 68 |             "itemGap": 10,
 69 |             "itemWidth": 25,
 70 |             "itemHeight": 14,
 71 |             "backgroundColor": "transparent",
 72 |             "borderColor": "#ccc",
 73 |             "borderRadius": 0,
 74 |             "pageButtonItemGap": 5,
 75 |             "pageButtonPosition": "end",
 76 |             "pageFormatter": "{current}/{total}",
 77 |             "pageIconColor": "#2f4554",
 78 |             "pageIconInactiveColor": "#aaa",
 79 |             "pageIconSize": 15,
 80 |             "animationDurationUpdate": 800,
 81 |             "selector": false,
 82 |             "selectorPosition": "auto",
 83 |             "selectorItemGap": 7,
 84 |             "selectorButtonGap": 10
 85 |         }
 86 |     ],
 87 |     "tooltip": {
 88 |         "show": true,
 89 |         "trigger": "item",
 90 |         "triggerOn": "mousemove|click",
 91 |         "axisPointer": {
 92 |             "type": "line"
 93 |         },
 94 |         "showContent": true,
 95 |         "alwaysShowContent": false,
 96 |         "showDelay": 0,
 97 |         "hideDelay": 100,
 98 |         "enterable": false,
 99 |         "confine": false,
100 |         "appendToBody": false,
101 |         "transitionDuration": 0.4,
102 |         "textStyle": {
103 |             "fontSize": 14
104 |         },
105 |         "borderWidth": 0,
106 |         "padding": 5,
107 |         "order": "seriesAsc"
108 |     },
109 |     "xAxis": [
110 |         {
111 |             "name": "\u5c0f\u65f6",
112 |             "show": true,
113 |             "scale": false,
114 |             "nameLocation": "end",
115 |             "nameGap": 15,
116 |             "gridIndex": 0,
117 |             "inverse": false,
118 |             "offset": 0,
119 |             "splitNumber": 5,
120 |             "minInterval": 0,
121 |             "splitLine": {
122 |                 "show": true,
123 |                 "lineStyle": {
124 |                     "show": true,
125 |                     "width": 1,
126 |                     "opacity": 1,
127 |                     "curveness": 0,
128 |                     "type": "solid"
129 |                 }
130 |             },
131 |             "animation": true,
132 |             "animationThreshold": 2000,
133 |             "animationDuration": 1000,
134 |             "animationEasing": "cubicOut",
135 |             "animationDelay": 0,
136 |             "animationDurationUpdate": 300,
137 |             "animationEasingUpdate": "cubicOut",
138 |             "animationDelayUpdate": 0,
139 |             "data": [
140 |                 10,
141 |                 18,
142 |                 19,
143 |                 20,
144 |                 23
145 |             ]
146 |         }
147 |     ],
148 |     "yAxis": [
149 |         {
150 |             "name": "\u8bc4\u8bba\u6570",
151 |             "show": true,
152 |             "scale": false,
153 |             "nameLocation": "end",
154 |             "nameGap": 15,
155 |             "gridIndex": 0,
156 |             "inverse": false,
157 |             "offset": 0,
158 |             "splitNumber": 5,
159 |             "minInterval": 0,
160 |             "splitLine": {
161 |                 "show": true,
162 |                 "lineStyle": {
163 |                     "show": true,
164 |                     "width": 1,
165 |                     "opacity": 1,
166 |                     "curveness": 0,
167 |                     "type": "solid"
168 |                 }
169 |             },
170 |             "animation": true,
171 |             "animationThreshold": 2000,
172 |             "animationDuration": 1000,
173 |             "animationEasing": "cubicOut",
174 |             "animationDelay": 0,
175 |             "animationDurationUpdate": 300,
176 |             "animationEasingUpdate": "cubicOut",
177 |             "animationDelayUpdate": 0
178 |         }
179 |     ],
180 |     "title": [
181 |         {
182 |             "show": true,
183 |             "text": "\u8bc4\u8bba\u65f6\u95f4\u5206\u5e03 (\u5c0f\u65f6)",
184 |             "target": "blank",
185 |             "subtarget": "blank",
186 |             "padding": 5,
187 |             "itemGap": 10,
188 |             "textAlign": "auto",
189 |             "textVerticalAlign": "auto",
190 |             "triggerEvent": false
191 |         }
192 |     ],
193 |     "toolbox": {
194 |         "show": true,
195 |         "orient": "horizontal",
196 |         "itemSize": 15,
197 |         "itemGap": 10,
198 |         "left": "80%",
199 |         "feature": {
200 |             "saveAsImage": {
201 |                 "type": "png",
202 |                 "backgroundColor": "auto",
203 |                 "connectedBackgroundColor": "#fff",
204 |                 "show": true,
205 |                 "title": "\u4fdd\u5b58\u4e3a\u56fe\u7247",
206 |                 "pixelRatio": 1
207 |             },
208 |             "restore": {
209 |                 "show": true,
210 |                 "title": "\u8fd8\u539f"
211 |             },
212 |             "dataView": {
213 |                 "show": true,
214 |                 "title": "\u6570\u636e\u89c6\u56fe",
215 |                 "readOnly": false,
216 |                 "lang": [
217 |                     "\u6570\u636e\u89c6\u56fe",
218 |                     "\u5173\u95ed",
219 |                     "\u5237\u65b0"
220 |                 ],
221 |                 "backgroundColor": "#fff",
222 |                 "textareaColor": "#fff",
223 |                 "textareaBorderColor": "#333",
224 |                 "textColor": "#000",
225 |                 "buttonColor": "#c23531",
226 |                 "buttonTextColor": "#fff"
227 |             },
228 |             "dataZoom": {
229 |                 "show": true,
230 |                 "title": {
231 |                     "zoom": "\u533a\u57df\u7f29\u653e",
232 |                     "back": "\u533a\u57df\u7f29\u653e\u8fd8\u539f"
233 |                 },
234 |                 "icon": {},
235 |                 "filterMode": "filter"
236 |             },
237 |             "magicType": {
238 |                 "show": true,
239 |                 "type": [
240 |                     "line",
241 |                     "bar",
242 |                     "stack",
243 |                     "tiled"
244 |                 ],
245 |                 "title": {
246 |                     "line": "\u5207\u6362\u4e3a\u6298\u7ebf\u56fe",
247 |                     "bar": "\u5207\u6362\u4e3a\u67f1\u72b6\u56fe",
248 |                     "stack": "\u5207\u6362\u4e3a\u5806\u53e0",
249 |                     "tiled": "\u5207\u6362\u4e3a\u5e73\u94fa"
250 |                 },
251 |                 "icon": {}
252 |             }
253 |         }
254 |     }
255 | };
256 |         chart_e9c7a88690fd4814bee540615cd77471.setOption(option_e9c7a88690fd4814bee540615cd77471);
257 |     </script>
258 | </body>
259 | </html>
260 | 


--------------------------------------------------------------------------------
/douyin_analysis_results/抖音工具集.py:
--------------------------------------------------------------------------------
  1 | """
  2 | 抖音评论爬取与分析工具 - 统一入口
  3 | 
  4 | 功能:
  5 | 1. 爬取抖音视频评论
  6 | 2. 分析评论数据并生成可视化图表
  7 | 3. 支持爬取全部评论，不受限于页数
  8 | 4. 支持通过关键词搜索视频并爬取评论
  9 | 5. 按日期时间保存数据，便于历史追踪
 10 | 
 11 | 日期: 2025年3月12日
 12 | 版本: 3.1
 13 | 作者: TO：梁
 14 | """
 15 | 
 16 | import os
 17 | import sys
 18 | import time
 19 | 
 20 | # 导入爬虫和分析器
 21 | try:
 22 |     from 抖音评论爬虫 import DouyinCommentCrawler
 23 |     from 抖音数据分析器 import CommentAnalyzer
 24 |     from 抖音视频搜索 import DouyinVideoSearcher
 25 | except ImportError:
 26 |     print("正在导入模块...")
 27 |     # 尝试相对导入
 28 |     try:
 29 |         # 当前文件目录
 30 |         current_dir = os.path.dirname(os.path.abspath(__file__))
 31 |         if current_dir not in sys.path:
 32 |             sys.path.append(current_dir)
 33 |         
 34 |         from 抖音评论爬虫 import DouyinCommentCrawler
 35 |         from 抖音数据分析器 import CommentAnalyzer
 36 |         from 抖音视频搜索 import DouyinVideoSearcher
 37 |     except ImportError:
 38 |         print("无法导入必要模块。请确保相关模块文件位于同一目录下。")
 39 |         sys.exit(1)
 40 | 
 41 | 
 42 | def show_banner():
 43 |     """显示欢迎横幅"""
 44 |     print("\n" + "=" * 80)
 45 |     print("抖音评论爬取与分析工具 V3.1".center(78))
 46 |     print("=" * 80)
 47 |     print("  功能：爬取抖音视频评论数据并生成多维度分析图表")
 48 |     print("  特点：支持爬取全部评论 | 自动保存历史数据 | 多维度数据可视化 | 关键词搜索视频")
 49 |     print("  作者：TO：梁")
 50 |     print("=" * 80 + "\n")
 51 | 
 52 | 
 53 | def print_section(title):
 54 |     """打印带有分隔符的小节标题"""
 55 |     print("\n" + "-" * 50)
 56 |     print(f" {title} ".center(48, "-"))
 57 |     print("-" * 50)
 58 | 
 59 | 
 60 | def show_menu():
 61 |     """显示主菜单"""
 62 |     print_section("主菜单")
 63 |     print("1. 爬取新的评论并分析")
 64 |     print("2. 分析已有的评论数据")
 65 |     print("3. 同时执行爬取和分析")
 66 |     print("4. 通过关键词搜索视频并爬取评论")
 67 |     print("0. 退出程序")
 68 |     return input("\n请选择操作 [0-4]: ")
 69 | 
 70 | 
 71 | def crawl_comments():
 72 |     """爬取评论功能"""
 73 |     print_section("评论爬取")
 74 |     
 75 |     # 获取视频URL
 76 |     video_url = input("请输入抖音视频URL (例如: https://www.douyin.com/video/7353500880198536457): ")
 77 |     if not video_url:
 78 |         print("错误: URL不能为空!")
 79 |         return None
 80 |     
 81 |     # 设置最大爬取页数
 82 |     try:
 83 |         pages_input = input("请输入最大爬取页数 (直接回车表示爬取全部评论): ")
 84 |         max_pages = int(pages_input) if pages_input.strip() else None
 85 |     except ValueError:
 86 |         max_pages = None
 87 |     
 88 |     if max_pages is None:
 89 |         print("将爬取全部评论，直到没有更多评论为止")
 90 |     else:
 91 |         print(f"将爬取最多 {max_pages} 页评论")
 92 |     
 93 |     # 询问是否使用正常模式
 94 |     use_normal_mode = input("是否使用正常浏览器模式 (可以登录账号) [Y/n]: ").lower() != 'n'
 95 |     
 96 |     # 如果使用正常模式，询问是否需要先登录
 97 |     login_first = False
 98 |     if use_normal_mode:
 99 |         login_first = input("是否需要在爬取前先登录抖音账号 [y/N]: ").lower() == 'y'
100 |     
101 |     # 创建爬虫实例
102 |     print("\n正在初始化爬虫...")
103 |     crawler = DouyinCommentCrawler(
104 |         video_url=video_url, 
105 |         max_pages=max_pages,
106 |         use_normal_mode=use_normal_mode,
107 |         login_first=login_first
108 |     )
109 |     
110 |     # 执行爬取
111 |     print("\n开始爬取评论，请稍候...\n")
112 |     start_time = time.time()
113 |     comments = crawler.start_crawler()
114 |     end_time = time.time()
115 |     
116 |     # 打印爬取结果
117 |     if comments:
118 |         print(f"\n成功爬取 {len(comments)} 条评论，耗时 {end_time - start_time:.2f} 秒")
119 |         print(f"评论已保存到文件: {crawler.get_output_file()}")
120 |         return crawler.get_output_file()
121 |     else:
122 |         print("\n爬取失败或未获取到评论")
123 |         return None
124 | 
125 | 
126 | def analyze_comments(csv_file=None):
127 |     """分析评论功能"""
128 |     print_section("评论分析")
129 |     
130 |     if not csv_file:
131 |         print("\n请选择操作:")
132 |         print("1. 分析最新爬取的评论数据")
133 |         print("2. 指定CSV文件进行分析")
134 |         choice = input("请输入选项 (1/2): ")
135 |         
136 |         if choice == "2":
137 |             csv_file = input("请输入CSV文件路径: ")
138 |             if not os.path.exists(csv_file):
139 |                 print(f"错误: 文件 {csv_file} 不存在!")
140 |                 return
141 |     
142 |     # 设置词云形状图片
143 |     shape_img = input("请输入词云形状图片路径 (留空使用默认形状): ")
144 |     if shape_img and not os.path.exists(shape_img):
145 |         print(f"警告: 图片 {shape_img} 不存在，将使用默认形状")
146 |         shape_img = None
147 |     
148 |     # 创建分析器
149 |     print("\n正在初始化分析器...")
150 |     analyzer = CommentAnalyzer(csv_file=csv_file)
151 |     
152 |     # 执行所有分析
153 |     print("\n开始分析评论数据，请稍候...\n")
154 |     start_time = time.time()
155 |     try:
156 |         outputs = analyzer.run_all_analysis(shape_img=shape_img)
157 |         end_time = time.time()
158 |         
159 |         print(f"\n分析完成! 耗时 {end_time - start_time:.2f} 秒")
160 |         print("生成的文件:")
161 |         for output in outputs:
162 |             print(f" - {output}")
163 |     except Exception as e:
164 |         print(f"分析过程中出错: {str(e)}")
165 | 
166 | 
167 | def search_and_crawl_comments():
168 |     """通过关键词搜索视频并爬取评论功能"""
169 |     print_section("视频搜索与评论爬取")
170 |     
171 |     # 获取搜索关键词
172 |     keyword = input("请输入要搜索的关键词: ")
173 |     if not keyword:
174 |         print("错误: 关键词不能为空!")
175 |         return None
176 |     
177 |     # 设置搜索结果数量
178 |     try:
179 |         result_count_input = input("请输入要显示的最大搜索结果数量 (直接回车默认为10): ")
180 |         max_results = int(result_count_input) if result_count_input.strip() else 10
181 |     except ValueError:
182 |         max_results = 10
183 |     
184 |     # 询问是否使用正常模式
185 |     use_normal_mode = input("是否使用正常浏览器模式 (可以登录账号) [Y/n]: ").lower() != 'n'
186 |     
187 |     # 如果使用正常模式，询问是否需要先登录
188 |     login_first = False
189 |     if use_normal_mode:
190 |         login_first = input("是否需要在搜索前先登录抖音账号 [y/N]: ").lower() == 'y'
191 |     
192 |     # 创建搜索器实例
193 |     print("\n正在初始化搜索器...")
194 |     searcher = DouyinVideoSearcher(
195 |         use_normal_mode=use_normal_mode,
196 |         login_first=login_first
197 |     )
198 |     
199 |     # 执行搜索
200 |     print(f"\n开始搜索关键词: \"{keyword}\"，请稍候...\n")
201 |     start_time = time.time()
202 |     search_results = searcher.search_videos(keyword, max_results)
203 |     end_time = time.time()
204 |     
205 |     # 处理搜索结果
206 |     if not search_results:
207 |         print("\n未找到相关视频或搜索失败")
208 |         if searcher.driver:
209 |             searcher.close()
210 |         return None
211 |     
212 |     print(f"\n成功找到 {len(search_results)} 个相关视频，耗时 {end_time - start_time:.2f} 秒")
213 |     
214 |     # 显示搜索结果
215 |     searcher.display_search_results()
216 |     
217 |     # 用户选择视频
218 |     selected_video = searcher.select_video()
219 |     if not selected_video:
220 |         print("\n未选择任何视频，操作取消")
221 |         if searcher.driver:
222 |             searcher.close()
223 |         return None
224 |     
225 |     # 获取选定视频的URL
226 |     video_url = selected_video['url']
227 |     
228 |     # 设置最大爬取页数
229 |     try:
230 |         pages_input = input("\n请输入最大爬取页数 (直接回车表示爬取全部评论): ")
231 |         max_pages = int(pages_input) if pages_input.strip() else None
232 |     except ValueError:
233 |         max_pages = None
234 |     
235 |     if max_pages is None:
236 |         print("将爬取全部评论，直到没有更多评论为止")
237 |     else:
238 |         print(f"将爬取最多 {max_pages} 页评论")
239 |     
240 |     # 关闭搜索浏览器
241 |     if searcher.driver:
242 |         searcher.close()
243 |     
244 |     # 创建爬虫实例
245 |     print("\n正在初始化爬虫...")
246 |     crawler = DouyinCommentCrawler(
247 |         video_url=video_url, 
248 |         max_pages=max_pages,
249 |         use_normal_mode=use_normal_mode,
250 |         login_first=login_first
251 |     )
252 |     
253 |     # 执行爬取
254 |     print("\n开始爬取评论，请稍候...\n")
255 |     start_time = time.time()
256 |     comments = crawler.start_crawler()
257 |     end_time = time.time()
258 |     
259 |     # 打印爬取结果
260 |     if comments:
261 |         print(f"\n成功爬取 {len(comments)} 条评论，耗时 {end_time - start_time:.2f} 秒")
262 |         print(f"评论已保存到文件: {crawler.get_output_file()}")
263 |         return crawler.get_output_file()
264 |     else:
265 |         print("\n爬取失败或未获取到评论")
266 |         return None
267 | 
268 | 
269 | def main():
270 |     """主函数"""
271 |     show_banner()
272 |     
273 |     while True:
274 |         choice = show_menu()
275 |         
276 |         if choice == "1":
277 |             # 爬取新评论
278 |             csv_file = crawl_comments()
279 |             
280 |             # 询问是否要分析
281 |             if csv_file:
282 |                 if input("\n是否要分析刚爬取的评论数据? (y/n): ").lower() == 'y':
283 |                     analyze_comments(csv_file)
284 |         
285 |         elif choice == "2":
286 |             # 分析已有评论
287 |             analyze_comments()
288 |         
289 |         elif choice == "3":
290 |             # 爬取并分析
291 |             csv_file = crawl_comments()
292 |             if csv_file:
293 |                 print("\n自动开始分析评论数据...")
294 |                 analyze_comments(csv_file)
295 |                 
296 |         elif choice == "4":
297 |             # 搜索并爬取评论
298 |             csv_file = search_and_crawl_comments()
299 |             
300 |             # 询问是否要分析
301 |             if csv_file:
302 |                 if input("\n是否要分析刚爬取的评论数据? (y/n): ").lower() == 'y':
303 |                     analyze_comments(csv_file)
304 |         
305 |         elif choice == "0":
306 |             print("\n感谢使用，再见!")
307 |             break
308 |         
309 |         else:
310 |             print("\n无效的选择，请重新输入")
311 |         
312 |         input("\n按Enter键继续...")
313 | 
314 | 
315 | if __name__ == "__main__":
316 |     main()


--------------------------------------------------------------------------------
/douyin_analysis_results/抖音视频搜索.py:
--------------------------------------------------------------------------------
  1 | """
  2 | 抖音视频搜索模块 - URL版本
  3 | 
  4 | 功能：
  5 | 1. 根据关键词搜索抖音视频
  6 | 2. 返回搜索结果中的视频列表
  7 | 3. 支持通过网络接口获取搜索结果，无需浏览器
  8 | 
  9 | 日期: 2024年
 10 | """
 11 | 
 12 | import time
 13 | import random
 14 | import re
 15 | import json
 16 | import requests
 17 | from urllib.parse import quote, urlencode
 18 | import hashlib
 19 | 
 20 | 
 21 | class DouyinVideoSearcher:
 22 |     """抖音视频搜索类 - URL版本"""
 23 |     
 24 |     def __init__(self):
 25 |         """初始化搜索器"""
 26 |         self.session = requests.Session()
 27 |         self.headers = {
 28 |             'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36',
 29 |             'Referer': 'https://www.douyin.com/',
 30 |             'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7',
 31 |             'Accept-Language': 'zh-CN,zh;q=0.9,en;q=0.8',
 32 |             'Sec-Fetch-Site': 'same-origin',
 33 |             'Sec-Fetch-Mode': 'navigate',
 34 |         }
 35 |         self.search_results = []
 36 | 
 37 |     def search_direct_url(self, keyword, max_videos=10):
 38 |         """
 39 |         使用网络搜索API直接获取视频列表
 40 |         
 41 |         :param keyword: 搜索关键词
 42 |         :param max_videos: 最大返回视频数量
 43 |         :return: 视频列表
 44 |         """
 45 |         print(f"\n正在初始化搜索器...")
 46 |         
 47 |         if not keyword:
 48 |             print("错误: 搜索关键词不能为空")
 49 |             return []
 50 |         
 51 |         print(f"\n开始搜索关键词: \"{keyword}\"，请稍候...")
 52 |         
 53 |         try:
 54 |             # 方法1：搜索页URL格式
 55 |             encoded_keyword = quote(keyword)
 56 |             search_url = f"https://www.douyin.com/search/{encoded_keyword}"
 57 |             
 58 |             # 访问搜索页面
 59 |             results = self._fetch_search_results(search_url, max_videos)
 60 |             if results:
 61 |                 print(f"搜索成功，找到 {len(results)} 个视频")
 62 |                 self.search_results = results
 63 |                 return results
 64 |             
 65 |             # 方法2：使用热门分享URL
 66 |             print("尝试使用备用方法搜索...")
 67 |             try:
 68 |                 backup_results = self._search_by_keywords(keyword, max_videos)
 69 |                 if backup_results:
 70 |                     print(f"备用搜索成功，找到 {len(backup_results)} 个视频")
 71 |                     self.search_results = backup_results
 72 |                     return backup_results
 73 |             except Exception as e:
 74 |                 print(f"备用搜索方法失败: {e}")
 75 |             
 76 |             print("未找到相关视频或搜索失败")
 77 |             return []
 78 |             
 79 |         except Exception as e:
 80 |             print(f"搜索出错: {str(e)}")
 81 |             return []
 82 |     
 83 |     def _fetch_search_results(self, url, max_count=10):
 84 |         """从URL获取搜索结果"""
 85 |         try:
 86 |             response = self.session.get(url, headers=self.headers, timeout=10)
 87 |             if response.status_code != 200:
 88 |                 return []
 89 |             
 90 |             # 尝试从HTML中提取视频信息
 91 |             html = response.text
 92 |             video_ids = re.findall(r'/video/(\d+)', html)
 93 |             
 94 |             if not video_ids:
 95 |                 return []
 96 |             
 97 |             # 去重
 98 |             video_ids = list(set(video_ids))[:max_count]
 99 |             
100 |             results = []
101 |             for vid in video_ids:
102 |                 video_url = f"https://www.douyin.com/video/{vid}"
103 |                 # 获取视频详情
104 |                 try:
105 |                     video_info = self._fetch_video_info(video_url)
106 |                     if video_info:
107 |                         results.append(video_info)
108 |                 except Exception as e:
109 |                     print(f"获取视频 {vid} 信息失败: {str(e)}")
110 |             
111 |             return results
112 |         
113 |         except Exception as e:
114 |             print(f"获取搜索结果失败: {str(e)}")
115 |             return []
116 |     
117 |     def _fetch_video_info(self, video_url):
118 |         """获取视频详细信息"""
119 |         try:
120 |             response = self.session.get(video_url, headers=self.headers, timeout=10)
121 |             if response.status_code != 200:
122 |                 return None
123 |             
124 |             html = response.text
125 |             
126 |             # 提取标题
127 |             title_match = re.search(r'<title[^>]*>(.*?)</title>', html)
128 |             title = title_match.group(1) if title_match else "未知标题"
129 |             # 清理标题
130 |             title = title.replace(" - 抖音", "").strip()
131 |             
132 |             # 提取作者
133 |             author_match = re.search(r'name="author" content="([^"]+)"', html)
134 |             author = author_match.group(1) if author_match else "未知作者"
135 |             
136 |             # 提取视频ID
137 |             video_id = video_url.split("/")[-1].split("?")[0]
138 |             
139 |             return {
140 |                 'title': title,
141 |                 'author': author,
142 |                 'url': video_url,
143 |                 'video_id': video_id,
144 |                 'likes': "未知",
145 |                 'comments': "未知"
146 |             }
147 |         
148 |         except Exception as e:
149 |             print(f"获取视频信息失败: {str(e)}")
150 |             return None
151 |     
152 |     def _search_by_keywords(self, keyword, max_count=10):
153 |         """使用关键词搜索抖音视频的URL方法"""
154 |         # 构建搜索URL
155 |         keyword_for_api = quote(keyword)
156 |         search_api_url = f"https://www.douyin.com/aweme/v1/web/general/search/single/"
157 |         
158 |         # 生成时间戳和设备ID
159 |         timestamp = str(int(time.time()))
160 |         device_id = hashlib.md5(timestamp.encode()).hexdigest()[:16]  # 简单模拟设备ID
161 |         
162 |         # 搜索参数
163 |         params = {
164 |             'keyword': keyword,
165 |             'device_platform': 'webapp',
166 |             'source': 'normal_search',
167 |             'search_channel': 'aweme_general',
168 |             'type': 1,  # 视频类型
169 |             'device_id': device_id,
170 |             'count': max_count,
171 |             'version_name': '23.5.0',
172 |             'aid': 6383
173 |         }
174 |         
175 |         headers = self.headers.copy()
176 |         headers['Content-Type'] = 'application/json'
177 |         
178 |         try:
179 |             response = self.session.get(
180 |                 search_api_url, 
181 |                 params=params,
182 |                 headers=headers,
183 |                 timeout=10
184 |             )
185 |             
186 |             # 尝试解析JSON响应
187 |             if response.status_code == 200:
188 |                 try:
189 |                     data = response.json()
190 |                     if 'status_code' in data and data['status_code'] == 0:
191 |                         # 提取视频信息
192 |                         videos = []
193 |                         for item in data.get('data', []):
194 |                             if 'aweme_info' in item:
195 |                                 video = item['aweme_info']
196 |                                 video_id = video.get('aweme_id')
197 |                                 title = video.get('desc', '未知标题')
198 |                                 author = video.get('author', {}).get('nickname', '未知作者')
199 |                                 video_url = f"https://www.douyin.com/video/{video_id}"
200 |                                 
201 |                                 videos.append({
202 |                                     'title': title,
203 |                                     'author': author,
204 |                                     'url': video_url,
205 |                                     'video_id': video_id,
206 |                                     'likes': "未知",
207 |                                     'comments': "未知"
208 |                                 })
209 |                         
210 |                         return videos
211 |                 except json.JSONDecodeError:
212 |                     pass
213 |             
214 |             # 备用方法：使用web搜索页面
215 |             backup_url = f"https://www.douyin.com/search/{keyword_for_api}?source=normal_search&type=video"
216 |             return self._fetch_search_results(backup_url, max_count)
217 |             
218 |         except Exception as e:
219 |             print(f"通过关键词API搜索失败: {str(e)}")
220 |             # 尝试备用方法
221 |             try:
222 |                 backup_url = f"https://www.douyin.com/search/{keyword_for_api}?aid=0&source=normal_search&type=video"
223 |                 return self._fetch_search_results(backup_url, max_count)
224 |             except:
225 |                 return []
226 | 
227 |     def search_videos(self, keyword, max_videos=10):
228 |         """保留旧的接口名称兼容已有代码调用"""
229 |         return self.search_direct_url(keyword, max_videos)
230 |             
231 |     def display_search_results(self):
232 |         """显示搜索结果"""
233 |         if not self.search_results:
234 |             print("没有找到视频结果")
235 |             return
236 |             
237 |         print("\n" + "=" * 80)
238 |         print(" 搜索结果 ".center(78, "="))
239 |         print("=" * 80)
240 |         
241 |         for i, video in enumerate(self.search_results):
242 |             # 安全获取视频信息
243 |             title = video.get('title', '未知标题')
244 |             author = video.get('author', '未知作者')
245 |             likes = video.get('likes', '未知')
246 |             comments = video.get('comments', '未知')
247 |             video_url = video.get('url', '')
248 |             
249 |             print(f"\n[{i+1}] {title}")
250 |             print(f"   作者: {author}")
251 |             print(f"   点赞: {likes} | 评论: {comments}")
252 |             print(f"   链接: {video_url}")
253 |             print("-" * 80)
254 |             
255 |     def select_video(self):
256 |         """让用户选择一个视频"""
257 |         if not self.search_results:
258 |             print("没有可选择的视频")
259 |             return None
260 |             
261 |         # 安全处理，确保至少有一个有效结果
262 |         valid_results = [v for v in self.search_results if 'url' in v and v['url']]
263 |         if not valid_results:
264 |             print("没有找到有效的视频链接")
265 |             return None
266 |         
267 |         # 将有效结果更新回搜索结果
268 |         self.search_results = valid_results
269 |             
270 |         while True:
271 |             try:
272 |                 choice = input("\n请选择要爬取评论的视频编号 [1-{}]: ".format(len(self.search_results)))
273 |                 
274 |                 if not choice.strip():
275 |                     return None
276 |                     
277 |                 index = int(choice) - 1
278 |                 if 0 <= index < len(self.search_results):
279 |                     selected_video = self.search_results[index]
280 |                     print(f"\n已选择: {selected_video.get('title', '未知视频')}")
281 |                     return selected_video
282 |                 else:
283 |                     print(f"无效的选择，请输入 1-{len(self.search_results)} 之间的数字")
284 |             except ValueError:
285 |                 print("请输入有效的数字")
286 |             except Exception as e:
287 |                 print(f"选择视频时发生错误: {str(e)}")
288 |                 return None
289 | 
290 | 
291 | def main():
292 |     """主函数"""
293 |     print("=" * 60)
294 |     print("抖音视频搜索工具 - URL版本")
295 |     print("=" * 60)
296 |     
297 |     # 创建搜索器实例
298 |     searcher = DouyinVideoSearcher()
299 |     
300 |     while True:
301 |         # 获取搜索关键词
302 |         keyword = input("\n请输入搜索关键词 (直接回车退出): ")
303 |         
304 |         if not keyword.strip():
305 |             print("退出搜索")
306 |             break
307 |         
308 |         # 设置最大返回结果数
309 |         try:
310 |             max_count_input = input("请输入最大返回结果数 (直接回车使用默认值10): ")
311 |             max_count = int(max_count_input) if max_count_input.strip() else 10
312 |         except ValueError:
313 |             max_count = 10
314 |             print("输入格式错误，使用默认值10")
315 |         
316 |         # 执行搜索
317 |         videos = searcher.search_direct_url(keyword, max_count)
318 |         
319 |         # 显示搜索结果
320 |         searcher.display_search_results()
321 |         
322 |         # 选择视频（如果有结果）
323 |         if videos:
324 |             selected = searcher.select_video()
325 |             if selected:
326 |                 # 询问是否爬取评论
327 |                 crawl_choice = input("\n是否立即爬取该视频的评论? (y/n): ")
328 |                 if crawl_choice.lower() == 'y':
329 |                     try:
330 |                         # 导入爬虫模块并爬取评论
331 |                         from 抖音评论爬虫 import DouyinCommentCrawler
332 |                         
333 |                         # 询问是否使用正常浏览器模式
334 |                         use_normal_mode = input("是否使用正常浏览器模式 (可以登录账号) [Y/n]: ").lower() != 'n'
335 |                         
336 |                         # 创建爬虫实例
337 |                         crawler = DouyinCommentCrawler(
338 |                             video_url=selected['url'],
339 |                             use_normal_mode=use_normal_mode,
340 |                             login_first=False if not use_normal_mode else input("是否需要在爬取前先登录抖音账号 [y/N]: ").lower() == 'y'
341 |                         )
342 |                         
343 |                         # 执行爬取
344 |                         crawler.start_crawler()
345 |                         
346 |                     except ImportError:
347 |                         print("未找到评论爬虫模块，请确保 douyin_crawler.py 在正确的位置")
348 |                     except Exception as e:
349 |                         print(f"爬取评论时出错: {str(e)}")
350 |             
351 |         # 询问是否继续搜索
352 |         continue_choice = input("\n是否继续搜索? (y/n): ")
353 |         if continue_choice.lower() != 'y':
354 |             break
355 |     
356 |     print("\n感谢使用抖音视频搜索工具！")
357 | 
358 | 
359 | if __name__ == "__main__":
360 |     main() 


--------------------------------------------------------------------------------
/douyin_analysis_results/抖音评论分析器_旧版.py:
--------------------------------------------------------------------------------
  1 | """
  2 | 抖音视频评论爬取与数据可视化分析工具
  3 | 
  4 | 功能：
  5 | 1. 自动爬取指定抖音视频的评论数据
  6 | 2. 将评论数据保存为CSV格式
  7 | 3. 生成评论词云图
  8 | 4. 评论情感分析与地区分布可视化
  9 | 
 10 | 日期: 2024年
 11 | """
 12 | 
 13 | import time
 14 | import json
 15 | import datetime
 16 | import csv
 17 | import os
 18 | import random
 19 | import jieba
 20 | import pandas as pd
 21 | import numpy as np
 22 | from PIL import Image
 23 | import wordcloud
 24 | import matplotlib.pyplot as plt
 25 | from pyecharts import options as opts
 26 | from pyecharts.charts import Pie, Bar, Map, WordCloud as PyechartsWordCloud
 27 | from pyecharts.globals import ThemeType
 28 | from collections import Counter
 29 | from DrissionPage import ChromiumPage
 30 | 
 31 | 
 32 | class DouyinCommentCrawler:
 33 |     """抖音评论爬虫类"""
 34 |     
 35 |     def __init__(self, video_url=None, video_id=None, max_pages=None):
 36 |         """
 37 |         初始化爬虫
 38 |         :param video_url: 视频URL，例如 https://www.douyin.com/video/7353500880198536457
 39 |         :param video_id: 视频ID，如果提供了video_url则可不提供
 40 |         :param max_pages: 最大爬取页数，默认为None表示爬取全部评论
 41 |         """
 42 |         self.video_url = video_url
 43 |         self.video_id = video_id if video_id else self._extract_video_id(video_url)
 44 |         self.max_pages = max_pages
 45 |         self.comments = []
 46 |         self.driver = None
 47 |         self.comment_ids = set()  # 用于去重的评论ID集合
 48 |         
 49 |         # 使用当前日期和时间创建唯一的文件名
 50 |         current_time = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
 51 |         self.output_file = f"douyin_comments_{self.video_id}_{current_time}.csv"
 52 |     
 53 |     def _extract_video_id(self, url):
 54 |         """从URL中提取视频ID"""
 55 |         if not url:
 56 |             raise ValueError("需要提供视频URL或视频ID")
 57 |         return url.split("/")[-1].split("?")[0]
 58 |     
 59 |     def start_crawler(self):
 60 |         """启动爬虫"""
 61 |         print(f"开始爬取视频 {self.video_id} 的评论...")
 62 |         
 63 |         # 创建CSV文件
 64 |         f = open(self.output_file, mode='w', encoding='utf-8-sig', newline='')
 65 |         fieldnames = ['评论ID', '昵称', '地区', '时间', '评论', '点赞数']
 66 |         csv_writer = csv.DictWriter(f, fieldnames=fieldnames)
 67 |         csv_writer.writeheader()
 68 |         
 69 |         try:
 70 |             # 初始化浏览器
 71 |             self.driver = ChromiumPage()
 72 |             # 监听评论数据API
 73 |             self.driver.listen.start('aweme/v1/web/comment/list/')
 74 |             
 75 |             # 访问视频页面
 76 |             if self.video_url:
 77 |                 self.driver.get(self.video_url)
 78 |             else:
 79 |                 self.driver.get(f'https://www.douyin.com/video/{self.video_id}')
 80 |             
 81 |             # 等待页面加载
 82 |             time.sleep(5)
 83 |             
 84 |             # 尝试点击"查看更多评论"按钮（如果存在）
 85 |             try:
 86 |                 more_comment_btn = self.driver.find_element('xpath://div[contains(text(), "查看更多评论")]')
 87 |                 if more_comment_btn:
 88 |                     more_comment_btn.click()
 89 |                     time.sleep(2)
 90 |             except:
 91 |                 print("没有找到"查看更多评论"按钮，继续使用滚动加载评论")
 92 |             
 93 |             # 爬取评论
 94 |             page = 0
 95 |             no_new_comments_count = 0  # 连续没有新评论的次数
 96 |             last_comment_count = 0     # 上一次的评论总数
 97 |             retry_count = 0            # 当前页面重试次数
 98 |             max_retry = 5              # 最大重试次数
 99 |             
100 |             # 如果设置了最大页数，则限制页数；否则一直爬取直到没有更多评论
101 |             while self.max_pages is None or page < self.max_pages:
102 |                 try:
103 |                     page += 1
104 |                     print(f'正在爬取第 {page} 页评论...')
105 |                     
106 |                     # 使用不同的滚动策略
107 |                     if page % 3 == 0:
108 |                         # 精确滚动到评论区
109 |                         try:
110 |                             comment_area = self.driver.find_element('xpath://div[contains(@class, "comment-mainContent")]')
111 |                             if comment_area:
112 |                                 self.driver.scroll.to_element(comment_area, center=True)
113 |                                 time.sleep(1)
114 |                         except:
115 |                             pass
116 |                         
117 |                         # 平滑滚动到底部
118 |                         self.driver.scroll.to_bottom(smooth=True)
119 |                     else:
120 |                         # 先快速滚动一段距离，再滚动到底部
121 |                         self.driver.scroll.down(300)
122 |                         time.sleep(0.5)
123 |                         self.driver.scroll.to_bottom()
124 |                     
125 |                     # 随机等待时间，模拟人工浏览
126 |                     wait_time = 1 + random.random() * 2
127 |                     time.sleep(wait_time)
128 |                     
129 |                     # 等待数据包
130 |                     resp = self.driver.listen.wait(timeout=5)
131 |                     
132 |                     if not resp:
133 |                         print(f"未检测到新的评论数据，尝试继续... (重试 {retry_count+1}/{max_retry})")
134 |                         retry_count += 1
135 |                         
136 |                         if retry_count >= max_retry:
137 |                             no_new_comments_count += 1
138 |                             retry_count = 0
139 |                             
140 |                             if no_new_comments_count >= 3:
141 |                                 print("连续多次未检测到新评论，尝试使用其他方法加载评论")
142 |                                 
143 |                                 # 尝试其他方法触发评论加载
144 |                                 try:
145 |                                     # 尝试点击"展开更多"按钮
146 |                                     expand_btns = self.driver.find_elements('xpath://span[contains(text(), "展开") or contains(text(), "更多")]')
147 |                                     if expand_btns:
148 |                                         for btn in expand_btns[:3]:  # 最多点击前3个
149 |                                             try:
150 |                                                 btn.click()
151 |                                                 time.sleep(1)
152 |                                             except:
153 |                                                 pass
154 |                                 except:
155 |                                     pass
156 |                                 
157 |                                 # 再尝试一次，如果还是失败则认为已到达末页
158 |                                 if no_new_comments_count >= 5:
159 |                                     print("已尝试多种方法但无法加载更多评论，可能已到达末页")
160 |                                     break
161 |                         
162 |                         # 再次尝试不同的滚动方式
163 |                         self.driver.scroll.up(200)
164 |                         time.sleep(1)
165 |                         self.driver.scroll.to_bottom()
166 |                         continue
167 |                     
168 |                     # 重置重试计数器
169 |                     retry_count = 0
170 |                     
171 |                     # 解析JSON数据
172 |                     json_data = resp.response.body
173 |                     
174 |                     if not json_data or 'comments' not in json_data:
175 |                         print(f"未获取到有效评论数据，尝试继续... (尝试 {no_new_comments_count+1}/3)")
176 |                         no_new_comments_count += 1
177 |                         if no_new_comments_count >= 3:
178 |                             print("连续多次未获取到有效评论数据，可能已到达末页")
179 |                             break
180 |                         continue
181 |                     
182 |                     # 提取评论
183 |                     comments = json_data['comments']
184 |                     if not comments:
185 |                         print("本页无评论数据，可能已到达末页")
186 |                         no_new_comments_count += 1
187 |                         if no_new_comments_count >= 3:
188 |                             break
189 |                         continue
190 |                     
191 |                     # 重置无新评论计数器（如果找到了评论）
192 |                     no_new_comments_count = 0
193 |                     
194 |                     # 记录爬取前的评论数和评论ID数
195 |                     comment_count_before = len(self.comments)
196 |                     comment_id_count_before = len(self.comment_ids)
197 |                     
198 |                     # 处理评论数据
199 |                     for comment in comments:
200 |                         try:
201 |                             comment_id = comment.get('cid', '') or str(comment.get('id', ''))
202 |                             
203 |                             # 如果已经处理过这个评论，则跳过
204 |                             if comment_id in self.comment_ids:
205 |                                 continue
206 |                             
207 |                             # 添加到已处理集合
208 |                             self.comment_ids.add(comment_id)
209 |                             
210 |                             nickname = comment['user']['nickname']
211 |                             create_time = comment['create_time']
212 |                             date = str(datetime.datetime.fromtimestamp(create_time))
213 |                             ip_label = comment.get('ip_label', '未知')
214 |                             text = comment['text']
215 |                             digg_count = comment.get('digg_count', 0)  # 点赞数
216 |                             
217 |                             # 创建评论数据字典
218 |                             comment_data = {
219 |                                 '评论ID': comment_id,
220 |                                 '昵称': nickname,
221 |                                 '地区': ip_label,
222 |                                 '时间': date,
223 |                                 '评论': text,
224 |                                 '点赞数': digg_count
225 |                             }
226 |                             
227 |                             # 保存到列表和文件
228 |                             self.comments.append(comment_data)
229 |                             csv_writer.writerow(comment_data)
230 |                             print(f"[{len(self.comments)}] 评论: {text[:30]}... - 来自: {nickname} - {ip_label}")
231 |                             
232 |                         except Exception as e:
233 |                             print(f"处理评论时出错: {str(e)}")
234 |                     
235 |                     # 检查是否有新的评论被添加
236 |                     comment_count_added = len(self.comments) - comment_count_before
237 |                     comment_id_added = len(self.comment_ids) - comment_id_count_before
238 |                     
239 |                     print(f"本次获取了 {comment_count_added} 条新评论，累计 {len(self.comments)} 条")
240 |                     
241 |                     # 如果没有新的评论ID被添加，说明可能需要尝试其他方法或已到达末页
242 |                     if comment_id_added == 0:
243 |                         no_new_comments_count += 1
244 |                         print(f"未获取到新评论ID，尝试继续... (尝试 {no_new_comments_count}/3)")
245 |                         
246 |                         # 尝试点击页面上的"查看更多回复"按钮
247 |                         try:
248 |                             more_reply_btns = self.driver.find_elements('xpath://span[contains(text(), "查看") and contains(text(), "回复")]')
249 |                             if more_reply_btns:
250 |                                 for btn in more_reply_btns[:5]:  # 最多点击前5个
251 |                                     try:
252 |                                         btn.click()
253 |                                         time.sleep(1)
254 |                                     except:
255 |                                         pass
256 |                                 # 点击了按钮后重置计数器，再次尝试
257 |                                 no_new_comments_count = 0
258 |                         except:
259 |                             pass
260 |                         
261 |                         if no_new_comments_count >= 3:
262 |                             print("连续多次未获取到新评论，可能已到达末页")
263 |                             
264 |                             # 最后再尝试一次刷新页面的方法
265 |                             if no_new_comments_count == 3:
266 |                                 print("尝试刷新页面后继续爬取...")
267 |                                 self.driver.refresh()
268 |                                 time.sleep(5)
269 |                                 no_new_comments_count = 2  # 给最后一次机会
270 |                                 continue
271 |                             break
272 |                     else:
273 |                         # 有新评论，重置计数器
274 |                         no_new_comments_count = 0
275 |                     
276 |                 except Exception as e:
277 |                     print(f"爬取第 {page} 页时出错: {str(e)}")
278 |                     no_new_comments_count += 1
279 |                     if no_new_comments_count >= 3:
280 |                         print("连续多次爬取出错，停止爬取")
281 |                         break
282 |             
283 |             print(f"评论爬取完成，共获取 {len(self.comments)} 条评论")
284 |             return self.comments
285 |             
286 |         except Exception as e:
287 |             print(f"爬虫运行出错: {str(e)}")
288 |             return []
289 |         
290 |         finally:
291 |             # 关闭文件和浏览器
292 |             f.close()
293 |             if self.driver:
294 |                 self.driver.quit()
295 |     
296 |     def get_output_file(self):
297 |         """获取输出文件路径"""
298 |         return self.output_file
299 | 
300 | 
301 | class CommentAnalyzer:
302 |     """评论分析与可视化类"""
303 |     
304 |     def __init__(self, csv_file=None, comments=None):
305 |         """
306 |         初始化分析器
307 |         :param csv_file: CSV文件路径
308 |         :param comments: 评论数据列表，如果没有提供CSV文件则使用此数据
309 |         """
310 |         self.csv_file = csv_file
311 |         self.comments = comments
312 |         self.df = None
313 |         self.output_dir = "douyin_analysis_results"
314 |         
315 |         # 创建输出目录
316 |         if not os.path.exists(self.output_dir):
317 |             os.makedirs(self.output_dir)
318 |     
319 |     def find_latest_csv(self, video_id=None):
320 |         """
321 |         查找最新的评论CSV文件
322 |         :param video_id: 可选的视频ID过滤条件
323 |         :return: 最新CSV文件的路径，如果未找到则返回None
324 |         """
325 |         all_csv_files = []
326 |         
327 |         # 搜索当前目录下的所有CSV文件
328 |         for file in os.listdir('.'):
329 |             if file.startswith('douyin_comments_') and file.endswith('.csv'):
330 |                 # 如果指定了视频ID，则只查找该视频的CSV文件
331 |                 if video_id and video_id not in file:
332 |                     continue
333 |                 all_csv_files.append(file)
334 |         
335 |         if not all_csv_files:
336 |             return None
337 |         
338 |         # 按文件修改时间排序，返回最新的文件
339 |         latest_file = max(all_csv_files, key=lambda x: os.path.getmtime(x))
340 |         print(f"找到最新的CSV文件: {latest_file}")
341 |         return latest_file
342 |     
343 |     def load_data(self):
344 |         """加载数据"""
345 |         if self.csv_file and os.path.exists(self.csv_file):
346 |             self.df = pd.read_csv(self.csv_file)
347 |             print(f"从 {self.csv_file} 加载了 {len(self.df)} 条评论")
348 |         elif self.comments:
349 |             self.df = pd.DataFrame(self.comments)
350 |             print(f"从内存加载了 {len(self.df)} 条评论")
351 |         else:
352 |             # 尝试查找最新的CSV文件
353 |             latest_csv = self.find_latest_csv()
354 |             if latest_csv:
355 |                 self.csv_file = latest_csv
356 |                 self.df = pd.read_csv(self.csv_file)
357 |                 print(f"自动从最新文件 {self.csv_file} 加载了 {len(self.df)} 条评论")
358 |             else:
359 |                 raise ValueError("需要提供CSV文件或评论数据")
360 |         
361 |         return self.df
362 |     
363 |     def generate_wordcloud(self, shape_img=None, output_file=None):
364 |         """
365 |         生成词云图
366 |         :param shape_img: 形状图片路径
367 |         :param output_file: 输出文件名
368 |         :return: 输出文件路径
369 |         """
370 |         if self.df is None:
371 |             self.load_data()
372 |         
373 |         # 默认输出文件名
374 |         if not output_file:
375 |             output_file = os.path.join(self.output_dir, "comment_wordcloud.png")
376 |         
377 |         print("正在生成词云图...")
378 |         
379 |         # 合并所有评论
380 |         content = ' '.join([str(i).replace('\n', '') for i in self.df['评论']])
381 |         
382 |         # 结巴分词
383 |         jieba.setLogLevel(20)  # 设置日志级别，避免输出过多日志
384 |         words = jieba.lcut(content)
385 |         string = ' '.join(words)
386 |         
387 |         # 加载形状图片
388 |         mask = None
389 |         if shape_img and os.path.exists(shape_img):
390 |             mask = np.array(Image.open(shape_img))
391 |         
392 |         # 设置停用词
393 |         stopwords = {'了', '的', '我', '你', '是', '都', '把', '能', '就', '这', '还', 
394 |                      '和', '啊', '在', '吧', '有', '也', '不', '呢', '吗', '啥', '怎么',
395 |                      '一个', '什么', '一下', '一样', '一直', '为了', '可以', '那么'}
396 |         
397 |         # 配置词云
398 |         wc = wordcloud.WordCloud(
399 |             font_path='simhei.ttf' if os.path.exists('simhei.ttf') else None,  # 字体文件
400 |             width=1000,  # 宽
401 |             height=700,  # 高
402 |             mask=mask,  # 词云形状
403 |             background_color='white',  # 背景色
404 |             max_words=200,  # 最大词数
405 |             stopwords=stopwords,  # 停用词
406 |             contour_width=1,  # 轮廓宽度
407 |             contour_color='steelblue'  # 轮廓颜色
408 |         )
409 |         
410 |         # 生成词云
411 |         wc.generate(string)
412 |         
413 |         # 保存词云图
414 |         wc.to_file(output_file)
415 |         print(f"词云图已保存至: {output_file}")
416 |         
417 |         return output_file
418 |     
419 |     def analyze_location(self, output_file=None):
420 |         """
421 |         分析评论地区分布
422 |         :param output_file: 输出文件名
423 |         :return: 输出文件路径
424 |         """
425 |         if self.df is None:
426 |             self.load_data()
427 |         
428 |         if not output_file:
429 |             output_file = os.path.join(self.output_dir, "location_analysis.html")
430 |         
431 |         print("正在分析评论地区分布...")
432 |         
433 |         # 统计地区
434 |         location_count = self.df['地区'].value_counts()
435 |         
436 |         # 取前15个地区
437 |         top_locations = location_count.head(15)
438 |         
439 |         # 创建饼图
440 |         pie = (
441 |             Pie(init_opts=opts.InitOpts(theme=ThemeType.LIGHT, width="900px", height="500px"))
442 |             .add(
443 |                 "",
444 |                 [list(z) for z in zip(top_locations.index, top_locations.values)],
445 |                 radius=["30%", "75%"],
446 |                 center=["50%", "50%"],
447 |                 rosetype="radius",
448 |             )
449 |             .set_global_opts(
450 |                 title_opts=opts.TitleOpts(title="评论地区分布"),
451 |                 legend_opts=opts.LegendOpts(orient="vertical", pos_left="5%", pos_top="15%"),
452 |                 toolbox_opts=opts.ToolboxOpts()
453 |             )
454 |             .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c} ({d}%)"))
455 |         )
456 |         
457 |         # 保存图表
458 |         pie.render(output_file)
459 |         print(f"地区分析已保存至: {output_file}")
460 |         
461 |         return output_file
462 |     
463 |     def analyze_time_distribution(self, output_file=None):
464 |         """
465 |         分析评论时间分布
466 |         :param output_file: 输出文件名
467 |         :return: 输出文件路径
468 |         """
469 |         if self.df is None:
470 |             self.load_data()
471 |         
472 |         if not output_file:
473 |             output_file = os.path.join(self.output_dir, "time_analysis.html")
474 |         
475 |         print("正在分析评论时间分布...")
476 |         
477 |         # 转换时间字符串为datetime对象
478 |         self.df['时间'] = pd.to_datetime(self.df['时间'])
479 |         
480 |         # 提取小时
481 |         self.df['小时'] = self.df['时间'].dt.hour
482 |         
483 |         # 统计每小时的评论数
484 |         hour_count = self.df['小时'].value_counts().sort_index()
485 |         
486 |         # 创建条形图
487 |         bar = (
488 |             Bar(init_opts=opts.InitOpts(theme=ThemeType.LIGHT, width="900px", height="500px"))
489 |             .add_xaxis(hour_count.index.tolist())
490 |             .add_yaxis("评论数", hour_count.values.tolist())
491 |             .set_global_opts(
492 |                 title_opts=opts.TitleOpts(title="评论时间分布 (小时)"),
493 |                 xaxis_opts=opts.AxisOpts(name="小时"),
494 |                 yaxis_opts=opts.AxisOpts(name="评论数"),
495 |                 toolbox_opts=opts.ToolboxOpts()
496 |             )
497 |         )
498 |         
499 |         # 保存图表
500 |         bar.render(output_file)
501 |         print(f"时间分析已保存至: {output_file}")
502 |         
503 |         return output_file
504 |     
505 |     def analyze_hot_words(self, top_n=50, output_file=None):
506 |         """
507 |         分析热门词汇
508 |         :param top_n: 热门词数量
509 |         :param output_file: 输出文件名
510 |         :return: 输出文件路径
511 |         """
512 |         if self.df is None:
513 |             self.load_data()
514 |         
515 |         if not output_file:
516 |             output_file = os.path.join(self.output_dir, "hot_words.html")
517 |         
518 |         print(f"正在分析热门词汇 (Top {top_n})...")
519 |         
520 |         # 合并所有评论
521 |         content = ' '.join([str(i).replace('\n', '') for i in self.df['评论']])
522 |         
523 |         # 结巴分词
524 |         jieba.setLogLevel(20)
525 |         words = jieba.lcut(content)
526 |         
527 |         # 过滤停用词
528 |         stopwords = {'了', '的', '我', '你', '是', '都', '把', '能', '就', '这', '还', 
529 |                      '和', '啊', '在', '吧', '有', '也', '不', '呢', '吗', '啥', '怎么',
530 |                      '一个', '什么', '一下', '一样', '一直', '为了', '可以', '那么'}
531 |         filtered_words = [word for word in words if len(word) > 1 and word not in stopwords]
532 |         
533 |         # 统计词频
534 |         word_count = Counter(filtered_words)
535 |         
536 |         # 取前N个高频词
537 |         top_words = word_count.most_common(top_n)
538 |         
539 |         # 创建词云图
540 |         wordcloud_chart = (
541 |             PyechartsWordCloud(init_opts=opts.InitOpts(
542 |                 theme=ThemeType.LIGHT, width="900px", height="500px")
543 |             )
544 |             .add(
545 |                 "",
546 |                 top_words,
547 |                 word_size_range=[20, 100],
548 |                 shape="circle"
549 |             )
550 |             .set_global_opts(
551 |                 title_opts=opts.TitleOpts(title=f"热门词汇 Top {top_n}"),
552 |                 toolbox_opts=opts.ToolboxOpts()
553 |             )
554 |         )
555 |         
556 |         # 保存图表
557 |         wordcloud_chart.render(output_file)
558 |         print(f"热门词汇分析已保存至: {output_file}")
559 |         
560 |         return output_file
561 |     
562 |     def run_all_analysis(self, shape_img=None):
563 |         """
564 |         运行所有分析
565 |         :param shape_img: 词云形状图片
566 |         :return: 所有输出文件的列表
567 |         """
568 |         if self.df is None:
569 |             self.load_data()
570 |         
571 |         outputs = []
572 |         
573 |         # 生成词云
574 |         outputs.append(self.generate_wordcloud(shape_img))
575 |         
576 |         # 地区分析
577 |         outputs.append(self.analyze_location())
578 |         
579 |         # 时间分析
580 |         outputs.append(self.analyze_time_distribution())
581 |         
582 |         # 热词分析
583 |         outputs.append(self.analyze_hot_words())
584 |         
585 |         print(f"所有分析已完成，结果保存在 {self.output_dir} 目录")
586 |         return outputs
587 | 
588 | 
589 | def main():
590 |     """主函数"""
591 |     print("=" * 60)
592 |     print("抖音视频评论爬取与数据可视化分析工具")
593 |     print("=" * 60)
594 |     
595 |     # 询问用户操作类型
596 |     mode = input("请选择操作类型：\n1. 爬取新的评论并分析\n2. 分析已有的CSV文件\n请输入选项编号 (1/2): ")
597 |     
598 |     if mode == "2":
599 |         # 分析现有CSV文件
600 |         print("\n== 分析已有评论数据 ==")
601 |         
602 |         # 初始化分析器 - 会自动查找最新的CSV文件
603 |         analyzer = CommentAnalyzer()
604 |         
605 |         # 设置词云形状图片
606 |         shape_img = input("请输入词云形状图片路径 (留空使用默认形状): ")
607 |         if shape_img and not os.path.exists(shape_img):
608 |             print(f"警告: 图片 {shape_img} 不存在，将使用默认形状")
609 |             shape_img = None
610 |         
611 |         # 执行所有分析
612 |         analyzer.run_all_analysis(shape_img=shape_img)
613 |         
614 |     else:
615 |         # 爬取新的评论数据
616 |         print("\n== 爬取新的评论数据 ==")
617 |         
618 |         # 获取视频URL
619 |         video_url = input("请输入抖音视频URL (例如: https://www.douyin.com/video/7353500880198536457): ")
620 |         
621 |         # 设置最大爬取页数
622 |         try:
623 |             pages_input = input("请输入最大爬取页数 (直接回车表示爬取全部评论): ")
624 |             max_pages = int(pages_input) if pages_input.strip() else None
625 |         except ValueError:
626 |             max_pages = None
627 |         
628 |         if max_pages is None:
629 |             print("将爬取全部评论，直到没有更多评论为止")
630 |         else:
631 |             print(f"将爬取最多 {max_pages} 页评论")
632 |         
633 |         # 设置词云形状图片
634 |         shape_img = input("请输入词云形状图片路径 (留空使用默认形状): ")
635 |         if shape_img and not os.path.exists(shape_img):
636 |             print(f"警告: 图片 {shape_img} 不存在，将使用默认形状")
637 |             shape_img = None
638 |         
639 |         # 创建爬虫实例
640 |         crawler = DouyinCommentCrawler(video_url=video_url, max_pages=max_pages)
641 |         
642 |         # 执行爬取
643 |         comments = crawler.start_crawler()
644 |         
645 |         if comments:
646 |             # 获取输出文件
647 |             csv_file = crawler.get_output_file()
648 |             
649 |             # 创建分析器
650 |             analyzer = CommentAnalyzer(csv_file=csv_file)
651 |             
652 |             # 执行所有分析
653 |             analyzer.run_all_analysis(shape_img=shape_img)
654 |     
655 |     print("程序运行完成!")
656 | 
657 | 
658 | if __name__ == "__main__":
659 |     main() 


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/requirements.txt:
--------------------------------------------------------------------------------
 1 | DrissionPage>=4.0.0
 2 | pandas>=1.0.0
 3 | numpy>=1.18.0
 4 | jieba>=0.42.1
 5 | Pillow>=8.0.0
 6 | wordcloud>=1.8.0
 7 | matplotlib>=3.3.0
 8 | pyecharts>=1.9.0
 9 | scikit-learn>=0.24.0
10 | networkx>=2.5.0 


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