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bilibili-spyder

通过av号爬取B站视频评论，分析点赞量与等级的关系，评论词云

源数据获取；

数据源为B站视频评论 在加载新的一页评论时观察到访问的url

https://api.bilibili.com/x/v2/reply/main?callback=jQuery172020167562580015508_1653393655707&jsonp=jsonp&next=4&type=1&oid=768584323&mode=3&plat=1&_=1653396013955 其中 next:页数 oid:视频av号 访问时带上head可以获得评论的json文件

评论json数据结构

N4oqN.png

过程

使用的库：requests，jieba，re，pandas，matplotlib，json，csv

  1. ·from_bilibili_get_json.py·—获取评论json
  2. ·like_level.py·---根据json得到不同等级用户的被点赞量并绘制柱状图
  3. ·dejson.py·—收集所有评论到comment.txt
  4. ·词频.py·-词频分析
  5. ·keshijua.py·—可视化

Results show

点赞量与等级的关系 N4qrC.png 评论词频 N45QL.png 评论词云 N4BCi.png

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