基于新浪微博大数据的新疆伽师6.4级地震舆情分析及可视化研究

基于新浪微博大数据,运用网络爬虫技术,获取新疆伽师6.4级地震后48小时新浪微博相关的博文和评论;通过对数据的去噪、去重、分词、索引等处理,得到结构化的分级、分类数据;在此基础上,产出震后微博舆情声量走势图、震后微博舆情情感值极性分布图、震后微博舆情热词词频统计表、博文和评论词云图以及博文和评论内容分类统计图,实现微博舆情数据的可视化。

PUBLIC OPINION ANALYSIS AND VISUALIZATION OF XINJIANG JIASHI M S6.4 EARTHQUAKE BASED ON SINA WEIBO BIG DATA

Based on the big data of sina Weibo,using the technology of web crawler,we can get the related blog posts and comments of sina Weibo 48 hours after the Jiashi M S6.4 earthquake.Through the processing of data de-noising,de-duplication,word segmentation and index,the structured classification and classification data are qualified.On this basis,the trend chart of post earthquake microblog public opinion volume,the polar distribution chart of post earthquake Weibo public opinion sentiment value,the statistical table of post earthquake Weibo public opinion hot words frequency,the cloud chart of blog and comment words and the classified statistical chart of blog and comment content are produced to realize the visualization of Weibo public opinion data.