Sina Weibo, as the most popular Chinese microblogging social network, has huge amounts of information that reflects all aspects of our social life. For discovering the hidden patterns or rules, this paper presents a Sina Weibo oriented data mining system named as Reading-Weibo. The system can conduct an on-line, multi-dimensional (nine dimensions), interactive and dynamic analysis on the transmission of a single microblog. The workflow of Reading-Weibo and its sentiment analysis module, the regional distribution module and propagation tree module are introduced with examples. Finally, we put forward our views on the future work in microblog mining field.
Paper
Full text
Reading-Weibo: A Sina Weibo Oriented Data Mining System
Semantic Scholar · Computer Science · 2015
Abstract
Sina Weibo, as the most popular Chinese microblogging social network, has huge amounts of information that reflects all aspects of our social life. For discovering the hidden patterns or rules, this paper presents a Sina Weibo oriented data mining system named as Reading-Weibo. The system can conduct an on-line, multi-dimensional (nine dimensions), interactive and dynamic analysis on the transmission of a single microblog. The workflow of Reading-Weibo and its sentiment analysis module, the regional distribution module and propagation tree module are introduced with examples. Finally, we put forward our views on the future work in microblog mining field.