Data Acquisition, Hot Issues and System of Microblog Mining
Bin Liu, Jingyuan Zhang, Qiang Liu, Han Li, Mingliang Zhang, Rui Qiu, Jingyang Zhao · 2015
As an important social information interchange platform, micro blogging has accumulated a large amount of immediacy, rich semantics, and various forms of user generated content (UGC). How to efficiently and accurately discover useful knowledge from the UGC is what micro blog mining focuses on. This article introduce two methods for acquiring micro blog data: micro blogging open application program interface (API) and web crawler. The hot issues are classified into two categories: micro blog user analysis (e.g., user classification and user's behavior analysis) and micro blog content analysis (e.g., text pre-processing, hot topic discovering and sentiment analysis), finally, we propose our self-developed micro blog mining system: Reading-Weibo, which provides real-time, interaction, dynamic and multidimensional service.