Adaptive On-line Topic Evolution Model of Internet Public Opinion for BBS
Yang Chun-min · Jisuanji gongcheng · 2014
Aiming at the problem of topic number dynamic change in the process of on-line topic evolution for Bulletin Board System(BBS),a new adaptive on-line topic evolution model based on Latent Dirichlet Allocation(LDA) is proposed. This model uses the posterior of topic and word distribution in historical time window to adjust the prior of current by linear weighted, which is able to find new topic and vanished topic in text stream and automatically update topic number and represent their evolution in time and content. Experimental result shows that the proposed model can identify the new topic well and analyze their evolution in time and content, and the hot spots can be discovered in time.