A Unified Topic-Style Model for Online Discussions
Ying Ding, Jing Jiang, Qiming Diao · 2014
Forums have become major places for online communications for many years, where people often share and express opinions. We observe that, when editing posts, while some people seriously state their opinions, there are also many peo-ple playing jokes and writing meaningless posts on the discussed topics. We design a unified probabilistic graphical model to capture both topic-driven words and style-driven words. The model can help us sepa-rate serious and unserious posts/users and identify slang words. An extensive set of experiments demonstrates the effective-ness of our model. 1