What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations

Abstract

This paper presents an unsupervised framework for jointly modeling topic content and discourse behavior in microblog conversations. Concretely, we propose a neural model to discover word clusters indicating what a conversation concerns (i.e., topics) and those reflecting how participants voice their opinions (i.e., discourse). 1 Our data sets and code are available at: http://github.com/zengjichuan/Topic_Disc .