Paper: A Latent Variable Model for Viewpoint Discovery from Threaded Forum Posts

ACL ID N13-1123
Title A Latent Variable Model for Viewpoint Discovery from Threaded Forum Posts
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2013
Authors

Threaded discussion forums provide an im- portant social media platform. Its rich user generated content has served as an important source of public feedback. To automatically discover the viewpoints or stances on hot is- sues from forum threads is an important and useful task. In this paper, we propose a novel latent variable model for viewpoint discov- ery from threaded forum posts. Our model is a principled generative latent variable model which captures three important factors: view- point specific topic preference, user identity and user interactions. Evaluation results show that our model clearly outperforms a number of baseline models in terms of both clustering posts based on viewpoints and clustering users with different viewpoints.