GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Document clustering based on non-negative matrix factorization
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Social Computing and Weighting to Identify Member Roles in Online Communities
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
Increasing participation in online communities: A framework for human-computer interaction
Computers in Human Behavior
Automatic scoring of online discussion posts
Proceedings of the 2nd ACM workshop on Information credibility on the web
Bursty topics extraction for web forums
Proceedings of the eleventh international workshop on Web information and data management
Hot Topic Detection on BBS Using Aging Theory
WISM '09 Proceedings of the International Conference on Web Information Systems and Mining
Supervised input space scaling for non-negative matrix factorization
Signal Processing
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While topic detection based on document corpus has gained significant advances in recent years, the analysis of online discussion is often limited by its terseness and conversational style of writing. Using non-negative matrix factorization, user participation models can be developed to help us gain insights on the latent base topics of online discussions. Furthermore, the factorizations allows an automatic discovery of leaders and sub-communities in the online forum. Results on topic detection in online forum as well as the clustering results of several online forums are given.