.jpg)
Poster
Track: Posters
Paper Title:
Social and Semantics Analysis Via Non-negative Matrix Factorization
Authors:
- Zhi-li Wu(Hong Kong Baptist University)
- Chi-Wa Cheng(Hong Kong Baptist University)
- Chun-hung Li(Hong Kong Baptist University)
Abstract:
Social media such as Web forum often have dense interactions between
user and content where network models are often appropriate for
analysis. Joint non-negative matrix factorization model of
participation and content data can be viewed as a bipartite graph
model between users and media and is proposed for analysis social
media. The factorizations allow simultaneous automatic discovery of
leaders and sub-communities in the Web forum as well as the core
latent topics in the forum. Results on topic detection of Web forums
and cluster analysis show that social features are highly effective
for forum analysis.
Inquiries can be sent to:
