document: Social and semantics analysis via non-negative matrix factorization 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 .
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