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SocialLDA:Scalable Topic Modeling in Social Networks
Topical categorization of blogs, documents or other objects that can be tagged with text, improves the experience for end users. Latent Dirichlet allocation (LDA) is a well studied algorithm that discovers latent topics from a corpus of documents so that the documents can then be assigned automatically into appropriate topics. ...
Adaptive Probabilistic Topic Models for Social Networks
Online social networks such as Twitter, LinkedIn, and Facebook generate tremendous amount of text and social interaction data. On one hand, the increasing amount of available information has motivated computational research in social network analysis to understand social structures. On the other hand, annotating, retrieving, ...