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Joint Behavior-Topic Model for Microblogs
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
We propose an LDA-based behavior-topic model (B-LDA) which jointly models user topic interests and behavioral patterns. We focus the study of the model on on-line social network settings such as microblogs like Twitter where the textual content is relatively short but user interactions on them are rich.
Related Publication: Qiu, M., Zhu, F., & Jiang, J. (2013). It is not just what we say, but how we say them: LDA-based behavior-topic model. In 2013 SIAM International Conference on Data Mining (SDM’13): 2-4 May, Austin, Texas (pp. 794-802). Philadelphia: SIAM. http://dx.doi.org/10.1137/1.9781611972832.88