Minghui, QIU ZHU, Feida JIANG, Jing Joint Behavior-Topic Model for Microblogs <p>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.</p><p>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 <em>2013 SIAM International Conference on Data Mining (SDM’13): 2-4 May, Austin, Texas (pp. </em>794-802). Philadelphia: SIAM. http://doi.org/10.1137/1.9781611972832.88</p> topic model;LDA;social media;microblog;Conceptual Modelling;Pattern Recognition and Data Mining 2013-01-01
    https://researchdata.smu.edu.sg/articles/dataset/Joint_Behavior-Topic_Model_for_Microblogs/12062724
10.25440/smu.12062724.v1