Joint Behavior-Topic Model for Microblogs

Authors

Minghui QIU, Singapore Management UniversityFollow
Feida ZHU, Singapore Management UniversityFollow
Jing JIANG, Singapore Management UniversityFollow

Publication Type

Data Set

Year

2013

Research Area

Data Management and Analytics

School/Department

School of Information Systems

Description/Abstract

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

Disciplines

Computer Sciences | Databases and Information Systems | Social Media

Citation

Qiu, M., Zhu, F., & Jiang, J. (2013). Joint Behavior-Topic Model for Microblogs. Available in Github: https://github.com/minghui/BLDA

Copyright

Copyright 2013 Qiu, M., Zhu, F., & Jiang, J.