Online Topic Modeling for Real-Time Twitter Search

This paper discusses the work done by a team at the University of Florida for the TREC 2011 Microblog Track. To build a real-time microblog search engine we rely on topic modeling for our search. To facilicate our algorithms we bundle similar tweets together in what we call supertweet generation. We perform online inference and offline inference depending on the time frame of the topical query. In this paper we discuss our techniques, challenges, future work, but not the evaluation of our results. We offer this notebook entry to invite future discussion and collaboration.