Event Detection via LDA for the MediaEval2012 SED Task.
Konstantinos N. Vavliakis, Fani A. Tzima, Pericles A. Mitkas · 2012
In this paper we present our methodology for the Social Event Detection Task of the MediaEval 2012 Benchmarking Initiative. We adopt topic discovery using Latent Dirichlet Allocation (LDA), city classification using TF-IDF analysis, and other statistical and natural language processing methods. After describing the approach we employed, we present the corresponding results, and discuss the problems we faced, as well as the conclusions we drew.