Conference Proceedings
On-line trend analysis with topic models: Twitter trends detection topic model online
JH Lau, N Collier, T Baldwin
24th International Conference on Computational Linguistics Proceedings of Coling 2012 Technical Papers | Published : 2012
Abstract
We present a novel topic modelling-based methodology to track emerging events in microblogs such as Twitter. Our topic model has an in-built update mechanism based on time slices and implements a dynamic vocabulary. We first show that the method is robust in detecting events using a range of datasets with injected novel events, and then demonstrate its application in identifying trending topics in Twitter. © 2012 The COLING.