Nonparametric Bayesian Topic Modelling with Auxiliary Data

Kar Wai Lim
The intent of this dissertation in computer science is to study topic models for text analytics. The first objective of this dissertation is to incorporate auxiliary information present in text corpora to improve topic modelling for natural language processing (NLP) applications. The second objective of this dissertation is to extend existing topic models to employ state-of-the-art nonparametric Bayesian techniques for better modelling of text data. In particular, this dissertation focusses on: - incorporating hashtags, mentions,...
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.