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Improving LDA Topic Models for Microblogs via Tweet Pooling and Automatic Labeling

Mehrotra, Rishabh; Sanner, Scott; Buntine, Wray; Xie, Lexing


Twitter, or the world of 140 characters poses serious challenges to the efficacy of topic models on short, messy text. While topic models such as Latent Dirichlet Allocation (LDA) have a long history of successful application to news articles and academic

CollectionsANU Research Publications
Date published: 2013
Type: Conference paper
DOI: 10.1145/2484028.2484166


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