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What is Biterm Topic Model for Short Texts about?

This document proposes a Biterm Topic Model (BTM) for analyzing short texts. BTM directly models word co-occurrence patterns through biterms instead of full documents to address data sparsity issues in short texts under conventional topic models. Experiments on tweet, question, and newsgroup collections show BTM can uncover more coherent topics and better predict document classes than LDA. BTM provides an effective and general approach for topic modeling of short texts by fully exploiting global word co-occ

Author

saegtk

Language

EN