Measuring Topic Coherence through Optimal Word Buckets

EACL 2017 Nitin RamrakhiyaniSachin PawarSwapnil HingmireGirish Palshikar

Measuring topic quality is essential for scoring the learned topics and their subsequent use in Information Retrieval and Text classification. To measure quality of Latent Dirichlet Allocation (LDA) based topics learned from text, we propose a novel approach based on grouping of topic words into buckets (TBuckets)... (read more)

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