Word Features for Latent Dirichlet Allocation

NeurIPS 2010 James PettersonWray BuntineShravan M. NarayanamurthyTibério S. CaetanoAlex J. Smola

We extend Latent Dirichlet Allocation (LDA) by explicitly allowing for the encoding of side information in the distribution over words. This results in a variety of new capabilities, such as improved estimates for infrequently occurring words, as well as the ability to leverage thesauri and dictionaries in order to boost topic cohesion within and across languages... (read more)

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