emnlp emnlp2011 emnlp2011-21 emnlp2011-21-reference knowledge-graph by maker-knowledge-mining
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Author: David Mimno ; David Blei
Abstract: Real document collections do not fit the independence assumptions asserted by most statistical topic models, but how badly do they violate them? We present a Bayesian method for measuring how well a topic model fits a corpus. Our approach is based on posterior predictive checking, a method for diagnosing Bayesian models in user-defined ways. Our method can identify where a topic model fits the data, where it falls short, and in which directions it might be improved.
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