[ACM Press the 2004 ACM SIGKDD internati
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Steyvers, Mark; Smyth, Padhraic; Rosen-Zvi, Michal; Griffiths, Thomas
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Article
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2004
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ACM Press
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We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic process. Each author is represented by a probability distribution over topics, and each topic is represented as a probabilit