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A segmented topic model based on the two-parameter Poisson-Dirichlet process

Du, Lan; Buntine, Wray; Jin, Huidong (Warren)


Documents come naturally with structure: a section contains paragraphs which itself contains sentences; a blog page contains a sequence of comments and links to related blogs. Structure, of course, implies something about shared topics. In this paper we take the simplest form of structure, a document consisting of multiple segments, as the basis for a new form of topic model. To make this computationally feasible, and to allow the form of collapsed Gibbs sampling that has worked well to date...[Show more]

CollectionsANU Research Publications
Date published: 2010
Type: Journal article
Source: Machine Learning
DOI: 10.1007/s10994-010-5197-4


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