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

DOI10.1007/s10994-010-5197-4zbMath1470.68100OpenAlexW2170658740MaRDI QIDQ1959603

Huidong Jin, Wray Buntine, Lan Du

Publication date: 7 October 2010

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-010-5197-4

zbMATH Keywords

latent Dirichlet allocationtwo-parameter Poisson-Dirichlet processdocument structuresegmented topic model

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Special processes (60K99) Natural language processing (68T50)

Related Items (2)

Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes ⋮ Hierarchical species sampling models

Uses Software

• RCV1

Cites Work

• The two-parameter Poisson-Dirichlet distribution derived from a stable subordinator
• Hierarchical Dirichlet Processes
• 10.1162/jmlr.2003.3.4-5.993
• Gibbs Sampling Methods for Stick-Breaking Priors

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