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Latent Dirichlet Allocation - Journal of Machine Learning ...

Journal of Machine Learning Research 3 (2003) 993-1022 Submitted 2/02; Published 1/03 Latent Dirichlet AllocationDavid M. Science DivisionUniversity of CaliforniaBerkeley, CA 94720, USAA ndrew Y. Science DepartmentStanford UniversityStanford, CA 94305, USAM ichael I. Science Division and Department of StatisticsUniversity of CaliforniaBerkeley, CA 94720, USAE ditor:John LaffertyAbstractWe describelatent Dirichlet Allocation (LDA), a generative probabilistic model for collections ofdiscrete data such as text corpora. LDA is a three-level hierarchical bayesian model, in which eachitem of a collection is modeled as a finite mixture over an underlying set of topics.

discrete data such as text corpora. LDA is a three-level hierarchical Bayesian model, in which each item of a collection is modeled as a finite mixture over an underlying set of topics. Each topic is, in turn, modeled as an infinite mixture over …

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  Talent, Allocation, Hierarchical, Bayesian, Latent dirichlet allocation, Dirichlet, Bayesian hierarchical

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