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Latent Dirichlet Allocation

JournalofMachineLearningResearch3 CA94720,USAA ndrewY. UniversityStanford, CA94305,USAM ichaelI. CA94720,USAE ditor:JohnLaffertyAbstractWe describelatentDirichletallocation(LDA),a generative is a three-level hierarchicalBayesianmodel,inwhicheachite mofa collectionis modeledasa finitemixtureover ,inturn, ,thetopicprobabilitiesprovideanexplicitr epresentationofa reportresultsindocumentmodeling,textclas sification,andcollaborative filtering,comparingtoa collectionthatenableefficientprocessingo flargecollectionswhilepreservingtheessen tialstatisticalrelationshipsthatareusefu lforbasictaskssuchasclassification,novel tydetection,summarization, (IR)(Baeza-YatesandRibeiro-Neto,1999).

et al., 1990). LSI uses a singular value decomposition of the X matrix to identify a linear subspace in the space of tf-idf features that captures most of the variance in the collection. This approach can achieve significant compression in large collections. Furthermore, Deerwester et al. …

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