Dirichlet Mixture Allocation For Multiclass Document Collections Modeling

Publisher:
IEEE
Publication Type:
Conference Proceeding
Citation:
2009 9th IEEE International Conference On Data Mining, 2009, 0 pp. 711 - 715
Issue Date:
2009-01
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Topic model, Latent Dirichlet Allocation (LDA), is an effective tool for statistical analysis of large collections of documents. In LDA, each document is modeled as a mixture of topics and the topic proportions are generated from the unimodal Dirichlet d
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