Original paper

Latent dirichlet allocation

Volume: 3, Pages: 993 - 1022
Published: Mar 1, 2003
Abstract
We describe latent Dirichlet allocation (LDA), a generative probabilistic model for collections of 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 an underlying set of topic probabilities. In the context of text modeling, the topic probabilities...
Paper Details
Title
Latent dirichlet allocation
Published Date
Mar 1, 2003
Volume
3
Pages
993 - 1022
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.