Stochastic collapsed variational Bayesian inference for latent Dirichlet allocation.
James R. FouldsLevi BoylesChristopher DuBoisPadhraic SmythMax WellingPublished in: KDD (2013)
Keyphrases
- collapsed gibbs sampling
- variational bayesian inference
- latent dirichlet allocation
- topic models
- gibbs sampling
- variational inference
- topic modeling
- approximate inference
- generative model
- text mining
- bayesian analysis
- lda model
- probabilistic topic models
- latent topics
- markov chain
- bayesian inference
- probabilistic model
- monte carlo
- belief networks
- latent variables