On Smoothing and Inference for Topic Models
Arthur U. AsuncionMax WellingPadhraic SmythYee Whye TehPublished in: CoRR (2012)
Keyphrases
- topic models
- pitman yor process
- gibbs sampling
- variational inference
- collapsed gibbs sampling
- latent dirichlet allocation
- topic modeling
- generative model
- text documents
- latent variables
- latent topics
- variational bayesian inference
- text mining
- language modeling framework
- generative process
- probabilistic model
- lda model
- bayesian inference
- bayesian nonparametric
- bayesian networks
- probabilistic inference
- co occurrence
- association rules
- probabilistic topic models
- mixture model
- active learning
- author topic model