On Smoothing and Inference for Topic Models.
Arthur U. AsuncionMax WellingPadhraic SmythYee Whye TehPublished in: UAI (2009)
Keyphrases
- topic models
- pitman yor process
- gibbs sampling
- collapsed gibbs sampling
- variational inference
- latent dirichlet allocation
- topic modeling
- generative model
- latent variables
- variational bayesian inference
- text documents
- co occurrence
- latent topic models
- latent topics
- text mining
- bayesian inference
- probabilistic model
- generative process
- probabilistic inference
- language modeling framework
- belief networks
- text corpora
- relevance model
- mixture model
- bayesian nonparametric
- bayesian networks
- gaussian process
- probabilistic latent semantic analysis
- exact inference
- databases
- graphical models
- information retrieval