Scalable Inference for Latent Dirichlet Allocation
James PettersonTibério S. CaetanoPublished in: CoRR (2009)
Keyphrases
- latent dirichlet allocation
- gibbs sampling
- collapsed gibbs sampling
- topic models
- variational bayes
- variational bayesian inference
- variational inference
- topic modeling
- generative model
- lda model
- text mining
- topic discovery
- probabilistic latent semantic analysis
- bayesian inference
- latent topics
- probabilistic inference
- bayesian analysis
- word counts
- latent topic model
- generative process
- belief networks
- text documents
- probabilistic model
- latent topic models
- approximate inference
- gaussian process
- parameter estimation
- probabilistic topic models
- markov chain
- hierarchical bayesian model
- bayesian networks
- directed graphical models
- dirichlet process
- bayesian model
- latent variables
- support vector