Inference in Supervised latent Dirichlet allocation.
Balaji LakshminarayananRaviv RaichPublished in: MLSP (2011)
Keyphrases
- latent dirichlet allocation
- gibbs sampling
- collapsed gibbs sampling
- topic models
- variational bayes
- variational inference
- variational bayesian inference
- generative model
- topic modeling
- lda model
- text mining
- topic discovery
- semi supervised
- probabilistic inference
- bayesian inference
- probabilistic latent semantic analysis
- probabilistic topic models
- learning algorithm
- dirichlet process
- latent topics
- generative process
- bayesian analysis
- exact inference
- em algorithm
- pairwise
- machine learning
- approximate inference
- supervised learning
- unsupervised learning
- probabilistic model
- markov chain monte carlo
- text documents
- feature extraction
- latent topic models