Bayesian feature selection for sparse topic model.
Ying-Lan ChangKuen-Feng LeeJen-Tzung ChienPublished in: MLSP (2011)
Keyphrases
- topic models
- feature selection
- latent dirichlet allocation
- variational inference
- topic modeling
- text documents
- generative model
- text categorization
- bayesian inference
- probabilistic model
- text mining
- baseline models
- latent variables
- co occurrence
- gibbs sampling
- text classification
- posterior distribution
- support vector
- posterior probability
- high dimensional
- machine learning
- latent topics
- feature set
- dimensionality reduction
- multi class
- bayesian networks
- maximum likelihood
- latent factors
- probabilistic topic models
- data mining
- latent topic model
- support vector machine