Bayesian Joint Optimization for Topic Model and Clustering.
Tikara HosinoPublished in: ICANN (1) (2010)
Keyphrases
- topic models
- joint optimization
- topic discovery
- latent dirichlet allocation
- topic modeling
- variational inference
- latent variables
- probabilistic latent semantic analysis
- clustering algorithm
- text documents
- text mining
- generative model
- sparse representation
- gibbs sampling
- bayesian inference
- posterior distribution
- latent topics
- probabilistic model
- bayesian networks
- co occurrence
- k means
- probabilistic topic models
- maximum likelihood
- lda model
- machine learning
- latent topic model