Managing sparsity, time, and quality of inference in topic models
Khoat ThanTu Bao HoPublished in: CoRR (2012)
Keyphrases
- topic models
- gibbs sampling
- topic modeling
- latent dirichlet allocation
- variational inference
- collapsed gibbs sampling
- text documents
- latent variables
- text mining
- co occurrence
- databases
- hierarchical bayesian
- latent topics
- latent topic models
- bayesian networks
- generative model
- probabilistic inference
- text corpora
- generative process
- bayesian nonparametric
- variational bayesian inference
- markov chain
- probabilistic model
- prior knowledge
- machine learning