Scalable Moment-Based Inference for Latent Dirichlet Allocation.
Chi WangXueqing LiuYanglei SongJiawei HanPublished in: ECML/PKDD (3) (2014)
Keyphrases
- data mining
- latent dirichlet allocation
- gibbs sampling
- collapsed gibbs sampling
- topic models
- variational bayesian inference
- variational bayes
- variational inference
- text mining
- generative model
- topic modeling
- topic discovery
- lda model
- latent topics
- bayesian inference
- knowledge discovery
- bayesian analysis
- generative process
- approximate inference
- probabilistic latent semantic analysis
- dirichlet process
- latent topic models
- markov chain
- probabilistic model
- directed graphical models
- probabilistic graphical models
- hierarchical bayesian model
- variational methods
- probabilistic inference
- graphical models
- bayesian networks