Scalable Collapsed Inference for High-Dimensional Topic Models.
Rashidul IslamJames R. FouldsPublished in: NAACL-HLT (1) (2019)
Keyphrases
- collapsed gibbs sampling
- topic models
- high dimensional
- latent dirichlet allocation
- gibbs sampling
- variational bayesian inference
- variational inference
- topic modeling
- text documents
- approximate inference
- probabilistic model
- generative model
- text mining
- latent variables
- bayesian inference
- probabilistic latent semantic analysis
- latent topic models
- low dimensional
- dimensionality reduction
- co occurrence
- markov chain
- exact inference
- text corpora
- factor graphs
- pitman yor process
- data mining
- hierarchical bayesian model
- belief propagation
- data points
- artificial intelligence