Gibbs Collapsed Sampling for Latent Dirichlet Allocation on Spark.
Zhuolin QiuBin WuBai WangLe YuPublished in: BigMine (2014)
Keyphrases
- latent dirichlet allocation
- collapsed gibbs sampling
- markov chain monte carlo
- gibbs sampling
- topic models
- generative model
- approximate inference
- variational bayesian inference
- topic modeling
- monte carlo
- posterior distribution
- variational inference
- sampling algorithm
- lda model
- parameter estimation
- topic discovery
- probabilistic latent semantic analysis
- probabilistic model
- posterior probability
- latent variables
- text mining
- dimensionality reduction
- markov random field
- sampling methods
- sample size
- graphical models
- latent topics
- hierarchical bayesian model
- markov chain
- random sampling
- particle filtering
- data analysis
- bayesian inference
- probability distribution
- latent topic models
- text documents
- gaussian process
- maximum a posteriori
- exponential family
- co occurrence
- information extraction