A fast and scalable supervised topic model using stochastic variational inference and MapReduce.
Wenzhuo SongBo YangXuehua ZhaoFei LiPublished in: IC-NIDC (2016)
Keyphrases
- variational inference
- topic models
- latent dirichlet allocation
- topic modeling
- probabilistic model
- bayesian inference
- bayesian nonparametric
- generative model
- text mining
- probabilistic graphical models
- latent topics
- hierarchical dirichlet process
- unsupervised learning
- dirichlet process
- mixture model
- semi supervised
- variational methods
- learning algorithm
- gaussian process
- graphical models
- supervised learning
- latent variables
- co occurrence
- posterior distribution
- closed form
- lda model
- machine learning