Concurrent Inference of Topic Models and Distributed Vector Representations.
Debakar ShamantaSheikh Motahar NaimParang SarafNaren RamakrishnanMahmud Shahriar HossainPublished in: ECML/PKDD (2) (2015)
Keyphrases
- topic models
- gibbs sampling
- latent dirichlet allocation
- collapsed gibbs sampling
- variational inference
- topic modeling
- text documents
- generative model
- latent topics
- probabilistic model
- probabilistic topic models
- co occurrence
- pitman yor process
- latent topic models
- bayesian inference
- latent variables
- generative process
- text mining
- bayesian networks
- variational bayesian inference
- text corpora
- vector space
- visual recognition
- probabilistic inference
- probabilistic latent semantic analysis
- image classification
- graphical models