Manifold Preserving Hierarchical Topic Models for Quantization and Approximation.
Minje KimParis SmaragdisPublished in: ICML (3) (2013)
Keyphrases
- topic models
- pitman yor process
- latent dirichlet allocation
- topic modeling
- generative model
- text mining
- co occurrence
- latent topics
- probabilistic model
- latent topic models
- latent variables
- text documents
- gibbs sampling
- manifold learning
- text corpora
- hierarchical bayesian model
- closed form
- high dimensional
- feature selection
- feature space
- variational inference
- probabilistic topic models
- support vector
- data mining
- language model
- hierarchical bayesian
- information retrieval