Coherence Regularization for Neural Topic Models.
Katsiaryna KrasnashchokAymen CherifPublished in: ISNN (1) (2019)
Keyphrases
- topic models
- latent dirichlet allocation
- topic modeling
- text documents
- probabilistic model
- latent topics
- text mining
- gibbs sampling
- co occurrence
- generative model
- latent topic models
- latent variables
- multi class
- training data
- relevance model
- text corpora
- probabilistic latent semantic analysis
- maximum likelihood
- support vector machine
- support vector
- image segmentation
- learning algorithm
- hierarchical bayesian model
- data mining