A Latent Concept Topic Model for Robust Topic Inference Using Word Embeddings.
Weihua HuJun'ichi TsujiiPublished in: ACL (2) (2016)
Keyphrases
- topic models
- latent topics
- latent dirichlet allocation
- dirichlet process
- latent variables
- gibbs sampling
- topic modeling
- variational inference
- collapsed gibbs sampling
- generative process
- co occurrence
- latent topic model
- topic discovery
- probabilistic topic models
- variational bayesian inference
- latent topic models
- lda model
- text documents
- text mining
- generative model
- word pairs
- statistical topic models
- probabilistic model
- concept space
- text corpora
- probabilistic latent semantic analysis
- pitman yor process
- author topic model
- vector space
- supervised topic models
- information extraction
- dimensionality reduction
- microblog posts
- bayesian inference
- latent factors
- bag of words
- bayesian nonparametric
- machine learning
- posterior distribution
- text streams