Adapting Topic Models using Lexical Associations with Tree Priors.
Weiwei YangJordan L. Boyd-GraberPhilip ResnikPublished in: EMNLP (2017)
Keyphrases
- topic models
- topic modeling
- latent dirichlet allocation
- hierarchical bayesian model
- latent variables
- latent topics
- probabilistic model
- generative model
- text mining
- latent topic models
- text documents
- gibbs sampling
- probabilistic topic models
- variational inference
- natural language processing
- association rules
- semantic relations
- co occurrence
- machine learning
- databases
- probabilistic latent semantic analysis
- pitman yor process
- relevance model
- visual recognition
- word sense disambiguation
- semi supervised
- information retrieval
- data mining