Inferring Sentiment-Based Priors in Topic Models.
Elena TutubalinaSergey I. NikolenkoPublished in: MICAI (2) (2015)
Keyphrases
- topic models
- hierarchical bayesian model
- topic modeling
- latent dirichlet allocation
- generative model
- text mining
- text documents
- bayesian framework
- latent topics
- variational inference
- probabilistic model
- dirichlet process
- probabilistic topic models
- co occurrence
- latent topic models
- prior information
- prior knowledge
- latent variables
- maximum a posteriori
- text corpora
- gibbs sampling
- hierarchical bayesian
- artificial intelligence
- natural language processing
- training data
- image segmentation