SUIT: A Supervised User-Item Based Topic Model for Sentiment Analysis.
Fangtao LiSheng WangShenghua LiuMing ZhangPublished in: AAAI (2014)
Keyphrases
- sentiment analysis
- topic models
- text mining
- topic modeling
- opinion mining
- sentiment classification
- weakly supervised
- collaborative filtering
- latent dirichlet allocation
- text classification
- recommender systems
- sentence level
- natural language processing
- latent variables
- probabilistic model
- gibbs sampling
- product reviews
- generative model
- user ratings
- real world
- semi supervised
- feature selection
- learning algorithm
- user interaction
- supervised learning
- information extraction
- knowledge discovery
- artificial intelligence
- relevance model
- information retrieval
- machine learning
- prior knowledge
- latent topics
- databases
- sentiment lexicon