Joint Naïve Bayes and LDA for Unsupervised Sentiment Analysis.
Yong ZhangDong-Hong JiYing SuHongmiao WuPublished in: PAKDD (1) (2013)
Keyphrases
- sentiment analysis
- bayes classifiers
- tree augmented
- topic modeling
- text classification
- bayes classifier
- naive bayes classifier
- bayesian classifiers
- opinion mining
- bayesian networks
- bayesian network classifiers
- sentiment classification
- latent dirichlet allocation
- text mining
- naive bayes
- topic models
- linear discriminant analysis
- bayes net
- sentence level
- unsupervised learning
- supervised classification
- bayesian classifier
- online reviews
- decision trees
- feature selection
- multi aspect
- rule learner
- inductive logic programming
- text categorization
- product reviews
- principal component analysis
- natural language processing
- product features
- support vector machine
- novelty detection
- user generated
- sentiment lexicon
- dimensionality reduction
- supervised learning
- bayes classification
- information retrieval
- positive or negative
- weakly supervised
- generative model
- probabilistic model
- artificial intelligence