Unsupervised sentiment analysis with a simple and fast Bayesian model using Part-of-Speech feature selection.
Christian ScheibleHinrich SchützePublished in: KONVENS (2012)
Keyphrases
- sentiment analysis
- bayesian model
- part of speech
- text classification
- feature selection
- pos tagging
- natural language processing
- n gram
- sentiment classification
- sentence level
- text documents
- unsupervised learning
- posterior distribution
- text categorization
- text mining
- machine learning
- conditional probabilities
- bayesian inference
- feature space
- topic modeling
- em algorithm
- language model
- word sense disambiguation
- active learning
- training data
- feature extraction
- information retrieval