Estimating Sentiment via Probability and Information Theory.
Kevin LabilleSultan AlfarhoodSusan GauchPublished in: KDIR (2016)
Keyphrases
- information theory
- conditional entropy
- information theoretic
- statistical learning
- jensen shannon divergence
- statistical mechanics
- sentiment analysis
- probability distribution
- mutual information
- opinion mining
- computer vision
- mdl principle
- sentiment classification
- kullback leibler divergence
- relative entropy
- image quality
- shannon entropy