Exploring Feature Definition and Selection for Sentiment Classifiers.
Yelena MejovaPadmini SrinivasanPublished in: ICWSM (2011)
Keyphrases
- feature set
- training data
- sequential forward selection
- sentiment analysis
- support vector
- selection scheme
- decision trees
- feature weights
- test set
- svm classifier
- supervised classification
- feature values
- naive bayes
- selection criterion
- feature selection
- weak classifiers
- opinion mining
- sentiment classification
- extracted features
- selection algorithm
- positive and negative
- image features
- neural network
- training samples
- machine learning methods
- data sets
- roc curve
- classification method
- ensemble learning
- classification systems
- multiple features
- classification models
- information extraction
- ensemble classifier
- feature vectors
- bayesian networks
- feature ranking
- feature extraction
- machine learning