Feature Selection and Reduction Based on SMOTE and Information Gain for Sentiment Mining.
Patcharanikarn PongthanooWararat SongpanPublished in: ICCCS (2020)
Keyphrases
- information gain
- feature selection
- text categorization
- decision trees
- mutual information
- chi squared
- chi square
- imbalanced data
- knowledge discovery
- naive bayes
- feature subset
- support vector
- class imbalance
- occurrence frequency
- correlation coefficient
- text mining
- class distribution
- knn
- text classification
- pattern mining
- feature space
- data mining
- occurrence probabilities
- imbalanced datasets
- sequential patterns
- feature set
- multi class
- support vector machine
- artificial neural networks
- feature extraction
- machine learning