What Have Been Learned & What Should Be Learned? An Empirical Study of How to Selectively Augment Text for Classification.
Biyang GuoSongqiao HanHailiang HuangPublished in: CoRR (2021)
Keyphrases
- information retrieval
- pattern classification
- feature selection
- image classification
- learning phase
- decision rules
- support vector
- pattern recognition
- classification accuracy
- training set
- text retrieval
- classification method
- supervised machine learning
- support vector machine svm
- data sets
- feature extraction
- decision trees
- machine learning
- data mining
- supervised learning
- document categorization
- polarity classification
- class specific
- classification models
- class labels
- feature space
- neural network