SETAR: Stacking Ensemble Learning for Thai Sentiment Analysis Using RoBERTa and Hybrid Feature Representation.
Pree ThiengburanathumPhasit CharoenkwanPublished in: IEEE Access (2023)
Keyphrases
- ensemble learning
- sentiment analysis
- feature representation
- sentiment classification
- feature extraction
- random forest
- ensemble methods
- feature set
- text classification
- generalization ability
- face recognition
- low dimensional
- base classifiers
- ensemble classifier
- natural language processing
- text mining
- unlabeled data
- feature selection
- feature descriptors
- neural network
- sparse representation
- concept drift
- bayesian networks
- classification accuracy
- active learning
- high dimensional
- data streams
- data mining
- data sets
- base learners