Sentiment analysis of imbalanced datasets using BERT and ensemble stacking for deep learning.
Nassera HabbatNouri HichamHouda AnounLarbi HassouniPublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- sentiment analysis
- deep learning
- imbalanced datasets
- ensemble methods
- base classifiers
- ensemble learning
- imbalanced data
- class distribution
- unsupervised learning
- decision trees
- prediction accuracy
- machine learning
- class imbalance
- benchmark datasets
- machine learning methods
- text classification
- minority class
- classification error
- cost sensitive
- ensemble classifier
- natural language processing
- multi class
- feature selection
- training set
- training data
- base learners
- sampling methods
- text mining
- naive bayes
- learning algorithm
- neural network
- feature subset
- training samples
- feature set