Detecting Bias in Transfer Learning Approaches for Text Classification.
Irene LiPublished in: CoRR (2021)
Keyphrases
- text classification
- transfer learning
- labeled data
- cross domain text classification
- text categorization
- learning tasks
- unlabeled data
- text mining
- machine learning algorithms
- cross domain
- hierarchical bayesian model
- knowledge transfer
- feature selection
- sentiment classification
- structure learning
- target domain
- text classifiers
- artificial intelligence
- sentiment analysis
- unsupervised learning
- k nearest neighbor
- knn
- naive bayes
- natural language processing
- active learning
- transfer knowledge
- manifold alignment
- high dimensional
- databases