Learning for Amalgamation: A Multi-Source Transfer Learning Framework For Sentiment Classification.
Cuong V. NguyenKhiem H. LeAnh M. TranQuang Hong PhamBinh T. NguyenPublished in: CoRR (2023)
Keyphrases
- transfer learning
- cross domain text classification
- cross domain
- sentiment classification
- learning tasks
- domain adaptation
- knowledge transfer
- text classification
- multi task
- multi source
- learning algorithm
- transfer knowledge
- reinforcement learning
- active learning
- machine learning
- labeled data
- learning process
- supervised learning
- sentiment analysis
- multiple sources
- prior knowledge
- information fusion
- collaborative filtering
- social networks
- text categorization
- learning environment
- data fusion
- semi supervised learning