Triplex Transfer Learning: Exploiting Both Shared and Distinct Concepts for Text Classification.
Fuzhen ZhuangPing LuoChangying DuQing HeZhongzhi ShiHui XiongPublished in: IEEE Trans. Cybern. (2014)
Keyphrases
- transfer learning
- text classification
- labeled data
- text categorization
- learning tasks
- machine learning
- knowledge transfer
- text mining
- feature selection
- cross domain
- sentiment analysis
- domain adaptation
- unlabeled data
- manifold alignment
- naive bayes
- multi task
- cross domain text classification
- co training
- k nearest neighbor
- semi supervised learning
- multi label
- transfer knowledge
- sentiment classification
- knn
- document classification
- target domain
- multi task learning
- previously learned
- training and test data
- data sets
- active learning
- concept space
- natural language processing
- transferring knowledge
- collaborative filtering