A domain adaptation approach for resume classification using graph attention networks and natural language processing.
Thi-Thuy-Quynh TrinhYu-Chi ChungR. J. KuoPublished in: Knowl. Based Syst. (2023)
Keyphrases
- domain adaptation
- natural language processing
- machine learning
- document classification
- decision trees
- text mining
- support vector
- sentiment classification
- text classification
- cross domain
- classification accuracy
- co training
- training set
- multiple sources
- feature space
- natural language
- feature selection
- sentiment analysis
- transfer learning
- semi supervised
- knowledge representation
- classification algorithm
- class labels
- model selection
- co occurrence
- general purpose
- information extraction