HIGHLIGHTS
- who: ufeffWenhaoufeff ufeffYingufeff from the School of Computer and Technology, Soochow University, Suzhou, China, School of Computer and have published the research: Text Sentiment Analysis Based on Transformer and Augmentation, in the Journal: (JOURNAL)
- what: The authors investigate reducing the number of parameters of the model while retaining its accuracy, thereby reducing the computational cost and response time required to run the model. The authors propose a text sentiment classification model based on the Transformer mechanism, which combines knowledge distillation and text augmentation methods to improve the accuracy of sentiment classification in the few-shot . . .
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