Abstract
1. Introduction
2. Literature Review
3. Research Framework
4. Methods
4.1 Data Collection and Preprocessing
4.2 EDA(Easy Data Augmentation)
4.3 Back Translation
4.4 Data Augmentation with Chat GPT
4.5 BERT
5. Result
5.1 Data Collection and Preprocessing
5.2 BERT model trained on the original dataset
5.3 BERT model trained after EDA
5.4 BERT model trained after Back Translation
5.5 BERT model trained after Chat GPT Augmentation
6. Conclusion
7. Limitations
References