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Ijcds150105 1570905771 by tprabha5087 is a document available to read on EtoBox.

This research paper presents a fusion architecture of BERT and RoBERTa to enhance sentiment analysis performance on tweets related to the COVID-19 pandemic. The study highlights the importance of pre-processing data to improve model accuracy and demonstrates that both models achieve high F1 scores, recall, and accuracy across sentiment classes. Future research directions include exploring model interpretability and applying the models to other domains.

Author

tprabha5087

Language

EN