id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
aiti-11743	Amit Pimpalkar; Jeberson Retna Raj	A Novel Paradigm for Sentiment Analysis on COVID-19 Tweets with Transfer Learning Based Fine-Tuned BERT	2023	13	.pdf	application/pdf	5829	300	50	254-266 257 as the training data used to develop SA models may not represent the population or contain biases that affect the model’s accuracy. The testing technique provides data to fine- tune the model’s hyper-parameters and verify model performance on 20% of the data after training it on 80% of the dataset.	cache/aiti-11743.pdf	txt/aiti-11743.txt