covid

Assessing COVID-19 Vaccine Hesitancy via Sentiment Analysis: A Fine-Tuned Naive Bayes Classifier using Feature Engineering

Abstract—The introduction of COVID-19 vaccines was met with scepticism and fear, amplified through social media plat- forms such as Twitter. This work investigates public sentiment regarding vaccines by creating a new, more accurate classifier for classifying COVID-19-related tweets by employing transfer learning of a pre-trained model, fine tuning the model with COVID-19-related data, and feature …

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COVID-19: A detailed explanation and overview

Author: Supratha Murugaraj and Martin Binoy ABSTRACT AIM: The project aim is to briefly explain and summarise major COVID-19 findings onto one coherent document, so it would be more easily accessible for future medical students or researchers to use for analytical or research purposes. When researching about COVID-19, although there were plentiful resources going in …

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