Comparing two sentiment analysis approaches by understand the hesitancy to COVID-19 vaccine based on Twitter data in two cultures

Abstract

Data has become a precious resource, and Twitter is one of the most important sources. Especially, during the pandemic. In this study, I aim to compare the sentiment of two sentiment analysis approaches (lexicon based and machine learning) by using the tweets that are related to COVID-19 vaccine in two different cultures (English and Arabic).