Textual Analysis of Vaccine Hesitancy Trends During The COVID-19 Pandemic

Abstract

Sentiment Analysis (SA) is a very prominent area of research in Natural Language Processing (NLP). It involves the extraction and identification of subjective information. In this study, vaccine hesitancy trends were discussed during the COVID-19 pandemic. People expressed their opinions about COVID-19 hesitancy on social media platforms such as Facebook and Twitter. This study includes a detailed review of the methods used by different researchers to identify and extract the sentiments of people about hesitancy of the COVID-19 vaccine. Textual datasets extracted from social media platforms, which contain tweets related to vaccine hesitancy trends were also discussed. This study concludes all the methods, techniques, and models that were adopted by researchers using textual datasets taken from social media. Finally, the conclusion of this study provides detailed insights and understanding of people sentiments who are hesitant about COVID-19 vaccine.