Topic and sentiment analysis of responses to Muslim clerics’ misinformation correction about COVID-19 vaccine: Comparison of three machine learning models

Abstract

The purpose of this research was to use develop a sentiment model using machine learning algorithms for discerning public response about the misinformation correction practices of Muslim clerics on YouTube.

Keywords

• balanced random forest
• computational method
• covid-19 vaccine misinformation
• machine learning
• misinformation correction
• muslim clerics
• sentiment analysis
• topic model