Sentiment, Stance, and Emotion Analysis on Twitter for COVID-19 Vaccination: A Survey

  • Doğan KÜÇÜK Gazi University
  • Nursal ARICI Gazi University, Faculty of Applied Sciences, Department of Management Information Systems
Keywords: social media analysis, Twitter, COVID-19, NLP, sentiment analysis, stance detection, emotion recognition

Abstract

Social media analysis is used for various purposes ranging from trend analysis to recommender systems and public health monitoring. In this paper, social media analysis studies conducted to determine people's sentiments, stances, and emotions towards COVID-19 vaccination are reviewed. COVID-19 is an ongoing pandemic, and there exist debates on Twitter about COVID-19 vaccines. It is practical and promising to automatically extract the opinions of Twitter users and consider them during health-related policy-making. There are several recent studies on this vital topic, and our paper aims to present a survey of the related significant studies. The findings of the reviewed papers and the current survey paper can make important contributions to health-related policy-making processes.

Published
28-06-2022
How to Cite
KÜÇÜK, D., & ARICI, N. (2022). Sentiment, Stance, and Emotion Analysis on Twitter for COVID-19 Vaccination: A Survey. Artificial Intelligence Studies, 5(1), 14-22. https://doi.org/10.30855/AIS.2022.05.01.02
Section
Articles