Sentiment Analysis of COVID-19 Vaccines Amritpal Singh, Vandana Bhasin, Abhishek Jatana, Naval Saxena, and Shivam Rojal Abstract Social media is invariably being used these days for exchanging informa- tion and views on global affairs including COVID-19 pandemic. In this study, we have worked to understand the public attitudes of people in different countries towards COVID-19 vaccines using social media platform Twitter. We have applied natural language processing techniques of sentiment analysis to get an insightful outlook on people’s views. Hence, we categorized our results into fine-grained polarities to grasp the exact sentiment. For analyzing the sentiments, we have taken tweets that expressed sentiments for all countries, as well as for four countries that had higher fatality rates are United States of America, Mexico, Brazil and India. The people have expressed a neutral opinion towards the vaccines. Based on the sentiment, the vaccines were also ranked in which the people have expressed more faith in Sputnik V and Covishield vaccines. Keywords COVID-19 · COVID-19 vaccine · Sentiment analysis · Vaccines · Tweepy · Twitter A. Singh · V. Bhasin (B ) · A. Jatana · N. Saxena · S. Rojal Lal Bahadur Shastri Institute of Management, Delhi, India e-mail: vandanabhasin@lbsim.ac.in A. Singh e-mail: amritpal_singh-mca20@lbsim.ac.in A. Jatana e-mail: abhishek-mca20@lbsim.ac.in N. Saxena e-mail: naval_saxena-mca20@lbsim.ac.in S. Rojal e-mail: shivam_rojal-mca20@lbsim.ac.in © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023 D. Gupta et al. (eds.), International Conference on Innovative Computing and Communications, Lecture Notes in Networks and Systems 471, https://doi.org/10.1007/978-981-19-2535-1_2 19