Sentiment analysis of Covid 19 Vaccines using Twitter Data

ABSTRACT

Sentiment Analysis is an approach for identifying the polarity of the text. In recent times Social Media is a popular platform for people to socialize and express their opinions on various topics. Given the Covid situation around the globe Social media is facilitating most of the social interactions among paople. In the last two years the most popular topic of discussion has been covid related topics. People have been discussing on various aspects of covid like infections, lockdowns etc. When the vaccines were rolled out by many nations, vaccinations became the hot topic. All the social media platforms like face book and Twitter were flooded with messages related to corona vaccines. The data sets used for analysis in this work specifically belong to the vaccines rolled out by two countries India and USA. TextBlob was used for analysing the sentiments. The results are presented in form of polarity and subjectivity scores and also wordclouds. © 2022 IEEE.