Currently, most of the people are stating their opinion through social media. Public opinion stands an important one while reviewing any product, Movie etc. The field of opinion mining has turn out to be the most significant areas of Natural Language Processing. Opinion mining can be used to make decisions about the product or Movie centred on the reviews given by customers in social media. Twitter is one of the most popular social media platforms;Twitter allows users to express their opinions through tweets. It is vital to use these reviews to make decisions and manage the situation. This paper examines public opinions regarding Corona vaccination during pandemic situations with the goal of exploring the opinions of people. In this work, opinion mining of tweets posted by users in Twitter regarding corona vaccination has been performed using Machine Learning Models and Lexicon based approach. Data are collected from Twitter through Tweepy API, and it is pre-processed using NLTK library using python. A comparison of eleven different classification algorithms is made to determine which the best is. As a result, we can conclude that people support neutral decision to take Corona vaccine during the current pandemic. © 2022 IEEE.
Sentiment Analysis of Corona Vaccination on Twitter Data using Machine Learning Techniques