Sentiment Analysis Using Machine Learning and Deep Learning on Covid 19 Vaccine Twitter Data with Hadoop MapReduce

ABSTRACT

The Coronavirus, also known as COVID-19, initially surfaced in Wuhan, China, in December of 2019. The virus was one of the most widely discussed subjects on social media. As a result, these social media sources are exposed to and present a variety of viewpoints, beliefs, and feelings. Big data is a significant resource for computer scientists and scholars who want to understand how people feel about current events. We present a real-time implementation of a system that can identify Twitter opinions about the COVID-19 Vaccine using Hadoop in this work. All tweets are divided into three categories (Positive, Neutral, and Negative). Sentiment analysis was conducted by Logistic Regression, Random Forest, Deep Neural Network, and Convolutional Neural Network. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.