A Visualization Dashboard for COVID-19 Tweets Sentiment Analysis

Abstract

The COVID-19 pandemic has compelled the world to come to a standstill. Everyone including governments, researchers, organizations were caught off-guard. Social scientists and psychologists all try to understand the sentiment of the public so that they can help social organizations and governments to avert situations that ought to become worse if a negative sentiment persists among the commonality. With government-issued lockdowns in place during the pandemic, the public was mostly confined to their homes. So, the public started to share their status updates, discussions, photos, and videos over social media. Social media became the go-to place to obtain the public's sentiments and insights on the COVID-19 pandemic. This chapter introduces the utilization of the Twitter API to obtain tweets in real-time based on hashtags relating to the COVID-19 pandemic in order to gain insights on the sentiments of people at specific times. Each tweet received will be analyzed for emotional tone and sentiment. All data is stored in a Cloudant database.