Twitter sentiment analysis during unlock period of COVID-19

Abstract

The pandemic has hit the individuals at both personal, social and professional front triggering emotional crisis leading to stress, anxiety and other related problems. However, some countries are now easing down on restrictions by going from lock down to unlocking in a phased manner. As life springs back to action the sentiments and emotions of people are bound to change. It therefore becomes imperative to understand the emotions and sentiments of people after seven months of outbreak when the people are more informed about the nature of disease, steps for prevention and also have hope for a vaccine coming up in near future. The study analyses the sentiments of the people from the USA and India by text mining using R Studio. The study has various implications for academicians as it adds to the existing knowledge pool. The findings provide guidance to the policy makers to tailor their support policies in response to the emotional state of their people and also assists the marketers to tailor the communication strategies in the light of the emotional state of the target market.