Analysis of Sentiments of Twitter Data on Remote Working

Abstract

COVID-19 has significantly increased interest in remote working. The phenomenon of this increase was examined in this paper by examining tweets on Twitter by analysis the sentiments of people working remotely. Data were collected by downloading tweets by using keywords “#remoteworking.” The study also explored magazines like HR people matters, HBR, and articles from reputed journals, and by visiting regularly NASSCOM Web site and newspapers. Compiled data are then refined through data mining techniques, and then, sentiment analyses have been deployed. Sentiment index was found greater than one which reflected that people are very happy with having remote working. It was also found that the issue of remote work increased nearly 15 times in a year, reaching an epidemic peak in March 2020. The study has shown that in the post-COVID period it will stay permanently.