SENTIMENT ANALYSIS USING TWITTER INFORMATION FLOW ABOUT THE WORK FROM HOME CULTURE THAT IS WIDELY ADOPTED DUE TO COVID PANDEMIC

In this research, the focus is on the sentiments among the people around the globe who have been adjusting to the new Normal-Work from Home, that was the need of the hour because of the Covid-19 pandemic. While it has been blessing for some, it has been a curse for others. Some are excited to be with their families, some are feeling claustrophobic because of being at home all the time. In order to analyze the sentiments of the people, the platform used was twitter API. Tweets were downloaded into the software R Studio with the hashtag #wfh. The downloaded tweets were then comprehensively studied using sentiment analysis on R studio. There was a least misinformation and the data related to the sentiments of the people was reliable, consistent and accurate. The sentiment analysis that has been done has successfully identified some sentiments that are specific and relevant to the new normal “Work from home”. It had been identified that there is a prevalence of pessimism among people about the impact on the future and also a bit of positivity.