Post Covid-19 Sentiment Analysis of Success of Online Learning: A Case Study of India

Over the years, e-learning has seen a boost with the advancement in technology. The very pertinent problem of Covid-19 led to the adoption of online education in India. This study aims to understand the online education in India in terms of benefits, challenges, and strategies using sentiment analysis and the positive and negative instances faced by Indian students and teachers during the pandemic time. Responses from students and teachers have been garnered during the pandemic Covid-19 as the primary source of data. The nature of the research conducted is exploratory and qualitative. Further, a comparative analysis has been undertaken using data visualization. Primary data has been collected using questionnaire and interview methods while secondary data through Twitter. The data pertains to the sentiments of undergraduate and management graduate college students and teachers from February 2020 to January 2022. The secondary data corpus collected from Twitter (5000 tweets) was scraped using Application Program Interfaces (APIs) for further analysis. The Findings suggest that most of the opinions in the primary data collected have been negative while the secondary data analysis shows that polarity is more on neutral sentiments and subjectivity is more on positive sentiments. Relevant recommendations have been made on the conclusion drawn.