Sentimental Analysis of Twitter Data on Online Learning During Unlock Phase of COVID-19

ABSTRACT

The coronavirus-induced lockdown has brought everyone’s life to a standstill and negatively impacted sentiments worldwide. It has also made online learning a compulsion for most students. The world is now following work from home and the e-learning boom. Almost all the schools and colleges have leveraged distance learning, thus continuing education from home and learning processes. Thus, online learning has a significant effect on education and has become a viable option for offline classes. The new norm has opened doors for blended learning, which will likely stay in the future. Our study analyses the sentiments of students on online learning. The proposed technique has been used to analyze tweets are subjectivity and polarity and later performed statistical analysis on cleaned tweets to know students’ sentiments on online learning. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.