Abstract
The global pandemic of COVID-19, has impacted various sectors around the globe, including education sector. It has compelled the educators and learners to go for the teaching/learning activities in online mode, rather than traditional face to face teaching. The technology-enabled interactions can be effective only when the student teacher bonding is created and the sentiments of the learners are understood fully. To be prepared for such outbreaks in future is the need of hour. The study imbibes the role of sentiment analysis with the introduction of what it means and how it can help in such outbreaks in an online learning environment. Recently few studies are being contributed for covering the various aspects of this evolving area of sentiment analysis. The literature however is scattered and unorganized, therefore there is a need to conduct a systematic literature review to compile all the relevant studies together and to arrange it in a framework. This paper attempts towards this to provide better insight on the usage of sentiment analysis for education sector. The outcome of this paper is a step towards proposal of future areas of the research in this emerging field.
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Sharma, S., Tyagi, V., Vaidya, A. (2021). Sentiment Analysis in Online Learning Environment: A Systematic Review. In: Singh, M., Tyagi, V., Gupta, P.K., Flusser, J., Ören, T., Sonawane, V.R. (eds) Advances in Computing and Data Sciences. ICACDS 2021. Communications in Computer and Information Science, vol 1441. Springer, Cham. https://doi.org/10.1007/978-3-030-88244-0_34
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