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Sentiment Analysis in Online Learning Environment: A Systematic Review

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Advances in Computing and Data Sciences (ICACDS 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1441))

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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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Author information

Authors and Affiliations

  1. Symbiosis Institute of Computer Studies and Research, Symbiosis International (Deemed University), Atur Centre, Model Colony, Pune, 411016, India

    Sarika Sharma & Anagha Vaidya

  2. Jaypee University of Engineering and Technology, Raghogarh-Guna, 473226, MP, India

    Vipin Tyagi

Authors
  1. Sarika Sharma
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  2. Vipin Tyagi
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  3. Anagha Vaidya
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Editor information

Editors and Affiliations

  1. Consilio Research Lab, Tallinn, Estonia

    Mayank Singh

  2. Jaypee University of Engineering and Technology, Guna, Madhya Pradesh, India

    Vipin Tyagi

  3. Jaypee University of Information Technology, Waknaghat, Himachal Pradesh, India

    P. K. Gupta

  4. Institute of Information Theory and Automation, Prague, Czech Republic

    Jan Flusser

  5. University of Ottawa, Ottawa, ON, Canada

    Tuncer Ören

  6. MVPS's Karmaveer Adv. Baburao Ganpatrao Thakare College of Engineering, Nashik, Maharashtra, India

    V. R. Sonawane

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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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  • DOI: https://doi.org/10.1007/978-3-030-88244-0_34

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  • Publisher Name: Springer, Cham

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