Sentiment Analysis of Electronic Word of Mouth (E-WoM) on E-Learning

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Author(s): Okure Udo Obot (Department of Computer Science, University of Uyo, Nigeria), Kingsley Friday Attai (Ritman University, Nigeria), Gregory O. Onwodi (National Open University of Nigeria, Nigeria), Imaobong James (Robert Gordon University, UK)and Anietie John (Ritman University, Nigeria)
Copyright: 2025
Pages: 23
Source title: Encyclopedia of Information Science and Technology, Sixth Edition
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Founding Editor-in-Chief, Information Resources Management Journal (IRMJ), USA)
DOI: 10.4018/978-1-6684-7366-5.ch057

Keywords: Computer Science & IT / Global Information Technology / Information Science Reference

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Abstract

The proliferation of social media and the internet has given people many opportunities to air their views and to be at liberty to say what they feel without hindrance. This is beneficial to commercial organizations and the general well-being of the populace. However, the cost of this freedom is that spamming is practiced with little or no control. This chapter focuses on the electronic word of mouth (eWOM) of opinion holders and the sentiments expressed in eWOM. One of the areas of life impacted by sentiment is electronic learning because it has become a prevalent mode of learning. The study aims to analyze eWOM on e-learning which can help in identifying learners' sentiments. Findings from three thousand tweets show more neutral sentiments, followed by positive sentiments. Suggestions and recommendations as well as the future directions for sentiment analysis of eWOM on e-learning are also discussed in this chapter.

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Sentiment Analysis of Electronic Word of Mouth (E-WoM) on E-Learning

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