Sentiment Analysis of Electronic Word of Mouth (E-WoM) on E-Learning-Reference-Cited by-同舟云学术

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

Published:2024-07-01 Issue: Volume: Page:1-23
ISSN:2331-7701
Container-title:Advances in Information Quality and Management
language:
Short-container-title:

Author:

Obot Okure Udo¹,Attai Kingsley Friday²^ORCID,Onwodi Gregory O.³,James Imaobong⁴,John Anietie²

Affiliation:

1. Department of Computer Science, University of Uyo, Nigeria

2. Ritman University, Nigeria

3. National Open University of Nigeria, Nigeria

4. Robert Gordon University, UK

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.

Publisher

IGI Global

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