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Towards a framework on sentiment analysis of educational domain for improving the teaching and learning services

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General Information
Title
Towards a framework on sentiment analysis of educational domain for improving the teaching and learning services
Type
Article
Main Author
Harnani Mat Zin
Additional Authors
  • Norwati Mustapha
  • Masrah Azrifah Azmi Murad
  • Nurfadhlina Mohd Sharef
Subject
QA Mathematics
ISSN
2289-7844
Language Code
eng
Bibliographic Details
Place of Production
Tanjong Malim
Publisher
Fakulti Komputeran dan META-Teknologi
Year of publication
2017
Notes
Vol. 4 (2017): Journal of ICT in Education (JICTIE)
Degree Type
Others
Corporate Name
Perpustakaan Tuanku Bainun

Abstract

Analysing students_ feedback and their expressed emotions toward any subjects could help lecturers to understand their students_ learning behaviour. Several platforms are used by students to express their feelings such as through social networking sites, blogs, discussion forums and the university survey systems. However, the feedbacks typically contain thousands of sentences and are from various sources which makes analysing them a cumbersome and tedious work. In this regard, sentiment analysis (SA) has been proposed to automate the process of mining user feedback into valuable information. This paper discusses the principles of SA, its potential benefits, and its application in the educational field based on the synthesis of previous studies. We suggest that SA can help lecturers to easily understand the needs and problems of their students. In particular, a framework and a performance evaluation method were proposed to help guide the implementation of the SA in the education domain. Keywords: Opinion, sentiment analysis, sentiment analysis in educational domain.

References

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