Open AccessTowards a Framework on Sentiment Analysis of Educational Domain for Improving the Teaching and Learning Services
Author(s) -
Harnani Mat Zin,
Norwati Mustapha,
Masrah Azrifah Azmi Murad,
Nurfadhlina Mohd Sharef
Publication year - 2017
Publication title -
journal of ict in education
Language(s) - English
Resource type - Journals
eISSN - 0127-9750
pISSN - 2289-7844
DOI - 10.37134/jictie.vol4.1.2017
Subject(s) - sentiment analysis , computer science , domain (mathematical analysis) , field (mathematics) , process (computing) , feeling , data science , mathematics education , artificial intelligence , psychology , mathematical analysis , social psychology , mathematics , pure mathematics , operating system
Analyzing 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 analyzing 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.