Open Access
ARTICLE
Fuzzy-Based Sentiment Analysis System for Analyzing Student Feedback and Satisfaction
Yun Wang1, Fazli Subhan2, Shahaboddin Shamshirband3, 4, *, Muhammad Zubair Asghar5, Ikram Ullah5, Ammara Habib5
1 School of Public Administration, Zhengzhou University, Zhengzhou, China.
2 National University of Modern Languages, Islamabad, Pakistan.
3 Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam.
4 Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Viet Nam.
5 Institute of Computing and Information Technology, Gomal University, D.I.Khan (KP), Pakistan.
* Corresponding Author: Shahaboddin Shamshirband. Email: .
Computers, Materials & Continua 2020, 62(2), 631-655. https://doi.org/10.32604/cmc.2020.07920
Abstract
The feedback collection and analysis has remained an important subject matter
for long. The traditional techniques for student feedback analysis are based on
questionnaire-based data collection and analysis. However, the student expresses their
feedback opinions on online social media sites, which need to be analyzed. This study
aims at the development of fuzzy-based sentiment analysis system for analyzing student
feedback and satisfaction by assigning proper sentiment score to opinion words and
polarity shifters present in the input reviews. Our technique computes the sentiment score
of student feedback reviews and then applies a fuzzy-logic module to analyze and
quantify student’s satisfaction at the fine-grained level. The experimental results reveal
that the proposed work has outperformed the baseline studies as well as state-of-the-art
machine learning classifiers.
Keywords
Cite This Article
Y. Wang, F. Subhan, S. Shamshirband, M. Zubair Asghar, I. Ullah
et al., "Fuzzy-based sentiment analysis system for analyzing student feedback and satisfaction,"
Computers, Materials & Continua, vol. 62, no.2, pp. 631–655, 2020.
Citations