Yun Wang1, Fazli Subhan2, Shahaboddin Shamshirband3, 4, *, Muhammad Zubair Asghar5, Ikram Ullah5, Ammara Habib5
CMC-Computers, Materials & Continua, Vol.62, No.2, pp. 631-655, 2020, DOI: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… More >
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