Preprint Article Version 1 This version is not peer-reviewed

Fuzzy-Based Sentiment Analysis System for Analyzing Student Feedback and Satisfaction

Version 1 : Received: 28 June 2019 / Approved: 1 July 2019 / Online: 1 July 2019 (11:17:37 CEST)

How to cite: Asghar, M.Z.; Ullah, I.; Shamshirband, S.; Kundi, F.M.; Habib, A. Fuzzy-Based Sentiment Analysis System for Analyzing Student Feedback and Satisfaction. Preprints 2019, 2019070006 (doi: 10.20944/preprints201907.0006.v1). Asghar, M.Z.; Ullah, I.; Shamshirband, S.; Kundi, F.M.; Habib, A. Fuzzy-Based Sentiment Analysis System for Analyzing Student Feedback and Satisfaction. Preprints 2019, 2019070006 (doi: 10.20944/preprints201907.0006.v1).

Abstract

The feedback collection and analysis has remained an important subject matter since 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 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.

Subject Areas

student feedback analysis; sentiments opinion words; polarity shifters; lexicon-based

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