Olaniyi Abiodun Ayeni; Akinkuotu Mercy; Thompson A.F; Mogaji A.S

Web-Based Student Opinion Mining System Using Sentiment Analysis

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Author(s)

Olaniyi Abiodun Ayeni ^1,* Akinkuotu Mercy ² Thompson A.F ¹ Mogaji A.S ³

1. Department of Cyber Security, Federal University of Technology, Akure, Nigeria

2. Department of Computer Science, Federal University of Technology, Akure

3. School of Computing, Federal University of Technology, Akure , Nigeria

* Corresponding author.

DOI: https://doi.org/10.5815/ijieeb.2020.05.04

Received: 15 Jan. 2020 / Revised: 16 Mar. 2020 / Accepted: 3 Apr. 2020 / Published: 8 Oct. 2020

Index Terms

Opinion Mining, Sentiment analysis, Students, Feedback

Abstract

Collecting feedback from a few students after the exams has been the norm in educational institutions. Forms are given to students to assess the course the lecturer has taught. The main purpose of developing student opinion mining system is to create a faster and easier method of collecting feedback from student, and also give lecturers and school administrators an easier way of analysing the feedback collected from students. The significance of this application is that it is less expensive and present a more confidential way of getting students opinion. The major tools used in developing this application are Python, Scikit learn, Textblob, Pandas and SQLite.. Django provides an in-built server that allows the application to run on the localhost.. In this project dataset gotten from online feedback form distributed to students was used for the sentiment analysi ,Chi-square was used for feature selection and the support vector machine algorithm was used for sentiment classification. The application will help the university administrators and lecturers to identify the strengths and weaknesses of the lecturer based on the textual evaluation made by the students.

Cite This Paper

Olaniyi Abiodun Ayeni, Akinkuotu Mercy, Thompson A.F, Mogaji A.S, "Web-Based Student Opinion Mining System Using Sentiment Analysis", International Journal of Information Engineering and Electronic Business(IJIEEB), Vol.12, No.5, pp. 33-46, 2020. DOI:10.5815/ijieeb.2020.05.04

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International Journal of Information Engineering and Electronic Business (IJIEEB)