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Electronic Opinion Analysis System for Library (E-OASL)

This paper demonstrates a new algorithm for Electronic Opinion Analysis System (E-OASL) for university library where it can analyze the user opinion on library and categorized it in different classification such as positive, negative, neutral and suggestions. The system also shows the percentage of...

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Main Authors: Md. Shahanur Alam, Md. Abdullah-Al-Jubair, Md. Ashikur Rahman, Tourjana Islam Supti, Rahanuma Tabassum, Taznine Ara, Ng, Giap Weng
Format: Article
Language:English
Published: 2020
Subjects:
T Technology (General)
Online Access:https://eprints.ums.edu.my/id/eprint/25721/1/Electronic%20Opinion%20Analysis%20System%20for%20Library%20%28E-OASL%29.pdf
https://eprints.ums.edu.my/id/eprint/25721/
https://doi.org/10.1145/3377049.3377066
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spelling my.ums.eprints.257212020-07-28T01:41:26Z https://eprints.ums.edu.my/id/eprint/25721/ Electronic Opinion Analysis System for Library (E-OASL) Md. Shahanur Alam Md. Abdullah-Al-Jubair Md. Ashikur Rahman Tourjana Islam Supti Rahanuma Tabassum Taznine Ara Ng, Giap Weng T Technology (General) This paper demonstrates a new algorithm for Electronic Opinion Analysis System (E-OASL) for university library where it can analyze the user opinion on library and categorized it in different classification such as positive, negative, neutral and suggestions. The system also shows the percentage of each classification as system output. Our proposed algorithm is based on hybrid approach of sentiment analysis where machine learning's rule-based classifier and lexicon approach's corpus datastore are utilized. We needed to collect around 1200 raw data from the different types of user who are using university library to build our algorithm. The system integrates MySQL database for faster and better data processing. The paper also shows the evaluation of the E-OASL which showed satisfactory result of effectiveness and efficiency of EOASL compare to manual opinion analysis approach. 2020 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/25721/1/Electronic%20Opinion%20Analysis%20System%20for%20Library%20%28E-OASL%29.pdf Md. Shahanur Alam and Md. Abdullah-Al-Jubair and Md. Ashikur Rahman and Tourjana Islam Supti and Rahanuma Tabassum and Taznine Ara and Ng, Giap Weng (2020) Electronic Opinion Analysis System for Library (E-OASL). ICPS Proceedings, 40. pp. 1-6. https://doi.org/10.1145/3377049.3377066
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Md. Shahanur Alam
Md. Abdullah-Al-Jubair
Md. Ashikur Rahman
Tourjana Islam Supti
Rahanuma Tabassum
Taznine Ara
Ng, Giap Weng
Electronic Opinion Analysis System for Library (E-OASL)
description This paper demonstrates a new algorithm for Electronic Opinion Analysis System (E-OASL) for university library where it can analyze the user opinion on library and categorized it in different classification such as positive, negative, neutral and suggestions. The system also shows the percentage of each classification as system output. Our proposed algorithm is based on hybrid approach of sentiment analysis where machine learning's rule-based classifier and lexicon approach's corpus datastore are utilized. We needed to collect around 1200 raw data from the different types of user who are using university library to build our algorithm. The system integrates MySQL database for faster and better data processing. The paper also shows the evaluation of the E-OASL which showed satisfactory result of effectiveness and efficiency of EOASL compare to manual opinion analysis approach.
format Article
author Md. Shahanur Alam
Md. Abdullah-Al-Jubair
Md. Ashikur Rahman
Tourjana Islam Supti
Rahanuma Tabassum
Taznine Ara
Ng, Giap Weng
author_facet Md. Shahanur Alam
Md. Abdullah-Al-Jubair
Md. Ashikur Rahman
Tourjana Islam Supti
Rahanuma Tabassum
Taznine Ara
Ng, Giap Weng
author_sort Md. Shahanur Alam
title Electronic Opinion Analysis System for Library (E-OASL)
title_short Electronic Opinion Analysis System for Library (E-OASL)
title_full Electronic Opinion Analysis System for Library (E-OASL)
title_fullStr Electronic Opinion Analysis System for Library (E-OASL)
title_full_unstemmed Electronic Opinion Analysis System for Library (E-OASL)
title_sort electronic opinion analysis system for library (e-oasl)
publishDate 2020
url https://eprints.ums.edu.my/id/eprint/25721/1/Electronic%20Opinion%20Analysis%20System%20for%20Library%20%28E-OASL%29.pdf
https://eprints.ums.edu.my/id/eprint/25721/
https://doi.org/10.1145/3377049.3377066
_version_ 1760230405111283712
score 13.223943

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