research-article

A Decision Model for Ranking Asian Higher Education Institutes Using an NLP-Based Text Analysis Approach

Authors:

Gautam SrivastavaAuthors Info & Claims

ACM Transactions on Asian and Low-Resource Language Information Processing, Volume 22, Issue 3

Article No.: 75, Pages 1 - 20

https://doi.org/10.1145/3534562

Published: 10 March 2023 Publication History

Abstract

Identification of the best institute for higher education has become one of the most challenging issues in the present education system. It has become more complicated as more institutes exist with extraordinary infrastructural facilities. Therefore, a decision model is required to identify the best institute for higher education based on multiple criteria. This article proposes a Natural Language Processing (NLP) -based decision model for the identification of the best higher education institute using MCDM methods. The existing decision models for the selection of the best higher education institutions consider a limited number of criteria for decision-making. In this proposed model, 17 criteria and 15 institute datasets have been identified for the development of the decision model through extensive research and experts opinion. The NLP-based text analysis approach is applied to extract the relevant information and convert it to a suitable format. As the relative importance of the criteria plays a crucial role in decision-making, CRITIC and Rank centroid methods are applied for the calculation of relative weights of criteria. TOPSIS method is used to generate the ranking grades of alternatives for each criterion. An objective function is defined to calculate the evaluation scores and select the best institute for higher education. It has been observed that the ranks obtained from the developed model match pretty well with the ranks obtained from other MCDM methods and the experts.

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Cited By

Yang S(2025)Intelligent Tutoring System Algorithm: Enhance Personalized Learning ExperienceFrontier Computing: Vol 110.1007/978-981-96-2794-3_46(431-439)Online publication date: 21-Feb-2025
https://doi.org/10.1007/978-981-96-2794-3_46
Basireddy CCheruku VB PRajagopal SSoangra R(2024)Hybrid prediction models for assessing the Higher Education Institutions Performance in QS World Institution RankingsF1000Research10.12688/f1000research.155847.113(1529)Online publication date: 17-Dec-2024
https://doi.org/10.12688/f1000research.155847.1
Zuheros CMartínez-Cámara EHerrera-Viedma EKatib IHerrera F(2023)Explainable Crowd Decision Making methodology guided by expert natural language opinions based on Sentiment Analysis with Attention-based Deep Learning and Subgroup DiscoveryInformation Fusion10.1016/j.inffus.2023.10182197:COnline publication date: 1-Sep-2023
https://dl.acm.org/doi/10.1016/j.inffus.2023.101821
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A Decision Model for Ranking Asian Higher Education Institutes Using an NLP-Based Text Analysis Approach

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Published In

cover image ACM Transactions on Asian and Low-Resource Language Information Processing

ACM Transactions on Asian and Low-Resource Language Information Processing Volume 22, Issue 3

March 2023

570 pages

ISSN:2375-4699

EISSN:2375-4702

DOI:10.1145/3579816

Editor:
Imed Zitouni
Google, USA

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 March 2023

Online AM: 14 July 2022

Accepted: 28 April 2022

Revised: 07 March 2022

Received: 05 August 2021

Published in TALLIP Volume 22, Issue 3

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Cited By

Yang S(2025)Intelligent Tutoring System Algorithm: Enhance Personalized Learning ExperienceFrontier Computing: Vol 110.1007/978-981-96-2794-3_46(431-439)Online publication date: 21-Feb-2025
https://doi.org/10.1007/978-981-96-2794-3_46
Basireddy CCheruku VB PRajagopal SSoangra R(2024)Hybrid prediction models for assessing the Higher Education Institutions Performance in QS World Institution RankingsF1000Research10.12688/f1000research.155847.113(1529)Online publication date: 17-Dec-2024
https://doi.org/10.12688/f1000research.155847.1
Zuheros CMartínez-Cámara EHerrera-Viedma EKatib IHerrera F(2023)Explainable Crowd Decision Making methodology guided by expert natural language opinions based on Sentiment Analysis with Attention-based Deep Learning and Subgroup DiscoveryInformation Fusion10.1016/j.inffus.2023.10182197:COnline publication date: 1-Sep-2023
https://dl.acm.org/doi/10.1016/j.inffus.2023.101821
Garg KShekhar SKumar AGoyal VSharma BChengoden RSrivastava G(2022)Framework for Handling Rare Word Problems in Neural Machine Translation System Using Multi-Word ExpressionsApplied Sciences10.3390/app12211103812:21(11038)Online publication date: 31-Oct-2022
https://doi.org/10.3390/app122111038

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