A method for analyzing text using VOSviewer
The need for technical support for data handling and visualization solutions has increased in tandem with the complexity of today's data and information, that is of multiple sources, huge in size and of different formats. This study focuses on handling and analyzing text-based data. Despite man...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-12-01
|
Series: | MethodsX |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2215016123003369 |
_version_ | 1797405426027855872 |
---|---|
author | Umar Ali Bukar Md Shohel Sayeed Siti Fatimah Abdul Razak Sumendra Yogarayan Oluwatosin Ahmed Amodu Raja Azlina Raja Mahmood |
author_facet | Umar Ali Bukar Md Shohel Sayeed Siti Fatimah Abdul Razak Sumendra Yogarayan Oluwatosin Ahmed Amodu Raja Azlina Raja Mahmood |
author_sort | Umar Ali Bukar |
collection | DOAJ |
description | The need for technical support for data handling and visualization solutions has increased in tandem with the complexity of today's data and information, that is of multiple sources, huge in size and of different formats. This study focuses on handling and analyzing text-based data. Despite many available text analysis tools, there is a high demand among researchers for easy- to-use tools yet scalable and with incomparable visualization features. Of recent, there has been a significant focus on utilizing VOSviewer, an open-source software for bibliometric analysis. This software is able to analyze a significant amount of data and provide excellent network data mapping. However, there is a lack of existing work in evaluating this sophisticated tool for text analysis. Thus, this article explores the capability of VOSviewer and presents evidence-based implementation of this software for text analysis.Specifically, this study demonstrates the usage of VOSviewer to analyze text based on YouTube interviews related to ChatGPT. Hence, this study significantly contributes by processing textual data and producing visualization network maps that are different from bibliometric data. The study recognizes VOSviewer as a powerful tool for data visualization in mapping text data and illustrates the potential of this software for analyzing text networks in various fields. • The study illustrates how text analysis and visualization can be realized using VOSviewer, an open-source software mostly used for biblio- metric analysis. • The study presents the workflow indicating how the dataset can be prepared as input for VOSviewer for text analysis. • The study proves that VOSviewer is a powerful tool for data visualization and network mapping for any type of network data including transcripts from social media. |
first_indexed | 2024-03-09T03:09:44Z |
format | Article |
id | doaj.art-37f35f26cb8d4f1188d3b6007821ecd8 |
institution | Directory Open Access Journal |
issn | 2215-0161 |
language | English |
last_indexed | 2024-03-09T03:09:44Z |
publishDate | 2023-12-01 |
publisher | Elsevier |
record_format | Article |
series | MethodsX |
spelling | doaj.art-37f35f26cb8d4f1188d3b6007821ecd82023-12-04T05:22:23ZengElsevierMethodsX2215-01612023-12-0111102339A method for analyzing text using VOSviewerUmar Ali Bukar0Md Shohel Sayeed1Siti Fatimah Abdul Razak2Sumendra Yogarayan3Oluwatosin Ahmed Amodu4Raja Azlina Raja Mahmood5Centre for Intelligent Cloud Computing (CICC), Faculty of Information Science and Technology, Multimedia University, Melaka, MalaysiaCentre for Intelligent Cloud Computing (CICC), Faculty of Information Science and Technology, Multimedia University, Melaka, Malaysia; Corresponding author.Centre for Intelligent Cloud Computing (CICC), Faculty of Information Science and Technology, Multimedia University, Melaka, MalaysiaCentre for Intelligent Cloud Computing (CICC), Faculty of Information Science and Technology, Multimedia University, Melaka, MalaysiaDepartment of Electrical, Electronics Systems Engineering, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor 43600, Malaysia; Information and Communication Engineering Department, Elizade University, Ilara-Mokin, Ondo State, NigeriaDepartment of Communication Technology and Network, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Serdang, Selangor Darul Ehsan 43400, MalaysiaThe need for technical support for data handling and visualization solutions has increased in tandem with the complexity of today's data and information, that is of multiple sources, huge in size and of different formats. This study focuses on handling and analyzing text-based data. Despite many available text analysis tools, there is a high demand among researchers for easy- to-use tools yet scalable and with incomparable visualization features. Of recent, there has been a significant focus on utilizing VOSviewer, an open-source software for bibliometric analysis. This software is able to analyze a significant amount of data and provide excellent network data mapping. However, there is a lack of existing work in evaluating this sophisticated tool for text analysis. Thus, this article explores the capability of VOSviewer and presents evidence-based implementation of this software for text analysis.Specifically, this study demonstrates the usage of VOSviewer to analyze text based on YouTube interviews related to ChatGPT. Hence, this study significantly contributes by processing textual data and producing visualization network maps that are different from bibliometric data. The study recognizes VOSviewer as a powerful tool for data visualization in mapping text data and illustrates the potential of this software for analyzing text networks in various fields. • The study illustrates how text analysis and visualization can be realized using VOSviewer, an open-source software mostly used for biblio- metric analysis. • The study presents the workflow indicating how the dataset can be prepared as input for VOSviewer for text analysis. • The study proves that VOSviewer is a powerful tool for data visualization and network mapping for any type of network data including transcripts from social media.http://www.sciencedirect.com/science/article/pii/S2215016123003369Analysis and visualization of text data |
spellingShingle | Umar Ali Bukar Md Shohel Sayeed Siti Fatimah Abdul Razak Sumendra Yogarayan Oluwatosin Ahmed Amodu Raja Azlina Raja Mahmood A method for analyzing text using VOSviewer MethodsX Analysis and visualization of text data |
title | A method for analyzing text using VOSviewer |
title_full | A method for analyzing text using VOSviewer |
title_fullStr | A method for analyzing text using VOSviewer |
title_full_unstemmed | A method for analyzing text using VOSviewer |
title_short | A method for analyzing text using VOSviewer |
title_sort | method for analyzing text using vosviewer |
topic | Analysis and visualization of text data |
url | http://www.sciencedirect.com/science/article/pii/S2215016123003369 |
work_keys_str_mv | AT umaralibukar amethodforanalyzingtextusingvosviewer AT mdshohelsayeed amethodforanalyzingtextusingvosviewer AT sitifatimahabdulrazak amethodforanalyzingtextusingvosviewer AT sumendrayogarayan amethodforanalyzingtextusingvosviewer AT oluwatosinahmedamodu amethodforanalyzingtextusingvosviewer AT rajaazlinarajamahmood amethodforanalyzingtextusingvosviewer AT umaralibukar methodforanalyzingtextusingvosviewer AT mdshohelsayeed methodforanalyzingtextusingvosviewer AT sitifatimahabdulrazak methodforanalyzingtextusingvosviewer AT sumendrayogarayan methodforanalyzingtextusingvosviewer AT oluwatosinahmedamodu methodforanalyzingtextusingvosviewer AT rajaazlinarajamahmood methodforanalyzingtextusingvosviewer |