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An exploration of research trends on metaverse

Topic modeling with latent dirichlet allocation

Bibliographic Data

ID21377993
AuthorsHyejin Park (0000-0001-9695-8456, Korea Institute of Science & Technology Information), Buyoung Ahn (Korea Institute of Science & Technology Information), Taejong Kim (0000-0001-8087-2092, National Institute of Meteorological Sciences, corresponding author)
Year2025
Volume59
Issue1
Pages233-252
Publication date2025-02-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueQuality & Quantity (JOURNAL)
Journal identifiersISSN: 0033-5177 • E-ISSN: 1573-7845
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s11135-024-01931-9
OpenAlexW4400738920
LanguageEN
Citations received1
References cited70

Data science · Information retrieval · Latent Dirichlet allocation · Metaverse · Topic model · Artificial Intelligence · Computational and Text Analysis Methods · Computer Science · Diverse Approaches in Healthcare and Education Studies · Diverse Topics in Contemporary Research

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  • Finding scientific topics

    Open Access•Thomas L Griffiths, Mark Steyvers•Proceedings of the National…•2004

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    Open Access•Devon Allcoat, Adrian von Mühlenen•Research in Learning Technology•2018

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    Open Access•David M Blei•Communications of the ACM•2012

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    Open Access•Seungsu Paek, Taehun Um et al.•Education Sciences•2021

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  • The Metaverse as Mediator between Technology, Trends, and the Digital Transformation of Society and Business

    Open Access•Sven-Volker Rehm, Sven‐Volker Rehm et al.•Journal of Virtual Worlds Research•2015

Unique citing works1
Citations per year1
Citation span2025 - 2025 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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