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Towards a Transparent and an Environmental-Friendly Approach for Short Text Topic Detection : A Comparison of Methods for Performance, Transparency, and Carbon Footprint

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dc.contributor.authorAl Sulaimani, Sami
dc.contributor.authorStarkey, Andrew
dc.contributor.institutionUniversity of Aberdeen.Natural & Computing Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Engineeringen
dc.date.accessioned2024-01-30T10:55:00Z
dc.date.available2024-01-30T10:55:00Z
dc.date.issued2023
dc.description.statusPeer revieweden
dc.format.extent14
dc.format.extent1990194
dc.identifier283527051
dc.identifierc6217f7b-0958-4dd1-a1b1-7e4cc232a43e
dc.identifier85177661188
dc.identifier.citationAl Sulaimani, S & Starkey, A 2023, 'Towards a Transparent and an Environmental-Friendly Approach for Short Text Topic Detection : A Comparison of Methods for Performance, Transparency, and Carbon Footprint', Journal of Advances in Information Technology, vol. 14, no. 6, pp. 1240-1253. https://doi.org/10.12720/jait.14.6.1240-1253en
dc.identifier.doi10.12720/jait.14.6.1240-1253
dc.identifier.iss6en
dc.identifier.issn1798-2340
dc.identifier.urihttps://hdl.handle.net/2164/22665
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85177661188&partnerID=8YFLogxKen
dc.identifier.vol14en
dc.language.isoeng
dc.relation.ispartofJournal of Advances in Information Technologyen
dc.subjectcarbon footprinten
dc.subjectcontextual analysisen
dc.subjectexplainabilityen
dc.subjecttext analysisen
dc.subjecttopic detectionen
dc.subjecttransparencyen
dc.subjectunsupervised machine learningen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectSoftwareen
dc.subjectInformation Systemsen
dc.subjectComputer Science Applicationsen
dc.subjectComputer Networks and Communicationsen
dc.subjectArtificial Intelligenceen
dc.subject.lccQA75en
dc.titleTowards a Transparent and an Environmental-Friendly Approach for Short Text Topic Detection : A Comparison of Methods for Performance, Transparency, and Carbon Footprinten
dc.typeJournal articleen

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