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dc.contributor.authorAbdul Aziz, Azwa
dc.contributor.authorStarkey, Andrew
dc.date.accessioned2020-02-04T00:06:11Z
dc.date.available2020-02-04T00:06:11Z
dc.date.issued2020-01-28
dc.identifier.citationAbdul Aziz , A & Starkey , A 2020 , ' Predicting Supervise Machine Learning Performances for Sentiment Analysis Using Contextual-Based Approaches ' , IEEE Access , vol. 8 , pp. 17722-17733 . https://doi.org/10.1109/ACCESS.2019.2958702en
dc.identifier.issn2169-3536
dc.identifier.otherPURE: 156506080
dc.identifier.otherPURE UUID: 97c87b2d-1890-4987-a899-edca9cb54bca
dc.identifier.otherScopus: 85079777399
dc.identifier.urihttps://hdl.handle.net/2164/13652
dc.format.extent12
dc.language.isoeng
dc.relation.ispartofIEEE Accessen
dc.rightsThis work is licensed under a Creative Commons Attribution 4.0 License. For more information, see http://creativecommons.org/licenses/by/4.0/en
dc.subjectText analyticsen
dc.subjectsentiment analysisen
dc.subjectcontextual analysisen
dc.subjectsupervised machine learningen
dc.subjectTA Engineering (General). Civil engineering (General)en
dc.subjectEngineering(all)en
dc.subjectMaterials Science(all)en
dc.subjectComputer Science(all)en
dc.subject.lccTAen
dc.titlePredicting Supervise Machine Learning Performances for Sentiment Analysis Using Contextual-Based Approachesen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Engineeringen
dc.contributor.institutionUniversity of Aberdeen.Engineeringen
dc.contributor.institutionUniversity of Aberdeen.Energyen
dc.contributor.institutionUniversity of Aberdeen.Centre for Applied Dynamics Research (CADR)en
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1109/ACCESS.2019.2958702
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85079777399&partnerID=8YFLogxKen
dc.identifier.vol8en


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