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Sentiment-Topic Modelling in Text Mining

dc.contributor.authorLin, Chenghua
dc.contributor.authorIbeke, Emmanuel Ebuka
dc.contributor.authorWyner, Adam Zachary
dc.contributor.authorGuerin, Frank
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Natural & Computing Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Energyen
dc.date.accessioned2016-08-31T23:01:52Z
dc.date.available2016-08-31T23:01:52Z
dc.date.embargoedUntil2016-09-01
dc.date.issued2015-09
dc.description.statusPeer revieweden
dc.format.extent9
dc.format.extent1766521
dc.identifier53925165
dc.identifier8bd8081c-c591-4e77-882e-2425e07c53de
dc.identifier84939224425
dc.identifier.citationLin, C, Ibeke, E E, Wyner, A Z & Guerin, F 2015, 'Sentiment-Topic Modelling in Text Mining', Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, vol. 5, no. 5, pp. 246-254. https://doi.org/10.1002/widm.1161en
dc.identifier.doi10.1002/widm.1161
dc.identifier.iss5en
dc.identifier.issn1942-4795
dc.identifier.otherORCID: /0000-0003-1918-6311/work/64219159
dc.identifier.urihttp://hdl.handle.net/2164/7415
dc.identifier.vol5en
dc.language.isoeng
dc.relation.ispartofWiley Interdisciplinary Reviews: Data Mining and Knowledge Discoveryen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subject.lccQA75en
dc.titleSentiment-Topic Modelling in Text Miningen
dc.typeJournal articleen

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