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dc.contributor.authorLin, Chenghua
dc.contributor.authorIbeke, Emmanuel Ebuka
dc.contributor.authorWyner, Adam Zachary
dc.contributor.authorGuerin, Frank
dc.date.accessioned2016-08-31T23:01:52Z
dc.date.available2016-08-31T23:01:52Z
dc.date.issued2015-09
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 . DOI: 10.1002/widm.1161en
dc.identifier.issn1942-4795
dc.identifier.otherPURE: 53925165
dc.identifier.otherPURE UUID: 8bd8081c-c591-4e77-882e-2425e07c53de
dc.identifier.otherScopus: 84939224425
dc.identifier.urihttp://hdl.handle.net/2164/7415
dc.format.extent9en
dc.language.isoeng
dc.relation.ispartofWiley Interdisciplinary Reviews: Data Mining and Knowledge Discoveryen
dc.rightsThis is the peer reviewed version of the following article: Lin, C., Ibeke, E., Wyner, A. and Guerin, F. (2015), Sentiment–topic modeling in text mining. WIREs Data Mining Knowl Discov, 5: 246–254. which has been published in final form at doi: 10.1002/widm.1161. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.en
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subject.lccQA75en
dc.titleSentiment-Topic Modelling in Text Miningen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen, Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen, Natural & Computing Sciencesen
dc.contributor.institutionUniversity of Aberdeen, Energyen
dc.description.statusPeer revieweden
dc.description.versionPostprinten
dc.identifier.doihttps://doi.org/10.1002/widm.1161
dc.date.embargoedUntil01-09-20


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