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dc.contributor.authorShanmuganathan, S
dc.contributor.authorSallis, P
dc.date.accessioned2011-08-17T01:12:19Z
dc.date.available2011-08-17T01:12:19Z
dc.date.copyright2009-09-01
dc.date.issued2011-08-17
dc.identifier.citationAustralian Journal Of Intelligent Information Processing Systems, 10(3)
dc.identifier.issn1321-2133
dc.identifier.urihttp://hdl.handle.net/10292/1746
dc.description.abstractThe motivation for modelling the effects of climate change on viticulture and wine quality using both qualitative and quantitative data within an integrated analytical framework is described. The major constraints and solutions evident when taking such an approach are outlined. WEBSOM is a novel self-organising map (SOM) method for extracting relevant domain dependent characteristics from web based text and in this case applied to modelling wine quality determined by climate variation, by web text mining a sample of 95 New Zealand wine published descriptions made by sommeliers about this phenomenon. This paper describes experiments using the WEBSOM method with their results.
dc.publisherAUT University
dc.relation.isreplacedby10292/1747
dc.relation.isreplacedbyhttp://hdl.handle.net/10292/1747
dc.relation.urihttp://cs.anu.edu.au/ojs/index.php/ajiips/article/view/1065
dc.rightsThis journal uses Open Journal Systems 2.1.1.0, which is open source journal management and publishing software developed, supported, and freely distributed by the Public Knowledge Project under the GNU General Public License.
dc.subjectText mining
dc.subjectSelf-organising maps and artificial neural nets
dc.titleModelling climate change effects on wine quality based on expert opinions expressed in free-text format: the WEBSOM approach
dc.typeJournal Article
dc.rights.accessrightsOpenAccess


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