Modelling climate change effects on wine quality based on expert opinions expressed in free-text format: the WEBSOM approach
aut.researcher | Shanmuganathan, Subana | |
dc.contributor.author | Shanmuganathan, S | |
dc.contributor.author | Sallis, P | |
dc.date.accessioned | 2011-08-17T01:12:19Z | |
dc.date.available | 2011-08-17T01:12:19Z | |
dc.date.copyright | 2009-09-01 | |
dc.date.issued | 2009-09-01 | |
dc.description.abstract | The 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.identifier.citation | Australian Journal Of Intelligent Information Processing Systems, 10(3) | |
dc.identifier.issn | 1321-2133 | |
dc.identifier.uri | https://hdl.handle.net/10292/1746 | |
dc.publisher | AUT University | |
dc.relation.isreplacedby | 10292/1747 | |
dc.relation.isreplacedby | http://hdl.handle.net/10292/1747 | |
dc.relation.uri | http://cs.anu.edu.au/ojs/index.php/ajiips/article/view/1065 | |
dc.rights | This 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.rights.accessrights | OpenAccess | |
dc.subject | Text mining | |
dc.subject | Self-organising maps and artificial neural nets | |
dc.title | Modelling climate change effects on wine quality based on expert opinions expressed in free-text format: the WEBSOM approach | |
dc.type | Journal Article | |
pubs.organisational-data | /AUT | |
pubs.organisational-data | /AUT/PBRF Researchers | |
pubs.organisational-data | /AUT/PBRF Researchers/Other Directorates | |
pubs.organisational-data | /AUT/PBRF Researchers/Other Directorates/VC Office | |
pubs.organisational-data | /AUT/Vice Chancellor's Group |