ITEM VIEW

Modelling the sensory space of varietal wines : mining of large, unstructured text data and visualisation of style patterns

dc.contributor.authorValente, Carlo C.en_ZA
dc.contributor.authorBauer, Florian F.en_ZA
dc.contributor.authorVenter, Fritzen_ZA
dc.contributor.authorWatson, Bruceen_ZA
dc.contributor.authorNieuwoudt, Helene H.en_ZA
dc.date.accessioned2018-05-16T09:22:37Z
dc.date.available2018-05-16T09:22:37Z
dc.date.issued2018
dc.identifier.citationValente, C. C., et al. 2018. Modelling the sensory space of varietal wines : mining of large, unstructured text data and visualisation of style patterns. Scientific Reports, 8:4987, doi:10.1038/s41598-018-23347-wen_ZA
dc.identifier.issn2045-2322 (Online)
dc.identifier.otherdoi:10.1038/s41598-018-23347-w
dc.identifier.urihttp://hdl.handle.net/10019.1/104005
dc.descriptionCITATION: Valente, C. C., et al. 2018. Modelling the sensory space of varietal wines : mining of large, unstructured text data and visualisation of style patterns. Scientific Reports, 8:4987, doi:10.1038/s41598-018-23347-w.en_ZA
dc.descriptionThe original publication is available at http://www.nature.comen_ZA
dc.descriptionPublication of this article was funded by the Stellenbosch University Open Access Fund.en_ZA
dc.description.abstractThe increasingly large volumes of publicly available sensory descriptions of wine raises the question whether this source of data can be mined to extract meaningful domain-specific information about the sensory properties of wine. We introduce a novel application of formal concept lattices, in combination with traditional statistical tests, to visualise the sensory attributes of a big data set of some 7,000 Chenin blanc and Sauvignon blanc wines. Complexity was identified as an important driver of style in hereto uncharacterised Chenin blanc, and the sensory cues for specific styles were identified. This is the first study to apply these methods for the purpose of identifying styles within varietal wines. More generally, our interactive data visualisation and mining driven approach opens up new investigations towards better understanding of the complex field of sensory science.en_ZA
dc.description.urihttps://www.nature.com/articles/s41598-018-23347-w
dc.format.extent13 pages : illustrationsen_ZA
dc.language.isoen_ZAen_ZA
dc.publisherNature Publishing Groupen_ZA
dc.subjectWine and wine makingen_ZA
dc.subjectSensory properties of wineen_ZA
dc.titleModelling the sensory space of varietal wines : mining of large, unstructured text data and visualisation of style patternsen_ZA
dc.typeArticleen_ZA
dc.description.versionPublisher's versionen_ZA
dc.rights.holderAuthors retain copyrighten_ZA


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

ITEM VIEW