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.
dc.contributor.authorBauer, Florian F.
dc.contributor.authorVenter, Fritz
dc.contributor.authorWatson, Bruce
dc.contributor.authorNieuwoudt, Helene H.
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-w
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.
dc.descriptionThe original publication is available at http://www.nature.com
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
dc.language.isoen_ZAen_ZA
dc.publisherNature Publishing Group
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 version
dc.rights.holderAuthors retain copyright


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

ITEM VIEW