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Textual Descriptions Used for Classification of Oaked vs Unoaked Wines

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dc.contributor.authorBöck, Ronald
dc.contributor.authorVenkateswaran, Siddarth
dc.contributor.authorNguyen, Thi
dc.contributor.authorDurner, Dominik
dc.contributor.editorKlein, Maike
dc.contributor.editorKrupka, Daniel
dc.contributor.editorWinter, Cornelia
dc.contributor.editorWohlgemuth, Volker
dc.date.accessioned2023-11-29T14:50:22Z
dc.date.available2023-11-29T14:50:22Z
dc.date.issued2023
dc.description.abstractWinemaking and grapegrowing are sciences with a long tradition dealing with one of the most complex beverages in the world. This complexity stems from the winemaking process itself as well as the characteristics of the final product. Wine’s aroma is often described through scalar assessments, though here we are focusing on textual descriptions, transferring methods from the natural language processing (NLP) community to the wine domain, in particular to analyse the statements of human panellists. Textual descriptions were used for the classification of oaked versus unoaked wines as an initial demonstration of NLP in the wine domain. We achieved significant discrimination results of 0.79 F1-score comparing BERT and Naïve Bayes classifiers. This shows that more natural textual (and potentially spoken) descriptions of wine, being later combined with classical scalar assessments, can provide more flexibility to human panellists.en
dc.identifier.doi10.18420/inf2023_162
dc.identifier.isbn978-3-88579-731-9
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43088
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2023 - Designing Futures: Zukünfte gestalten
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-337
dc.subjectWine Descriptors
dc.subjectClassification
dc.subjectBERT
dc.subjectNLP
dc.titleTextual Descriptions Used for Classification of Oaked vs Unoaked Winesen
dc.typeText/Conference Paper
gi.citation.endPage1598
gi.citation.publisherPlaceBonn
gi.citation.startPage1591
gi.conference.date26.-29. September 2023
gi.conference.locationBerlin
gi.conference.sessiontitleÖkologische Nachhaltigkeit - Kolloquium Landwirtschaft der Zukunft - Ist KI ein wesentlicher Schlüssel zur nachhaltigeren Landwirtschaft?

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P337 - INFORMATIK 2023 - Designing Futures: Zukünfte gestalten