Very quaffable and great fun: Applying NLP to wine reviews

Iris Hendrickx; Els Lefever; Ilja Croijmans; Asifa Majid; Antal Van Den Bosch

doi:10.18653/v1/P16-2050

Very quaffable and great fun: Applying NLP to wine reviews

Iris Hendrickx, Els Lefever, Ilja Croijmans, Asifa Majid, Antal Van Den Bosch

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

We automatically predict properties of wines on the basis of smell and flavor descriptions from experts' wine reviews. We show wine experts are capable of describing their smell and flavor experiences in wine reviews in a sufficiently consistent manner, such that we can use their descriptions to predict properties of a wine based solely on language. The experimental results show promising F-scores when using lexical and semantic information to predict the color, grape variety, country of origin, and price of a wine. This demonstrates, contrary to popular opinion, that wine experts' reviews really are informative.

Original language	English
Title of host publication	54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Short Papers
Publisher	Association for Computational Linguistics
Pages	306-312
Number of pages	7
ISBN (Electronic)	9781510827592
DOIs	https://doi.org/10.18653/v1/P16-2050
Publication status	Published - 1 Jan 2016
Event	54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Berlin, Germany Duration: 7 Aug 2016 → 12 Aug 2016

Conference

Conference	54th Annual Meeting of the Association for Computational Linguistics, ACL 2016
Country/Territory	Germany
City	Berlin
Period	7/08/16 → 12/08/16

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10.18653/v1/P16-2050Licence: CC BY

Very quaffable and great fun: Applying NLP to wine reviewsFinal published version, 197 KBLicence: CC BY

Cite this

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title = "Very quaffable and great fun: Applying NLP to wine reviews",

abstract = "We automatically predict properties of wines on the basis of smell and flavor descriptions from experts' wine reviews. We show wine experts are capable of describing their smell and flavor experiences in wine reviews in a sufficiently consistent manner, such that we can use their descriptions to predict properties of a wine based solely on language. The experimental results show promising F-scores when using lexical and semantic information to predict the color, grape variety, country of origin, and price of a wine. This demonstrates, contrary to popular opinion, that wine experts' reviews really are informative.",

author = "Iris Hendrickx and Els Lefever and Ilja Croijmans and Asifa Majid and {Van Den Bosch}, Antal",

year = "2016",

month = jan,

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doi = "10.18653/v1/P16-2050",

language = "English",

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booktitle = "54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Short Papers",

publisher = "Association for Computational Linguistics",

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note = "54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 ; Conference date: 07-08-2016 Through 12-08-2016",

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Hendrickx, I, Lefever, E, Croijmans, I, Majid, A & Van Den Bosch, A 2016, Very quaffable and great fun: Applying NLP to wine reviews. in 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Short Papers. Association for Computational Linguistics, pp. 306-312, 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016, Berlin, Germany, 7/08/16. https://doi.org/10.18653/v1/P16-2050

Very quaffable and great fun: Applying NLP to wine reviews. / Hendrickx, Iris; Lefever, Els; Croijmans, Ilja et al.
54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Short Papers. Association for Computational Linguistics, 2016. p. 306-312.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Van Den Bosch, Antal

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AB - We automatically predict properties of wines on the basis of smell and flavor descriptions from experts' wine reviews. We show wine experts are capable of describing their smell and flavor experiences in wine reviews in a sufficiently consistent manner, such that we can use their descriptions to predict properties of a wine based solely on language. The experimental results show promising F-scores when using lexical and semantic information to predict the color, grape variety, country of origin, and price of a wine. This demonstrates, contrary to popular opinion, that wine experts' reviews really are informative.

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Very quaffable and great fun: Applying NLP to wine reviews

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