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  Very quaffable and great fun: Applying NLP to wine reviews

Hendricks, I., Lefever, E., Croijmans, I., Majid, A., & Van den Bosch, A. (2016). Very quaffable and great fun: Applying NLP to wine reviews. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics: Vol 2 (pp. 306-312). Stroudsburg, PA: Association for Computational Linguistics.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002A-C63D-E Version Permalink: https://hdl.handle.net/21.11116/0000-0002-6614-5
Genre: Conference Paper

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 Creators:
Hendricks, I., Author
Lefever, E., Author
Croijmans, Ilja1, 2, Author           
Majid, Asifa3, Author           
Van den Bosch, A., Author
Affiliations:
1International Max Planck Research School for Language Sciences, MPI for Psycholinguistics, Max Planck Society, Nijmegen, NL, ou_1119545              
2Center for Language Studies , External Organizations, ou_55238              
3Research Associates, MPI for Psycholinguistics, Max Planck Society, Wundtlaan 1, 6525 XD Nijmegen, NL, ou_2344700              

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 Abstract: We automatically predict properties of
wines on the basis of smell and flavor de-
scriptions from experts’ wine reviews. We
show wine experts are capable of describ-
ing their smell and flavor experiences in
wine reviews in a sufficiently consistent
manner, such that we can use their descrip-
tions to predict properties of a wine based
solely on language. The experimental re-
sults 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 ex-
perts’ reviews really are informative.

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Language(s): eng - English
 Dates: 2016
 Publication Status: Published online
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 Rev. Type: Peer
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Title: 54th Annual Meeting of the Association for Computational Linguistics
Place of Event: Berlin, Germany
Start-/End Date: 2016-08-07 - 2016-08-12

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Title: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics: Vol 2
Source Genre: Proceedings
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Publ. Info: Stroudsburg, PA : Association for Computational Linguistics
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 306 - 312 Identifier: -