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Conference Paper

Very quaffable and great fun: Applying NLP to wine reviews

MPS-Authors
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Croijmans,  Ilja
International Max Planck Research School for Language Sciences, MPI for Psycholinguistics, Max Planck Society;
Center for Language Studies , External Organizations;

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Majid,  Asifa
Research Associates, MPI for Psycholinguistics, Max Planck Society;

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P16-2050.pdf
(Publisher version), 164KB

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Citation

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.


Cite as: http://hdl.handle.net/11858/00-001M-0000-002A-C63D-E
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.