Extraction of onomatopoeia used for foods from food reviews and its application to restaurant search

Authors:
Ayumi Kato;Yusuke Fukazawa;Tomomasa Sato;Taketoshi Mori
Affiliations:
The University of Tokyo, Tokyo, Japan;The University of Tokyo, Tokyo, Japan;The University of Tokyo, Tokyo, Japan;The University of Tokyo, Tokyo, Japan
Venue:
Proceedings of the 21st international conference companion on World Wide Web
Year:
2012

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Abstract

Onomatopoeia is widely used in food reviews about food or restaurants. In this paper, we propose and evaluate a method to extract onomatopoeia including unknown ones automatically from food reviews sites. From the evaluation result, we found that we can extract onomatopoeia for specific foods with more than 46% precision; we find 18 unknown onomatopoeia, i.e. not registered in an existing onomatopoeia dictionary, in 62 extracted onomatopoeia. In addition, we propose a system that can present the user with a list of onomatopoeia specific to a restaurant she is interested in. The evaluation results indicate that an intuitive restaurant search can be done via a list of onomatopoeia, and that they are helpful for selecting food or restaurants.