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

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.