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Towards the Automatic Detection of Nutritional Incompatibilities Based on Recipe Titles

Abstract : The present paper reports experimental work on the automatic detection of nutritional incompatibilities of cooking recipes based on their titles. Such incompatibilities viewed as medical or cultural issues became a major concern in western societies. The gastronomy language represents an important challenge because of its elusiveness, its metaphors, and sometimes its catchy style. The recipe title processing brings together the analysis of short and domain-specific texts. We tackle these issues by building our algorithm on the basis of a common knowledge lexical semantic network. The experiment is reproducible. It uses freely available resources.
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Nadia Bebeshina-Clairet, Mathieu Lafourcade. Towards the Automatic Detection of Nutritional Incompatibilities Based on Recipe Titles. CD-MAKE: Cross-Domain Conference for Machine Learning and Knowledge Extraction, Aug 2017, Reggio, Italy. pp.346-366, ⟨10.1007/978-3-319-66808-6_23⟩. ⟨hal-01677134⟩

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