Using Natural Language Processing and Artificial Intelligence to explore the nutrition and sustainability of recipes and food

Ulbe Bosma, Marieke van Erp, Christian Reynolds, DIana Maynard, Alain Starke, Rebeca Ibañez-Martin, Fredric Andres, Damien Alvarez de Toledo, Christoph Trattner, Steven Brewer, Ximena Schmidt, Carla Adriano Martins, Alana Kluczkovski, Sara Bridle, Renata Bertazzi Levy, Fernanda Rauber, Jacqueline Tereza da Silva

Research output: Contribution to JournalArticleAcademicpeer-review


In this paper, we discuss the use of natural language processing (NLP) and artificial intelligence (AI) to analyse nutritional and sustainability aspects of recipes and food. We present the state of the art and some use cases, followed by a discussion of challenges. Our perspective on addressing these is that while they typically have a technical nature, they nevertheless require an interdisciplinary approach combining NLP and AI with expert domain knowledge to create practical tools and comprehensive analysis for the food domain.
Original languageUndefined/Unknown
JournalFrontiers in Artificial Intelligence
Publication statusPublished - 2020

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