Using Natural Language Processing and Artificial Intelligence to Explore the Nutrition and Sustainability of Recipes and Food

In this paper, we discuss the use of natural language processing and artificial intelligence to analyze 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...

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Detalles Bibliográficos
Autores principales: van Erp, Marieke, Reynolds, Christian, Maynard, Diana, Starke, Alain, Ibáñez Martín, Rebeca, Andres, Frederic, Leite, Maria C. A., Alvarez de Toledo, Damien, Schmidt Rivera, Ximena, Trattner, Christoph, Brewer, Steven, Adriano Martins, Carla, Kluczkovski, Alana, Frankowska, Angelina, Bridle, Sarah, Levy, Renata Bertazzi, Rauber, Fernanda, Tereza da Silva, Jacqueline, Bosma, Ulbe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940824/
https://www.ncbi.nlm.nih.gov/pubmed/33733227
http://dx.doi.org/10.3389/frai.2020.621577
Descripción
Sumario:In this paper, we discuss the use of natural language processing and artificial intelligence to analyze 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 natural language processing and artificial intelligence with expert domain knowledge to create practical tools and comprehensive analysis for the food domain.

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