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Using Natural Language Processing and Artificial Intelligence to Explore the Nutrition and Sustainability of Recipes and Food by Marieke van Erp; Christian Reynolds; Diana Maynard; Alain Starke; Rebeca Ibáñez Martín; Frederic Andres; Maria C. A. Leite; Damien Alvarez de Toledo; Ximena Schmidt Rivera; Christoph Trattner; Steven Brewer; Carla Adriano Martins; Alana Kluczkovski; Angelina Frankowska; Sarah Bridle; Renata Bertazzi Levy; Fernanda Rauber; Jacqueline Tereza da Silva; Ulbe Bosma is a Computer Science article available to read on EtoBox.

What is Using Natural Language Processing and Artificial Intelligence to Explore the Nutrition and Sustainability of Recipes and Food about?

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.

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

Author

Marieke van Erp; Christian Reynolds; Diana Maynard; Alain Starke; Rebeca Ibáñez Martín; Frederic Andres; Maria C. A. Leite; Damien Alvarez de Toledo; Ximena Schmidt Rivera; Christoph Trattner; Steven Brewer; Carla Adriano Martins; Alana Kluczkovski; Angelina Frankowska; Sarah Bridle; Renata Bertazzi Levy; Fernanda Rauber; Jacqueline Tereza da Silva; Ulbe Bosma

Publisher

Frontiers Media SA

Published

2021

Language

EN

Field

Computer Science (Physical Sciences)