van Erp, M., Reynolds, C. 
ORCID: 0000-0002-1073-7394, Maynard, D., Starke, A., Ibáñez Martín, R., Andres, F., Leite, M. C. A., Alvarez de Toledo, D., Schmidt Rivera, X., Trattner, C., Brewer, S., Adriano Martins, C., Kluczkovski, A., Frankowska, A., Bridle, S., Levy, R. B., Rauber, F., Tereza da Silva, J. and Bosma, U. (2021).
Using Natural Language Processing and Artificial Intelligence to Explore the Nutrition and Sustainability of Recipes and Food.
Frontiers in Artificial Intelligence, 3(621577),
doi: 10.3389/frai.2020.621577
Abstract
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.
| Publication Type: | Article |
|---|---|
| Additional Information: | Copyright © 2021 van Erp, Reynolds, Maynard, Starke, Ibáñez Martín, Andres, Leite, Alvarez de Toledo, Schmidt Rivera, Trattner, Brewer, Adriano Martins, Kluczkovski, Frankowska, Bridle, Levy, Rauber, Tereza da Silva and Bosma. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
| Publisher Keywords: | natural language processing, semantic web, computational recipe analysis, food history, interdisciplinary, recommender systems, food science, food computing |
| Subjects: | H Social Sciences > HM Sociology Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Departments: | School of Arts & Social Sciences > Sociology > Food Policy |
| Date available in CRO: | 23 Feb 2021 15:34 |
| Date deposited: | 23 February 2021 |
| Date of acceptance: | 10 December 2020 |
| Date of first online publication: | 23 February 2021 |
| URI: | https://openaccess.city.ac.uk/id/eprint/25704 |
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