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http://bura.brunel.ac.uk/handle/2438/23743| Title: | Using Natural Language Processing and Artificial Intelligence to Explore the Nutrition and Sustainability of Recipes and Food |
| Authors: | van Erp, M Reynolds, C Maynard, D Starke, A Ibáñez Martín, R Andres, F Leite, MCA Alvarez de Toledo, D Schmidt Rivera, X Trattner, C Brewer, S Adriano Martins, C Kluczkovski, A Frankowska, A Bridle, S Levy, RB Rauber, F da Silva, JT Bosma, U |
| Keywords: | natural language processing;semantic web;computational recipe analysis;food history;interdisciplinary;recommender systems;food science;food computing |
| Issue Date: | 23-Feb-2021 |
| Publisher: | Frontiers SA |
| Citation: | van Erp, M., Reynolds, C., 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., da Silva, J.T. 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, pp. 1-xx. doi: 10.3389/frai.2020.621577. |
| Abstract: | 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. 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. |
| URI: | https://bura.brunel.ac.uk/handle/2438/23743 |
| DOI: | https://doi.org/10.3389/frai.2020.621577 |
| ISSN: | 2624-8212 |
| Other Identifiers: | 621577 |
| Appears in Collections: | Dept of Chemical Engineering Research Papers |
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