| Literature DB >> 33733227 |
Marieke van Erp1, Christian Reynolds2, Diana Maynard3, Alain Starke4, Rebeca Ibáñez Martín5, Frederic Andres6, Maria C A Leite7, Damien Alvarez de Toledo6, Ximena Schmidt Rivera8, Christoph Trattner4, Steven Brewer9, Carla Adriano Martins10, Alana Kluczkovski10, Angelina Frankowska10, Sarah Bridle10, Renata Bertazzi Levy11, Fernanda Rauber11, Jacqueline Tereza da Silva10, Ulbe Bosma12.
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.Entities:
Keywords: computational recipe analysis; food computing; food history; food science; interdisciplinary; natural language processing; recommender systems; semantic web
Year: 2021 PMID: 33733227 PMCID: PMC7940824 DOI: 10.3389/frai.2020.621577
Source DB: PubMed Journal: Front Artif Intell ISSN: 2624-8212