Evidence map›Paper›PMID 33733227›Full record

ArticleFrontiers in artificial intelligence2020

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

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 and 9 more

Abstract read
In one paragraph

Article in Frontiers in artificial intelligence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. AI revolution in insurance: bridging research and reality.Frontiers in artificial intelligence · 2025
    Review
  7. Review
  8. Article
  9. Article
  10. Machine Learning in Nutrition Research.Advances in nutrition (Bethesda, Md.) · 2022
    Article
  11. Review
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Marieke van ErpKNAW Humanities Cluster, Amsterdam, Netherlands.
Christian ReynoldsCentre for Food Policy, City, University of London, London, United Kingdom.
Diana MaynardNatural Language Processing Group, Department of Computer Science, The University of Sheffield, Sheffield, United Kingdom.
Alain StarkeDepartment of Information Science and Media Studies, University of Bergen, Bergen, Norway.
Rebeca Ibáñez MartínMeertens Institute (KNAW), Amsterdam, Netherlands.
Frederic AndresNational Institute of Informatics, Chiyoda-ku, Japan.
Maria C A LeiteDepartment of Mathematics and Statistics, College of Arts and Sciences, University of South Florida, St. Petersburg, FL, United States.
Damien Alvarez de ToledoNational Institute of Informatics, Chiyoda-ku, Japan.
Ximena Schmidt RiveraEquitable Development and Resilience Research Group, Institute of Energy Futures, College of Engineering, Design and Physical Science, Brunel University London, Uxbridge, United Kingdom.
Christoph TrattnerDepartment of Information Science and Media Studies, University of Bergen, Bergen, Norway.
Steven BrewerText Mining Solutions Ltd., York, United Kingdom.
Carla Adriano MartinsDepartment of Physics & Astronomy, Faculty of Science and Engineering, The University of Manchester, Manchester, United Kingdom.
Alana KluczkovskiDepartment of Physics & Astronomy, Faculty of Science and Engineering, The University of Manchester, Manchester, United Kingdom.
Angelina FrankowskaDepartment of Physics & Astronomy, Faculty of Science and Engineering, The University of Manchester, Manchester, United Kingdom.
Sarah BridleDepartment of Physics & Astronomy, Faculty of Science and Engineering, The University of Manchester, Manchester, United Kingdom.
Renata Bertazzi LevyUniversity of São Paulo, São Paulo, Brazil.
Fernanda RauberUniversity of São Paulo, São Paulo, Brazil.
Jacqueline Tereza da SilvaDepartment of Physics & Astronomy, Faculty of Science and Engineering, The University of Manchester, Manchester, United Kingdom.
Ulbe BosmaInternational Institute of Social History (KNAW), Amsterdam, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

computational recipe analysisfood computingfood historyfood scienceinterdisciplinarynatural language processingrecommender systemssemantic web

Identifiers

PMID33733227
PMCPMC7940824

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.