Food for thought: A natural language processing analysis of the 2020 Dietary Guidelines publice comments

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Authors

Linquist, Joseph
Thomas, Diana M.
Turner, Dusty
Blankenship, Jeanne
Kyle, Theodore K.

Issue Date

2021

Type

journal-article

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Keywords

2020 Dietary Guidelines , Emotion , Latent Dirichlet allocation , Machine Learning , Natural language processing , Public comments , Sentiment , Topic modeling

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Abstract

The Administrative Procedure Act of 1946 guarantees the public an opportunity to view and comment on the 2020 Dietary Guidelines as part of the policymaking process. In the past, public comments were submitted by postal mail or public hearings. The convenience of public comment through the Internet has generated increased comment volume, making manual analysis challenging.

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Citation

Lindquist J, Thomas DM, Turner D, Blankenship J, Kyle TK. Food for thought: A natural language processing analysis of the 2020 Dietary Guidelines publice comments. Am J Clin Nutr. 2021 Aug 2;114(2):713-720. doi: 10.1093/ajcn/nqab119. Erratum in: Am J Clin Nutr. 2023 May;117(5):1049. PMID: 34134135.

Publisher

The American Journal of Clinical Nutrition

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PubMed ID

ISSN

0002-9165

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