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

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dc.contributor.authorLinquist, Joseph
dc.contributor.authorThomas, Diana M.
dc.contributor.authorTurner, Dusty
dc.contributor.authorBlankenship, Jeanne
dc.contributor.authorKyle, Theodore K.
dc.date.accessioned2023-09-22T14:45:49Z
dc.date.available2023-09-22T14:45:49Z
dc.date.issued2021
dc.description.abstractThe 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.
dc.description.sponsorshipDepartment of Mathematical Sciences
dc.identifier.citationLindquist 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.
dc.identifier.doihttps://doi/10.1093/ajcn/nqab119
dc.identifier.issn0002-9165
dc.identifier.urihttps://hdl.handle.net/20.500.14216/685
dc.publisherThe American Journal of Clinical Nutrition
dc.relation.ispartofThe American Journal of Clinical Nutrition
dc.subject2020 Dietary Guidelines
dc.subjectEmotion
dc.subjectLatent Dirichlet allocation
dc.subjectMachine Learning
dc.subjectNatural language processing
dc.subjectPublic comments
dc.subjectSentiment
dc.subjectTopic modeling
dc.titleFood for thought: A natural language processing analysis of the 2020 Dietary Guidelines publice comments
dc.typejournal-article
local.peerReviewedYes
oaire.citation.issue2
oaire.citation.volume114

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