This paper is in the following e-collection/theme issue:

Web-based and Mobile Health Interventions (4054) Evaluation and Research Methodology for mHealth (243) Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (420) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (91)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78984, first published .
Effectiveness of Digital Interventions for Low-Income, Food-Insecure Populations: Natural Language Processing Study of WIC Smartphone App User Reviews, 2013-2024

Effectiveness of Digital Interventions for Low-Income, Food-Insecure Populations: Natural Language Processing Study of WIC Smartphone App User Reviews, 2013-2024

Effectiveness of Digital Interventions for Low-Income, Food-Insecure Populations: Natural Language Processing Study of WIC Smartphone App User Reviews, 2013-2024

Authors of this article:

Jihye Lee1 Author Orcid Image
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Jihye Lee   1 , PhD

1 Stan Richards School of Advertising and Public Relations, Moody College of Communication, The University of Texas at Austin, Austin, TX, United States

Corresponding Author:

  • Jihye Lee, PhD
  • Stan Richards School of Advertising and Public Relations
  • Moody College of Communication, The University of Texas at Austin
  • 300 W Dean Keeton DMC 4.314 (A1200)
  • Austin, TX 78712
  • United States
  • Phone: 1 512 471 1101
  • Email: jihye.lee@austin.utexas.edu