Published on in Vol 3 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38676, first published .
State and Federal Legislators’ Responses on Social Media to the Mental Health and Burnout of Health Care Workers Throughout the COVID-19 Pandemic: Natural Language Processing and Sentiment Analysis

State and Federal Legislators’ Responses on Social Media to the Mental Health and Burnout of Health Care Workers Throughout the COVID-19 Pandemic: Natural Language Processing and Sentiment Analysis

State and Federal Legislators’ Responses on Social Media to the Mental Health and Burnout of Health Care Workers Throughout the COVID-19 Pandemic: Natural Language Processing and Sentiment Analysis

Journals

  1. Bani I, Mohamed Y, Andrade G. Evaluation of the impact of COVID-19 on stress and burnout among Ajman university (AU) medical students. Acta Psychologica 2024;246:104245 View
  2. Villanueva-Miranda I, Xie Y, Xiao G. Sentiment analysis in public health: a systematic review of the current state, challenges, and future directions. Frontiers in Public Health 2025;13 View
  3. Llerena L, Nata Castro D, Rodriguez N, Silva Sánchez D. Open Source Web Application (HealthTest) for Emotional Health and Wellness Management in University Students: Development and Usability Study. Online Journal of Public Health Informatics 2025;17:e69413 View
  4. Ashok V, Vervilles W, Kellom K, Chatterjee A, Ntigbu I, Boms O, Szabo A, Fein J, Richmond T, Purtle J, Kearney M, Meisel Z. Firearm Violence and Health in Policymaker Discourse: A Mixed-Methods Social Media Analysis (Preprint). JMIR Formative Research 2025 View

Books/Policy Documents

  1. Ghumman S. Demystifying Emerging Trends in Machine Learning. View