SYSTEMATIC REVIEW article
Front. Public Health
Sec. Public Mental Health
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1609749
This article is part of the Research TopicAdvancing Public Health through Generative Artificial Intelligence: A Focus on Digital Well-Being and the Economy of AttentionView all 5 articles
Sentiment Analysis in Public Health: A Systematic Review of the Current State, Challenges, and Future Directions
Provisionally accepted
- University of Texas Southwestern Medical Center, Dallas, Texas, United States
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Background: Sentimentanalysis, using natural language processing to understand opinions in text, is increasingly relevant for public health given the volume of online health discussions. Effectively using this approach requires understanding its methods, applications, and limitations.Objectives: This systematic review provides a comprehensive overview of sentiment analysis in public health, examining methodologies, applications, data sources, challenges, evaluation practices, and ethical considerations.
Keywords: Sentiment analaysis, natural language procecessing, Mental Health, LLM, Public Health, systematic review
Received: 10 Apr 2025; Accepted: 27 May 2025.
Copyright: © 2025 Villanueva-Miranda, Xie and Xiao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Guanghua Xiao, University of Texas Southwestern Medical Center, Dallas, 75390, Texas, United States
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.