Accessibility settings

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

Population and Public Health Informatics (147)

Published on in Vol 11, No 1 (2019):

JMIR Publications logo: Advancing Digital Health & Open Science

Understanding Socio-Cultural Factors related to Obesity: Sentiment Analysis on related Tweets

Understanding Socio-Cultural Factors related to Obesity: Sentiment Analysis on related Tweets

Authors of this article:

Delia S. West1
The full text of this article is available as a PDF download by clicking here.
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Li C, Jordan A, Ge Y, Park A. Leveraging Social Media Data to Understand the Impact of COVID-19 on Residents' Dietary Behaviors: Observational Study. Journal of Medical Internet Research 2025;27:e51638 View
  2. Vincent‐Paulraj A, Wood W, Marzolini C, Chiong J, Hodge D, Gibbons S, Seddon D, Martin J, Khoo S, Waker L. Understanding community questions about HIV pre‐exposure prophylaxis (PrEP): A thematic analysis of reddit threads to inform development of an AI chatbot for PrEP education. HIV Medicine 2026 View

Conference Proceedings

  1. V S, Kumar M, Manikandan P, E E, M L. 2026 International Conference on Visual Analytics and Data Visualization (ICVADV). A Hybrid Machine Learning and Transformer-Based Framework for Sentiment Analysis of Obesity-Related Social Media Conversations View