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

Theme Issue 2022: Reproductive Informatics (52) Obstetrics, Gynecology, and Reproductive Medicine (223) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1630) Infodemiology and Infoveillance (1337) Peer-to-Peer Support and Online Communities (633) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1035)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45381, first published .
Users’ Concerns About Endometriosis on Social Media: Sentiment Analysis and Topic Modeling Study

Users’ Concerns About Endometriosis on Social Media: Sentiment Analysis and Topic Modeling Study

Users’ Concerns About Endometriosis on Social Media: Sentiment Analysis and Topic Modeling Study

Authors of this article:

Rahul Goel1 Author Orcid Image ;   Vijayachitra Modhukur2, 3 Author Orcid Image ;   Katrin Täär4 Author Orcid Image ;   Andres Salumets2, 3, 5, 6 Author Orcid Image ;   Rajesh Sharma1 Author Orcid Image ;   Maire Peters2, 3 Author Orcid Image
Article Authors Cited by (1) Tweetations (6) Metrics

Journals

  1. Oliveira J, Eskandar K, Kar E, de Oliveira F, Filho A. Understanding AI’s Role in Endometriosis Patient Education and Evaluating Its Information and Accuracy: Systematic Review. JMIR AI 2024;3:e64593 View