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

Infodemiology and Infoveillance (1565) Insomnia and Sleep Hygiene (248) Sleep Monitoring, Sleep Quality, Sleep Disorders (272) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1924) Peer-to-Peer Support and Online Communities (800)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58902, first published .
Applying Natural Language Processing Techniques to Map Trends in Insomnia Treatment Terms on the r/Insomnia Subreddit: Infodemiology Study

Applying Natural Language Processing Techniques to Map Trends in Insomnia Treatment Terms on the r/Insomnia Subreddit: Infodemiology Study

Applying Natural Language Processing Techniques to Map Trends in Insomnia Treatment Terms on the r/Insomnia Subreddit: Infodemiology Study

Authors of this article:

Jack A Cummins1 Author Orcid Image ;   Daniel J Gottlieb2, 3, 4 Author Orcid Image ;   Tamar Sofer2, 3, 5, 6 Author Orcid Image ;   Danielle A Wallace3, 7 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Nunes D, Furrer D, Berger S, Cecchi G, Ferreira‐Gomes J, Neto F, de Matos D, Apkarian A, Branco P. Advancing the Prediction and Understanding of Placebo Responses in Chronic Back Pain Using Large Language Models. European Journal of Pain 2026;30(1) View