Published on in Vol 22, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18350, first published .
Social Media Text Mining Framework for Drug Abuse: Development and Validation Study With an Opioid Crisis Case Analysis

Social Media Text Mining Framework for Drug Abuse: Development and Validation Study With an Opioid Crisis Case Analysis

Social Media Text Mining Framework for Drug Abuse: Development and Validation Study With an Opioid Crisis Case Analysis

Authors of this article:

Tareq Nasralah 1 Author Orcid Image ;   Omar El-Gayar 2 Author Orcid Image ;   Yong Wang 3 Author Orcid Image

Journals

  1. Singh T, Roberts K, Cohen T, Cobb N, Wang J, Fujimoto K, Myneni S. Social Media as a Research Tool (SMaaRT) for Risky Behavior Analytics: Methodological Review. JMIR Public Health and Surveillance 2020;6(4):e21660 View
  2. Li Z, Du X, Liao X, Jiang X, Champagne-Langabeer T. Demystifying the Dark Web Opioid Trade: Content Analysis on Anonymous Market Listings and Forum Posts. Journal of Medical Internet Research 2021;23(2):e24486 View
  3. Rosário-Ferreira N, Marques-Pereira C, Pires M, Ramalhão D, Pereira N, Guimarães V, Santos Costa V, Moreira I. The Treasury Chest of Text Mining: Piling Available Resources for Powerful Biomedical Text Mining. BioChem 2021;1(2):60 View