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

Infoveillance and Social Listening (310) Infodemiology and Infoveillance (1552) Natural Language Processing (897) Generative Language Models Including ChatGPT (675) Opioid and Related Substance Misuse (198)

Published on in Vol 5 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77279, first published .
Monitoring Opioid-Related Social Media Chatter Using Natural Language Processing and Large Language Models: Temporal Analysis

Monitoring Opioid-Related Social Media Chatter Using Natural Language Processing and Large Language Models: Temporal Analysis

Monitoring Opioid-Related Social Media Chatter Using Natural Language Processing and Large Language Models: Temporal Analysis

Authors of this article:

Grigori Sidorov1 Author Orcid Image ;   Muhammad Ahmad1 Author Orcid Image ;   Pierpaolo Basile2 Author Orcid Image ;   Muhammad Waqas3 Author Orcid Image ;   Rita Orji4 Author Orcid Image ;   Ildar Batyrshin1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Grigori Sidorov   1 , Prof Dr ;   Muhammad Ahmad   1 , MPhil ;   Pierpaolo Basile   2 , Prof Dr ;   Muhammad Waqas   3 , MSc ;   Rita Orji   4 , Prof Dr ;   Ildar Batyrshin   1 , Prof Dr

1 Instituto Politécnico Nacional, Centro de Investigación en Computación, Mexico City, Mexico

2 Dipartimento di Informatica, Università degli Studi di Bari Aldo Moro, Bari, Italy

3 Department of Software Engineering, The Islamia University of Bahawalpur, Bahawalpur, Pakistan

4 Faculty of Computer Science, Dalhousie University, Halifax, NS, Canada

Corresponding Author:

  • Muhammad Ahmad, MPhil
  • Instituto Politécnico Nacional, Centro de Investigación en Computación
  • Av. Juan de Dios Bátiz S/N, Nueva Industrial Vallejo, Gustavo A. Madero
  • Mexico City 07738
  • Mexico
  • Phone: 52 5534859107
  • Email: mahmad2024@cic.ipn.mx