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

Infoveillance and Social Listening (262) Machine Learning (1780) Natural Language Processing (811) Substance Abuse (475) Opioid and Related Substance Misuse (177) Generative Language Models Including ChatGPT (525) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1804)

Published on in Vol 5 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70525, first published .
Sentiment Analysis Using a Large Language Model–Based Approach to Detect Opioids Mixed With Other Substances Via Social Media: Method Development and Validation

Sentiment Analysis Using a Large Language Model–Based Approach to Detect Opioids Mixed With Other Substances Via Social Media: Method Development and Validation

Sentiment Analysis Using a Large Language Model–Based Approach to Detect Opioids Mixed With Other Substances Via Social Media: Method Development and Validation

Authors of this article:

Muhammad Ahmad1 Author Orcid Image ;   Ildar Batyrshin1 Author Orcid Image ;   Grigori Sidorov1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Muhammad Ahmad   1 , MPhil ;   Ildar Batyrshin   1 , PhD ;   Grigori Sidorov   1 , PhD

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

Corresponding Author:

  • Grigori Sidorov, PhD
  • Centro de Investigación en Computación
  • Instituto Politécnico Nacional
  • Mexico City 07738
  • Mexico
  • Phone: 52 5591887293
  • Email: Sidorov@cic.ipn.mx