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

Infoveillance and Social Listening (305) Machine Learning (2032) Natural Language Processing (893) Substance Abuse (522) Opioid and Related Substance Misuse (197) Generative Language Models Including ChatGPT (670) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1897)

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 (2) Tweetations Metrics

Journals

  1. Usman M, Ahmad M, Sidorov G, Gelbukh I, Tellez R. A Large Language Model-Based Approach for Multilingual Hate Speech Detection on Social Media. Computers 2025;14(7):279 View

Books/Policy Documents

  1. Ahmad M, Ullah F, Habiba U, Zamir M, Batyrshin I, Gelbukh A, Sidorov G. Advances in Soft Computing. View