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
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