Combining Topic Modeling, Sentiment Analysis, and Corpus Linguistics to Analyze Unstructured Web-Based Patient Experience Data: Case Study of Modafinil Experiences.

Journal: Journal of medical Internet research

Published Date: Dec 11, 2024

Abstract

BACKGROUND: Patient experience data from social media offer patient-centered perspectives on disease, treatments, and health service delivery. Current guidelines typically rely on systematic reviews, while qualitative health studies are often seen as anecdotal and nongeneralizable. This study explores combining personal health experiences from multiple sources to create generalizable evidence.

Authors

Julia Walsh

Warwick Medical School, University of Warwick, Coventry, United Kingdom.
Jonathan Cave

Department of Economics, University of Warwick, Coventry, United Kingdom.
Frances Griffiths

Warwick Medical School, University of Warwick, Coventry, United Kingdom.

Keywords

Data Mining Humans Internet Linguistics Modafinil Natural Language Processing Social Media

External Resources

View on PubMed Access via DOI PubMed (39662896)

Combining Topic Modeling, Sentiment Analysis, and Corpus Linguistics to Analyze Unstructured Web-Based Patient Experience Data: Case Study of Modafinil Experiences.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals