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

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1758) Natural Language Processing (774) Insomnia and Sleep Hygiene (199) Infodemiology and Infoveillance (1434) mHealth for Data Collection and Research (1051) Methods and Instruments in Medical Informatics (162)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54321, first published .
Combining Topic Modeling, Sentiment Analysis, and Corpus Linguistics to Analyze Unstructured Web-Based Patient Experience Data: Case Study of Modafinil Experiences

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

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

Authors of this article:

Julia Walsh1 Author Orcid Image ;   Jonathan Cave2 Author Orcid Image ;   Frances Griffiths1, 3 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics

Julia Walsh   1 * , PhD ;   Jonathan Cave   2 * ;   Frances Griffiths   1, 3 *

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

2 Department of Economics, University of Warwick, Coventry, United Kingdom

3 Centre for Health Policy, University of the Witwatersrand, Johannesburg, South Africa

*all authors contributed equally

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