Combining Topic Modeling, Sentiment Analysis, and Corpus Linguistics to Analyze Unstructured Web-Based Patient Experience Data: Case Study of Modafinil Experiences
BackgroundPatient 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 nongeneraliza...
Saved in:
| Main Authors: | Julia Walsh, Jonathan Cave, Frances Griffiths |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2024-12-01
|
| Series: | Journal of Medical Internet Research |
| Online Access: | https://www.jmir.org/2024/1/e54321 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Analyzing Patient Experience on Weibo: Machine Learning Approach to Topic Modeling and Sentiment Analysis
by: Xiao Chen, et al.
Published: (2024-11-01) -
CORPUS LINGUISTICS RESEARCH: ANALYZE THE USE OF LINKING VERB IN CNN ARTICLES
by: Novita Nurfitria, et al.
Published: (2022-12-01) -
Corpus Linguistics
by: Angeline M. Madongonda, et al.
Published: (2024-05-01) -
Microwave coprocessing of modafinil with Gelucire®: Thermal and compression characteristics
by: Derar Omari, et al.
Published: (2025-01-01) -
Corpus Linguistics at Work
by: Elena Tognini-Bonelli
Published: (2021-03-01)