Combining Topic Modeling, Sentiment Analysis, and Corpus Linguistics to Analyze Unstructured Web-Based Patient Experience Data: Case Study of Modafinil Experiences
This study demonstrated the value of combining NLP with linguistic techniques for analyzing large unstructured text datasets. Despite varying opinions, findings were methodologically consistent and challenged existing clinical evidence. This suggests that patient-generated data could potentially provide valuable insights into treatment outcomes, potentially improving clinical understanding and patient care.
Authors
- Frances Griffiths (ORCID: https://orcid.org/0000-0002-4173-1438)
- Julia Walsh (ORCID: https://orcid.org/0000-0002-9787-0349)
- Jonathan Cave (ORCID: https://orcid.org/0000-0002-9879-6507)
Institutions
- University of the Witwatersrand (ZA)
- University of Warwick (GB)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2024-12-11
- DOI
- https://doi.org/10.2196/54321
- Citations
- 10
- Primary Topic
- Computational and Text Analysis Methods
- Type
- article
- Field-Weighted Citation Impact
- 18.94