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

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1954) Natural Language Processing (943) Insomnia and Sleep Hygiene (260) Infodemiology and Infoveillance (1588) mHealth for Data Collection and Research (1241) Methods and Instruments in Medical Informatics (209)

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 (9) Tweetations (4) Metrics

Journals

  1. Al-Imam A, Lora R, Motyka M, Marletta E, Vezzaro M, Moczko J, Younus M, Michalak M. Opinion Mining of Erowid’s Experience Reports on LSD and Psilocybin-Containing Mushrooms. Drug Safety 2025;48(5):559 View
  2. Wu M, Wang K, Huang H, Wu X, Liu Z, Li S. From Big Data to AI-Driven Decisions in Obstructive Sleep Apnea: A Narrative Review Integrating the DDPP Framework. Nature and Science of Sleep 2025;Volume 17:1863 View
  3. Warsito B, Endro Suseno J, Arifudin A. Embedding and Topic Modeling Techniques for Short Text Analysis on Social Media: A Systematic Literature Review. Data and Metadata 2025;4:1168 View
  4. Zhuang W, Zhu J, Bao Y, Zeng Q, Tan F, Li X, Liu C, Lee C. LT-CNN: an integrated deep learning method for enhancing topic recognition in digital healthcare research trend discovering. Advanced Engineering Informatics 2026;69:104006 View
  5. Joanna Kaźmierczak , Anna Mandecka , Kornela Kotucha-Cyl , Weronika Komala , Natalia Guzik , Joanna Gerlach , Dorota Plechawska , Karolina Witek , Marta Nowocień . SOCIAL DETERMINANTS OF ADHERENCE TO DIETARY AND PHYSICAL ACTIVITY RECOMMENDATIONS AMONG ADULTS WITH OBESITY - A COMPREHENSIVE LITERATURE REVIEW (2010–2025). International Journal of Innovative Technologies in Social Science 2025;2(4(48)) View
  6. Lei C, Chen Z, Ma C, Xie L, Wu D, Chen J, Chen J. Optimization of potential targets for antidepressant Chinese medicines: AI and multi-omics methods. Chinese Medicine 2026;21(1) View
  7. Mageshwari V, Shrijith J. Linguistic-Neural Hybrid Architectures for Semantic Search: Optimizing Recall With POS Filtering and Query Expansion. IEEE Access 2026;14:28564 View
  8. Nazir M, Bilal M, Shongwe S. Sentiment analysis for code-mixed low-resource languages: a systematic review of approaches, techniques, applications, challenges, and future directions. Social Network Analysis and Mining 2026 View

Conference Proceedings

  1. Guo D, Luo Z, Bouguila N, Fan W. 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). BiovMNVTM: A Geometry-Aware Neural Topic Model for Biomedical Text Analysis via von Mises–Fisher Mixtures View