Language of Pain
Using NLP and thematic analysis to explore and understand pain descriptions, revealing differences between acute and chronic pain expressions.
Description
The focus of this project is on applying a combination of computational natural language processing (NLP) and qualitative thematic analysis to patients’ descriptions of pain. We are particularly interested in comparing the language used by patients with acute pain with those who have been experiencing chronic pain. Some possible directions for the project can include thematic and semantic analysis. Questions we hope to answer with this project are: (1) how does a chronic patient describe pain?; (2) how does an acute pain patient describe pain?; (3) how do chronic pain and acute pain patients differ in their linguistic expression of pain?; (4) what is the role of metaphors in language around pain?; (5) what is the temporal relationship between pain transitions (from acute to chronic) and language?
Collaborators
- **Research assistants:** Giana-Jochael Amissah (Dartmouth Engineering & NIH STEP UP fellow, 21F-24S)
Date
2021 - Present
Keywords
pain
patients
surveys
ethnography
natural language processing
Team Members
Liz Murnane
Shirin Amouei
