User and Context Integrated Experience Mining in Online Health Communities
Document Type
Conference Proceeding
Publication Date
10-19-2020
Abstract
Online Health Communities (OHCs) provide a platform for patients, caregivers, and researchers to exchange information and support each other. Identifying information that describes patient health experiences in OHCs has many important applications, such as trustworthy knowledge discovery and recommendation. To identify patient experience description, we observe that the same word may have different strengths as an indicator of patient experiences when written by different users. Based on this observation, we propose a User-Word Context Vector model, that holistically captures linguistic features of text, user information and context information to classify patient experiences in OHCs. Experimental evaluation shows that the proposed method significantly outperforms the existing methods on patient experience classification.
Identifier
85095862717 (Scopus)
ISBN
[9781450368599]
Publication Title
International Conference on Information and Knowledge Management Proceedings
External Full Text Location
https://doi.org/10.1145/3340531.3417410
First Page
3457
Last Page
3460
Grant
UL1TR003017
Fund Ref
National Institutes of Health
Recommended Citation
Shi, Jinhe and Chen, Yi, "User and Context Integrated Experience Mining in Online Health Communities" (2020). Faculty Publications. 4914.
https://digitalcommons.njit.edu/fac_pubs/4914
