Using Natural Language Processing and Sentiment Analysis to Augment Traditional User-Centered Design: Development and Usability Study
- DOI
- 10.2196/16862
- Published
- 2020-08-07
- Container
- JMIR mHealth and uHealth
- Publisher
- JMIR Publications Inc.
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.2196/16862,
title = {Using Natural Language Processing and Sentiment Analysis to Augment Traditional User-Centered Design: Development and Usability Study},
author = {Curtis Lee Petersen and Ryan Halter and David Kotz and Lorie Loeb and Summer Cook and Dawna Pidgeon and Brock C Christensen and John A Batsis},
year = {2020},
journal = {JMIR mHealth and uHealth},
doi = {10.2196/16862},
url = {https://doi.org/10.2196/16862}
}RIS
TY - JOUR TI - Using Natural Language Processing and Sentiment Analysis to Augment Traditional User-Centered Design: Development and Usability Study AU - Curtis Lee Petersen AU - Ryan Halter AU - David Kotz AU - Lorie Loeb AU - Summer Cook AU - Dawna Pidgeon AU - Brock C Christensen AU - John A Batsis PY - 2020 JO - JMIR mHealth and uHealth DO - 10.2196/16862 UR - https://doi.org/10.2196/16862 ER -
APA
Petersen, C. L., Halter, R., Kotz, D., Loeb, L., Cook, S., Pidgeon, D., Christensen, B. C., & Batsis, J. A. (2020). Using Natural Language Processing and Sentiment Analysis to Augment Traditional User-Centered Design: Development and Usability Study. JMIR mHealth and uHealth. https://doi.org/10.2196/16862
Source records
- crossref · retrieved 2026-09-25T00:26:03.259Z