Natural language processing word dictionaries for personnel selection: Achieving explainable, generalizable, and incremental prediction with low impact when passively scoring narrative application information.
- DOI
- 10.1037/apl0001438
- Published
- 2026-11-05
- Container
- Journal of Applied Psychology
- Publisher
- American Psychological Association (APA)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1037/apl0001438,
title = {Natural language processing word dictionaries for personnel selection: Achieving explainable, generalizable, and incremental prediction with low impact when passively scoring narrative application information.},
author = {Emily D. Campion and Michael A. Campion},
year = {2026},
journal = {Journal of Applied Psychology},
doi = {10.1037/apl0001438},
url = {https://doi.org/10.1037/apl0001438}
}RIS
TY - JOUR TI - Natural language processing word dictionaries for personnel selection: Achieving explainable, generalizable, and incremental prediction with low impact when passively scoring narrative application information. AU - Emily D. Campion AU - Michael A. Campion PY - 2026 JO - Journal of Applied Psychology DO - 10.1037/apl0001438 UR - https://doi.org/10.1037/apl0001438 ER -
APA
Campion, E. D., & Campion, M. A. (2026). Natural language processing word dictionaries for personnel selection: Achieving explainable, generalizable, and incremental prediction with low impact when passively scoring narrative application information.. Journal of Applied Psychology. https://doi.org/10.1037/apl0001438
Source records
- crossref · retrieved 2026-11-07T09:01:35.055Z