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Predicting neuroticism with open-ended response using natural language processing

Bibliographic Data

ID15526552
AuthorsSeowon Yoon (0000-0003-0980-7065, Korea University), Jihee Jang (Korea University), Gaeun Son (Korea University), Soohyun Park (0000-0002-2824-4264, Korea University), Jueun Hwang (Korea University), Joon Yeon Choeh (0000-0002-6604-5944, Sejong University, corresponding author), Kee‐Hong Choi (0000-0002-7526-3329, Korea University, corresponding author), Kee-Hong Choi
Year2024
Volume15
Pages1437569-1437569
Publication date2024-08-01
Open AccessYes
TypeARTICLE
VenueFrontiers in Psychiatry (JOURNAL)
Journal identifiersISSN: 1664-0640 • E-ISSN: 1664-0640
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2024.1437569
PMID39149156
OpenAlexW4401232046
LanguageEN
References cited53

We identified items that performed better at neuroticism prediction than others. Prediction models developed based on open-ended questions that theoretically aligned with neuroticism exhibited superior predictive performance

Cognitive psychology · Geography · Natural (archaeology · Natural language processing · Neuroticism · Personality · Computer Science · Mental Health Research Topics · Personality Disorders and Psychopathology · Personality Traits and Psychology · Psychology · Social Psychology

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