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Predicting personality and psychological distress using natural language processing: a study protocol - 2022


Predicting personality and psychological distress using NLP | S-Logix

Research Area:  Machine Learning

Abstract:

Self-report multiple choice questionnaires have been widely utilized to quantitatively measure ones personality and psychological constructs. Despite several strengths (e.g., brevity and utility), self-report multiple choice questionnaires have considerable limitations in nature. With the rise of machine learning (ML) and Natural language processing (NLP), researchers in the field of psychology are widely adopting NLP to assess psychological construct to predict human behaviors. However, there is a lack of connections between the work being performed in computer science and that of psychology due to small data sets and unvalidated modeling practices.

Keywords:  
psychological
brevity
utility
machine learning
natural language processing

Author(s) Name:  Jihee Jang, Seowon YoonSeowon Yoon, Gaeun SonGaeun Son, Minjung KangMinjung Kang, Joon Yeon Choeh Joon Yeon Choeh, Kee-Hong Choi, Kee-Hong Choi

Journal name:  Frontiers in Psychology

Conferrence name:  

Publisher name:  Frontiers

DOI:  10.3389/fpsyg.2022.865541

Volume Information:  Volume 13