Citation

Yang L, Li S, Luo X, Xu B, Geng Y, Zeng Z, Zhang F, Lin H. Soft Comput. 2022; 26(18): 9587-9605.

Copyright

(Copyright © 2022, Holtzbrinck Springer Nature Publishing Group)

DOI

10.1007/s00500-022-06786-6

PMID

unavailable

Abstract

Personality is a set of stable and tendentious behaviors, thoughts and emotions. How to measure personality more conveniently and accurately has always been a problem for scholars in related fields. With the rapid development of computer technology and the widespread popularity of social media in recent years, the research of computational personality has attracted wide attention of researchers in Computational Linguistics and psychology. Various methods, from statistical methods in psychology to machine learning and then to deep learning, have been proposed to deal with different areas of computational personality. In this paper, we first summarize the research framework of computational personality, and then review the current research progress of computational personality from the aspects of personality prediction, depression detection, suicide detection and happiness assessment, and provide the corresponding research resources for reference. Finally, we provide some possible research directions. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Language: en

Keywords

Social media; Suicide detection; Deep learning; Depression detection; 'current; Computational personality; Computer technology; Happiness assessment; Personality prediction; Personality predictions; Research frameworks