| نویسندگان | Ali-Reza Feizi-Derakhshi, Mohammad-Reza Feizi-Derakhshi, Majid Ramezani, Narjes Nikzad-Khasmakhi, Meysam Asgari-Chenaghlu, Taymaz Akan, Mehrdad Ranjbar-Khadivi, Elnaz Zafarni-Moattar, Zoleikha Jahanbakhsh-Naghadeh |
|---|---|
| نشریه | Journal of Computational Social Science |
| نوع مقاله | Full Paper |
| تاریخ انتشار | 2022-11-1 |
| رتبه نشریه | ISI (WOS) |
| نوع نشریه | چاپی |
| کشور محل چاپ | آلمان |
چکیده مقاله
Personality detection is an old topic in psychology and automatic personality prediction (or perception) (APP) is the automated (computationally) forecasting of the personality on different types of human generated/exchanged contents (such as text, speech, image, and video). The principal objective of this study is to offer a shallow (overall) review of natural language processing approaches on APP since 2010. With the advent of deep learning and following it transfer-learning and pre-trained model in NLP, APP research area has been a hot topic, so in this review, methods are categorized into three: pre-trained independent, pre-trained model based, and multimodal approaches. In addition, to achieve a comprehensive comparison, reported results are informed by datasets.