Text-based automatic personality prediction: A bibliographic review

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, video). The principal objective of t...

Full description

Saved in:
Bibliographic Details
Published in:arXiv.org 2022-09
Main Authors: Ali-Reza Feizi-Derakhshi, Mohammad-Reza Feizi-Derakhshi, Ramezani, Majid, Nikzad-Khasmakhi, Narjes, Asgari-Chenaghlu, Meysam, Akan, Taymaz, Ranjbar-Khadivi, Mehrdad, Zafarni-Moattar, Elnaz, Jahanbakhsh-Naghadeh, Zoleikha
Format: Article
Language:English
Subjects:
Deep learning
Natural language processing
Personality
Psychology
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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, 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, multimodal approaches. Also, to achieve a comprehensive comparison, reported results are informed by datasets.
ISSN:2331-8422
DOI:10.48550/arxiv.2110.01186