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Text-based automatic personality prediction: A bibliographic review
- Publication Year :
- 2021
-
Abstract
- 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.<br />Comment: This is a preprint of an article published in "Journal of Computational Social Science". The final authenticated version is available online at: https://doi.org/10.1007/s42001-022-00178-4
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.2110.01186
- Document Type :
- Working Paper
- Full Text :
- https://doi.org/10.1007/s42001-022-00178-4