Semantic Scholar Open Access 2020 33 sitasi

A Survey of Automatic Personality Detection from Texts

Sanja Štajner Seren Yenikent

Lihat Sumber DOI

Abstrak

Personality profiling has long been used in psychology to predict life outcomes. Recently, automatic detection of personality traits from written messages has gained significant attention in computational linguistics and natural language processing communities, due to its applicability in various fields. In this survey, we show the trajectory of research towards automatic personality detection from purely psychology approaches, through psycholinguistics, to the recent purely natural language processing approaches on large datasets automatically extracted from social media. We point out what has been gained and what lost during that trajectory, and show what can be realistic expectations in the field.

Topik & Kata Kunci

Computer Science

Penulis (2)

Sanja Štajner

Seren Yenikent

Format Sitasi

APA MLA BibTeX

Štajner, S., Yenikent, S. (2020). A Survey of Automatic Personality Detection from Texts. https://doi.org/10.18653/V1/2020.COLING-MAIN.553

Akses Cepat

Lihat di Sumber doi.org/10.18653/V1/2020.COLING-MAIN.553

Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Total Sitasi: 33×
Sumber Database: Semantic Scholar
DOI: 10.18653/V1/2020.COLING-MAIN.553
Akses: Open Access ✓