A Survey of Automatic Personality Detection from Texts
| Autor: | Sanja Štajner, Seren Yenikent |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
business.industry
Computer science media_common.quotation_subject computer.software_genre Psycholinguistics Profiling (information science) Personality Social media Artificial intelligence Big Five personality traits Computational linguistics business computer Natural language processing media_common |
| Zdroj: | COLING |
| DOI: | 10.18653/v1/2020.coling-main.553 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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