Why Is MBTI Personality Detection from Texts a Difficult Task?

Autor:	Seren Yenikent, Sanja Štajner
Rok vydání:	2021
Předmět:	Annotation Computer science media_common.quotation_subject Personality Baseline (configuration management) media_common Task (project management) Cognitive psychology
Zdroj:	EACL Scopus-Elsevier
DOI:	10.18653/v1/2021.eacl-main.312
Popis:	Automatic detection of the four MBTI personality dimensions from texts has recently attracted noticeable attention from the natural language processing and computational linguistic communities. Despite the large collections of Twitter data for training, the best systems rarely even outperform the majority-class baseline. In this paper, we discuss the theoretical reasons for such low results and present the insights from an annotation study that further shed the light on this issue.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3ebfa1e77470b7c0acebb170198ce74 https://doi.org/10.18653/v1/2021.eacl-main.312 Zobrazit plný text záznamu