文章基本信息

标题：Why IsMBTIPersonality Detection from Texts a Difficult Task?
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作者：Sanja Stajner ; Seren Yenikent
期刊名称：Conference on European Chapter of the Association for Computational Linguistics (EACL)
出版年度：2021
卷号：2021
页码：3580-3589
DOI：10.18653/v1/2021.eacl-main.312
语种：English
出版社：ACL Anthology
摘要：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.