PsyAttention: Psychological Attention Model for Personality Detection

Baohua Zhang, Yongyi Huang, Wenyao Cui, Huaping Zhang*, Jianyun Shang

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Work on personality detection has tended to incorporate psychological features from different personality models, such as BigFive and MBTI. There are more than 900 psychological features, each of which is helpful for personality detection. However, when used in combination, the application of different calculation standards among these features may result in interference between features calculated using distinct systems, thereby introducing noise and reducing performance. This paper adapts different psychological models in the proposed PsyAttention for personality detection, which can effectively encode psychological features, reducing their number by 85%. In experiments on the BigFive and MBTI models, PysAttention achieved average accuracy of 65.66% and 86.30%, respectively, outperforming state-of-the-art methods, indicating that it is effective at encoding psychological features.

源语言英语
主期刊名Findings of the Association for Computational Linguistics
主期刊副标题EMNLP 2023
出版商Association for Computational Linguistics (ACL)
3398-3411
页数14
ISBN(电子版)9798891760615
出版状态已出版 - 2023
活动2023 Findings of the Association for Computational Linguistics: EMNLP 2023 - Singapore, 新加坡
期限: 6 12月 202310 12月 2023

出版系列

姓名Findings of the Association for Computational Linguistics: EMNLP 2023

会议

会议2023 Findings of the Association for Computational Linguistics: EMNLP 2023
国家/地区新加坡
Singapore
时期6/12/2310/12/23

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