Persona-E^2: A Human-Grounded Dataset for Personality-Shaped Emotional Responses to Textual Events

Jan 1, 2026ยท
Yuqin Yang
,
Haowu Zhou
,
Haoran Tu
,
Zhiwen Hui
,
Shiqi Yan
,
HaoYang Li
,
Dong She
,
Xianrong Yao
,
Yang Gao
,
Zhanpeng Jin
ยท 0 min read
Abstract
Persona-E^2 introduces a human-grounded dataset for studying how personality shapes emotional responses to textual events. The work supports research on emotion understanding, personalized affective modeling, and human-centered natural language processing by capturing how different people may respond emotionally to the same event through the lens of personality.
Type
Publication
The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), Main Conference (accepted)
ACL Main Conference Dataset Emotion Personality Natural Language Processing