{"ID":2875511,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2509.02450","arxiv_id":"2509.02450","title":"EmoPerso: Enhancing Personality Detection with Self-Supervised Emotion-Aware Modelling","abstract":"Personality detection from text is commonly performed by analysing users' social media posts. However, existing methods heavily rely on large-scale annotated datasets, making it challenging to obtain high-quality personality labels. Moreover, most studies treat emotion and personality as independent variables, overlooking their interactions. In this paper, we propose a novel self-supervised framework, EmoPerso, which improves personality detection through emotion-aware modelling. EmoPerso first leverages generative mechanisms for synthetic data augmentation and rich representation learning. It then extracts pseudo-labeled emotion features and jointly optimizes them with personality prediction via multi-task learning. A cross-attention module is employed to capture fine-grained interactions between personality traits and the inferred emotional representations. To further refine relational reasoning, EmoPerso adopts a self-taught strategy to enhance the model's reasoning capabilities iteratively. Extensive experiments on two benchmark datasets demonstrate that EmoPerso surpasses state-of-the-art models. The source code is available at https://github.com/slz0925/EmoPerso.","short_abstract":"Personality detection from text is commonly performed by analysing users' social media posts. However, existing methods heavily rely on large-scale annotated datasets, making it challenging to obtain high-quality personality labels. Moreover, most studies treat emotion and personality as independent variables, overlook...","url_abs":"https://arxiv.org/abs/2509.02450","url_pdf":"https://arxiv.org/pdf/2509.02450v1","authors":"[\"Lingzhi Shen\",\"Xiaohao Cai\",\"Yunfei Long\",\"Imran Razzak\",\"Guanming Chen\",\"Shoaib Jameel\"]","published":"2025-09-02T15:57:26Z","proceeding":"cs.CL","tasks":"[\"cs.CL\",\"cs.LG\"]","methods":"[]","has_code":false,"code_links":[{"ID":610218,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2875511,"paper_url":"https://arxiv.org/abs/2509.02450","paper_title":"EmoPerso: Enhancing Personality Detection with Self-Supervised Emotion-Aware Modelling","repo_url":"https://github.com/slz0925/EmoPerso","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}