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Mining the User's Personality With an Attention-Based Label Prompt Method

文献类型：期刊论文

作者Chen, Liping2; Wu, Yilin3; Li, Qiudan2; Song, Yuxuan2,3; Yuan, Chenyu1; Zeng, Daniel2,3
刊名IEEE INTELLIGENT SYSTEMS
出版日期2024-03-01
卷号39期号:2页码:31-39
关键词Semantics Writing Predictive models Artificial intelligence Feature extraction Task analysis Intelligent systems Identification of persons Behavioral sciences
ISSN号1541-1672
DOI10.1109/MIS.2023.3320445
通讯作者Li, Qiudan(qiudan.li@ia.ac.cn)
英文摘要Identifying personality traits from online posts is becoming a hot research topic and often plays an essential role in behavior analysis and recommender systems. Previous studies have adopted deep neural networks or pretrained language models to mine semantic information without considering the prompting role of personality labels and the connection between writing style and personality traits. This paper proposes an attention-based label-prompt method (ABLPM) to address the aforementioned challenges. The ABLPM utilizes label-prompt semantic learning to generate personality representations while integrating writing style into text semantics. Then, the style-enhanced attention mechanism further constructs the deep dynamic interaction among the personality label, text semantics, and writing style. Finally, multiple loss functions optimize the distribution of the generated personality representations. The experimental results with the MyPersonality and topic-oriented social media comment datasets demonstrate the efficacy of the proposed method.
资助项目National Natural Science Foundation of China
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:001214157900008
出版者IEEE COMPUTER SOC
资助机构National Natural Science Foundation of China
源URL[http://ir.ia.ac.cn/handle/173211/57017]  
专题舆论大数据科学与技术应用联合实验室
通讯作者Li, Qiudan
作者单位1.Lanzhou Jiaotong Univ, Sch Elect & Informat Engn, Lanzhou 730070, Peoples R China
2.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Chen, Liping,Wu, Yilin,Li, Qiudan,et al. Mining the User's Personality With an Attention-Based Label Prompt Method[J]. IEEE INTELLIGENT SYSTEMS,2024,39(2):31-39.
APA Chen, Liping,Wu, Yilin,Li, Qiudan,Song, Yuxuan,Yuan, Chenyu,&Zeng, Daniel.(2024).Mining the User's Personality With an Attention-Based Label Prompt Method.IEEE INTELLIGENT SYSTEMS,39(2),31-39.
MLA Chen, Liping,et al."Mining the User's Personality With an Attention-Based Label Prompt Method".IEEE INTELLIGENT SYSTEMS 39.2(2024):31-39.

入库方式： OAI收割

来源：自动化研究所

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