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Triple dimensional psychology knowledge encouraging graph attention networks to exploit aspect-based sentiment analysis.

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第一作者： Xuefeng,Shi

第一单位： School of Computer Science and Artificial Intelligence, Nantong University, Seyuan Road, Nantong, 226019, Jiangsu, China.

作者： Xuefeng,Shi ^[1] ; Weiping,Ding ^[2] ; Min,Hu ^[3] ; Xin,Kang ^[4] ; Fuji,Ren ^[5]

作者单位： School of Computer Science and Artificial Intelligence, Nantong University, Seyuan Road, Nantong, 226019, Jiangsu, China. ^[1] School of Computer Science and Artificial Intelligence, Nantong University, Seyuan Road, Nantong, 226019, Jiangsu, China. ding.wp@ntu.edu.cn. ^[2] School of Computer and Information, Hefei University of Technology, Danxia Road, Hefei, 230601, Anhui, China.;Anhui Province Key Laboratory of Affective, Hefei University of Technology, Danxia Road, Hefei, 230601, Anhui, China. ^[3] Department of Computer Science, Tokushima University, 2-24 Shin kura-cho, Tokushima, Tokushima, 770-8501, Japan. ^[4] Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Guanlan Road, Shenzhen, 518000, Guangdong, China. renfuji@uestc.edu.cn.;School of Computer Science and Engineering, University of Electronic Science and Technology of China, Xiyuan Avenue, Chengdu, 611731, Sichuan, China. renfuji@uestc.edu.cn. ^[5]

关键词 Aspect-based sentiment analysis External knowledge Graph attention networks Jensen–Shannon divergence Psychology knowledge

DOI 10.1038/s41598-025-08914-2

PMID 40715179

发布时间 2025-07-31

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准确一般字义偏差语意偏离译文作用小提交