首页> Neural networks : the official journal of the International Neural Network Society> Aspect-based sentiment analysis based on multi-granularity graph convolutional network.

Aspect-based sentiment analysis based on multi-granularity graph convolutional network.

导出 LinkOut

翻译打印收藏纠错

第一作者： Yanfen,Cheng

第一单位： School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, 430070, China. Electronic address: chengyanfen@whut.edu.cn.

作者： Yanfen,Cheng ^[1] ; Minghui,Yuan ^[2] ; Fan,He ^[3] ; Xun,Shao ^[4] ; Jiajun,Wu ^[5]

作者单位： School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, 430070, China. Electronic address: chengyanfen@whut.edu.cn. ^[1] School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, 430070, China. Electronic address: 346849@whut.edu.cn. ^[2] School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, 430070, China. Electronic address: hefan@whut.edu.cn. ^[3] Department of Electrical and Electronic Information Engineering, Toyohashi University of Technology, Japan. Electronic address: x-shao@ieee.org. ^[4] School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, 430070, China. Electronic address: 2470759014@qq.com. ^[5]

关键词 Aspect-based sentiment analysis Constituency tree Dependency tree Graph convolutional network Natural language processing

医学主题词语义学(Semantics);人类(Humans)

DOI 10.1016/j.neunet.2025.107864

PMID 40720919

发布时间 2025-11-22

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交