现代电子技术2024，Vol.47Issue(8)：149-154,6.DOI:10.16652/j.issn.1004-373x.2024.08.024
联合con-GRU与ATGAT模型的情感分析三元组方法
A triple method for emotional analysis using con-GRU and ATGAT models
毕晓杰 1李卫疆1
作者信息
- 1. 昆明理工大学 信息工程与自动化学院,云南 昆明 650500||昆明理工大学 云南省人工智能重点实验室,云南 昆明 650500
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摘要
Abstract
The emotional analysis triplet task is a hot research topic in emotional analysis tasks,with the aim of combining aspect words,emotional words,and emotional polarity into triplets.Graph neural networks are an effective means of extracting sentence features,but they cannot pay attention to the relationships between nodes during the process,and the allocation of attention weights is unreasonable.A GAT model joint bidirectional adversarial GRU and based on syntactic attention mechanism is proposed.The sentence vectors from dependency syntax trees and the ATGAT model are used to extract sentence sentiment words,and the sentences are represented by syn-str update vectors.The experimental results on three publicly available English datasets show that the proposed model has better performance compared with the other baseline models.The ablation and comparative experiments also demonstrate that the proposed network model components can more effectively fuse syntactic information with the original sentence vector than other components.关键词
情感分析/三元组/双向对抗GRU/GAT模型/句法注意力机制/依存句法树/特征提取Key words
emotional analysis/triple/bidirectional adversarial GRU/GAT model/syntactic attention mechanism/dependency syntax tree/feature extraction分类
信息技术与安全科学引用本文复制引用
毕晓杰,李卫疆..联合con-GRU与ATGAT模型的情感分析三元组方法[J].现代电子技术,2024,47(8):149-154,6.
