Aspect-level sentiment analysis based on semantic heterogeneous graph convolutional network

The deep learning methods based on syntactic dependency tree have achieved great success on Aspect-based Sentiment Analysis (ABSA). However, the accuracy of the dependency parser cannot be determined, which may keep aspect words away from its related opinion words in a dependency tree. Moreover, few...

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Veröffentlicht in:	Frontiers of Computer Science 2023-12, Vol.17 (6), p.176340, Article 176340
Hauptverfasser:	ZENG, Yufei, LI, Zhixin, CHEN, Zhenbin, MA, Huifang
Format:	Artikel
Sprache:	eng
Schlagworte:	affective knowledge Artificial neural networks aspect-based sentiment analysis Computer Science Convolution Data mining deep learning heterogeneous graph convolution network multi-head attention network Nodes Research Article Semantics Sentiment analysis
Online-Zugang:	Volltext
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