GP-GCN: Global features of orthogonal projection and local dependency fused graph convolutional networks for aspect-level sentiment classification

GP-GCN: Global features of orthogonal projection and local dependency fused graph convolutional networks for aspect-level sentiment classification

Aspect-level sentiment classification, a significant task of fine-grained sentiment analysis, aims to identify the sentimental information expressed in each aspect of a given sentence The existing methods combine global features and local structures to  obtain good classification results. However, t...

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Bibliographic Details
Main Authors: Subo Wei, Guangli Zhu, Zhengyan Sun, Xiaoqing Li, TienHsiung Weng
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:Connection Science
Subjects:
aspect-based sentiment classification
bert
gcn
attention
Online Access:http://dx.doi.org/10.1080/09540091.2022.2080183
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http://dx.doi.org/10.1080/09540091.2022.2080183

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