A dual contrastive learning-based graph convolutional network with syntax label enhancement for aspect-based sentiment classification
Introduction: Aspect-based sentiment classification is a fine-grained sentiment classification task. State-of-the-art approaches in this field leverage graph neural networks to integrate sentence syntax dependency. However, current methods fail to exploit the data augmentation in encoding and ignore...
| Main Authors: | , , , , , |
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| פורמט: | Article |
| שפה: | English |
| יצא לאור: |
Frontiers Media S.A.
2024-04-01
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| סדרה: | Frontiers in Physics |
| נושאים: | |
| גישה מקוונת: | https://www.frontiersin.org/articles/10.3389/fphy.2024.1336795/full |