Attention-Enhanced Graph Convolutional Networks for Aspect-Based Sentiment Classification with Multi-Head Attention

Attention-Enhanced Graph Convolutional Networks for Aspect-Based Sentiment Classification with Multi-Head Attention

The purpose of aspect-based sentiment classification is to identify the sentiment polarity of each aspect in a sentence. Recently, due to the introduction of Graph Convolutional Networks (GCN), more and more studies have used sentence structure information to establish the connection between aspects...

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Bibliographic Details
Main Authors: Guangtao Xu, Peiyu Liu, Zhenfang Zhu, Jie Liu, Fuyong Xu
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Applied Sciences
Subjects:
aspect-based sentiment classification
attention mechanism
multi-head attention
graph convolutional network
Online Access:https://www.mdpi.com/2076-3417/11/8/3640

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https://www.mdpi.com/2076-3417/11/8/3640

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