Aspect-Based Sentiment Analysis Through Graph Convolutional Networks and Joint Task Learning

Aspect-Based Sentiment Analysis Through Graph Convolutional Networks and Joint Task Learning

Aspect-based sentiment analysis (ABSA) through joint task learning aims to simultaneously identify aspect terms and predict their sentiment polarities. However, existing methods face two major challenges: (1) Most existing studies focus on the sentiment polarity classification task, ignoring the cri...

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Bibliographic Details
Main Authors: Hongyu Han, Shengjie Wang, Baojun Qiao, Lanxue Dang, Xiaomei Zou, Hui Xue, Yingqi Wang
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Information
Subjects:
graph convolutional network
joint task learning
aspect term extraction
sentiment polarity classification
attention mechanism
aspect-based sentiment analysis
Online Access:https://www.mdpi.com/2078-2489/16/3/201
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