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...

Full description

Saved in:

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
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

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

Similar Items