Graph convolutional network with target-attention for aspect-based sentiment analysis

Xiajiong Shen; Huijing Yang; Yiru Han; Xianjin Shi

doi:10.1117/12.3004735

9 October 2023 Graph convolutional network with target-attention for aspect-based sentiment analysis

Xiajiong Shen, Huijing Yang, Yiru Han, Xianjin Shi

Proceedings Volume 12791, Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023); 1279123 (2023) https://doi.org/10.1117/12.3004735
Event: Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023), 2023, Qingdao, SD, China

Abstract

Aspect Sentiment Classification (ASC) is aimed at determining the sentiment disposition towards a specific target. Most previous approaches use RNN and attention mechanisms to model context and target words. However, these approaches ignore the syntactic relationship between the aspect terms and the corresponding context words, resulting in the models wrongly focusing on syntax-independent words. To solve this problem, we propose an attention fusion model based on a Graph Convolutional Network (GCN) that considers syntactic and semantic information of sentences as well as captures more comprehensive information using a Feature Interactive Learning mechanism. We also apply the Pre-training model Bert to this task and obtain new state-of-the-art results. Experiments and analysis demonstrate the efficacy of the model.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiajiong Shen, Huijing Yang, Yiru Han, and Xianjin Shi "Graph convolutional network with target-attention for aspect-based sentiment analysis", Proc. SPIE 12791, Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023), 1279123 (9 October 2023); https://doi.org/10.1117/12.3004735

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available