A Graph Convolutional Network Based on Sentiment Support for Aspect-Level Sentiment Analysis
Aspect-level sentiment analysis is a research focal point for natural language comprehension. An attention mechanism is a very important approach for aspect-level sentiment analysis, but it only fuses sentences from a semantic perspective and ignores grammatical information in the sentences. Graph c...
Main Authors: | Ruiding Gao, Lei Jiang, Ziwei Zou, Yuan Li, Yurong Hu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-03-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/14/7/2738 |
Similar Items
-
Word distance assisted dual graph convolutional networks for accurate and fast aspect-level sentiment analysis
by: Jiajia Jiao, et al.
Published: (2024-02-01) -
Syntactic Structure-Enhanced Dual Graph Convolutional Network for Aspect-Level Sentiment Classification
by: Jiehai Chen, et al.
Published: (2023-09-01) -
Aspect-level Sentiment Classification Based on Interactive Attention and Graph Convolutional Network
by: WANG Yali, ZHANG Fan, YU Zeng, LI Tianrui
Published: (2023-04-01) -
Aspect-Level Sentiment Analysis Based on Syntax-Aware and Graph Convolutional Networks
by: Qun Gu, et al.
Published: (2024-01-01) -
Affective-Knowledge-Enhanced Graph Convolutional Networks for Aspect-Based Sentiment Analysis with Multi-Head Attention
by: Xiaodong Cui, et al.
Published: (2023-03-01)