Synthetic Sentiment Cue Enhanced Graph Relation-Attention Network for Aspect-Level Sentiment Analysis

Synthetic Sentiment Cue Enhanced Graph Relation-Attention Network for Aspect-Level Sentiment Analysis

Aspect-level Sentiment Analysis (ASA) constitutes a critical task in natural language processing, aimed at detecting and classifying sentiment polarities associated with specific aspects in textual data. While conventional approaches often fall short in capturing fine-grained sentiment distinctions...

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Bibliographic Details
Main Authors: Hongwei Tang, Haining Yan, Ran Song
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Sentiment analysis
data augmentation
graph neural networks
Online Access:https://ieeexplore.ieee.org/document/11003081/
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https://ieeexplore.ieee.org/document/11003081/

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