Word distance assisted dual graph convolutional networks for accurate and fast aspect-level sentiment analysis

Word distance assisted dual graph convolutional networks for accurate and fast aspect-level sentiment analysis

Aspect-level sentiment analysis can provide a fine-grain sentiment classification for inferring the sentiment polarity of specific aspects. Graph convolutional network (GCN) becomes increasingly popular because its graph structure can characterize the words' correlation for extracting more sent...

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Bibliographic Details
Main Authors: Jiajia Jiao, Haijie Wang, Ruirui Shen, Zhuo Lu
Format: Article
Language:English
Published: AIMS Press 2024-02-01
Series:Mathematical Biosciences and Engineering
Subjects:
aspect-level sentiment analysis
word distance
sentiment knowledge
syntactic dependency tree
graph convolutional networks
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2024154?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2024154?viewType=HTML

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