Sentiment interaction and multi-graph perception with graph convolutional networks for aspect-based sentiment analysis

Qiang Lu; Xia Sun; Richard F. E. Sutcliffe; Yaqiong Xing; Hao Zhang

doi:10.1016/j.knosys.2022.109840

ScienceGate Book Chapters

JOURNAL ARTICLE

Sentiment interaction and multi-graph perception with graph convolutional networks for aspect-based sentiment analysis

Qiang Lu Xia Sun Richard F. E. Sutcliffe Yaqiong Xing Hao Zhang

Year: 2022 Journal: Knowledge-Based Systems Vol: 256 Pages: 109840-109840 Publisher: Elsevier BV

DOI: 10.1016/j.knosys.2022.109840

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Sentiment analysis Adjacency list Graph Sentence Artificial intelligence Construct (python library) Theoretical computer science Convolutional neural network Natural language processing Algorithm

Metrics

Cited By

6.27

FWCI (Field Weighted Citation Impact)

Refs

0.95

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Sentiment Analysis and Opinion Mining

Physical Sciences → Computer Science → Artificial Intelligence

Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Sentiment interaction and multi-graph perception with graph convolutional networks for aspect-based sentiment analysis

Metrics

Citation History

Topics

Related Documents

Aspect-Guided Multi-Graph Convolutional Networks for Aspect-based Sentiment Analysis

Aspect-Based Sentiment Analysis with Multi-aspects Heterogeneous Graph Convolutional Networks

Graph Convolutional Networks for Aspect-Based Sentiment Analysis

Multi-information fusion graph convolutional networks for aspect-based sentiment analysis

Aspect-gated graph convolutional networks for aspect-based sentiment analysis