Aspect-Based Sentiment Analysis With Heterogeneous Graph Neural Network
Author:
Affiliation:
1. School of Automation Science and Engineering, Xi’an Jiaotong University, Xi’an, China
2. Department of Engineering, University of Massachusetts, Boston, MA, USA
3. School of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Innovation Research Team of Ministry of Education
China Knowledge Centre for Engineering Science and Technology
Natural Science Basic Research Plan in Shaanxi Province of China
Ministry of Education-China Mobile Communication Corporation (MoE-CMCC) “Artificial Intelligence”
Chinese Academy of Engineering
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation
Link
http://xplorestaging.ieee.org/ielx7/6570650/10032687/09718591.pdf?arnumber=9718591
Reference32 articles.
1. Aspect-Specific Heterogeneous Graph Convolutional Network for Aspect-Based Sentiment Classification
2. Heterogeneous Graph Neural Networks to Predict What Happen Next
3. A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis
4. Utilizing BERT for aspect-based sentiment analysis via constructing auxiliary sentence;sun;arXiv 1903 09588,2019
5. Adam: A method for stochastic optimization;kingma;arXiv 1412 6980,2014
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