Aspect-Dependent Heterogeneous Graph Convolutional Network for Aspect-Level Sentiment Analysis
Author:
Affiliation:
1. Harbin Engineering University,Computer Science and Technology,Harbin,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9891857/9889787/09892138.pdf?arnumber=9892138
Reference26 articles.
1. Sentiment Classification Using Word Sub-sequences and Dependency Sub-trees
2. Examining the role of linguistic knowledge sources in the automatic identification and classification of reviews
3. Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification
4. Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling
5. PhraseRNN: Phrase Recursive Neural Network for Aspect-based Sentiment Analysis
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1. A novel automated framework for fine-grained sentiment analysis of application reviews using deep neural networks;Automated Software Engineering;2024-05-16
2. Knowledge-Guided Heterogeneous Graph Convolutional Network for Aspect-Based Sentiment Analysis;Electronics;2024-01-26
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