Senti-EGCN: An Aspect-Based Sentiment Analysis System Using Edge-Enhanced Graph Convolutional Networks-Reference-Cited by-同舟云学术

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Senti-EGCN: An Aspect-Based Sentiment Analysis System Using Edge-Enhanced Graph Convolutional Networks

Published:2023-08-10 Issue: Volume: Page:
ISSN:
Container-title:2023 10th International Conference on Dependable Systems and Their Applications (DSA)
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Author:

Li Chen¹,Zheng Junjun²,Ju Peng³,Morimoto Yasuhiko³

Affiliation:

1. Nagoya University,Graduate School of Informatics,Chikusa, Nagoya,Japan,464-8602

2. Osaka University,Graduate School of Information Science and Technology,Suita, Osaka,Japan,565-0871

3. Hiroshima University,Graduate School of Engineering,Higashi-Hiroshima, Hiroshima,Japan,739-8527

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10314134/10314123/10314218.pdf?arnumber=10314218

Reference20 articles.

1. SemEval-2014 Task 4: Aspect Based Sentiment Analysis

2. Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks

3. SemEval-2016 Task 5: Aspect Based Sentiment Analysis

4. SemEval-2015 Task 12: Aspect Based Sentiment Analysis

5. Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTM

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