Phrase dependency relational graph attention network for Aspect-based Sentiment Analysis-Reference-Cited by-同舟云学术

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Phrase dependency relational graph attention network for Aspect-based Sentiment Analysis

Published:2022-01 Issue: Volume:236 Page:107736
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Wu Haiyan^ORCID,Zhang Zhiqiang^ORCID,Shi Shaoyun^ORCID,Wu Qingfeng^ORCID,Song Haiyu^ORCID

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference82 articles.

1. Syntax-aware graph attention network for aspect-level sentiment classification;Huang,2020

2. Affective computing and sentiment analysis;Cambria,2017

3. Information fusion for affective computing and sentiment analysis;Hussain;Inf. Fusion,2021

4. NRC-Canada-2014: Detecting aspects and sentiment in customer reviews;Kiritchenko,2014

5. Sentiment analysis of movie reviews: A new feature-based heuristic for aspect-level sentiment classification;Singh,2013

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3. Graph Attention Networks: A Comprehensive Review of Methods and Applications;Future Internet;2024-09-03

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