Double embedding and bidirectional sentiment dependence detector for aspect sentiment triplet extraction-Reference-Cited by-同舟云学术

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Double embedding and bidirectional sentiment dependence detector for aspect sentiment triplet extraction

Published:2022-10 Issue: Volume:253 Page:109506
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Dai Dawei,Chen Tao,Xia Shuyin,Wang Guoyin,Chen Zizhong

Funder

Postdoctoral Research Foundation of China

Key Technologies Research and Development Program

China Postdoctoral Science Foundation

National Key Research and Development Program of China

Natural Science Foundation Project of Chongqing

Natural Science Foundation of Chongqing

Publisher

Elsevier BV

Subject

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

Reference58 articles.

1. Affective computing and sentiment analysis;Cambria;IEEE Intell. Syst.,2016

2. Computational intelligence for affective computing and sentiment analysis [guest editorial];Cambria;IEEE Comput. Intell. Mag.,2019

3. Survey on aspect-level sentiment analysis;Schouten;IEEE Trans. Knowl. Data Eng.,2016

4. Aspect based fine-grained sentiment analysis for online reviews;Tang;Inform. Sci.,2019

5. Deep learning for aspect-level sentiment classification: Survey, vision and challenges;Zhou;IEEE Access,2019

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1. Dual-enhanced generative model with graph attention network and contrastive learning for aspect sentiment triplet extraction;Knowledge-Based Systems;2024-10

2. A dual relation-encoder network for aspect sentiment triplet extraction;Neurocomputing;2024-09

3. Span-based semantic syntactic dual enhancement for aspect sentiment triplet extraction;Journal of Intelligent Information Systems;2024-08-22

4. A semantically enhanced dual encoder for aspect sentiment triplet extraction;Neurocomputing;2023-12

5. Dual graph convolutional networks integrating affective knowledge and position information for aspect sentiment triplet extraction;Frontiers in Neurorobotics;2023-08-14

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