Learning interactions across sentiment and emotion with graph attention network and position encodings-Reference-Cited by-同舟云学术

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Learning interactions across sentiment and emotion with graph attention network and position encodings

Published:2024-04 Issue: Volume:180 Page:33-40
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Jia Ao^ORCID,Zhang Yazhou^ORCID,Uprety Sagar,Song Dawei^ORCID

Publisher

Elsevier BV

Reference26 articles.

1. Affective interaction: Attentive representation learning for multi-modal sentiment classification;Zhang;ACM Trans. Multimedia Comput. Commun. Appl. (TOMM),2021

2. Sentiment analysis and opinion mining;Liu;Synth. Lect. Hum. Lang. Technol.,2012

3. Emotion, cognition, and behavior;Dolan;Science,2002

4. M3GAT: A multi-modal multi-task interactive graph attention network for conversational sentiment analysis and emotion recognition;Zhang;ACM Trans. Inf. Syst.,2023

5. What does your smile mean? Jointly detecting multi-modal sarcasm and sentiment using quantum probability;Liu,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A shared-private sentiment analysis approach based on cross-modal information interaction;Pattern Recognition Letters;2024-07

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