Multi-grained fusion network with self-distillation for aspect-based multimodal sentiment analysis-Reference-Cited by-同舟云学术

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Multi-grained fusion network with self-distillation for aspect-based multimodal sentiment analysis

Published:2024-06 Issue: Volume:293 Page:111724
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Yang Juan^ORCID,Xiao Yali^ORCID,Du Xu

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference60 articles.

1. Multi-level attention map network for multimodal sentiment analysis;Xue;IEEE Trans. Knowl. Data Eng.,2023

2. Fine-grained sentiment analysis of political tweets with entity-aware multimodal network, diversity, divergence;Yang,2021

3. Mining and summarizing customer reviews;Hu,2004

4. Deep associative learning approach for bio-medical sentiment analysis utilizing unsupervised representation from large-scale patients' narratives;Hanane;Pers. Ubiquitous Comput.,2021

5. Adapting BERT for target-oriented multimodal sentiment classification;Yu,2019

Cited by 2 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. From online reviews to smartwatch recommendation: An integrated aspect-based sentiment analysis framework;Journal of Retailing and Consumer Services;2025-01

2. MIECF: Multi-faceted information extraction and cross-mixture fusion for multimodal aspect-based sentiment analysis;Heliyon;2024-06

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