Multimodal sentiment analysis with unimodal label generation and modality decomposition
Authors:
- Linan ZhuLZLinan Zhu
- Hongyan ZhaoHZHongyan Zhao
- Zhechao ZhuZZZhechao Zhu
- Chenwei ZhangCZChenwei Zhang
- Xiangjie KongXiangjie Kong
- 20 November 2024
- journal article
- research article
- Published by Elsevier in Information Fusion
- Vol. 116
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (62176234, 62072409)
This publication has 21 references indexed in Scilit:
- RustQNet: Multimodal deep learning for quantitative inversion of wheat stripe rust disease indexComputers and Electronics in Agriculture, 2024
- Joint training strategy of unimodal and multimodal for multimodal sentiment analysisImage and Vision Computing, 2024
- TCHFN: Multimodal sentiment analysis based on Text-Centric Hierarchical Fusion NetworkKnowledge-Based Systems, 2024
- Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities2024
- Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networksRemote Sensing of Environment, 2023
- Multi-level correlation mining framework with self-supervised label generation for multimodal sentiment analysisInformation Fusion, 2023
- Multimodal sentiment analysis based on fusion methods: A surveyInformation Fusion, 2023
- A multi-attribute decision making approach based on information extraction for real estate buyer profilingWorld Wide Web, 2022
- Multimodal fusion for multimedia analysis: a surveyMultimedia Systems, 2010
- Emotions in human and artificial intelligenceComputers in Human Behavior, 2005