综述
Multimodal Sentiment Analysis: A Survey of Methods, Trends, and Challenges
paper link: https://dl.acm.org/doi/abs/10.1145/3586075
2023
- Few-shot Multimodal Sentiment Analysis Based on Multimodal Probabilistic Fusion Prompts
paper link: https://dl.acm.org/doi/pdf/10.1145/3581783.3612181
code link: https://github.com/YangXiaocui1215/MultiPoint - Few-shot Joint Multimodal Aspect-Sentiment Analysis Based on Generative Multimodal Prompt
paper link: https://arxiv.org/abs/2305.10169
code link: https://github.com/yangxiaocui1215/gmp - Syntax-aware Hybrid prompt model for Few-shot multi-modal sentiment analysis
paper link: https://arxiv.org/abs/2306.01312
2022
- Few-Shot Multi-Modal Sentiment Analysis with Prompt-Based Vision-Aware Language Modeling
paper link: https://ieeexplore.ieee.org/abstract/document/9859654
code link: https://github.com/yynj98/PVLM - Unified Multi-modal Pre-training for Few-shot Sentiment Analysis with Prompt-based Learning
paper link: https://dl.acm.org/doi/abs/10.1145/3503161.3548306
code link: https://github.com/yynj98/UP-MPF - CLMLF:A Contrastive Learning and Multi-Layer Fusion Method for Multimodal Sentiment Detection
paper link: https://arxiv.org/abs/2204.05515
code link: https://github.com/link-li/clmlf
2021
- Multimodal Few-Shot Learning with Frozen Language Models
paper link: https://arxiv.org/abs/2106.13884
code link: https://github.com/ilkerkesen/frozen