Multimodal sentiment analysis has become an important research area in the field of artificial intelligence. With the latest advances in deep learning, this technology has reached new heights. It has great potential for both application and research, making it a popular research topic. This review provides an overview of the definition, background, and development of multimodal sentiment analysis. It also covers recent datasets and advanced models, emphasizing the challenges and future prospects of this technology. Finally, it looks ahead to future research directions. It should be noted that this review provides constructive suggestions for promising research directions and building better performing multimodal sentiment analysis models, which can help researchers in this field.

翻译：多模态情感分析已成为人工智能领域的重要研究方向。随着深度学习的最新进展，该技术已迈上新台阶，兼具广阔的应用潜力和研究价值，因而成为热门研究课题。本综述概述了多模态情感分析的定义、背景及发展历程，同时介绍了近期数据集和先进模型，重点阐述了该技术面临的挑战与未来前景。最后对未来的研究方向进行了展望。需指出的是，本综述为有前景的研究方向及构建性能更优的多模态情感分析模型提供了建设性建议，可为该领域的研究人员提供参考。