Abstract: Highlights•Overview of multimodal sentiment analysis: definition, background, and development.•Recent datasets and advanced models, including deep learning advancements.•hallenges and future prospects of multimodal sentiment analysis. Potential applications and research opportunities in artificial intelligence.•Insights into deep learning advancements for multimodal sentiment analysis.•Review of state-of-the-art in multimodal sentiment analysis, emphasizing the need for further research.
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