多模态情感分析（Multimodal Sentiment Analysis，MSA）是指通过融合来自不同模态（如文本、视觉、音频等）的信息来分析和预测情感的任务。在情感分析任务中，通常我们只处理文本数据，但随着计算能力和深度学习技术的发展，利用多种模态信息进行情感识别的研究越来越受到关注。不同模态提供的情感信息可以互相补充，从而提高分析的准确性和鲁棒性。
☆20Mar 1, 2025Updated last year
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