首页|Researcher from School of Media Reports on Findings in Pattern Recognition and A rtificial Intelligence (Multimodal Sentiment Analysis for Movie Scenes Based on a Few-Shot Learning Approach)
Researcher from School of Media Reports on Findings in Pattern Recognition and A rtificial Intelligence (Multimodal Sentiment Analysis for Movie Scenes Based on a Few-Shot Learning Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on pattern recognition and artificial intelligence are presented in a new report. According to news origina ting from Shanghai, People's Republic of China, by NewsRx correspondents, resear ch stated, "Multimodal sentiment analysis involves discerning the emotions of sp eakers through diverse features such as sound, text, and images." Our news editors obtained a quote from the research from School of Media: "Howev er, current research in this field heavily relies on extensive supervised datase ts, demanding substantial labor and computational resources. This study introduc es a meta-learning-based approach for multimodal sentiment analysis, aiming to d elve into emotional information within movie scenes. Leveraging meta-learning te chniques, this approach seeks to accurately capture emotions in movie scenes usi ng a limited number of annotated samples, achieving model generalization under c onstrained labeled data. Specifically, we introduce an optimization-based meta-l earning approach for the multimodal sentiment analysis tasks in text and vision, enhancing the model's ability to generalize to new tasks with limited annotatio ns."
School of MediaShanghaiPeople's Repu blic of ChinaAsiaEmerging TechnologiesMachine LearningMeta LearningPat tern Recognition and Artificial Intelligence
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