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Fcdnet: Fuzzy Cognition-based Dynamic Fusion Network for Multimodal Sentiment Analysis https://lnkd.in/d6mstJya The Fcdnet dynamically integrates #sentiment #scores across different modalities using a fuzzy cognition fusion mechanism (FCM), significantly enhancing the accuracy of identifying divergent sentiments across modalities. Additionally, a disparity balancing module (DBM) is proposed to normalize the representations between different modality features by penalizing the similarity of sentiments with different #degrees and rewarding the #separability of sentiments with same degree. #Experimental results demonstrate that Fcdnet outperforms state-of-the-art methods on public datasets, validating the superiority and effectiveness. Marc Polo (Ph.D) Miriam Diez Bosch PhD Josep Maria Picola Meix (Ph. D.) Víctor Curto (Ph.D) Blanquerna - Universitat Ramon Llull
