A Rearrangement and Restore-Based Mixer Model for Target-Oriented Multimodal Sentiment Classification

With the development of fine-grained multimodal sentiment analysis tasks, target-oriented multimodal sentiment (TMSC) analysis has received more attention, which aims to classify the sentiment of target with the help of textual and associated image features. Existing methods focus on exploring fine-...

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Veröffentlicht in:	IEEE transactions on artificial intelligence 2024-06, Vol.5 (6), p.3109-3119
Hauptverfasser:	Jia, Li, Ma, Tinghuai, Rong, Huan, Sheng, Victor S., Huang, Xuejian, Xie, Xintong
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Feature extraction Feature mixing Image restoration Mixers MLPs-based rearrangement and restore operations target-oriented multimodal sentiment classification Task analysis Transformers Visualization
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