To alleviate the heterogeneity and asynchronism of multimodal data, we propose HMAI-BERT, a hierarchical multimodal alignment and interaction network-enhanced ...
After multimodal alignment, we propose a modal update method to address the problem of asynchronism, where each modality is reinforced by interacting with other ...
Multimodal aspect-based sentiment analysis (MABSA) aims to understand opinions in a granular manner, advancing human-computer interaction and other fields.
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Enhancing BERT's Performance in Sentiment Analysis with Multimodal Fusion Techniques. Multimodal sentiment analysis leverages multiple types of data, ...
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HMAI-BERT: Hierarchical Multimodal Alignment and Interaction Network-Enhanced BERT for Multimodal Sentiment Analysis; Hierarchical Interactive Multimodal ...
HMAI-BERT: Hierarchical Multimodal Alignment and Interaction Network-Enhanced BERT for Multimodal Sentiment Analysis · Conference Paper. July 2022. ·. 25 Reads.
HMAI-BERT: Hierarchical multimodal alignment and interaction network-enhanced BERT for multimodal sentiment analysis. X Zhao, Y Chen, Y Chen, S Liu, B Tang.
HMAI-BERT: Hierarchical Multimodal Alignment and Interaction Network-Enhanced BERT for Multimodal Sentiment Analysis · Computer Science. 2022 IEEE International ...
HMAI-BERT: Hierarchical Multimodal Alignment and Interaction Network-Enhanced BERT for Multimodal Sentiment Analysis. Xianbing Zhao, Yixin Chen, Yiting Chen ...