TL;DR
This work proposes a novel framework that employs the pre-trained vision-language model BLIP (Bootstrapping Language-Image Pre-training) to generate descriptive image captions and introduces an aspect-guided soft prompt mechanism that enables dynamic interaction between aspect terms and multimodal features, thereby mitigating the effects of structural irregularities.
An Aspect-guided dual-branch fusion network (ADFN) to enhance sentiment prediction by incorporating external knowledge and integrating coarse and fine information is proposed, which incorporates syntactic dependency information to complement and enrich the textual semantic representations.
TicCondDiffusion is the first diffusion-based framework specifically designed for MABSA, offering a new direction for this task, and achieves competitive performance compared with recent baseline approaches under the end-to-end setting.
MGSI first encodes audio and visual streams at short-, medium-, and long-range temporal scales, preserving both local variations and global affective trends, and applies polarity- and intensity-aware enhancement to better handle ambiguous and near-neutral samples.
Experimental results on the MVSA-Single and MVSA-Multiple datasets show that the proposed method improves performance in image–text multimodal sentiment classification, thereby validating the effectiveness of combining semantic enhancement with difference-aware modeling.
This work suggests an improved prompt-based multi-modal sentiment analysis (IPMMSA) strategy that incorporates multi-view and diversified knowledge augmentation that yields robust and expressive multimodal embedding’s to boost aspect-based sentiment analysis performance during multimodal integration with multi-modal fa...
MagXCL, a unified framework designed to improve multimodal integration through more effective interaction between verbal and non-verbal modalities, is proposed, demonstrating the effectiveness of combining AMag with CrossCL to produce more accurate and robust multimodal sentiment predictions.
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