September 10, 2025ITM Web of ConferencesOpen Access

A Multimodal Sentiment Classification Study Based on Mvsa-Single Dataset

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YKYuxiang Kong

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Implication

This analysis shows the performance variation of multiple models in predicting sentiment, indicating the strengths of intermodal attention mechanisms.

Key Points

The MCAN model offers the highest overall metrics compared to others.
The single-stream model excels in recall but has lower precision compared to the dual-stream model.
Each model's architecture and training methods were carefully analyzed to understand their performance differences.
Findings support optimal model selection for improving accuracy in multimodal sentiment analysis.

Cite This Study

Yuxiang Kong (2025) studied this question.

synapsesocial.com/papers/68c23d3ab210217d6478d4e4 https://doi.org/10.1051/itmconf/20257804015

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Implication

This analysis shows the performance variation of multiple models in predicting sentiment, indicating the strengths of intermodal attention mechanisms.

A Multimodal Sentiment Classification Study Based on Mvsa-Single Dataset

Discussion

Member takes

Implication

Key Points

Cite This Study

A Multimodal Sentiment Classification Study Based on Mvsa-Single Dataset

Discussion

Member takes

Implication

Key Points

Cite This Study

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Also Consider