Papers with AcFormer
Mixture of Multimodal Adapters for Sentiment Analysis (2025.naacl-long)
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| Challenge: | Pre-trained language models (PLMs) have been used for text sentiment analysis but sentiment is hidden in other modalities. |
| Approach: | They propose to fuse emotions from different data to analyze sentiments . they use compression parameter for each expert to reduce training burden . |
| Outcome: | The proposed method achieves state-of-the-art with a tiny trainable parameter count compared to current methods . emotions hidden in body movements or vocal timbres eclipse traditional methods compared with text sentiment analysis . |