Multimodal Sentiment Analysis On B T4Sa
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| SVM | 95.16 | An AutoML-based Approach to Multimodal Image Sentiment Analysis | - |
| Hybrid-T4SA FT-A | 49.10 | - | - |
| Hybrid-T4SA FT-F | 49.9 | - | - |
| Gaspar | 60.42 | - | - |
| VGG-T4SA FT-F | 50.60 | - | - |
| VGG-T4SA FT-A | 51.30 | - | - |
| AutoML-Based Fusion Approach | 95.19 | An AutoML-based Approach to Multimodal Image Sentiment Analysis | - |
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