Multimodal Sentiment Classification on B-T4SA (test)
95.19AccuracyAutoML-based Fusion
Evaluation results
| Method | Links | |
|---|---|---|
| AutoML-based FusionFusion Classifier=GBM (AutoML-searched)2021.02 | 95.19 | |
| SVM-fusionFusion Classifier=SVM2021.02 | 95.16 | |
| Information FusionText Classifier=RCNN, Note=TM (Substituting text classifier from [14] with RCNN)2021.02 | 76.35 | |
| Information Fusion2021.02 | 60.42 | |
| VGG-T4SAVariant=FT-A2021.02 | 51.3 | |
| VGG-T4SAVariant=FT-F2021.02 | 50.6 | |
| Hybrid-T4SAVariant=FT-F2021.02 | 49.9 | |
| Hybrid-T4SAVariant=FT-A2021.02 | 49.1 | |
| Random Classifier2021.02 | 33.33 |