Research Article
Attention-Based Sentiment Region Importance and Relationship Analysis for Image Sentiment Recognition
Table 2
The result of binary sentiment recognition on abstract dataset.
| Model | Positive | Negative | Accuracy (%) | Precision (%) | Recall (%) | F1 (%) | Precision (%) | Recall (%) | F1 (%) |
| VGGNet16 | 70.83 | 66.82 | 68.77 | 71.58 | 71.92 | 71.75 | 70.26 | ResNet50 | 75.86 | 69.62 | 72.61 | 72.21 | 70.14 | 71.16 | 71.88 | ResNet101 | 75.01 | 70.27 | 72.56 | 73.02 | 72.24 | 72.63 | 72.60 | Ours + important attention | 74.83 | 70.82 | 72.77 | 80.58 | 80.92 | 80.75 | 78.40 | Ours + relation attention | 75.21 | 74.55 | 74.88 | 80.14 | 81.31 | 80.72 | 79.01 | Ours + all | 80.52 | 79.49 | 80.00 | 81.18 | 82.14 | 81.66 | 80.86 |
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