Table 2.
Performance metrics for video classification for each model. The residual network with 50 layers (ResNet50) model performed consistently well across all 5 themes compared with the other 2 models.
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F1-scores | ||||
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General vape (theme 1) | Vaping cessation (theme 2) | Vape product marketing (theme 3) | TikTok influencer (theme 4) | Vape brands (theme 5) |
| ResNet50 | 0.974 | 0.972 | 0.960 | 0.975 | 0.975 |
| VGG16a | 0.932 | 0.986 | 0.953 | 0.955 | 0.980 |
| ViTb | 0.943 | 0.941 | 0.847 | 0.986 | 0.778 |
aVGG16: Visual Geometry Group model with 16 layers.
bViT: vision transformer.