基于多任务学习与层叠 Transformer 的多模态情感分析模型
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陈巧红,孙佳锦,漏杨波,方志坚
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Multimodal sentiment analysis model based on multi-task learning and stacked cross-modal Transformer
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Qiao-hong CHEN,Jia-jin SUN,Yang-bo LOU,Zhi-jian FANG
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表 2 SIMS数据集上不同模型的性能对比结果 |
Tab.2 Performance comparison of results with different models in SIMS dataset |
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对比模型 | Acc2/% | F1/% | Acc3/% | MAE | Corr | T/s | N/MB | TFN | 77.63 | 77.67 | 66.39 | 42.91 | 58.04 | 40.5 | 3.7 | MFN | 80.0 | 79.74 | 68.01 | 43.63 | 57.74 | 123 | 5.3 | LMF | 77.78 | 76.22 | 65.99 | 44.13 | 56.96 | 13 | 5.5 | MULT | 81.03 | 80.44 | 68.67 | 45.32 | 56.41 | 164 | 40.5 | MISA | 77.73 | 77.31 | 66.13 | 41.94 | 56.74 | 314 | 15.2 | M_TFN | 82.21 | 81.1 | 70.46 | 40.27 | 63.96 | 65 | 3.7 | M_MFN | 82.22 | 81.96 | 70.85 | 41.42 | 63.60 | 21 | 5.5 | CMFIB | 80.28 | 80.27 | — | 40.93 | 59.82 | 137 | 7.9 | MTSA | 84.18 | 83.98 | 71.42 | 38.85 | 64.89 | 111 | 4.9 |
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