基于多任务学习与层叠 Transformer 的多模态情感分析模型

陈巧红,孙佳锦,漏杨波,方志坚

Multimodal sentiment analysis model based on multi-task learning and stacked cross-modal Transformer

Qiao-hong CHEN,Jia-jin SUN,Yang-bo LOU,Zhi-jian FANG

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

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