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. 2022 Aug 9;2022:4767437. doi: 10.1155/2022/4767437

Table 2.

Results on MOSI. Note: (B) Means the language features are based on BERT; model with represents the best results for recurrence under the same conditions. ○ is from[10], and ◇ is from [11]. In indicators Acc-2 and F1-score, the left side of “/” is calculated for negative and non-negative sentiment, while the right side of “/” is calculated for negative and positive sentiment.

Models MOSI Data setting
MAE (↓) Corr (↑) Acc-7 (↑) Acc-2 (↑) F1-score (↑)
TFN (B) 0.901 0.698 34.9 −/80.8 −/80.7 Unaligned
LMF (B) 0.917 0.695 33.2 −/82.5 −/82.4 Unaligned
MFM (B) 0.877 0.706 35.4 −/81.7 −/81.6 Aligned
MULT 0.918 0.680 36.47 77.93/79.3 77.91/79.34 Aligned
ICCN (B) 0.860 0.710 39.0 −/83.0 −/83.0 Unaligned
MISA (B) 0.783 0.761 42.3 81.8/83.4 81.7/83.6 Aligned
MAG-BERT (B) 0.731 0.789 82.54/84.3 82.59/84.3 Aligned
Self-MM (B) 0.713 0.798 84.42/85.95 84.42/85.95 Unaligned
MISA (B) 0.759 0.787 42.57 81.05/82.93 81.03/82.97 Aligned
Self-MM (B) 0.718 0.796 45.77 83.09/84.09 83.10/84.96 Aligned
MGHF (B) 0.709 0.802 45.19 83.38/85.21 83.32/85.21 Aligned