Multi-modal Sentiment Analysis Classification (MSAC) on MELD benchmark leaderboard · SOTA2 Research

Multi-modal Sentiment Analysis Classification (MSAC) on MELD

0.8005Neutral AccuracyDialogueCRN

Evaluation Results

Method	Links
DialogueCRN2024.07		0.8005	0.6667	0.6934	0.7418	0.7396
GraphSmile2024.07		0.7935	0.6789	0.7072	0.7444	0.7431
GraphSmile2024.07		0.7915	0.6484	0.7008	0.736	0.734
SACL-LSTM2024.07		0.7908	0.6667	0.6916	0.7356	0.7344
MMGCN2024.07		0.7903	0.666	0.6936	0.7356	0.7346
M3Net2024.07		0.7846	0.6712	0.6944	0.7333	0.7332
MM-DFN2024.07		0.7789	0.6605	0.7083	0.733	0.7327