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Datasets/CMU-MOSEI

CMU-MOSEI

AudioImagesTextsVideosCustomIntroduced 2018-01-01

CMU Multimodal Opinion Sentiment and Emotion Intensity (CMU-MOSEI) is the largest dataset of sentence-level sentiment analysis and emotion recognition in online videos. CMU-MOSEI contains over 12 hours of annotated video from over 1000 speakers and 250 topics.

Benchmarks

Classification/Accuracy Classification/Weighted Accuracy Emotion Classification/Accuracy Emotion Classification/Weighted Accuracy Facial Expression Recognition/Weighted Accuracy Sentiment Analysis/Accuracy Sentiment Analysis/MAE Sentiment Analysis/F1 Sentiment Analysis/Acc-5 Sentiment Analysis/Acc-7 Sentiment Analysis/Corr Text Classification/Accuracy Text Classification/Weighted Accuracy

Related Benchmarks

CMU-MOSEI-Sentiment/Emotion Recognition/Accuracy CMU-MOSEI-Sentiment/Emotion Recognition/Weighted F1 CMU-MOSEI-Sentiment/Multimodal Emotion Recognition/Accuracy CMU-MOSEI-Sentiment/Multimodal Emotion Recognition/Weighted F1 CMU-MOSEI-Sentiment-3/Emotion Recognition/Accuracy CMU-MOSEI-Sentiment-3/Emotion Recognition/Weighted F1 CMU-MOSEI-Sentiment-3/Multimodal Emotion Recognition/Accuracy CMU-MOSEI-Sentiment-3/Multimodal Emotion Recognition/Weighted F1

Statistics

Papers: 190
Benchmarks: 13

Links

Tasks

Classification Emotion Classification Facial Expression Recognition Multimodal Emotion Recognition Multimodal Sentiment Analysis Sentiment Analysis Text Classification Video Emotion Detection