Preprocessed CMU-MOSEI dataset for Multi-modal Sentiment Analysis

The preprocessed CMU-MOSEI dataset is a comprehensive dataset for multi-modal bridge-based social media multi-label sentiment analysis. This dataset covers user-generated content with various emotional and sentiment expressions. The processing of the dataset includes extracting video subtitle text, audio features, and visual features from the video, and these data are cleaned and preprocessed for sentiment analysis tasks.The dataset includes a collection of 2,199 opinion video clips. Each video clip contains three forms of content: verbal text-based language, visual content through perceived gestures and facial expressions, and auditory content through intonation and prosody. Each video clip is labeled with an emotional score.