The Multimodal Corpus of Sentiment Intensity (CMU-MOSI) dataset is a collection of 2199 opinion video clips. Each opinion video is annotated with sentiment in the range [-3,3]. The dataset is rigorously annotated with labels for subjectivity, sentiment i
data_path = 'path_to_mosi_dataset' texts, videos, audios, labels = load_dataset(data_path) 特征提取 对每种模态信息进行特征提取。例如,文本可以使用TF-IDF或BERT进行编码,视频和音频可以使用预训练的卷积神经网络(CNN)或循环神经网络(RNN)进行特征提取。 # 文本特征提取 text_features = extract_text_fe...
Here is 1 public repository matching this topic... Star5 This repository implements the Tensor Fusion Network (TFN) for multimodal sentiment analysis using the CMU-MOSI dataset. TFN integrates language, visual, and acoustic modalities to predict sentiment intensity, enhancing sentiment prediction accurac...
Deep learning with CMU-MOSI multimodal dataset. Contribute to stdoo/CMU-MOSI development by creating an account on GitHub.