CH-SIMS is a Chinese dataset that can be used for unimodal and multimodal sentiment analysis. The dataset contains 2,281 refined real video clips with multimodal and unimodal annotations. The dataset can be used to study the interaction between various modalities, or to perform unimodal sentiment analysis using independent unimodal annotations.

Citation

@inproceedings{yu2020ch, title={CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset with Fine-grained Annotation of Modality}, author={Yu, Wenmeng and Xu, Hua and Meng, Fanyang and Zhu, Yilin and Ma, Yixiao and Wu, Jiele and Zou, Jiyun and Yang, Kaicheng} booktitle={Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics}, pages={3718–3727}, year={2020} }