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CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset ...

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 3718 3727 July 5 - 10, 2020 Association for Computational Linguistics3718CH-SIMS: A Chinese Multimodal Sentiment Analysis Datasetwith Fine-grained Annotations of ModalityWenmeng Yu1, Hua Xu2 , Fanyang Meng, Yilin Zhu, Yixiao Ma,Jiele Wu, Jiyun Zou, Kaicheng YangState Key Laboratory of Intelligent Technology and Systems,Department of Computer Science and Technology, Tsinghua University, Beijing, ChinaBeijing National Research Center for Information Science and studies in Multimodal Sentiment anal-ysis have used limited datasets, which onlycontain unified Multimodal annotations. How-ever, the unified annotations do not alwaysreflect the independent Sentiment of singlemodalities and limit the model to capture thedifference between this pa-per, we introduce a Chinese single- and multi-modal Sentiment Analysis Dataset , CH-SIMS,which contains 2,281 refined video segmentsin the wild with both multim

Sentiment analysis is an important research area in Natural Language Processing (NLP). It has wide applications for other NLP tasks, such as opinion mining, dialogue generation, and user behavior analysis. Previous study (Pang et al.,2008;Liu and Zhang,2012) mainly focused on text sentiment analysis and achieved impressive results. However,

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