发帖
雷达卡
Department of Computer Science and Technology Tsinghua University Beijing, P. R. China
清华大学
Textbook:Multi-Modal Sentiment Analysis
Author(s): Hua Xu
Course description:
This course mainly discusses the following levels of hot research contents: Multi-modal Information Feature Representation, Feature Fusion and Sentiment Classification. Multi-modal sentiment analysis oriented to natural interaction is a comprehensive research field involving the integration of natural language processing, computer vision, machine learning, pattern recognition, algorithm, robot intelligent system, human-computer interaction, etc. In recent years, our research team from State Key Laboratory of Intelligent Technology and Systems, Department of Computer Science, Tsinghua University, has conducted a lot of pioneering research and applied work, which have been carried out in the field of multi-modal sentiment analysis for natural interaction, especially in the field of sentiment feature representation, feature fusion, robust sentiment analysis based on deep learning model. Related achievements have also been published in the top academic international conferences in the field of artificial intelligence in recent years, such as ACL, AAAI, ACM MM, COLING, and wellknown international journals, such as Pattern Recognition, Knowledge based Systems, IEEE Intelligent Systems, and Expert Systems with Applications. In order to systematically present the latest achievements in multi-modal sentiment analysis in academia in recent years, the relevant work achievements are systematically sorted out and presented to readers in the form of a complete systematic discussion.
Multi-Modal Sentiment Analysis .pdf
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