Multi-Modal Sentiment Analysis
Xu, Hua.
Multi-Modal Sentiment Analysis [electronic resource] / by Hua Xu. - 1st ed. 2023. - XXI, 261 p. 1 illus. online resource.
Acceso multiusuario
Chapter 1. Overview -- Chapter 2. Multimodal Sentiment Analysis Data sets and Preprocessing -- Chapter 3. Early Unimodal Sentiment Analysis of Comment Text based on Traditional Machine Learning -- Chapter 4. Unimodal Sentiment Analysis -- Chapter 5. Cross-Modal Sentiment Analysis -- Chapter 6. Multimodal Sentiment Analysis -- Chapter 7. Multimodal Sentiment Analysis Platform and Application -- Appendix.
The natural interaction ability between human and machine mainly involves human-machine dialogue ability, multi-modal sentiment analysis ability, human-machine cooperation ability, and so on. To enable intelligent computers to have multi-modal sentiment analysis ability, it is necessary to equip them with a strong multi-modal sentiment analysis ability during the process of human-computer interaction. This is one of the key technologies for efficient and intelligent human-computer interaction. This book focuses on the research and practical applications of multi-modal sentiment analysis for human-computer natural interaction, particularly in the areas of multi-modal information feature representation, feature fusion, and sentiment classification. Multi-modal sentiment analysis for natural interaction is a comprehensive research field that involves the integration of natural language processing, computer vision, machine learning, pattern recognition, algorithm, robot intelligent system, human-computer interaction, etc. Currently, research on multi-modal sentiment analysis in natural interaction is developing rapidly. This book can be used as a professional textbook in the fields of natural interaction, intelligent question answering (customer service), natural language processing, human-computer interaction, etc. It can also serve as an important reference book for the development of systems and products in intelligent robots, natural language processing, human-computer interaction, and related fields.
9789819957767
Computational intelligence.
User interfaces (Computer systems).
Human-computer interaction.
Data mining.
Artificial intelligence.
Robotics.
Computational Intelligence.
User Interfaces and Human Computer Interaction.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Robotics.
Q342
006.3
Multi-Modal Sentiment Analysis [electronic resource] / by Hua Xu. - 1st ed. 2023. - XXI, 261 p. 1 illus. online resource.
Acceso multiusuario
Chapter 1. Overview -- Chapter 2. Multimodal Sentiment Analysis Data sets and Preprocessing -- Chapter 3. Early Unimodal Sentiment Analysis of Comment Text based on Traditional Machine Learning -- Chapter 4. Unimodal Sentiment Analysis -- Chapter 5. Cross-Modal Sentiment Analysis -- Chapter 6. Multimodal Sentiment Analysis -- Chapter 7. Multimodal Sentiment Analysis Platform and Application -- Appendix.
The natural interaction ability between human and machine mainly involves human-machine dialogue ability, multi-modal sentiment analysis ability, human-machine cooperation ability, and so on. To enable intelligent computers to have multi-modal sentiment analysis ability, it is necessary to equip them with a strong multi-modal sentiment analysis ability during the process of human-computer interaction. This is one of the key technologies for efficient and intelligent human-computer interaction. This book focuses on the research and practical applications of multi-modal sentiment analysis for human-computer natural interaction, particularly in the areas of multi-modal information feature representation, feature fusion, and sentiment classification. Multi-modal sentiment analysis for natural interaction is a comprehensive research field that involves the integration of natural language processing, computer vision, machine learning, pattern recognition, algorithm, robot intelligent system, human-computer interaction, etc. Currently, research on multi-modal sentiment analysis in natural interaction is developing rapidly. This book can be used as a professional textbook in the fields of natural interaction, intelligent question answering (customer service), natural language processing, human-computer interaction, etc. It can also serve as an important reference book for the development of systems and products in intelligent robots, natural language processing, human-computer interaction, and related fields.
9789819957767
Computational intelligence.
User interfaces (Computer systems).
Human-computer interaction.
Data mining.
Artificial intelligence.
Robotics.
Computational Intelligence.
User Interfaces and Human Computer Interaction.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Robotics.
Q342
006.3
