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Title
Multi-modal sentiment analysis / Hua Xu.
Author
Xu, Hua, author.
ISBN
9789819957767 (electronic bk.)
9819957761 (electronic bk.)
9819957753
9789819957750
9819957761 (electronic bk.)
9819957753
9789819957750
Published
Singapore : Springer, 2023.
Language
English
Description
1 online resource (261 pages) : illustrations (black and white).
Item Number
10.1007/978-981-99-5776-7 doi
Call Number
QA76.9.S57
Dewey Decimal Classification
006.35
Summary
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.
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Description based on print version record.
Available in Other Form
MULTI-MODAL SENTIMENT ANALYSIS.
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Table of Contents
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.
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.