LEADER 02758nam  2200445zu 450 
001 9910768459403321
005 20231130175303.0
010   $a981-9957-76-1
035   $a(CKB)29092493300041
035   $a(VLeBooks)9789819957767
035   $a(MiAaPQ)EBC31092576
035   $a(Au-PeEL)EBL31092576
035   $a(EXLCZ)9929092493300041
100   $a20231130|2023uuuu  ||         |
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200   $aMulti-Modal Sentiment Analysis
205   $a1st ed.
210   $cSpringer Nature$d2023
215   $a1 online resource (261 p.)
311 08$a9789819957750 
330   $aThe 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.
606   $aHuman-computer interaction
606   $aNatural language processing (Computer science)
606   $aSentiment analysis
615  0$aHuman-computer interaction
615  0$aNatural language processing (Computer science)
615  0$aSentiment analysis
676   $a006.35
700   $aXu$b Hua$01669353
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910768459403321
996   $aMulti-Modal Sentiment Analysis$94177720
997   $aUNINA