語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
到查詢結果
[ subject:"Sentiment analysis." ]
切換:
標籤
|
MARC模式
|
ISBD
Multi-modal sentiment analysis
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Multi-modal sentiment analysisby Hua Xu.
作者:
Xu, Hua.
出版者:
Singapore :Springer Nature Singapore :2023.
面頁冊數:
xxi, 261 p. :illustrations, digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Sentiment analysis.
電子資源:
https://doi.org/10.1007/978-981-99-5776-7
ISBN:
9789819957767$q(electronic bk.)
Multi-modal sentiment analysis
Xu, Hua.
Multi-modal sentiment analysis
[electronic resource] /by Hua Xu. - Singapore :Springer Nature Singapore :2023. - xxi, 261 p. :illustrations, digital ;24 cm.
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.
ISBN: 9789819957767$q(electronic bk.)
Standard No.: 10.1007/978-981-99-5776-7doiSubjects--Topical Terms:
892169
Sentiment analysis.
LC Class. No.: QA76.9.S57
Dewey Class. No.: 006.35
Multi-modal sentiment analysis
LDR
:02900nmm a2200325 a 4500
001
654000
003
DE-He213
005
20231126023616.0
006
m d
007
cr nn 008maaau
008
240426s2023 si s 0 eng d
020
$a
9789819957767$q(electronic bk.)
020
$a
9789819957750$q(paper)
024
7
$a
10.1007/978-981-99-5776-7
$2
doi
035
$a
978-981-99-5776-7
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.9.S57
072
7
$a
UYQ
$2
bicssc
072
7
$a
TEC009000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
006.35
$2
23
090
$a
QA76.9.S57
$b
X8 2023
100
1
$a
Xu, Hua.
$3
956838
245
1 0
$a
Multi-modal sentiment analysis
$h
[electronic resource] /
$c
by Hua Xu.
260
$a
Singapore :
$b
Springer Nature Singapore :
$b
Imprint: Springer,
$c
2023.
300
$a
xxi, 261 p. :
$b
illustrations, digital ;
$c
24 cm.
505
0
$a
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.
520
$a
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.
650
0
$a
Sentiment analysis.
$3
892169
650
0
$a
Natural language processing (Computer science)
$3
200539
650
0
$a
Human-computer interaction.
$3
189333
650
1 4
$a
Computational Intelligence.
$3
338479
650
2 4
$a
User Interfaces and Human Computer Interaction.
$3
274517
650
2 4
$a
Data Mining and Knowledge Discovery.
$3
275288
650
2 4
$a
Artificial Intelligence.
$3
212515
650
2 4
$a
Robotics.
$3
181952
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer Nature eBook
856
4 0
$u
https://doi.org/10.1007/978-981-99-5776-7
950
$a
Intelligent Technologies and Robotics (SpringerNature-42732)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000236112
電子館藏
1圖書
電子書
EB QA76.9.S57 X8 2023 2023
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
https://doi.org/10.1007/978-981-99-5776-7
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入