Product Information
This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data environments. After an introduction, the editors organize the book into four main parts on sentiment, affect and emotion analytics for big multimodal data; unsupervised learning strategies for big multimodal data; supervised learning strategies for big multimodal data; and multimodal big data processing and applications. The book will be of value to researchers, professionals and students in engineering and computer science, particularly those engaged with image and speech processing, multimodal information processing, data science, and artificial intelligence.Product Identifiers
PublisherSpringer International Publishing A&G
ISBN-139783319975979
eBay Product ID (ePID)17046540012
Product Key Features
Number of Pages391 Pages
Publication NameMultimodal Analytics for Next-Generation Big Data Technologies and Applications
LanguageEnglish
SubjectComputer Science
Publication Year2019
TypeTextbook
AuthorLi-Minn Ang, Junbin Gao, Kah Phooi Seng, Alan Wee-Chung Liew
FormatHardcover
Dimensions
Item Height235 mm
Item Weight776 g
Additional Product Features
EditorKah Phooi Seng, Li-Minn Ang, Junbin Gao, Alan Wee-Chung Liew
Country/Region of ManufactureSwitzerland