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Multimodal Analytics for Next-Generation Big Data Technologies and Applications



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Multimodal Analytics for Next-Generation Big Data Technologies and Applications
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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.
Release date Australia
November 8th, 2018
Edited by Alan Wee-Chung Liew Edited by Junbin Gao Edited by Kah Phooi Seng Edited by Li-Minn Ang
1st ed. 2018
102 Tables, color; 109 Illustrations, color; 41 Illustrations, black and white; X, 230 p. 150 illus., 109 illus. in color.
Country of Publication
Springer International Publishing AG
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