Multimodal analytics for next-generation big data technologies and applications / editors, Kah Phooi Seng, Li-minn Ang. Alan Wee-Chung Liew nd Junbin Gao.

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Multimodal analytics for next-generation big data technologies and applications / editors, Kah Phooi Seng, Li-minn Ang. Alan Wee-Chung Liew nd Junbin Gao.

9783319975986 (electronic book)
3319975986 (electronic book)
9783319975979

Cham, Switzerland : Springer, [2019].

©2019

English

1 online resource : illustrations.

10.1007/978-3-319-97

QA76.9.B45

005.7

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.

Includes bibliographical references.

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