Multimodal Analytics for Next-Generation Big Data Technologies and Applications

Editors: Seng, K.P., Ang, L.-m., Liew, A.W.-C., Gao, J. (Eds.)

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  • Explains multimodality data analytics in big data environments
  • Important techniques applied to image and speech processing, multimodal information processing, data science, and artificial intelligence
  • Valuable for researchers, professionals and students in engineering, and computer science
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eBook $109.00
price for USA in USD (gross)
  • ISBN 978-3-319-97598-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-3-319-97597-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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.

Table of contents (15 chapters)

Table of contents (15 chapters)
  • Multimodal Information Processing and Big Data Analytics in a Digital World

    Pages 3-9

    Seng, Kah Phooi (et al.)

  • Speaker-Independent Multimodal Sentiment Analysis for Big Data

    Pages 13-43

    Cambria, Erik (et al.)

  • Multimodal Big Data Affective Analytics

    Pages 45-71

    Shoumy, Nusrat Jahan (et al.)

  • Hybrid Feature-Based Sentiment Strength Detection for Big Data Applications

    Pages 73-91

    Rao, Yanghui (et al.)

  • Multimodal Co-clustering Analysis of Big Data Based on Matrix and Tensor Decomposition

    Pages 95-124

    Zhao, Hongya (et al.)

Buy this book

eBook $109.00
price for USA in USD (gross)
  • ISBN 978-3-319-97598-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-3-319-97597-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Multimodal Analytics for Next-Generation Big Data Technologies and Applications
Editors
  • Kah Phooi Seng
  • Li-minn Ang
  • Alan Wee-Chung Liew
  • Junbin Gao
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-319-97598-6
DOI
10.1007/978-3-319-97598-6
Hardcover ISBN
978-3-319-97597-9
Edition Number
1
Number of Pages
XV, 391
Number of Illustrations
41 b/w illustrations, 109 illustrations in colour
Topics