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Multimodal Analytics for Next-Generation Big Data Technologies and Applications

  • Kah Phooi Seng
  • Li-minn Ang
  • Alan Wee-Chung Liew
  • Junbin Gao
Book

Table of contents

  1. Front Matter
    Pages i-xv
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. Kah Phooi Seng, Li-minn Ang, Alan Wee-Chung Liew, Junbin Gao
      Pages 3-9
  3. Sentiment, Affect and Emotion Analysis for Big Multimodal Data

    1. Front Matter
      Pages 11-11
    2. Erik Cambria, Soujanya Poria, Amir Hussain
      Pages 13-43
    3. Nusrat Jahan Shoumy, Li-minn Ang, D. M. Motiur Rahaman
      Pages 45-71
    4. Yanghui Rao, Haoran Xie, Fu Lee Wang, Leonard K. M. Poon, Endong Zhu
      Pages 73-91
  4. Unsupervised Learning Strategies for Big Multimodal Data

    1. Front Matter
      Pages 93-93
    2. Boyue Wang, Junbin Gao
      Pages 151-180
  5. Supervised Learning Strategies for Big Multimodal Data

  6. Multimodal Big Data Processing and Applications

    1. Front Matter
      Pages 269-269
    2. Taiwo Adetiloye, Anjali Awasthi
      Pages 319-335
    3. Praveen Kumar, Apeksha Bodade, Harshada Kumbhare, Ruchita Ashtankar, Swapnil Arsh, Vatsal Gosar
      Pages 337-360
    4. Eugene Ch’ng, Mengdi Li, Ziyang Chen, Jingbo Lang, Simon See
      Pages 361-391

About this book

Introduction

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.

Keywords

Multimodal Data Data Analytics Big Data Information Processing Machine Learning Computational Intelligence Artificial Intelligence Decision Making Speech Processing Video Processing Image Processing Data Science

Editors and affiliations

  • Kah Phooi Seng
    • 1
  • Li-minn Ang
    • 2
  • Alan Wee-Chung Liew
    • 3
  • Junbin Gao
    • 4
  1. 1.School of Engineering and Information TechnologyUniversity of New South WalesCanberraAustralia
  2. 2.School of Information and Communication TechnologyGriffith UniversityGold CoastAustralia
  3. 3.School of Information and Communication TechnologyGriffith UniversityGold CoastAustralia
  4. 4.The University of Sydney Business SchoolUniversity of SydneySydneyAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-97598-6
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-97597-9
  • Online ISBN 978-3-319-97598-6
  • Buy this book on publisher's site
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