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Multimodal Sentiment Analysis

  • Soujanya Poria
  • Amir Hussain
  • Erik Cambria

Part of the Socio-Affective Computing book series (SAC, volume 8)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Soujanya Poria, Amir Hussain, Erik Cambria
    Pages 1-12
  3. Soujanya Poria, Amir Hussain, Erik Cambria
    Pages 13-35
  4. Soujanya Poria, Amir Hussain, Erik Cambria
    Pages 37-78
  5. Soujanya Poria, Amir Hussain, Erik Cambria
    Pages 79-84
  6. Soujanya Poria, Amir Hussain, Erik Cambria
    Pages 85-116
  7. Soujanya Poria, Amir Hussain, Erik Cambria
    Pages 117-151
  8. Soujanya Poria, Amir Hussain, Erik Cambria
    Pages 153-178
  9. Soujanya Poria, Amir Hussain, Erik Cambria
    Pages 179-186
  10. Back Matter
    Pages 187-214

About this book

Introduction

This latest volume in the series, Socio-Affective Computing, presents a set of novel approaches to analyze opinionated videos and to extract sentiments and emotions.

Textual sentiment analysis framework as discussed in this book contains a novel way of doing sentiment analysis by merging linguistics with machine learning. Fusing textual information with audio and visual cues is found to be extremely useful which improves text, audio and visual based unimodal sentiment analyzer.

This volume covers the three main topics of: textual preprocessing and sentiment analysis methods; frameworks to process audio and visual data; and methods of textual, audio and visual features fusion.

The inclusion of key visualization and case studies will enable readers to understand better these approaches.

Aimed at the Natural Language Processing, Affective Computing and Artificial Intelligence audiences, this comprehensive volume will appeal to a wide readership and will help readers to understand key details on multimodal sentiment analysis.

Keywords

Audiovisual Multimodal Multimodal Fusion SVM Sentiment Analysis

Authors and affiliations

  • Soujanya Poria
    • 1
  • Amir Hussain
    • 2
  • Erik Cambria
    • 3
  1. 1.Artificial Intelligence InitiativeASTARSingaporeSingapore
  2. 2.Computing Science and MathematicsUniversity of StirlingStirlingUK
  3. 3.School of Computer EngineeringNanyang Technological UniversitySingaporeSingapore

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-95020-4
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Biomedical and Life Sciences
  • Print ISBN 978-3-319-95018-1
  • Online ISBN 978-3-319-95020-4
  • Series Print ISSN 2509-5706
  • Series Online ISSN 2509-5714
  • Buy this book on publisher's site