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Sentiment Analysis in the Bio-Medical Domain

Techniques, Tools, and Applications

  • Ranjan Satapathy
  • Erik Cambria
  • Amir Hussain

Part of the Socio-Affective Computing book series (SAC, volume 7)

Table of contents

  1. Front Matter
    Pages i-xxiv
  2. Ranjan Satapathy, Erik Cambria, Amir Hussain
    Pages 1-19
  3. Ranjan Satapathy, Erik Cambria, Amir Hussain
    Pages 21-38
  4. Ranjan Satapathy, Erik Cambria, Amir Hussain
    Pages 39-103
  5. Ranjan Satapathy, Erik Cambria, Amir Hussain
    Pages 105-125
  6. Ranjan Satapathy, Erik Cambria, Amir Hussain
    Pages 127-130
  7. Back Matter
    Pages 131-134

About this book

Introduction

The abundance of text available in social media and health-related forums and blogs have recently attracted the interest of the public health community to use these sources for opinion mining. This book presents a lexicon-based approach to sentiment analysis in the bio-medical domain, i.e., WordNet for Medical Events (WME). This book gives an insight in handling unstructured textual data and converting it to structured machine-processable data in the bio-medical domain.

The readers will discover the following key novelties:

1) development of a bio-medical lexicon: WME expansion and WME enrichment with additional features.;

2) ensemble of machine learning and computational creativity;

3) development of microtext analysis techniques to overcome the inconsistency in social communication.

It will be of interest to researchers in the fields of socially-intelligent human-machine interaction and biomedical text mining

Keywords

Sentiment Analysis Natural Language Processing Machine Learning Biomedical Text Mining Computational Complexity

Authors and affiliations

  • Ranjan Satapathy
    • 1
  • Erik Cambria
    • 2
  • Amir Hussain
    • 3
  1. 1.School of Computer Science & EngineeringNanyang Technological UniversitySingaporeSingapore
  2. 2.School of Computer Science & EngineeringNanyang Technological UniversitySingaporeSingapore
  3. 3.Division of Computing ScienceUniversity of StirlingStirlingUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-68468-0
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Biomedical and Life Sciences
  • Print ISBN 978-3-319-68467-3
  • Online ISBN 978-3-319-68468-0
  • Series Print ISSN 2509-5706
  • Series Online ISSN 2509-5714
  • Buy this book on publisher's site
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Biotechnology
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