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© 2017

Sentiment Analysis in the Bio-Medical Domain

Techniques, Tools, and Applications

Book

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

  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

About the authors

Mr. Ranjan Satapathy is currently pursuing Ph.D., at the School of Computer Science and Engg., NTU Singapore under the supervision of Dr. Erik Cambria. His major research interests are deep learning, sentiment analysis and natural language processing.

He completed his Bachelor's degree in Computer Science and Engg., from IIIT-Bhubaneswar, India in 2013. He further recieved a M.Tech degree from  University of Hyderabad, India in 2016, with majors in Computer Science. During his pursuits of Master's degree, he joined Dr. Cambria's research group SenticNet as an intern, where he worked on bio-medical sentiment analysis. This exposure and a keen-to-learn attitude motivated him to apply for Ph.D under Dr. Cambria.

Bibliographic information

  • Book Title Sentiment Analysis in the Bio-Medical Domain
  • Book Subtitle Techniques, Tools, and Applications
  • Authors Ranjan Satapathy
    Erik Cambria
    Amir Hussain
  • Series Title Socio-Affective Computing
  • Series Abbreviated Title Socio-Affect. Comput.
  • 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 Biomedical and Life Sciences (R0)
  • Hardcover ISBN 978-3-319-68467-3
  • Softcover ISBN 978-3-319-88609-1
  • eBook ISBN 978-3-319-68468-0
  • Series ISSN 2509-5706
  • Series E-ISSN 2509-5714
  • Edition Number 1
  • Number of Pages XXIV, 134
  • Number of Illustrations 12 b/w illustrations, 33 illustrations in colour
  • Topics Biomedicine, general
    Computational Intelligence
    Computer Science, general
  • Buy this book on publisher's site
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