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Sentiment analysis in the bio-medical domain : techniques, tools, and applications

Author: Ranjan Satapathy; Erik Cambria; A Hussain
Publisher: Cham : Springer, [2017] ©2017
Series: Socio-affective computing, v. 7.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic book
Electronic books
Additional Physical Format: Printed edition:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Ranjan Satapathy; Erik Cambria; A Hussain
ISBN: 9783319684680 331968468X 3319684671 9783319684673
OCLC Number: 1020319096
Description: 1 online resource : illustrations (some color)
Contents: Introduction --
Literature survey --
SenticNet --
Application to sentiment analysis --
Conclusion and future work.
Series Title: Socio-affective computing, v. 7.
Responsibility: Ranjan Satapathy, Erik Cambria, Amir Hussain.

Abstract:

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.

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