Sentiment Analysis in the Bio-Medical Domain - Techniques, Tools, and Applications (Hardcover, 1st ed. 2017)

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

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Socio-Affective Computing, 7
Release date:	February 2018
First published:	2017
Authors:	Ranjan Satapathy • Erik Cambria • Amir Hussain
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	134
Edition:	1st ed. 2017
ISBN-13:	978-3-319-68467-3
Categories:	Books > Medicine > General issues > Medical equipment & techniques > Medical research Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-68467-1
Barcode:	9783319684673

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