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Socio-Affective Computing

Socio-Affective Computing: Techniques, Tools, and Applications

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Socio-Affective Computing: Techniques, Tools, and Applications

Satapathy, Ranjan; Cambria, Erik; Hussain, Amir

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

Details

Published by: Springer

Publication Date: 2018-02-01

Format: Hardcover

ISBN-13: 9783319684673

DOI: 10.1007/978-3-319-68468-0

Dimensions: 235cm x155cm

Pages: 134

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