Satapathy / Cambria / Hussain

Sentiment Analysis in the Bio-Medical Domain

Techniques, Tools, and Applications

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eBook. PDF

eBook

2018

134 S. XXIV, 134 p. 45 illus., 33 illus. in color..

In englischer Sprache

Springer International Publishing. ISBN 978-3-319-68468-0

Das Werk ist Teil der Reihe: Socio-Affective Computing

Produktbeschreibung

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

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