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Bibliografická citace

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EB
EB
ONLINE
Cham : Springer, 2017
1 online zdroj
Externí odkaz    Plný text PDF 
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ISBN 978-3-319-68468-0 (e-kniha)
ISBN 9783319684673 (print)
Socio-Affective Computing, ISSN 2509-5706 ; 7
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..
001473946

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