Sentiment Analysis in the Bio-Medical Domain
Techniques, Tools, and Applications
Springer International Publishing
ISBN 978-3-319-68468-0
Standardpreis
Bibliografische Daten
eBook. PDF
2018
XXIV, 134 p. 45 illus., 33 illus. in color..
In englischer Sprache
Umfang: 134 S.
Verlag: Springer International Publishing
ISBN: 978-3-319-68468-0
Weiterführende bibliografische Daten
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 miningAutorinnen und Autoren
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