Sentiment Analysis in the Bio-Medical Domain : Techniques, Tools, and Applications / by Ranjan Satapathy, Erik Cambria, Amir Hussain

Von:

Satapathy, Ranjan [aut]

Mitwirkende(r):

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Socio-Affective Computing ; 7 | SpringerLink BücherVerlag: Cham : Springer International Publishing, 2017Beschreibung: Online-Ressource (XXIV, 134 p. 45 illus., 33 illus. in color, online resource)ISBN:

9783319684680

Schlagwörter:

Andere physische Formen: 9783319684673 | Erscheint auch als: 978-3-319-68467-3 Druck-AusgabeDDC-Klassifikation:

LOC-Klassifikation:

R-RZ

NLM-Klassifikation:

W 26.55.I4

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

Zusammenfassung: 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 miningPPN: PPN: 1659260329Package identifier: Produktsigel: ZDB-2-SBL

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