Sentiment Analysis in the Bio-Medical Domain Techniques, Tools, and Applications /

• Κύριοι συγγραφείς: Satapathy, Ranjan (Συγγραφέας), Cambria, Erik (Συγγραφέας), Hussain, Amir (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: Socio-Affective Computing, 7
• Θέματα: Medicine.; Computer science.; Computational intelligence.; Biomedicine.; Biomedicine general.; Computational Intelligence.; Computer Science, general.
• Φυσική περιγραφή: XXIV, 134 p. 45 illus., 33 illus. in color. online resource.
• ISBN: 9783319684680
• ISSN: 2509-5706 ;

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.