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

• Autore: Satapathy Ranjan
• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
• Edizione: 1st ed. 2017.
• Descrizione fisica: 1 online resource (XXIV, 134 p. 45 illus., 33 illus. in color.)
• Disciplina: 006.312
• Soggetto topico: Medicine; Computational intelligence; Computer science; Biomedicine, general; Computational Intelligence; Computer Science, general
• Persona (resp. second.): CambriaErik; HussainAmir
• Nota di bibliografia: Includes bibliographical references at the end of each chapters and index.
• Sommario/riassunto: 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.
• Titolo autorizzato: Sentiment Analysis in the Bio-Medical Domain
• ISBN: 3-319-68468-X
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910255452503321
• Lo trovi qui: Univ. Federico II
• Serie: Socio-Affective Computing, . 2509-5706 ; ; 7