• Medientyp: E-Book
  • Titel: Sentiment Analysis in the Bio-Medical Domain : Techniques, Tools, and Applications
  • Beteiligte: Satapathy, Ranjan [Verfasser:in]; Cambria, Erik [Verfasser:in]; Hussain, Amir [Verfasser:in]
  • Erschienen: Cham: Springer International Publishing, 2017
  • Erschienen in: Socio-Affective Computing ; 7
    SpringerLink ; Bücher
  • Umfang: Online-Ressource (XXIV, 134 p. 45 illus., 33 illus. in color, online resource)
  • Sprache: Englisch
  • DOI: 10.1007/978-3-319-68468-0
  • ISBN: 9783319684680
  • Identifikator:
  • Schlagwörter: Medicine ; Computer science ; Computational intelligence ; Biomedicine ; Data Mining ; Semantic Web ; Machine Learning ; Medical Informatics Applications
  • Entstehung:
  • Anmerkungen: Includes bibliographical references and index
  • Beschreibung: 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