Sentiment Analysis in the Bio-Medical Domain : Techniques, Tools, and Applications
1st ed. 2017
Book Details
Format
Hardback or Cased Book
Book Series
Socio-Affective Computing
ISBN-10
3319684671
ISBN-13
9783319684673
Edition
1st ed. 2017
Publisher
Springer International Publishing AG
Imprint
Springer International Publishing AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Feb 1st, 2018
Print length
134 Pages
Product Classification:
Medical researchArtificial intelligenceArtificial intelligence (AI)
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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
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