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Book synopsis

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

Book details

Book category Books in English Medicine Medicine: general issues Medical equipment & techniques

• Full title: Sentiment Analysis in the Bio-Medical Domain
• Subtitle: Techniques, Tools, and Applications
• Author: Ranjan Satapathy, Erik Cambria, Amir Hussain
• Language: English
• Binding: Paperback
• Number of pages: 134
• EAN: 9783319886091
• ID: 21163503
• Publisher: Springer International Publishing AG
• Weight: 345 g
• Dimensions: 235 × 155 × 8 mm
• Date of publishing: 06. June 2019

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