Sentiment Analysis in the Bio-Medical Domain
Techniques, Tools, and Applications| By: | Ranjan Satapathy; Erik Cambria; Amir Hussain |
| Publisher: | Springer Nature |
| Print ISBN: | 9783319684673 |
| eText ISBN: | 9783319684680 |
| Edition: | 0 |
| Copyright: | 2017 |
| Format: | Reflowable |
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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