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
Publisher: Springer International Publishing AG
Number of pages: 134
Weight: 458 g
Dimensions: 235 x 155 mm
Edition: 1st ed. 2017
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