Sentiment Analysis in the Bio-Medical Domain: Techniques, Tools, and Applications

Sentiment Analysis in the Bio-Medical Domain: Techniques, Tools, and Applications

Author
Ranjan Satapathy,Erik Cambria,Amir Hussain (auth.)
Publisher
Springer International Publishing
Language
English
Edition
1
Year
2017
Page
XXIV, 134
ISBN
978-3-319-68467-3,978-3-319-68468-0
File Type
pdf
File Size
3.9 MiB

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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