| Title | : | Sentiment Analysis in the Bio-Medical Domain |
|---|---|---|
| Author | : | Ranjan Satapathy, Erik Cambria & Amir Hussain |
| Release | : | 2018-01-23 |
| Kind | : | ebook |
| Genre | : | Medical, Books, Professional & Technical, Computers & Internet, Computers, Engineering |
| Size | : | 3128773 |
| 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 |
