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Sentiment Analysis in the Bio-Medical Domain

Techniques, Tools, and Applications

Ranjan Satapathy

Erik Cambria

Amir Hussain

Jezik

Engleski

Knjiga Meki uvez

Libristo kod: 21163503

Nakladnici Springer International Publishing AG, lipanj 2019

The abundance of text available in social media and health-related forums and blogs have recently at... Cijeli opis

Libristo kod: 21163503

373 b

153.59 €

Vanjske zalihe Šaljemo za 8-11 dana

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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