Sentiment Analysis in the Bio-Medical Domain

Techniques, Tools, and Applications de

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Éditeur :

Springer


Collection :

Socio-Affective Computing

Paru le : 2018-01-23

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Description

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
Pages
134 pages
Collection
Socio-Affective Computing
Parution
2018-01-23
Marque
Springer
EAN papier
9783319684673
EAN PDF
9783319684680

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
13
Taille du fichier
4004 Ko
Prix
147,69 €
EAN EPUB
9783319684680

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
13
Taille du fichier
2734 Ko
Prix
147,69 €