Sentiment Analysis in the Bio-Medical Domain [electronic resource] : Techniques, Tools, and Applications
Başlık
:
Sentiment Analysis in the Bio-Medical Domain [electronic resource] : Techniques, Tools, and Applications
ISBN
:
9783319684680
Yazar
:
Satapathy, Ranjan. author.
Fiziksel Açıklamalar
:
XXIV, 134 p. 45 illus., 33 illus. in color. online resource.
Dizi Bildirim
:
Socio-Affective Computing, 7
Genel Not
:
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.
Özet
:
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.
Konu Terimleri
:
Medicine.
Engineering.
Computer science.
Biomedicine general. http://scigraph.springernature.com/things/product-market-codes/B0000X
Computational Intelligence. http://scigraph.springernature.com/things/product-market-codes/T11014
Computer Science, general. http://scigraph.springernature.com/things/product-market-codes/I00001
Ek Yazar
:
Cambria, Erik.
Hussain, Amir.
Ek Kurum Yazarı
:
SpringerLink (Online service)
Elektronik Erişim
:
Kütüphane | Materyal Türü | Demirbaş | Yer Numarası | Durumu/İade Tarihi |
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Elektronik Kütüphane | E-Kitap | 74344-1001 | R -RZ | Springer Natura E-Book |