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02655nam a22004815i 4500 |
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978-3-319-68468-0 |
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DE-He213 |
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20180123105900.0 |
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180123s2017 gw | s |||| 0|eng d |
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|a 9783319684680
|9 978-3-319-68468-0
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|a 10.1007/978-3-319-68468-0
|2 doi
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|d GrThAP
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|a R-RZ
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|a MBGR
|2 bicssc
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|a MED000000
|2 bisacsh
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|a 610
|2 23
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|a Satapathy, Ranjan.
|e author.
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|a Sentiment Analysis in the Bio-Medical Domain
|h [electronic resource] :
|b Techniques, Tools, and Applications /
|c by Ranjan Satapathy, Erik Cambria, Amir Hussain.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2017.
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300 |
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|a XXIV, 134 p. 45 illus., 33 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Socio-Affective Computing,
|x 2509-5706 ;
|v 7
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520 |
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|a 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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|a Medicine.
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|a Computer science.
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|a Computational intelligence.
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|a Biomedicine.
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|a Biomedicine general.
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|a Computational Intelligence.
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|a Computer Science, general.
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700 |
1 |
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|a Cambria, Erik.
|e author.
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1 |
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|a Hussain, Amir.
|e author.
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
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|t Springer eBooks
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776 |
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8 |
|i Printed edition:
|z 9783319684673
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830 |
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|a Socio-Affective Computing,
|x 2509-5706 ;
|v 7
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856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-3-319-68468-0
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-SBL
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950 |
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|a Biomedical and Life Sciences (Springer-11642)
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