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02565nam a22005175i 4500 |
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978-94-007-5070-8 |
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20151204172855.0 |
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120728s2012 ne | s |||| 0|eng d |
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|a 9789400750708
|9 978-94-007-5070-8
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|a 10.1007/978-94-007-5070-8
|2 doi
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|d GrThAP
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|a R-RZ
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|a MED000000
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|a 610
|2 23
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|a Cambria, Erik.
|e author.
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|a Sentic Computing
|h [electronic resource] :
|b Techniques, Tools, and Applications /
|c by Erik Cambria, Amir Hussain.
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|a Dordrecht :
|b Springer Netherlands :
|b Imprint: Springer,
|c 2012.
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|a XVIII, 153 p. 39 illus., 35 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
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|a text file
|b PDF
|2 rda
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|a SpringerBriefs in Cognitive Computation,
|x 2212-6023 ;
|v 2
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|a In this book common sense computing techniques are further developed and applied to bridge the semantic gap between word-level natural language data and the concept-level opinions conveyed by these. In particular, the ensemble application of graph mining and multi-dimensionality reduction techniques is exploited on two common sense knowledge bases to develop a novel intelligent engine for open-domain opinion mining and sentiment analysis. The proposed approach, termed sentic computing, performs a clause-level semantic analysis of text, which allows the inference of both the conceptual and emotional information associated with natural language opinions and, hence, a more efficient passage from (unstructured) textual information to (structured) machine-processable data.
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|a Medicine.
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|a Data mining.
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|a Mathematics.
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|a Linguistics.
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|a Cognitive psychology.
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|a Biomedicine.
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|a Biomedicine general.
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|a Data Mining and Knowledge Discovery.
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|a Mathematics, general.
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|a Linguistics, general.
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|a Cognitive Psychology.
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|a Hussain, Amir.
|e author.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9789400750692
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|a SpringerBriefs in Cognitive Computation,
|x 2212-6023 ;
|v 2
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856 |
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|u http://dx.doi.org/10.1007/978-94-007-5070-8
|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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