Opinion Mining on the Web 2.0 - Characteristics of User Generated Content and Their Impacts
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31130%2F13%3A00042311" target="_blank" >RIV/61384399:31130/13:00042311 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007/978-3-642-39146-0_4" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-642-39146-0_4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-39146-0_4" target="_blank" >10.1007/978-3-642-39146-0_4</a>
Alternative languages
Result language
angličtina
Original language name
Opinion Mining on the Web 2.0 - Characteristics of User Generated Content and Their Impacts
Original language description
Main topics of the document: opinion mining; user generated content; sentiment analysis; text mining; content extraction; language detection; internet slang
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
AE - Management, administration and clerical work
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data
ISBN
978-3-642-39145-3
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
35-46
Publisher name
Springer
Place of publication
Heidelberg
Event location
Maribor
Event date
Jul 1, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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