Identifying Expression of Emotions in Czech Text Using Semantic Relations for Dimension Reduction
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F11%3APU91444" target="_blank" >RIV/00216305:26220/11:PU91444 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Identifying Expression of Emotions in Czech Text Using Semantic Relations for Dimension Reduction
Original language description
Since the amount of information stored in the form of electronic text documents has been rapidly growing over the past few years, there is an increasing demand for tools enabling to automatically analyze these documents and benefit from their emotional content. This paper describes experiments concerned with an automatic analysis of emotions in Czech text. The selected method has some characteristics of hybrid approach to emotion recognition as it is not only based on machine learning but also utilizesa lexical database and derived domain dictionaries. A fundamental part of machine learning methods is training data set and therefore the creation of an emotional corpus is described as well. The purpose of this paper is to introduce implemented system,present and evaluate achieved results of classification of text documents into defined emotion classes.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BD - Information theory
OECD FORD branch
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Result continuities
Project
<a href="/en/project/FR-TI2%2F679" target="_blank" >FR-TI2/679: *Media-informatics system supporting advanced multimedia services</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Elektrorevue - Internetový časopis (http://www.elektrorevue.cz)
ISSN
1213-1539
e-ISSN
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Volume of the periodical
2011
Issue of the periodical within the volume
1
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
7
Pages from-to
1-7
UT code for WoS article
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EID of the result in the Scopus database
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