Classification and Detection of Emotions in Czech News Headlines

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F10%3APU87462" target="_blank" >RIV/00216305:26220/10:PU87462 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Classification and Detection of Emotions in Czech News Headlines
Original language description
This paper deals with a detection of emotions in short Czech news headlines. The training data were Czech news headlines, which were labelled by eight independent persons with six emotional states: anger, disgust, fear, joy, sadness and surprise. Using this corpus, several learning algorithms were assessed according to their accuracy of emotion detection and emotion based classification of sentences.
Czech name
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Czech description
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Project
<a href="/en/project/FR-TI1%2F481" target="_blank" >FR-TI1/481: Advanced speech analyses technology for call centers and security services.</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
The 33rd International Conference on Telecommunication and Signal Processing, TSP 2010
ISBN
978-963-88981-0-4
ISSN
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e-ISSN
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Number of pages
509
Pages from-to
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Publisher name
Neuveden
Place of publication
Neuveden
Event location
Baden
Event date
Aug 17, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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