SAPKOS: Experimental Czech Multi-label Document Classification and Analysis System
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F15%3A43926566" target="_blank" >RIV/49777513:23520/15:43926566 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-23868-5_24" target="_blank" >http://dx.doi.org/10.1007/978-3-319-23868-5_24</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-23868-5_24" target="_blank" >10.1007/978-3-319-23868-5_24</a>
Alternative languages
Result language
angličtina
Original language name
SAPKOS: Experimental Czech Multi-label Document Classification and Analysis System
Original language description
The paper presents an experimental multi-label document classification and analysis system called SAPKOS. The system integrates state-of-the-art machine learning and natural language processing approaches and is intended to be used by the Czech news Agency (ČTK). Its main purpose is to save human resources in the task of annotation of newspaper articles with topics. Another important functionality is automatic comparison of the ČTK production with popular Czech media. The results of this analysis will be used to adapt the ČTK production to better correspond to the today's market requirements. The system accuracy is very high due to the unique system architecture which integrates a maximum entropy classifier with the novel confidence measure method.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Artificial Intelligence Applications and Innovations
ISBN
978-3-319-23867-8
ISSN
1868-4238
e-ISSN
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Number of pages
14
Pages from-to
337-350
Publisher name
Springer
Place of publication
Cham
Event location
Bayonne, Francie
Event date
Sep 14, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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