Confidence Measure for Czech Document Classification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F15%3A43925838" target="_blank" >RIV/49777513:23520/15:43925838 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-18117-2_39" target="_blank" >http://dx.doi.org/10.1007/978-3-319-18117-2_39</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-18117-2_39" target="_blank" >10.1007/978-3-319-18117-2_39</a>
Alternative languages
Result language
angličtina
Original language name
Confidence Measure for Czech Document Classification
Original language description
This paper deals with automatic document classification in the context of a real application for the Czech News Agency (ČTK). The accuracy our classifier is high, however it is still important to improve the classification results. The main goal of thispaper is thus to propose novel confidence measure approaches in order to detect and remove incorrectly classified samples. Two proposed methods are based on the posterior class probability and the third one is a supervised approach which uses another classifier to determine if the result is correct. The methods are evaluated on a Czech newspaper corpus. We experimentally show that it is beneficial to integrate the novel approaches into the document classification task because they significantly improvethe classification accuracy.
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/ED1.1.00%2F02.0090" target="_blank" >ED1.1.00/02.0090: NTIS - New Technologies for 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
Computational Linguistics and Intelligent Text Processing
ISBN
978-3-319-18116-5
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
525-534
Publisher name
Springer
Place of publication
Cham
Event location
Cairo
Event date
Apr 14, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000362442800039