Filtering of Large Numbers of Unstructured Text Documents by the Developed Tool TEA
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F02%3A00005726" target="_blank" >RIV/00216224:14110/02:00005726 - 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
Filtering of Large Numbers of Unstructured Text Documents by the Developed Tool TEA
Original language description
Text-document-filtering system based on the Bayes classification method with additional functions for classification of unstructured medical texts. The system uses supervised learning based on data examles.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2002
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Text, Speech and Dialogue TSD-2002
ISBN
3-540-44129-8
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
99
Publisher name
Springer Verlag
Place of publication
Berlin Heidelberg New York
Event location
September 2002, Brno, Czech Republic
Event date
Jan 1, 2002
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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