ŽIŽKA, Jan and Aleš BOUREK. Filtering of Large Numbers of Unstructured Text Documents by the Developed Tool TEA. In Text, Speech and Dialogue TSD-2002. Berlin Heidelberg New York: Springer Verlag, 2002, p. 99-106. ISBN 3-540-44129-8.
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Basic information
Original name Filtering of Large Numbers of Unstructured Text Documents by the Developed Tool TEA
Authors ŽIŽKA, Jan (203 Czech Republic, guarantor) and Aleš BOUREK (203 Czech Republic).
Edition Berlin Heidelberg New York, Text, Speech and Dialogue TSD-2002, p. 99-106, 2002.
Publisher Springer Verlag
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 20200 2.2 Electrical engineering, Electronic engineering, Information engineering
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
RIV identification code RIV/00216224:14110/02:00005726
Organization unit Faculty of Medicine
ISBN 3-540-44129-8
Keywords in English medical text analysis; medical text filtering; medical text classification
Tags medical text analysis, medical text classification, medical text filtering
Changed by Changed by: doc. Ing. Jan Žižka, CSc., učo 2431. Changed: 8/9/2004 16:48.
Abstract
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.
Links
MSM 143300003, plan (intention)Name: Interakce člověka s počítačem, dialogové systémy a asistivní technologie
Investor: Ministry of Education, Youth and Sports of the CR, Human-computer interaction, dialog systems and assistive technologies
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