Publication details

Filtering of Large Numbers of Unstructured Text Documents by the Developed Tool TEA

Authors

ŽIŽKA Jan BOUREK Aleš

Year of publication 2002
Type Article in Proceedings
Conference Text, Speech and Dialogue TSD-2002
MU Faculty or unit

Faculty of Medicine

Citation
Field Use of computers, robotics and its application
Keywords medical text analysis; medical text filtering; medical text classification
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.
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