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@inproceedings{403529, author = {Žižka, Jan and Bourek, Aleš}, address = {Berlin Heidelberg New York}, booktitle = {Text, Speech and Dialogue TSD-2002}, keywords = {medical text analysis; medical text filtering; medical text classification}, language = {eng}, location = {Berlin Heidelberg New York}, isbn = {3-540-44129-8}, pages = {99-106}, publisher = {Springer Verlag}, title = {Filtering of Large Numbers of Unstructured Text Documents by the Developed Tool TEA}, year = {2002} }
TY - JOUR ID - 403529 AU - Žižka, Jan - Bourek, Aleš PY - 2002 TI - Filtering of Large Numbers of Unstructured Text Documents by the Developed Tool TEA PB - Springer Verlag CY - Berlin Heidelberg New York SN - 3540441298 KW - medical text analysis KW - medical text filtering KW - medical text classification N2 - 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. ER -
ŽIŽKA, Jan and Aleš BOUREK. Filtering of Large Numbers of Unstructured Text Documents by the Developed Tool TEA. In \textit{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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