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@inproceedings{351351, author = {Žižka, Jan and Bourek, Aleš and Frey, Luděk}, address = {Berlin, Heidelberg, New York}, booktitle = {Text, Speech and Dialogue}, keywords = {machine learning; text document classification; naive Bayes classificator; medical text documents}, language = {eng}, location = {Berlin, Heidelberg, New York}, isbn = {3-540-41042-2}, pages = {151-156}, publisher = {Springer Verlag}, title = {TEA: A Text Analysis Tool for the Intelligent Text Document Filtering}, year = {2000} }
TY - JOUR ID - 351351 AU - Žižka, Jan - Bourek, Aleš - Frey, Luděk PY - 2000 TI - TEA: A Text Analysis Tool for the Intelligent Text Document Filtering VL - LNCS 1902 PB - Springer Verlag CY - Berlin, Heidelberg, New York SN - 3540410422 KW - machine learning KW - text document classification KW - naive Bayes classificator KW - medical text documents N2 - Text document classification using the naive Bayes classificator. Fine tuning the classification process. Results of experiments with real data. ER -
ŽIŽKA, Jan, Aleš BOUREK a Luděk FREY. TEA: A Text Analysis Tool for the Intelligent Text Document Filtering. In \textit{Text, Speech and Dialogue}. Berlin, Heidelberg, New York: Springer Verlag, 2000, s.~151-156. LNCS 1902. ISBN~3-540-41042-2.
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