TEA: A Text Analysis Tool for the Intelligent Text Document Filtering

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Authors

ŽIŽKA Jan BOUREK Aleš FREY Luděk

Year of publication 2000
Type Article in Proceedings
Conference Text, Speech and Dialogue
MU Faculty or unit

Faculty of Informatics

Citation
Field Use of computers, robotics and its application
Keywords machine learning; text document classification; naive Bayes classificator; medical text documents
Description Text document classification using the naive Bayes classificator. Fine tuning the classification process. Results of experiments with real data.
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