ŽIŽKA, Jan, Aleš BOUREK and Luděk FREY. TEA: A Text Analysis Tool for the Intelligent Text Document Filtering. Online. In Text, Speech and Dialogue. Berlin, Heidelberg, New York: Springer Verlag, 2000. p. 151-156. LNCS 1902. ISBN 3-540-41042-2. [citováno 2024-04-23]
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Basic information
Original name TEA: A Text Analysis Tool for the Intelligent Text Document Filtering
Authors ŽIŽKA, Jan, Aleš BOUREK and Luděk FREY
Edition Berlin, Heidelberg, New York, Text, Speech and Dialogue, p. 151-156, LNCS 1902, 2000.
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/00216224:14330/00:00002933
Organization unit Faculty of Informatics
ISBN 3-540-41042-2
UT WoS 000170595900026
Keywords in English machine learning; text document classification; naive Bayes classificator; medical text documents
Tags machine learning, medical text documents, naive Bayes classificator, text document classification
Changed by Changed by: doc. Ing. Jan Žižka, CSc., učo 2431. Changed: 22/2/2001 18:46.
Abstract
Text document classification using the naive Bayes classificator. Fine tuning the classification process. Results of experiments with real data.
Links
VS97028, research and development projectName: Laboratoř zpracování přirozeného jazyka (s aplikacemi pro podporu výuky zrakově postižených)
Investor: Ministry of Education, Youth and Sports of the CR, Natural Language Processing Laboratory (with applications supporting education of people with limited sight)
PrintDisplayed: 23/4/2024 16:01