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

ŽIŽKA, Jan, Aleš BOUREK and Luděk FREY. TEA: A Text Analysis Tool for the Intelligent Text Document Filtering. In Text, Speech and Dialogue. Berlin, Heidelberg, New York: Springer Verlag, 2000, p. 151-156. LNCS 1902. ISBN 3-540-41042-2.

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

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Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

20200 2.2 Electrical engineering, Electronic engineering, Information engineering

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

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

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Abstract

V originále

Text document classification using the naive Bayes classificator. Fine tuning the classification process. Results of experiments with real data.

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Links

VS97028, research and development project

Name: 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)