Text-Mining Research Group

In Czech: Kategorizace textů metodou NBCI

Text Categorization using the NBCI Classifier

A new text document categorization based on inductive machine learning. Combination of the traditional Naive Bayes classifier and our novel itemsets classifier. The method was tested using Reuters-21578 collection.

Keywords: categorization, classification, classifier, inductive machine learning, itemsets, Apriori, digital library

Year: 2003

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Martin Kučera

Karel Ježek

Phone:  +420 377632475
E-mail: jezek_ka@kiv.zcu.cz
WWW: https://cs.wikipedia.org/wiki/Karel_Je%C5%BEek_(informatik)

Karel is the former group coordinator and a supervisor of PhD students working at research projects of this Group.

Jiří Hynek

Phone: +420 603492837
E-mail: jhynek@kiv.zcu.cz
WWW: http://www.kiv.zcu.cz/staff/osobni.php?id_osoby=147&lang=EN

Jiri, a co-founder of the Text-Mining Research Group, works as a lecturer at the Dept. of Computer Science and Engineering. His research interests include machine learning and language-related problems. Jiri’s teaching activity is focused on good writing style and technical writing in general.

Document Classification
Authors:	Jiří Hynek, Karel Ježek, Michal Toman, Roman Tesař, Zdeněk Češka, Petr Grolmus
Desc.:	Use of inductive machine learning methods in classification of short text documents.