This thesis is dealing text ranking on the internet background. There are described available methods for classification and splitting of the text reports. The part of this thesis is implementation of Bayes naive algorithm and classifier using neuron nets. Selected methods are compared considering their error rate or other ranking features.
Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:235908 |
Date | January 2008 |
Creators | Margold, Tomáš |
Contributors | Bartík, Vladimír, Burget, Radek |
Publisher | Vysoké učení technické v Brně. Fakulta informačních technologií |
Source Sets | Czech ETDs |
Language | Czech |
Detected Language | English |
Type | info:eu-repo/semantics/masterThesis |
Rights | info:eu-repo/semantics/restrictedAccess |
Page generated in 0.0019 seconds