Thesis Details

Klasifikace dokumentů podle tématu

Bachelor's Thesis Student: Oravec Jakub Academic Year: 2007/2008 Supervisor: Smrž Pavel, doc. RNDr., Ph.D.
English title
Document Topic Classification
Language
Czech
Abstract

This bachelor's thesis deals with automatic document topic classification and provides a brief introduction to this area of research. The first part contains summary of basic techniquesused in natural language processing with emphasis on text classification methods. The next part describes concept and implementation of system for automatic document topic classification. The last part contains information about testing of created system including composition of testing set and standard metrics description.

Keywords

document topic classification, support vector machines, training set, metrics

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade A
Date
12 June 2008
Reviewer
Černocký Jan, prof. Dr. Ing.
Committee
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT), předseda
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT), člen
Lukáš Roman, Ing., Ph.D. (DIFS FIT BUT), člen
Ráček Jaroslav, RNDr., Ph.D. (FI MUNI), člen
Vojnar Tomáš, prof. Ing., Ph.D. (DITS FIT BUT), člen
Zbořil František, doc. Ing., Ph.D. (DITS FIT BUT), člen
Citation
ORAVEC, Jakub. Klasifikace dokumentů podle tématu. Brno, 2008. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2008-06-12. Supervised by Smrž Pavel. Available from: https://www.fit.vut.cz/study/thesis/4316/
BibTeX 
@bachelorsthesis{FITBT4316,
    author = "Jakub Oravec",
    type = "Bachelor's thesis",
    title = "Klasifikace dokument\r{u} podle t\'{e}matu",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2008,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/4316/"
}

Theses

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