Thesis Details

Klasifikace dokumentů pomocí umělé inteligence

Bachelor's Thesis Student: Molnár Ondřej Academic Year: 2018/2019 Supervisor: Třeštíková Lenka, Ing.
English title
Artificial Intelligence Document Classification
Language
Czech
Abstract

This paper deals with document classification using artificial intelligence. It describes theprinciples of classification and machine learning. It also introduces AI methods and presentsNaive Bayes classification method in detail. Provides practical implementation of theclassifier in MS Office and discusses other possible extensions.

Keywords

Artificial intelligence, AI, Text Classification, Document classification, Classifier, Naive Bayes,Machine learning, Natural language processing

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade B
Date
11 June 2019
Reviewer
Kačic Matej, Ing., Ph.D.
Committee
Hanáček Petr, doc. Dr. Ing. (DITS FIT BUT), předseda
Chudý Peter, doc. Ing., Ph.D. MBA (DCGM FIT BUT), člen
Kekely Lukáš, Ing., Ph.D. (DCSY FIT BUT), člen
Strnadel Josef, Ing., Ph.D. (DCSY FIT BUT), člen
Trchalík Roman, Mgr., Ph.D. (DIFS FIT BUT), člen
Citation
MOLNÁR, Ondřej. Klasifikace dokumentů pomocí umělé inteligence. Brno, 2019. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2019-06-11. Supervised by Třeštíková Lenka. Available from: https://www.fit.vut.cz/study/thesis/21830/
BibTeX 
@bachelorsthesis{FITBT21830,
    author = "Ond\v{r}ej Moln\'{a}r",
    type = "Bachelor's thesis",
    title = "Klasifikace dokument\r{u} pomoc\'{i} um\v{e}l\'{e} inteligence",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2019,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/21830/"
}

Theses

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