Thesis Details

Shlukování slov podle významu

Bachelor's Thesis Student: Hošták Viliam Samuel Academic Year: 2016/2017 Supervisor: Smrž Pavel, doc. RNDr., Ph.D.
English title
Word Sense Clustering
Language
Czech
Abstract

This thesis deals with semantic similarity of words. It describes and compares existing models that are currently used for this purpose. It discusses the design and implementation of the system for corpus preprocessing, semantic modelling and retrieval of semantically related words. The system that has been created supports the use of distributional semantic models Word2vec, FastText and Glove.

Keywords

natural language processing, semantic similarity, Word2vec, FastText, GloVe, Gensim

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade A
Date
14 June 2017
Reviewer
Otrusina Lubomír, Ing.
Committee
Zbořil František V., doc. Ing., CSc. (DITS FIT BUT), předseda
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Hliněná Dana, doc. RNDr., Ph.D. (DMAT FEEC BUT), člen
Matoušek Petr, doc. Ing., Ph.D., M.A. (DIFS FIT BUT), člen
Zachariášová Marcela, Ing., Ph.D. (DCSY FIT BUT), člen
Citation
HOŠTÁK, Viliam. Shlukování slov podle významu. Brno, 2017. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2017-06-14. Supervised by Smrž Pavel. Available from: https://www.fit.vut.cz/study/thesis/14835/
BibTeX 
@bachelorsthesis{FITBT14835,
    author = "Samuel Viliam Ho\v{s}t\'{a}k",
    type = "Bachelor's thesis",
    title = "Shlukov\'{a}n\'{i} slov podle v\'{y}znamu",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2017,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/14835/"
}

Theses

Back to top