Thesis Details

Shlukování slov podle významu

Bachelor's Thesis Student: Haljuk Petr Academic Year: 2014/2015 Supervisor: Smrž Pavel, doc. RNDr., Ph.D.
English title
Word Sense Clustering
Language
Czech
Abstract

This Bachelor's thesis deals with the semantic similarity of words. It describes the design and the implementation of a system, which searches for the most similar words and measures the semantic similarity of words. The system uses the Word2Vec model from GenSim library. It learns the relations among words from CommonCrawl corpus.

Keywords 
natural language processing, semantic similarity, GenSim, Word2Vec
Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade C
Date
18 June 2015
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
Drábek Vladimír, doc. Ing., CSc. (DCSY FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Citation
HALJUK, Petr. Shlukování slov podle významu. Brno, 2015. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2015-06-18. Supervised by Smrž Pavel. Available from: https://www.fit.vut.cz/study/thesis/17717/
BibTeX 
@bachelorsthesis{FITBT17717,
    author = "Petr Haljuk",
    type = "Bachelor's thesis",
    title = "Shlukov\'{a}n\'{i} slov podle v\'{y}znamu",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2015,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/17717/"
}

Theses

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