Thesis Details

Analýza dat ze sociálních sítí

Bachelor's Thesis Student: Skyva Petr Academic Year: 2015/2016 Supervisor: Smrž Pavel, doc. RNDr., Ph.D.
English title
Analysing Data from Social Networks
Language
Czech
Abstract

The goal of this bachelor thesis is to examine social networks, propound and implement the system, which manage acquire,index and analyze downloaded data. Created system is demonstrated on examples with computer games and it is implemented with Python programming language, where for indexing is using ElasticSearch.

Keywords

Twitter, Facebook, data downloading, data analysis, data indexing, automatic clasification, trend analysis, result visualisation, Python, ElasticSearch, JSON.

Department
Degree Programme
Information Technology
Files
Status
defended, grade E
Date
15 June 2016
Reviewer
Committee
Meduna Alexander, prof. RNDr., CSc. (DIFS FIT BUT), předseda
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Holík Lukáš, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
Citation
SKYVA, Petr. Analýza dat ze sociálních sítí. Brno, 2016. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2016-06-15. Supervised by Smrž Pavel. Available from: https://www.fit.vut.cz/study/thesis/18664/
BibTeX
@bachelorsthesis{FITBT18664,
    author = "Petr Skyva",
    type = "Bachelor's thesis",
    title = "Anal\'{y}za dat ze soci\'{a}ln\'{i}ch s\'{i}t\'{i}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2016,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/18664/"
}
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