Thesis Details

Analýza postojů v oblasti automobilového průmyslu

Bachelor's Thesis Student: Bezák Adam Academic Year: 2016/2017 Supervisor: Smrž Pavel, doc. RNDr., Ph.D.
English title
Sentiment Analysis in Automotive Industry
Language
Czech
Abstract

The main theme of this thesis is to familiarize with the basic methods of sentiment analysis on social networks. Thesis's theme is aimed on the automotive industry, although this prinicipal can be used in any different examined branch. The basis of the practical part is to obtain data from the social networks, analyze them and then index them into ElasticSearch database. Another goal of the thesis is to visualize these data by means of a web portal. Created web portal provides various statistics of the leading automobile brands, an overview of new trends or the aspect visualization of the individual cars.

Keywords

Twitter, Facebook, data extraction, sentiment analysis, visualization, machine learning, lexicon

Department
Degree Programme
Information Technology
Files
Status
defended, grade E
Date
13 June 2017
Reviewer
Committee
Honzík Jan M., prof. Ing., CSc. (DIFS FIT BUT), předseda
Janoušek Vladimír, doc. Ing., Ph.D. (DITS FIT BUT), člen
Novák Michal, doc. RNDr., Ph.D. (DMAT FEEC BUT), člen
Strnadel Josef, Ing., Ph.D. (DCSY FIT BUT), člen
Szőke Igor, Ing., Ph.D. (DCGM FIT BUT), člen
Citation
BEZÁK, Adam. Analýza postojů v oblasti automobilového průmyslu. Brno, 2017. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2017-06-13. Supervised by Smrž Pavel. Available from: https://www.fit.vut.cz/study/thesis/19608/
BibTeX
@bachelorsthesis{FITBT19608,
    author = "Adam Bez\'{a}k",
    type = "Bachelor's thesis",
    title = "Anal\'{y}za postoj\r{u} v oblasti automobilov\'{e}ho pr\r{u}myslu",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2017,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/19608/"
}
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