Thesis Details

Analýza postojů českých uživatelů k obchodním řetězcům na základě dat ze sociálních sítí a webových diskusí

Master's Thesis Student: Bolješik Michal Academic Year: 2016/2017 Supervisor: Smrž Pavel, doc. RNDr., Ph.D.
English title
Sentiment Analysis of Czech Social Networks and Web Discussions on Retail Chains
Language
Czech
Abstract

The goal of this thesis is to design and implement a system that analyses data from the web mentioning Czech grocery chain stores. Implemented system is able to download such data automatically, perform sentiment analysis of the data, extract locations and chain stores' names from the data and index the data. The system also includes a user interface showing results of the analyses. The first part of the thesis surveys the state of the art in collecting data from web, sentiment analysis and indexing documents. A description of the discussed system's design and its implementation follows. The last part of the thesis evaluates implemented system

Keywords

web scraping, sentiment analysis, indexing, Czech grocery chain stores, Python

Department
Degree Programme
Information Technology, Field of Study Information Systems
Files
Status
defended, grade D
Date
19 June 2017
Reviewer
Committee
Kolář Dušan, doc. Dr. Ing. (DIFS FIT BUT), předseda
Burget Radek, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Hruška Tomáš, prof. Ing., CSc. (DIFS FIT BUT), člen
Janoušek Vladimír, doc. Ing., Ph.D. (DITS FIT BUT), člen
Matoušek Petr, doc. Ing., Ph.D., M.A. (DIFS FIT BUT), člen
Polášek Ivan, doc. Ing., Ph.D. (FIIT STU), člen
Citation
BOLJEŠIK, Michal. Analýza postojů českých uživatelů k obchodním řetězcům na základě dat ze sociálních sítí a webových diskusí. Brno, 2017. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2017-06-19. Supervised by Smrž Pavel. Available from: https://www.fit.vut.cz/study/thesis/18873/
BibTeX
@mastersthesis{FITMT18873,
    author = "Michal Bolje\v{s}ik",
    type = "Master's thesis",
    title = "Anal\'{y}za postoj\r{u} \v{c}esk\'{y}ch u\v{z}ivatel\r{u} k obchodn\'{i}m \v{r}et\v{e}zc\r{u}m na z\'{a}klad\v{e} dat ze soci\'{a}ln\'{i}ch s\'{i}t\'{i} a webov\'{y}ch diskus\'{i}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2017,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/18873/"
}
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