Thesis Details

Aggregation and Analysis of Social Network Contents

Bachelor's Thesis Student: Horák Matěj Academic Year: 2018/2019 Supervisor: Burget Radek, doc. Ing., Ph.D.
Czech title
Aggregation and Analysis of Social Network Contents
Language
English
Abstract

This thesis is focused on getting selected parts of social media content and their analysis. The thesis is aiming for a platform which is connecting individual social networks, aggregating their content by defined topics and which is opened for next improvements and extensions. A solution is a multi-container application that uses multi-label classification and support vector machines. The implemented system solves not shown content, filtering, and small statistics. Key parts are covered by tests and the system is opened for other analysis and advanced statistics.

Keywords

Social Networks, Text Topic Analysis, Support Vector Machines, REST, Docker

Department
Degree Programme
Information Technology
Files
Status
defended, grade C
Date
10 June 2019
Reviewer
Committee
Kolář Dušan, doc. Dr. Ing. (DIFS FIT BUT), předseda
Burgetová Ivana, Ing., Ph.D. (DIFS FIT BUT), člen
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT), člen
Peringer Petr, Dr. Ing. (DITS FIT BUT), člen
Vašíček Zdeněk, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Citation
HORÁK, Matěj. Aggregation and Analysis of Social Network Contents. Brno, 2019. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2019-06-10. Supervised by Burget Radek. Available from: https://www.fit.vut.cz/study/thesis/21491/
BibTeX
@bachelorsthesis{FITBT21491,
    author = "Mat\v{e}j Hor\'{a}k",
    type = "Bachelor's thesis",
    title = "Aggregation and Analysis of Social Network Contents",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2019,
    location = "Brno, CZ",
    language = "english",
    url = "https://www.fit.vut.cz/study/thesis/21491/"
}
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