Thesis Details

Analýza recenzí výrobků

Master's Thesis Student: Klocok Andrej Academic Year: 2019/2020 Supervisor: Smrž Pavel, doc. RNDr., Ph.D.
Language
Slovak
Abstract

Online store customers generate vast amounts of product and service information through reviews, which are an important source of feedback. This thesis deals with the creation of a system for the analysis of product and shop reviews in the czech language. It describes the current methods of sentiment analysis and builds on current solutions. The resulting system implements automatic data download and their indexing, subsequently sentiment analysis together with text summary in the form of clustering of similar sentences based on vector representation of the text. A graphical user interface in the form of a web page is also included. A review data set with a total of more than six million reviews was created during the semester along with an interface for easy data export.

Keywords

natural language processing, review, sentiment analysis, clasification, web scrapping, machine learning, text representation

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology, Field of Study Information Systems
Files
Status
defended, grade C
Date
17 July 2020
Reviewer
Doležal Jan, Ing.
Committee
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), předseda
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Chudý Peter, doc. Ing., Ph.D. MBA (DCGM FIT BUT), člen
Peringer Petr, Dr. Ing. (DITS FIT BUT), člen
Rychlý Marek, RNDr., Ph.D. (DIFS FIT BUT), člen
Veselý Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Citation
KLOCOK, Andrej. Analýza recenzí výrobků. Brno, 2020. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2020-07-17. Supervised by Smrž Pavel. Available from: https://www.fit.vut.cz/study/thesis/22451/
BibTeX 
@mastersthesis{FITMT22451,
    author = "Andrej Klocok",
    type = "Master's thesis",
    title = "Anal\'{y}za recenz\'{i} v\'{y}robk\r{u}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2020,
    location = "Brno, CZ",
    language = "slovak",
    url = "https://www.fit.vut.cz/study/thesis/22451/"
}

Theses

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