Thesis Details

Odhad emocí z textu

Bachelor's Thesis Student: Dufková Aneta Academic Year: 2019/2020 Supervisor: Szőke Igor, Ing., Ph.D.
English title
Estimation of Emotions from a Text
Language
Czech
Abstract

This thesis describes a process of estimation of emotions from a text using machine learning. The process starts with research of existing methods, continues with choosing a suitable method and experimenting. It uses several datasets, combines them and tests different techniques of text preprocessing. The result is a web interface which uses the pretrained model and allows to estimate emotions from Twitter posts.

Keywords

stimation of emotions, sentiment analysis, text mining, text preprocessing, natural language processing

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade A
Date
10 July 2020
Reviewer
Fajčík Martin, Ing.
Committee
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT), předseda
Češka Milan, doc. RNDr., Ph.D. (DITS FIT BUT), člen
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Orság Filip, Ing., Ph.D. (DITS FIT BUT), člen
Rychlý Marek, RNDr., Ph.D. (DIFS FIT BUT), člen
Citation
DUFKOVÁ, Aneta. Odhad emocí z textu. Brno, 2020. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2020-07-10. Supervised by Szőke Igor. Available from: https://www.fit.vut.cz/study/thesis/22881/
BibTeX 
@bachelorsthesis{FITBT22881,
    author = "Aneta Dufkov\'{a}",
    type = "Bachelor's thesis",
    title = "Odhad emoc\'{i} z textu",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2020,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/22881/"
}

Theses

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