Thesis Details

Automatické hodnocení humoru

Bachelor's Thesis Student: Katrňák Josef Academic Year: 2020/2021 Supervisor: Dočekal Martin, Ing.
English title
Automatic Humor Evaluation
Language
Czech
Abstract

The aim of this thesis is to create a system for automatic humor evaluation. The system allow to predict humor and category for english input. The main essence is to create a classifier and train the model with the created datasets to get the best possible results. The classifier architecture is based on neural networks. The system also includes a web user interface for communication with the user. The result is a web application linked to a classifier that allows user input to be evaluated and user feedback to be provided.

Keywords

humor evaluation, classification, natural language processing, deep learning, neural networks, transformer, BERT

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade C
Date
16 June 2021
Reviewer
Ondřej Karel, 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
KATRŇÁK, Josef. Automatické hodnocení humoru. Brno, 2021. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2021-06-16. Supervised by Dočekal Martin. Available from: https://www.fit.vut.cz/study/thesis/23794/
BibTeX 
@bachelorsthesis{FITBT23794,
    author = "Josef Katr\v{n}\'{a}k",
    type = "Bachelor's thesis",
    title = "Automatick\'{e} hodnocen\'{i} humoru",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2021,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/23794/"
}

Theses

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