Thesis Details

Deep Neural Networks Used for Customer Support Cases Analysis

Master's Thesis Student: Marušic Marek Academic Year: 2017/2018 Supervisor: Pluskal Jan, Ing.
Czech title
Zpracování zákaznických požadavků za použití hlubokých neuronových sítí
Language
English
Abstract

Artificial intelligence is remarkably popular these days. It can be used to resolve various highly complex tasks in fields such as image processing, sound processing, natural language processing, etc. Red Hat has an extensive database of resolved support cases.Therefore an idea was proposed to use these data for data mining and information retrieval in order to ease a resolution process of the support cases. In this work, various deep neural network models were created for prediction of features which could help during the resolution process. Techniques and models used in this work are described as well as their performance in the specific tasks. Comparison of individual models is outlined as well.

Keywords

Red Hat, Podpora, Zákazník, Hlboké učenie, Prirodzený jazyk, Spracovanie Prirodzeného Jazyka, Neurónové Siete, Neurón, Získavanie Znalostí z dát

Department
Degree Programme
Files
Status
defended, grade B
Date
19 June 2018
Reviewer
Committee
Sekanina Lukáš, prof. Ing., Ph.D. (DCSY FIT BUT), předseda
Burgetová Ivana, Ing., Ph.D. (DIFS FIT BUT), člen
Češka Milan, RNDr., Ph.D. (DITS FIT BUT), člen
Martínek Tomáš, Ing., Ph.D. (DCSY FIT BUT), člen
Matoušek Radomil, doc. Ing., Ph.D. (IACS FME BUT), člen
Zbořil František, doc. Ing., Ph.D. (DITS FIT BUT), člen
Citation
MARUŠIC, Marek. Deep Neural Networks Used for Customer Support Cases Analysis. Brno, 2018. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2018-06-19. Supervised by Pluskal Jan. Available from: https://www.fit.vut.cz/study/thesis/20853/
BibTeX
@mastersthesis{FITMT20853,
    author = "Marek Maru\v{s}ic",
    type = "Master's thesis",
    title = "Deep Neural Networks Used for Customer Support Cases Analysis",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2018,
    location = "Brno, CZ",
    language = "english",
    url = "https://www.fit.vut.cz/study/thesis/20853/"
}
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