Analýza vlivu reprezentace textu na kvalitu klasifikace pomocí metod umělé inteligence

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Analýza vlivu reprezentace textu na kvalitu klasifikace pomocí metod umělé inteligence

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dc.contributor.advisor Viktorin, Adam
dc.contributor.author Larkin, Mikhail
dc.date.accessioned 2023-12-20T13:25:28Z
dc.date.available 2023-12-20T13:25:28Z
dc.date.issued 2022-12-02
dc.identifier Elektronický archiv Knihovny UTB
dc.identifier.uri http://hdl.handle.net/10563/54287
dc.description.abstract Tato práce se zabývá analýzou vlivu metod reprezentace textu na kvalitu kvalifikace pomocí metod umělé inteligence. Cílem práce je porovnat populární metody reprezentace textu a posoudit jejich vliv na kvalitu klasifikace textu pomocí technik strojového a hlubokého učení. Byl analyzován vliv metod reprezentace textu, jako jsou Bag of Words, TF-IDF, Word2Vec, GloVe, FastText a Doc2Vec. Jako klasifikátory byly zvoleny Random Forest, Support Vector Machine, Multilayer Perceptron a Convolutional Neural Network.
dc.format 112
dc.language.iso cs
dc.publisher Univerzita Tomáše Bati ve Zlíně
dc.rights Bez omezení
dc.subject Klasifikace textu cs
dc.subject NLP cs
dc.subject BoW cs
dc.subject TF-IDF cs
dc.subject Word2Vec cs
dc.subject GloVe cs
dc.subject FastText cs
dc.subject Doc2Vec cs
dc.subject CNN cs
dc.subject MLP cs
dc.subject Random Forest cs
dc.subject SVM cs
dc.subject Text classification en
dc.subject NLP en
dc.subject BoW en
dc.subject TF-IDF en
dc.subject Word2Vec en
dc.subject GloVe en
dc.subject FastText en
dc.subject Doc2Vec en
dc.subject CNN en
dc.subject MLP en
dc.subject Random Forest en
dc.subject SVM en
dc.title Analýza vlivu reprezentace textu na kvalitu klasifikace pomocí metod umělé inteligence
dc.title.alternative Analysis of Text Representation Influence on the Quality of Classification by Artificial Intelligence Methods
dc.type diplomová práce cs
dc.contributor.referee Volná, Eva
dc.date.accepted 2023-06-15
dc.description.abstract-translated This thesis deals with the analysis of the influence of text representation methods on the quality of qualification using artificial intelligence methods. The aim of this paper is to compare popular text representation methods and assess their impact on text classification quality using machine and deep learning techniques. The influence of text representation methods such as Bag of Words, TF-IDF, Word2Vec, GloVe, FastText and Doc2Vec has been analyzed. Random Forest, Support Vector Machine, Multilayer Perceptron and Convolutional Neural Network were chosen as classifiers
dc.description.department Ústav informatiky a umělé inteligence
dc.thesis.degree-discipline Softwarové inženýrství cs
dc.thesis.degree-discipline Software Engineering en
dc.thesis.degree-grantor Univerzita Tomáše Bati ve Zlíně. Fakulta aplikované informatiky cs
dc.thesis.degree-grantor Tomas Bata University in Zlín. Faculty of Applied Informatics en
dc.thesis.degree-name Ing.
dc.thesis.degree-program Informační technologie cs
dc.thesis.degree-program Information Technologies en
dc.identifier.stag 63400
dc.date.submitted 2023-05-25


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