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Semantic Recognition of Comments on the Web
Stříteský, Radek ; Harár, Pavol (referee) ; Povoda, Lukáš (advisor)
The main goal of this paper is the identification of comments on internet websites. The theoretical part is focused on artificial intelligence, mainly classifiers are described there. The practical part deals with creation of training database, which is formed by using generators of features. A generated feature might be for example a title of the HTML element where the comment is. The training database is created by input of classifiers. The result of this paper is testing classifiers in the RapidMiner program.
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Deep Learning for Text Classification
Kolařík, Martin ; Harár, Pavol (referee) ; Povoda, Lukáš (advisor)
Thesis focuses on analysis of contemporary machine learning methods used for text classification based on emotion and testing several deep neural nework architectures. Outcome of this thesis is a neural network architecture, which is tuned for using with text data and which had the best result of 79,94 percent. Proposed method is language independent and it doesn’t require as precisely classified training datasets as current methods. Training and testing datasets were consisted of short amateur movie reviews in Czech and in English. Thesis contains also overview of theoretical basics for convolutional neural networks and history of neural networks and language processing Scripts were written in Python, neural networks were simulated using Keras library and Theano framework. We used CUDA for better performance.
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Android application for measuring user satisfaction with mobile data service
Kunc, Jaroslav ; Povoda, Lukáš (referee) ; Červenák, Rastislav (advisor)
The bachelor thesis focuses on user satisfaction with mobile data services. The thesis in this context explains the terms of Quality of Service, Quality of Experience and Crowdsourcing. An another part of a thesis is focusing on describing the development of applications for the Android platform, including the distribution and application testing. In the practical part of thesis, the application for the Android platform is created and it is predicting the user satisfaction with mobile data services on the basis of an analytical model for calculating MOS (Mean Opinion Score).
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Automatic recognition of meaning in texts
Jeleček, Jiří ; Dvořák, Pavel (referee) ; Povoda, Lukáš (advisor)
As part of this work it was designed and implemented a system using data mining techniques from the text in order to detect emotions in Czech, English and German language texts. Because the system is built mostly on machine learning techniques, was designed and created training set, which was later used to build the model classifier using the selected algorithms.
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Detection of racist symbols in pictures
Klapal, Matěj ; Říha, Kamil (referee) ; Povoda, Lukáš (advisor)
Goal of this thesis is detector of racist symbols from the picture using functions from the open source library OpenCV. Text also summarizes description of basic processes of image processing via computers. This text contains descriptions of some methods from the library allowing us to train and afterwards detect and localize requested object. This text also compares accuracy of detection using Haar-like features, Local Binary Patterns (LBP) and histogram of oriented gradients. Text also summarizes results of a test of detection for three supported symbols, swastika, signs of SS and triskelion.
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Procedural programming in database
Nimrichter, Adam ; Povoda, Lukáš (referee) ; Uher, Václav (advisor)
Thesis deals with verification of concept of performing calculations inside database. Describes PostgreSQL database, its features and procedural language PL/pgSQL. Also focuses on machine learning methods, implementation of forward selection algorithm and verification of his functionality. Frequently used tool is MADlib, which is an open-source library of scalable in-database algorithms for machine learning, statistics and other analytic tasks.
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Electronic Booking System for Laboratories and Laboratory Equipment
Povoda, Lukáš ; Mach, Václav (referee) ; Schimmel, Jiří (advisor)
The main aim of this paper is to create the database structure and the web interface of the reservation system. This system is for the reservation of the laboratories and of the measuring equipement (for hire). System was created by the most widely language intended for creating Web application - language PHP, and database system MySQL, specifficaly base on the storage system InnoDB formed for relation database and the transaction. This paper descbires the princip of the work of modern patterns like Model-View-Presenter or Dependency injection and their both practical use. The code of the web application has been based on PHP framework Nette, on PHP library dibi created for database MySQL, on library mPDF created for generation of the PDF files from HTML code. System has been created according to convention of framework Nette and already mentioned design pattern, so it means that all changes such as spreading, changes of implemented funcions, changes of design of web interface, work with the datas or implemenation of the new interface and of new funcions will be simpler and take less time then for example the use of the system without convention and pattern.
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Game Web Portal - Object-oriented Programming
Hůla, Vladimír ; Galáž, Zoltán (referee) ; Povoda, Lukáš (advisor)
This thesis deals with design and implementation of programming structure of game web portal. The web portal will serve as a communication and information center to simplify coordination among players and allow them to gain new experience. In the thesis are analyzed the needs of players, existing solutions and their drawbacks. The results of this analysis are used to design individual functions of the portal. Implementation of the most important parts of the website has been described, the implementation of these parts were evaluated and some enhancemets were eventually suggested. In the end of this thesis several functionalities were suggested, which could extend the portal in the future.
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