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Analysis of Product Reviews
Klocok, Andrej ; Doležal, Jan (referee) ; Smrž, Pavel (advisor)
Online store customers generate vast amounts of product and service information through reviews, which are an important source of feedback. This thesis deals with the creation of a system for the analysis of product and shop reviews in the czech language. It describes the current methods of sentiment analysis and builds on current solutions. The resulting system implements automatic data download and their indexing, subsequently sentiment analysis together with text summary in the form of clustering of similar sentences based on vector representation of the text. A graphical user interface in the form of a web page is also included. A review data set with a total of more than six million reviews was created during the semester along with an interface for easy data export.
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Diversity of European pseudoscorpions (Arachnida: Pseudoscorpiones)
Kotrbová, Jana ; Šťáhlavský, František (advisor) ; Christophoryová, Jana (referee)
The aim of this thesis is description of diversity of Pseudoscorpions (Pseudoscorpiones) in Europe. Europe is the best explored continent of the world in the range of the order Pseudoscorpions. This is due to long-term tradition in the research of Pseudoscorpions. There was noted 755 species in Europe until 2011, which are sorted into 14 families. The most numerous family is Neobisiidae (12 genus, 401 species), following families Chthoniidae (5 genus, 214 species), Chernetidae (8 genus, 49 species), Cheliferidae (9 genus, 37 species), Syarinidae (5 genus, 13 species), Olpiidae (3 genus, 10 species), Larcidae (1 genus, 6 species), Garypinidae (3 genus, 5 species), Atemnidae (2 genus, 5 species), Withiidae (1 genus, 4 species), Geogarypidae (1 genus, 3 species), Cheiridiidae (2 genus, 3 species), Garypidae (1 genus, 3 species) and Bochicidae (2 genus, 2 species). The families Neobisiidae, Chthoniidae, Cheliferidae, Cheiridiidae a Chernetidae occur almost in whole Europe, the remaining families are noted mainly from southern areas of Europe. The extension of Pseudoscorpions is influenced by many factors, either abiotic (temperature, humidity, altitude and geological factor) or biotic (foresy and human influence). In detail it is not possible to evaluate the influence of individual factors due to limited number...
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Biologically Inspired Methods of Object Recognition
Truhlář, Martin ; Hradiš, Michal (referee) ; Juránek, Roman (advisor)
This document describes a method for biologically inspired pattern recognition. Furthermore, it explains the process of image processing and various stages of information extraction for classification. Support Vector Machine method is used for classification, but there are other classification methods explained. It explains how to test and work with the method itself. Results for each model set of classifiers and their advantages and disadvantages are summarized in the conclusion.
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Business Process Mining
Skácel, Jan ; Kreslíková, Jitka (referee) ; Bartík, Vladimír (advisor)
This thesis explains business process mining and it's principles. A substantial part is devoted to the problems of process discovery. Further, based on the analysis of specific manufacturing process are proposed three methods that are trying to identify shortcomings in the process. First discovers the manufacturing process and renders it into a graph. The second method uses simulator of production history to obtain products that may caused delays in the process. Acquired data are used to mine frequent itemsets. The third method tries to predict processing time on the selected workplace using asociation rules. Last two mentioned methods employ an algorithm Frequent Pattern Growth. The knowledge obtained from this thesis improve efficiency of the manufacturing process and enables better production planning.
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Emotional State Recognition and Classification Based on Speech Signal Analysis
Černý, Lukáš ; Atassi, Hicham (referee) ; Smékal, Zdeněk (advisor)
The diploma thesis focuses on classification of emotions. Thesis deals about parameterization of sounds files by suprasegment and segment methods with regard for next used of these methods. Berlin database is used. This database includes many of sounds records with emotions. Parameterization creates files, which are divided to two parts. First part is used for training and second part is used for testing. Point of interest is self-organization network. Thesis includes Matlab´s program which can be used for parameterization of any database. Data are classified by self-organization network after parameterization. Results of hits rates are presented at the end of this diploma thesis.
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