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Marketing Management of a Company
Řičánek, Michal ; Plotěný, Karel (referee) ; Chalupský, Vladimír (advisor)
The diploma thesis focuses on cost optimization of individual marketing activities. It contains analysis of these activities in the chosen company including its ratings and suggestions for optimal structure. The outcome of this thesis provides recommendations for its leaders to improve marketing usage in the company.
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The relation of emotions and intonation curves
Gavlasová, Radka ; Smékal, Zdeněk (referee) ; Tučková,, Jana (advisor)
This thesis deals with intonation curves and their relation to human emotions. Besides the theoretical part where you can learn about speech production, signal processing and psychological distribution of emotions, there is also a unique database recorded with the help of two professional actors. The main goal of this thesis is to classify created data using artificial neural networks into four classes. Those classes are anger, joy, boredom and sadness. The practical part was implemented in a programming platform called Matlab using Classification Learner app. Features used for this method were variations of fundamental frequency and MFCC. The results were compared with a listening survey so that it could be determined whether the results provided by neural network are relevant to some kind of a human factor. Success rate of the trained models reached 82 %, new data testing reached 75 %. Listening survey confirmed that the results correspond to the assumption of human perception. Better success rate would be accomplished by using a bigger set of higher quality data.
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Steal me your €motion
Rygálová, Monika ; Országhová, MA Kristína (referee) ; Sterec, Pavel (advisor)
The text deals with ways and methods of creating my diploma thesis called Steal me your €motion. The diploma thesis deals with the relationship between machine learning and emotionality. To what extent is artificial intelligence able to undergo emotional relationships and experiences defined by the physicality and experience of the human body. The topic of the work is the creation of a (fictional) inhuman entity that longs to learn from people as many bodily acts as possible that will help it infiltrate the human community. In addition to reflecting the current level of scientific knowledge, I bring an element of fiction and fiction.
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The algorithm for the detection of positive and negative text
Musil, David ; Harár, Pavol (referee) ; Povoda, Lukáš (advisor)
As information and communication technology develops swiftly, amount of information produced by various sources grows as well. Sorting and obtaining knowledge from this data requires significant effort which is not ensured easily by a human, meaning machine processing is taking place. Acquiring emotion from text data is an interesting area of research and it’s going through considerable expansion while being used widely. Purpose of this thesis is to create a system for positive and negative emotion detection from text along with evaluation of its performance. System was created with Java programming language and it allows training with use of large amount of data (known as Big Data), exploiting Spark library. Thesis describes structure and handling text from database used as source of input data. Classificator model was created with use of Support Vector Machines and optimized by the n-grams method.
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The use of EEG in assessing the emotional state of a person
Strakoš, Libor ; Mézl, Martin (referee) ; Potočňák, Tomáš (advisor)
This thesis is focused on EEG processing and emotion classification within two-dimensional emotion space. First part consists of theoretical research about emotional responses of human subjects on sound, image and video stimuli. Emotions are examined from aspect of physiology and psychology. Furthermore technical overview of measurement, analysis and emotion classification within two-dimensional emotional space is discussed. Based on gathered knowledge measurement setup with audiovisual stimuli was designed and measured with two independent instruments – EGI GES400MR in laboratory conditions and Emotiv EPOC device in non-laboratory conditions. Signals were processed and emotions were classified based on chosen features. Performance of classifiers in multiple feature selection setups was evaluated.
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Demotikons
Ponomarevová, Denisa ; Sýkorová,, Lenka (referee) ; Mikyta, Svätopluk (advisor)
The bachelor thesis entitled Demotikons is a guide to the hypothetical and personal symbolism of digital space and internet communication. I refer to the well-known system of emoticons (emoji), reaction buttons, and simplified forms or signs found on web browsers, social networks, and the digital interfaces of our electronic devices. I deconstruct their meaning with my own attributes and place them in new forms and relationships. The drawings make micro-references to established "visual codes" in digital space, from email address signs to graphic icons and visual indicators in user interfaces. The output of this project becomes an installation comprising a series of drawings and objects that convey personal interpretations of the intersection of the digital (online) world with the physical (offline) world.
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Response of biological signals during acoustic and optical stimulation
Strakoš, Libor ; Chmelař, Milan (referee) ; Bubník, Karel (advisor)
The goal of this thesis is recording and evaluating of biological signals connected with autonomic nervous system. Changes in signals are caused by optical and acoustical stimuli. These stimuli are pictures of different meaning. Colors, basic symbols and neutral pictures with variance in colorization are included. Acoustic stimulation is provided by short startle stimulus of white noise sound impulse. Changes in signals are statistically and subjectively evaluated as changes in emotional state of tested person. Tested people fill in a questionnaire about their feelings. Results of signal processing and questionnaire are compared at the end.
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Agent Process Model of Human Cognition, Emotions and Behaviour
Pač, Peter ; Zbořil, František (referee) ; Kubát, David (advisor)
This work deals with modeling of the human psyche and its cognitive processes, emotions and behaviors based on agent system. The first objective of this examines the issue from the perspective of general psychology and intelligent systems. The work discusses in detail the design model of the human psyche with definitions of agents system and design of simulation environment. The special part is devoted to the design of the neural network system. After description of implementation of the model and simulation environment, finally, the work show results of experiments with the implemented system from the perspective of conformity with psychological theories and benefits to artificial intelligence.
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Social Network Analysis using methods of pattern recognition
Križan, Viliam ; Burget, Radim (referee) ; Atassi, Hicham (advisor)
Diplomová práca sa zaoberá rozpoznávaním emócií z textu v sociálnych sieťach. Práca popisuje súčasné metódy extrakcie príznakov, používané lexikóny, korpusy a klasifikátory. Emócie boli rozpoznávané na základe klasifikátoru, netrénovaného na anotovaných dátach z mikroblogovacej siete Twitter. Výhodou použitia služby Twitter, bolo geografické vymedzenie dát, ktoré umožňuje sledovanie zmien emócií populácie v rôznych mestách. Prvým prístupom klasifikácie bolo vytvorenie Baseline algoritmu, ktorý používal jednoduchý lexikón. Pre zlepšenie klasifikácie sme v druhom bode použili komplexnejší SVM klasifikátor. SVM klasifikátory, extrakcie a selekcie príznakov boli použité z dostupnej Python knižnice Scikit. Dáta pre natrénovanie klasifikátoru boli zhromažďované z oblasti USA, a to s pomocou vytvorenej aplikácie. Klasifikátor bol natrénovaný na dátach, označených pri ich zhromažďovaní - bez manuálnej anotácie. Boli použité dve rôzne implantácie SVM klasifikátorov. Výsledné klasifikované emócie, v rôznych mestách a dňoch, boli zobrazené v podobe farebných značiek na mape.
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