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Analiziranje sentimenta s pomočjo metod strojnega učenja je ena bolj raziskanih tem na področju obdelave naravnega jezika. Večina raziskav se osredotoča na analiziranje pisanega besedila kot so članki ali knjige. V primeru govorjenega besedila pa se poleg transkriptov posnetkov lahko analizira tudi sama zvočna datoteka posnetka. V diplomski nalogi smo raziskali in naučili različne modele strojnega učenja za analizo sentimenta na transkriptih posnetkov, nato pa poskusili izboljšati rezultate tekstovnih modelov z modeli, zgrajenimi na podatkih pridobljenih iz zvočnih datotek posnetkov. Za združevanje ter izboljšanje napovedi besedilnih in zvočnih modelov smo uporabili metodo zlaganja modelov. V delu smo raziskali in implementirali celoten cevovod za predprocesiranje podatkov, generiranje značilk ter učenje in testiranje besedilnih in zvočnih modelov ter meta modela z metodo zlaganja. Analyzing sentiment using machine learning methods is one of the most researched topics in the field of natural language processing. Most research focuses on analyzing written text such as articles or books. In the case of spoken text, in addition to the transcripts of the recordings, the audio file of the recording itself can also be analyzed. In this thesis, we researched and trained different machine learning models for sentiment analysis on recording transcripts, and then tried to improve the results of text-based models with models built on data obtained from audio files of recordings. We use stacking to combine and improve the predictions of text and audio models. In this work we explored and implemented a complete pipeline for data preprocessing, feature generation and learning and testing of text and audio models and a meta model using stacking.

The bachelor thesis is focused on the quality of provided services at Slovakian spa destinations. The main aim of this work is to identify the factors influencing the perception of the service quality and to determine their significane for the spa customer. The results obtained from the questionnaire are interpreted and statistically evaluated, and on their bases are proposed recommendations for service providers in spa destinations.

The diploma thesis deals with Integrated public transport system in South Moravia region. The author describes the term of integrated public transport system and its advantages in the theoretical part of the thesis. The practical part deals with constitution and development of the system in the South Moravia region and describes its subsystems: organizing and economical, tariff and transport subystem. The final chapter describes transport systems in the regions of the Czech republic. The last chapter shows the shortages of the current transport system. The main aim of the thesis is to make analysis of the current system, to compare theoretical findings with the current situation, to situate the transport system in South Moravia into the frame of the public transportation in the Czech republic and to compare it with other systems.