|
|
Automatic detection of fake-news on Slovak texts
Romanský, Patrik ; Mareček, David (advisor) ; Novák, Michal (referee)
Fake news is a problem in recent years. This study focuses on detecting fake news written in the Slovak language using text classification methods. It is unique because it is the first to conduct such a comprehensive set of experiments on Slovak. During the study, a balanced dataset was created, and over 80 experiments were conducted to find the optimal classifier for the problem. Pre-trained transformer-based language models, including BERT, mBERT, RoBERTA, XLM-RoBERTa, and SlovakBERT, were used in the initial step of the study, and their performance was compared against other machine learning methods using standard metrics. The models were fine-tuned with LIAR and COVID19 FN, English-language datasets, to test the impact of fake news topics and language transfer properties. SlovakBERT combined with training exclusively on Slovak datasets achieved the best results with an (acc = 0.9610). This study can contribute to the development of tools to automatically detect fake news in Slovak, aiding in the fight against the spread of false information. 1
|
|
|
Automatic detection of fake-news on Slovak texts
Romanský, Patrik ; Mareček, David (advisor) ; Novák, Michal (referee)
Fake news is a problem in recent years. This study focuses on detecting fake news written in the Slovak language using text classification methods. It is unique because it is the first to conduct such a comprehensive set of experiments on Slovak. During the study, a balanced dataset was created, and over 80 experiments were conducted to find the optimal classifier for the problem. Pre-trained transformer-based language models, including BERT, mBERT, RoBERTA, XLM-RoBERTa, and SlovakBERT, were used in the initial step of the study, and their performance was compared against other machine learning methods using standard metrics. The models were fine-tuned with LIAR and COVID19 FN, English-language datasets, to test the impact of fake news topics and language transfer properties. SlovakBERT combined with training exclusively on Slovak datasets achieved the best results with an (acc = 0.9610). This study can contribute to the development of tools to automatically detect fake news in Slovak, aiding in the fight against the spread of false information. 1
|
|
|
Evolutionary approaches to image representation and generation
Romanský, Patrik ; Neruda, Roman (advisor) ; Vidnerová, Petra (referee)
This thesis focuses on exploring different variants of evolutionary algorithms in the area of image data representation and generation. In the contrast of the majority of similar works, this work differs in modular approach to the creation of evolutionary algorithms. The aim of this work is to create an extensible library for creating evolutionary algorithms and comparing the algorithms based on real image data. Compared types of evolutionary algorithms are genetic algorithm, CMA-ES and Differential evolution. Based on experiments, we assessed the success rate of individual evolutionary algorithms and proposed a parallelization of the CMA-ES method.
|
guest ::
