In this study, experiments are carried out both on our own dataset and on the DEAP dataset, which are widely used in the literature. Different types of Turkish songs were played to the participants. By examining the electrical waves that occur in their brain's surface, happy, sad, relaxing and angry mood states were recognized. Participants were asked to listen to music from different types in a noiseless environment. To classify the emotions, electroencephalography (EEG) signals were saved primarily from different channels. Certain features have been extracted from these signals.Extracted features have been classified using machine learning algorithms.
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