Analysis of speech fluency in patients with schizophreniaMarinković, Mila (Avtor) Žabkar, Jure (Mentor) Rus Prelog, Polona (Komentor) Verbal fluencySchizophreniaSlovenian LanguageSchizophrenia is a complex mental disorder characterized by significant cognitive and linguistic impairments, particularly in verbal fluency. This thesis addresses the challenge of distinguishing between individuals with schizophrenia and healthy controls by directly testing and examining their verbal fluency performance. To achieve this, we administered established verbal fluency tests to participants, applying these tests in the Slovenian language—a novel approach, as no such analysis had previously been conducted in this language. Our goal was to uncover patterns that could effectively differentiate these two groups within the Slovenian-speaking population. We combined traditional statistical methods, semantic similarity measures, temporal dynamics, and machine learning techniques to analyze word frequency, error patterns, and the organization of verbal output. A key contribution of this research is the successful classification of individuals into schizophrenia and healthy control groups using the Naive Bayes classifier based on verbal fluency features. The study also highlights significant verbal fluency differences between the groups, including higher error rates in individuals with schizophrenia, underscoring the potential of advanced analytical techniques to enhance diagnostic accuracy.20242024-09-19 14:56:50Magistrsko delo/naloga162196VisID: 37159COBISS_ID: 210216707sl