In my master’s thesis, I empirically analyze the genre of Slovenian crime fiction using various empirical tools, such as the Stylo library, other natural language processing libraries, and programming languages like R and Python. I explore the quantitative and stylistic similarities between the most popular contemporary crime novels by Slovenian authors (Tadej Golob, Irena Svetek, Mojca Širok, Avgust Demšar) and the crime novels of Jo Nesbø. The first part of the thesis is dedicated to the theoretical foundations, where I explain what the crime fiction genre is and present the history and typical characteristics of the Scandinavian and Slovenian crime fiction genres. The second part of the thesis focuses on the practical part, specifically the presentation of the methodology (various digital humanities methods) and the research sample, followed by a quantitative analysis using Voyant Tools and a stylometric analysis with the Stylo package. In this thesis, the emphasis is on cluster analysis (similarity based on the 100 most frequent words), multidimensional scaling, principal component analysis, consensus tree method, classification method, and the analysis of differences between the most frequently used words. The thesis concludes with the interpretation of the results and a critical evaluation of the performed analysis. This master’s thesis aims to contribute to the application of modern digital methods in the field of literature analysis while also highlighting the exploration of the Slovenian crime fiction genre, which has become extremely popular in recent years.
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