The presentation will be focused on different aspects of computational stylistics, or assessing stylistic differences between texts using statistical techniques. This approach has been applied to solve the problem of authorship attribution, but in my presentation, I will also address other possible applications of computational stylistics, ranging from assessing stylistic differentiation inside a single literary work, to mapping entire corpora using network analysis techniques. The network method, which will be discussed in detail, can supplement traditional literary criticism, since it can show subtle textual relations that are usually not visible with a naked eye.

The package 'stylo' is a collection of high-level functions written in the programming language R, that is meant to be used as a standalone stylometric tool. It is aimed at analyzing collections of (literary) texts, in order to trace their stylistic similarities. One of the most important features of the package is that it can be used by users without programming skills. To make the interaction with the users even more smeamless, it is supplemented by Graphical User Interface. During the presentation, I will show the main functionalities of the package, and I will introduce the entire workflow that is needed to perform a custom stylometric test.