Analyses of literary texts by using statistical inference methods

Quantitative Analysis of Literature (QAL) is a rapidly growing field and it deals with numerical analyses of literary texts. Our motivation in this thesis is to classify literary pieces of authors based on their choice of words. We examine, whether given a set of literary documents we can classify them by author, whether we can classify them depending on their genre or not and whether by treating speech by individual protagonists as texts we can infer something about the protagonists themselves. These are novel questions in the field of QAL.