Tamgacı: Artırımsal ve Geri Beslemeli Türkçe Yazar Çözümleme

Abstract

Authorship Analysis is the analysis of a text to get information about the author of that text. It has a long history about 130 years with a wide range of studies, and is an important research topic for criminal, literary, commercial, and academic disciplines. Authorship Attribution is one of the distinct problems of Authorship Analysis and it deals with the identification of the author of a disputed text within a predefined set of candidate authors. Since it is basically a classification problem, machine learning techniques are widely employed for Authorship Attribution studies. However, although approximately 1000 stylistic features have been studied in different researches, there is still no consensus on which are the best and most distinctive. Stylistic features are very important for high prediction accuracies, as well as the resources needed to train the classifiers, because classification models become more complex when the size of input increased.