Generalized authorship identification technique

Download article in PDF format

Authors: Romanov A. S., Shelupanov A. A., Bondarchuk S. S.

Annotation: In the article authorshi p identification problem in the case of the limited set of alternatives is described. Generalized technique for authorshi p identification and for authors’ style model generating in the form of studied classifier is given. Also results of authorshi p identification experiments for corpuses of Russian literary texts and short messages are represented.

Keywords: authorshi p identification, classifire, artifical neural networks, support vector machine, smoothing