عنوان مقاله [English]
نویسنده [English]چکیده [English]
Identifying author is an important issue in natural language processing and text classification. It shows the author's characteristic in various texts. The rapid development of the Internet causes Web-based tools such as email and blogs with an anonymous identity become a popular method of communication for the perpetrators. Moreover, it creates some specific security issues. In this paper, we studied for in virtual environments so that the most important components in identifying author are determined and classified. This study obtained the composition of the seven components that led to the highest accuracy in identifying .