The software and hardware system that performs the author recognition process is called an author attribution system. Such systems aim at recognizing the authors of digitized dialogues and text messages. In recent years, practical applications for authorship attribution have gained wide adoption in areas such as criminal law, civil law and computer security. This study proposes an authorship attribution model that identifies the authors of Turkish texts automatically by utilizing specific features of the texts at character level

Dilan received her BSc degree in Computer Engineering in 2007 from Gebze Institute of Technology, Turkey. Currently, she is enrolled in the PhD program in Business Administration and Quantitative Methods at Universidad Carlos III de Madrid, where she is specializing in technology management and innovation.

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