AN ORDERLY SURVEY ON AUTHOR ATTRIBUTION METHODS: FROM STYLISTIC FEATURES TO MACHINE LEARNING MODELS

In this article, we have presented an overview of the main methods of author attribution as well as those allowing the detection of certain aspects of his profile. These methods revolve around stylistic, statistical or language model traits which can be combined using machine learning techniques. The range of experienced traits is responsible for the large number of tasks underlying the attribution of an author and the determination of his profile. The comparison of author attribution methods demonstrate that machine learning techniques can ameliorate the process of classification.