Stylometric Authorship attribution is one of the new approaches in the text mining field that has been showing recently because of its delicateness. This approach is concerned about analyzing texts, e.g. Novels and plays that famous authors wrote, trying to measure the author style, by choosing some attributes that shows the author style of writing, assuming that these writers have a special way of writing, that no other writer has. To achieve that, this paper discusses several algorithms which are used frequently and skipping the one time, ad-hoc adventures in this field. This paper is also opens the way for future works to merge and improve these techniques by showing experimentally the accuracy level of using both frequent words and frequent word pair depending on the computational approach.

Authorship attribution, computational stylometric, text mining