Burrows-Delta Method Fitness for Arabic Text Authorship Stylometric Detection

Stylometric authorship attribution is an approach concerned about analyzing texts in text mining, e.g., novels and historical books that famous authors wrote, trying to measure the author's 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; thus, authorship attribution is the task of identifying the author of a given text [1]. The main target of this paper is to apply the burrows delta algorithm and examine the effectiveness of Arabic Text fitness in Authorship Stylometric Detection. The difficulty and complexity of the Arabic language include the language movements and formation, which alters the meaning of words easily, in addition to changing the shape of the character at the beginning or the end which does not guarantee the calculating word occurrences in applying Burrows Delta easily.