Authorship Arabic Text Detection According to Style of Writing by Using (SABA) Method

Authors

  • Tareef Kamil Mustafa
  • Ammar Adil Abdul Razzaq
  • Ehsan Ali Al-Zubaidi University of Kufa Faculty of Physical Planning Computer and Internet Department

DOI:

https://doi.org/10.24203/ajas.v5i2.4750

Keywords:

Authorship Attribution, Style of writing, text mining.

Abstract

Authorship attribution of a style of writing is a method depend on analyzing texts in text mining, e.g., historical books and novels that famous authors wrote, attempted to measure the author's style, by choosing some attributes that show the author manner of writing. Assuming that these writers have a different way of writing that no other writer have; thus, authorship attribution is the essential of identifying the author of a given text [1].

References

Argamon, S. and S. Levitan, 2005. Measuring the usefulness of function words for authorship attribution. Proceeding of the Joint Conference on Association for Literary and Linguistic Computing Computer Humanities, June 16-19, University of Victoria, Canada, pp: 2-4. http://lingcog.iit.edu/doc/paper_162_argamon.pdf.

Mofleh Al-diabat (2012), “ Arabic Text Categorization Using Classification text Miningâ€, Department of Computer science /Al Albayt University. Applied Mathematical Sciences, Vol. 6, 2012, no. 81, 4034 – 4047.

Zaho Y., Zobel J. (2008), “Search with manner: Authorship Attribution in Classic Literatureâ€, the Thirtieth Australasian Computer Science Conference, Ballarat, Jan. 2007.

J. F. Burrows, “Delta: a gauge of stylistic difference and an index to likely authorship,†Literary and Linguistic Computing 17, pp. 268–288, 2002.

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Sterling Stein and Shlomo Argamon (2007), “A Mathematical Explanation of Burrows’s Deltaâ€, Linguistic Cognition Laboratory Department of Computer Science Illinois Institute of Technology Chicago.

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Published

2017-05-05

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Section

Articles

How to Cite

Authorship Arabic Text Detection According to Style of Writing by Using (SABA) Method. (2017). Asian Journal of Applied Sciences, 5(2). https://doi.org/10.24203/ajas.v5i2.4750

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