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IJSTR >> Volume 9 - Issue 12, December 2020 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

An Approach For Inspecting Arabic Authorship Attribution Using The Fuzzy Logic System

[Full Text]



Abeer H. El Bakly, Nagy Ramadan Darwish and Hesham A.Hefny



Arabic Authorship Attribution, Artificial Intelligence, Fuzzy Logic System, Machine Learning, Lexical Feature, N-gram, ontology, semantic feature.



using fuzzy logic system enhances the accuracy of solving the society problems so, the researchers try to use it in many research issues such as authorship attribution specifies an author to an anonymous text according to his features of writing. The type of features is character, lexical, syntactic, and semantic. This research studies the effect of using fuzzy logic system on the Arabic authorship attribution within proposing a new approach to solve the issue of detecting if an anonymous text is owning to specific author or not. Additionally, it uses the ontology as a semantic feature and N-gram as a lexical feature. Moreover it concerns on a new corpus which is called “ElWafaa LlFokahaa”. It is assembled and annotated fatwas of prayer from books of main Islamic jurisprudence doctrines (“Hanfi, Shafie, Malki, and Hanbli”). In the experimental work, the corpus is split into two datasets, 95% is training and 5% testing dataset. In addition, the proposed approach uses the semantic and lexical feature with and without fuzzy logic system then compare them. The implementation shows the effect of fuzzy logic system on the semantic and lexical feature. The accuracy is reduced from 86.7% to 84.3% with semantic features while it is increased from 91.6% to 95.7% with lexical features.



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