文章基本信息

标题：Ranking Attribution: A Novel Method for Stylometric Authorship Identification
作者：Marwa Taha Jamil ; Dr. Tareef kamil Mustafa
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2018
卷号：9
期号：7
DOI：10.14569/IJACSA.2018.090709
出版社：Science and Information Society (SAI)
摘要：Stylometric Authorship attribution is one of the essential approaches in the text mining. The present research endorses a Stylometric method called Stylometric Authorship Ranking Attribution (SARA) overcomes the usual problems which are processing time and accurate prediction results, without any human opinion that relays on the domain expert. This new method also uses the most effective attributes used in the Stylometric authorship prediction frequent word bag counts, whether it was frequent single, pair or trio words attributes, which are the most successful attributes in Stylometric prediction, having more alibi for author artistic writing style for our authorship recognition and prediction proposed technique. The experiments show that the proposed method produces superior prediction accuracy and even provides a completely correct result at the final stage of our experimental tests regarding the dataset scope.
关键词：Data mining; text mining; Stylometric Authorship Attribution; SARA