文章基本信息

标题：Stylometric Approach For Author Identification of Online Messages
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作者：Smita Nirkhi ; Dr.R.V.Dharaska ; Dr.V.M.Thakre 等
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：5
页码：6158-6159
出版社：TechScience Publications
摘要：In the era of internet, the use of online blogs, forum, social network and email is very popular for communication. At the same time due to anonymity, cybercriminals making use of these online messages for illegal activities like cyber bulling, fishing etc.In this context, Authorship identification plays important role by finding the plausible author of anonymous text .Authorship Identification thus helps to recognize author of unknown text. This paper will focus on the use of Stylometry approach along with ngram as feature for finding unique write prints of authors. The main steps involved for this experimentation are feature extraction, classification and author identification.SVM classifier is used to check accuracy of this approach.
关键词：SVM; Stylometry; N-Gram; Z-score