Author Identification on Literature in Different Languages: A Systematic Survey

Author Identification (AI) is one of the applications of text mining. It is a technique to identify anonymous author of electronic - text. This paper presents a survey on present techniques for identifying author of anonymous text document. We outline this survey based on AI techniques on literature wrote in various Languages like English, Japanese, Mongolian, Persian, Albanian, Indian, Brazilian and Russian. This paper also presents Language translation issues and effect on author identity of anonymous text document i.e. from English to German and/or Japanese and then back to English and also Arabic to English. We have also studied feature independent method. An evaluation of AI techniques under different Languages is analyzed based on accuracy of the AI and data set applied as a training data. At the end we conclude this paper with observations and future scope in this area.