Identification of Author - Based on semantics and syntactic features

Abstract

Author identification is now a big research area from the last one decade. Author identification is figuring out the author of any given text, paragraph or big novels etc. Basic concern of it is to show the real author of the text by catching out the composition style of aulhor. A lol of work is done on author identification using many different techniques like deep learning, lexical features, n-grarn techniques etc. ln this paper we will be focusing specifically on syntactic features of the authors. This paper will be covering the limitations of the last research done and will figure oul lhe real aulhor by his w1iling style using characters, words or whole sentencesbased features. The classifiers used includes Naive Bayes, K-NN and Random Forest which helps the system to classify the textual document, extract features and identify the real author of the given text document from the dataset.