Plagiarism Detection Framework using Text Mining Techniques

Abstract

With the rapid growth of internet resources and document processing tools, Plagiarism can be identified as a growing problem specially in the academic field. Here we present a methodology which allows users to witness an accurate and feature rich open source plagiarism detection framework. We mainly used two main approaches in this system to detect plagiarism. This include String comparison algorithms which consists of copy-paste plagiarism as well as paraphrase plagiarism detection to detect plagiarism among documents and query based online source detection algorithms to detect internet plagiarism . Here we also describe the main modules of the system and the comparison with the existing techniques as well.