Detecting Plagiarism In Academics Using Levenshtein Distance Algorithm And Semantic Similarity

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Nikhil Ghode, Shubham Jadhav, Sampada Moon, Ashmina Khan, Shrutika Bhalkar

Abstract

As the age of internet is growing the information is available to everyone at the click of their hand. So due to this copping of information and data have also increased at academic level. As it might be time consuming and complex work this can be made easy with some good algorithm, method and technique. In this paper we have use Levenshtein distance algorithm to detect the similarity or plagiarism between the student researches. We have also implemented other method and technique to find out the plagiarism. The main aim of the project to provide the high end but very simple software at the academic level. This can make student to do their own research and publish it rather than copping other work.

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How to Cite
, N. G. S. J. S. M. A. K. S. B. (2018). Detecting Plagiarism In Academics Using Levenshtein Distance Algorithm And Semantic Similarity. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 4(3), 471–473. Retrieved from http://www.ijfrcsce.org/index.php/ijfrcsce/article/view/1343
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