Plagiarism Detector Using Machine Learning

Authors

  • Hiten Chavan Department of Information Technology, Bharati Vidyapeeth College of Engineering, Navi Mumbai, India
  • Mohd. Taufik Department of Information Technology, Bharati Vidyapeeth College of Engineering, Navi Mumbai, India
  • Rutuja Kadave Department of Information Technology, Model College, Dombivli, India
  • Nikita Chandra Department of Information Technology, Bharati Vidyapeeth College of Engineering, Navi Mumbai, India

Keywords:

Plagiarism, Detector, Machine Learning, Cosine similarity, TF-IDF, Plagiarism checker

Abstract

Plagiarism is the act of stealing someone’s idea or work and representing it as one’s own. Plagiarism has been identified as a violation of moral rights in various countries. Today in the world of evolving technology and ever-growing usage of the Internet, the unacceptable act of plagiarism has been increasing on a large scale. It is often observed in many educational areas such as research papers, blogs, articles, assignments, etc. This paper majorly focuses on the plagiarism that is frequently found in schools and colleges. Many students can be found to have copied assignments from their classmates. A system can be developed for the convenience of teachers that could check the amount of plagiarism in students’ assignments. This system could be mentioned as an improvement from the old manual way as it eliminates the tedious work with increased speed and efficiency.

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Published

2021-04-30

How to Cite

[1]
H. Chavan, M. Taufik, R. Kadave, and N. Chandra, “Plagiarism Detector Using Machine Learning”, IJRESM, vol. 4, no. 4, pp. 152–154, Apr. 2021.

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Articles