Detection of plagiarism in scientific texts based on text blocking and cosine similarity criteria

Document Type : Original Article

Authors

Department of Computer Engineering, Naqsh Jahan Institute of Higher Education, Isfahan, Iran

Abstract

In the last decade, with the expansion of the World Wide Web, the speed and ease of access to ideas, documents, articles, manuscripts, and data collected by others has increased. This has made the exchange of information and ideas between researchers and producers of science easier, but on the other hand, it has made it easier to apply unauthorized copies, write summaries without mentioning the source, and steal literary texts in general. Since universities and educational centers make scientific and research resources easily available to most users, recognizing the authenticity of scientific texts in these centers is more important and, of course, more sensitive. In this research, a method is presented to compare the related parts using the blocking of document parts. In the proposed method, after classifying the documents into two categories of main documents and suspicious documents, preprocessing has been done with the aim of eliminating word stops and new wording. Then the documents are segmented and using cosine similarity, the degree of similarity of the texts with each other is determined. The proposed method in the test of 50 documents in the data set has an accuracy of 94%, which is an improvement of 2% compared to one of the similar methods.

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History

  • Receive Date: 27 December 2021
  • Revise Date: 03 October 2022
  • Accept Date: 25 November 2022

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