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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM19034
Volume:
7 |
4 |
Apr 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The issue of plagiarism has been a significant concern in the academic and professional world for many years. With the increasing availability of digital content, it has become easier for people to copy and paste information from various sources without proper attribution. To address this problem, many methods have been developed to detect plagiarism in documents. One effective method for detecting plagiarism is to use cosine similarity. This technique compares the similarity between two documents based on the angle between their vectors. If the angle is small, the documents are similar, and if the angle is large, they are dissimilar. By applying this method, plagiarism can be detected by comparing the similarities between the suspiciousdocument and a set of reference documents. This paper reviews the use of cosine similarity in detecting plagiarism and its effectiveness. The results show that cosine similarity is a reliable method for detecting plagiarism and can be used in various applications.
KEYWORDS
Publication Date
4/16/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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