NLP-Based Plagiarism Detection using Tf-IDF and Cosine Similarity System

Aravind.L.Sino,

doi:https://doi.org/10.55041/ijsmt.v2i5.005

Plagiarism Passed

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Open Access

NLP-BASED PLAGIARISM DETECTION USING TF-IDF AND COSINE SIMILARITY SYSTEM

AUTHORS:

Aravind.L.Sino

Mentor

Dr.T.R.NISHADAYANA

Affiliation

Department of Computer Science,Vels Institute of Science,Technology And Advanced Studies (VISTAS),Pallavaram, Chennai-600117,Tamil Nadu, India.

DOI: 10.55041/ijsmt.v2i5.005

CC BY 4.0 License:

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Abstract

: This project presents the development of a plagiarism detection system using Natural Language Processing (NLP) techniques. In the modern digital era, a vast amount of information is easily accessible through the internet, which makes copying and reusing content very common. Especially in academic environments, students and researchers may unintentionally or intentionally copy content from various sources. Detecting such plagiarism manually is a difficult, time-consuming, and error-prone process. Therefore, there is a strong need for an automated system that can efficiently identify similarities between documents and ensure originality.

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✓ All ethical standards met

This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.

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