Plagiarism Checker using tf-idf, cosine similarity and jaccard similarity

Registration ID: IJNRD_196449

Published ID: IJNRD2305788

DOI: Click Here to Get

Chitrang Chauhan , Abhinav Singh , Mayank Kumar , Sanjeev Kumar Singh , Akshay Tiwari

Plagiarism Checker, Machine Learning, NLP

Plagiarism is a severe problem in academic and professional settings when someone uses someone else's work and claims it as their own. With the rise of digital media and the internet, plagiarism has become more common. Machine learning can help detect plagiarism by looking over the content and comparing it to a database of recognised sources. In this paper, we provide machine learning-based plagiarism detection. The model generates a similarity score by analyzing text using Natural Language Processing methods. Moreover, a series of preprocessing techniques are used to get a clean dataset. In addition, respective heat maps as well as similarity matrix for both the cosine as well as jaccard similarities are presented. According to the data, the model is useful for detecting plagiarism and may be applied to prevent academic dishonesty.

Published Paper   E-Certificate

Chitrang Chauhan, Abhinav Singh, Mayank Kumar, Sanjeev Kumar Singh, & Akshay Tiwari (May-2023). Plagiarism Checker using tf-idf, cosine similarity and jaccard similarity. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), h667-h671. https://ijnrd.org/papers/IJNRD2305788.pdf

Volume 8 Issue 5, May-2023

Pages : h667-h671

Paper Reg. ID: IJNRD_196449

Published Paper Id: IJNRD2305788

Downloads: 000121986

Research Area: Information Technology 

Country: Greater Noida, Gautam Budh Nagar, Uttar Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305788.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305788

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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