IJNRD Research Journal

WhatsApp
Click Here

WhatsApp editor@ijnrd.org
IJNRD
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.76

Issue per Year : 12

Volume Published : 9

Issue Published : 94

Article Submitted :

Article Published :

Total Authors :

Total Reviewer :

Total Countries :

Indexing Partner

Join RMS/Earn 300

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Plagiarism Checker using tf-idf, cosine similarity and jaccard similarity
Authors Name: Chitrang Chauhan , Abhinav Singh , Mayank Kumar , Sanjeev Kumar Singh , Akshay Tiwari
Download E-Certificate: Download
Author Reg. ID:
IJNRD_196449
Published Paper Id: IJNRD2305788
Published In: Volume 8 Issue 5, May-2023
DOI:
Abstract: 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.
Keywords: Plagiarism Checker, Machine Learning, NLP
Cite Article: "Plagiarism Checker using tf-idf, cosine similarity and jaccard similarity", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.h667-h671, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305788.pdf
Downloads: 000118744
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID:IJNRD2305788
Registration ID: 196449
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: h667-h671
Country: Greater Noida, Gautam Budh Nagar, Uttar Pradesh, India
Research Area: Information Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305788
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305788
Share Article:
Share

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijnrd.org
Semantic Scholar Microsaoft Academic ORCID Zenodo
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX PUBLON
DRJI SSRN Scribd DocStoc

ISSN Details

ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI
How to Get DOI? DOI

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Social Media

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Join RMS/Earn 300

IJNRD