UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 4 Issue 6
June-2017
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR1706044


Registration ID:
170471

Page Number

200-202

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Title

Plagiarism detection using supervised machine learning algorithm

Abstract

Due to large amount of work on various topics of notable authors available online, the work of well-known authors is copied as it is which leads to the spread of plagiarism. Plagiarism has become a worrying problem to various authors. In this project, we attempt to find a solution for this issue by implementing a plagiarism detecting system for detecting whether the work of a notable author is copied or not. We implement this system by using modified version of supervised machine learning algorithm viz. Naïve Bayes. This system will let us know whether the text is plagiarised or not and will also tell us the name of the author whose work is being plagiarised.

Key Words

Author Detection, Machine learning, Naïve Bayes, Plagiarism.

Cite This Article

"Plagiarism detection using supervised machine learning algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 6, page no.200-202, June-2017, Available :http://www.jetir.org/papers/JETIR1706044.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Plagiarism detection using supervised machine learning algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 6, page no. pp200-202, June-2017, Available at : http://www.jetir.org/papers/JETIR1706044.pdf

Publication Details

Published Paper ID: JETIR1706044
Registration ID: 170471
Published In: Volume 4 | Issue 6 | Year June-2017
DOI (Digital Object Identifier):
Page No: 200-202
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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