UGC Approved Journal no 63975

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

Volume 6 Issue 2
February-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIRAE06071


Registration ID:
198794

Page Number

295-298

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Title

Intrinsic Plagiarism Detection Approach Utilizing Support Vector Machine in Text Classification

Abstract

Plagiarism is a process of stealing the concepts, ideas, words, methods or results of others without mentioning the correct identification, recognition or citation. In plagiarism, one can confirm work outside of him, or engage in other hard work, rather than giving correct references and recognition. Today, plagiarism day is a serious problem in the field of research. Plagiarism detection use statistical methods or natural language of data. The purpose of each classification is to create a set of predictive models. Document classification is one of these applications and can be used in many categories such as new classifications, speech recognition. In this study, statistical and semantic features were used to determine the function of support vector machine (SVM) in detecting plagiarism. In this research paper we are providing a brief concept of plagiarism detection and text classification method using SVM and n-gram along with their types, functionalities and area of application. We will survey the effectiveness of SVM in text classification for plagiarism detection

Key Words

Plagiarism Detection, SVM, K-nearest neighbour, text classification, machine learning approach.

Cite This Article

"Intrinsic Plagiarism Detection Approach Utilizing Support Vector Machine in Text Classification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.295-298, February-2019, Available :http://www.jetir.org/papers/JETIRAE06071.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

"Intrinsic Plagiarism Detection Approach Utilizing Support Vector Machine in Text Classification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp295-298, February-2019, Available at : http://www.jetir.org/papers/JETIRAE06071.pdf

Publication Details

Published Paper ID: JETIRAE06071
Registration ID: 198794
Published In: Volume 6 | Issue 2 | Year February-2019
DOI (Digital Object Identifier):
Page No: 295-298
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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