Plagiarism Detection using Neural Network
Plagiarism Detection, Plagiarism Types, Plagiarism Techniques, Plagiarism Algorithms
Being a developing issue, plagiarism is commonly described as literature theft and academic dishonest nature in the writing, and it must be avoided and adhere to the moral standards. Plagiarism occur in scholastics, paper publication, music, work of art developing quickly, so the recognizing plagiarism is essential. While the most recent couple of year’s plagiarism detection tools have been utilized predominantly in research conditions, refined plagiarism programming and instruments are presently quickly rising. In this paper, we give an outline of various plagiarism programming and apparatuses to take care of the plagiarism issue. We propose an element classification conspire that can be utilized to examine plagiarism discovery programming and plagiarism recognition instruments. This plan depends on the product's general qualities, devices qualities, and apparatuses property.Keywords: Plagiarism Detection, Plagiarism Types, Plagiarism Techniques, Plagiarism Algorithms
"Plagiarism Detection using Neural Network", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.4, Issue 3, page no.569 - 573, March-2019, Available :https://ijsdr.org/papers/IJSDR1903100.pdf
Volume 4
Issue 3,
March-2019
Pages : 569 - 573
Paper Reg. ID: IJSDR_190322
Published Paper Id: IJSDR1903100
Downloads: 000347179
Research Area: Engineering
Country: NAGPUR, MAHARASHTRA, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
