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)
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
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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
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