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Plagiarism Detection Using Artificial Intelligence Technique In Multiple Files
[Full Text]
AUTHOR(S)
Mausumi Sahu
KEYWORDS
k-nearest neighbor, machine learning, plagiarism detection, text matching.
ABSTRACT
Plagiarism relates to the act of taking information or ideas of someone else and demand it as your own. Basically it reproduce the existing information in modified format. In every field of education, it becomes a serious issue. Various techniques and tools are derived these days to detect plagiarism. Various types of plagiarism are there like text matching, copy paste, grammar based method etc.This paper proposes a new method implemented in a program ,where we utilise a text set to identify the copied part by comparing with some existing multiple files. Here we put the concept of a machine learning language i.e k-NN. It helps us to identify whether a paper is plagiarized or not.
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