A System for Ideas Plagiarism Detection: State of art and proposed approach

HAMBI El Mostafa, Faouzia Benabbou

Abstract


The advancement of the accessibility of online documents and ease of recovering them has caused to an enormous plagiarism issue. They are numerous techniques of plagiarism identification but the plagiarism of idea steels the foremost troublesome to identify. In this respect, a few strategies have been proposed to perform the assignment of plagiarism of ideas, but they are still numerous challenges to overcome. In this paper, we propose a system of plagiarism identification of ideas based on Deep Learning Algorithms. The proposed approach deals with some problems encountered in detecting the plagiarism of ideas such as: the problem of loss of meaning or the difficulty of detection of similarity between documents. The purpose of this study is to doing a comparison of ideas plagiarism techniques and giving the architecture for plagiarism detection system based on deep mastering algorithms.


Keywords


Plagiarism, Deep Learning, Preprocessing, Doc2vev, neural network



DOI: http://doi.org/10.11591/ijai.v9.i1.pp%25p
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This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.