International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences
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Plagiarism Detection and Text Classification Using Implicit Ascertain

Authors: Dr. Pradosh Chandra Patnaik, Dr. S. B. Kishor

Country: India View / Download Full Text PDF File


Abstract: Plagiarism is often regarded as a relatively minor offense with little impact beyond the plagiarist. The problem of plagiarism has increased recently due to the digital resources available on the World Wide Web. Detecting plagiarism in natural language with statistical methods or data. The purpose of any classification is to build a series of models to predict the class of different objects. Document Categorization is one of these applications and can be used in many classification tasks, for example, the new classification, language detection, Fatherhood performance, the type of text categorization, recommender systems, etc .In this paper we are going to take a tour of the concept of plagiarism detection and text classification method specially n-gram along with their types, functions and area of applicability.

Keywords: SVM, plagiarism, n-gram, text classification, kNN


Paper Id: 1237

Published On: 2019-06-30

Published In: Volume 7, Issue 3, May-June 2019

Cite This: Plagiarism Detection and Text Classification Using Implicit Ascertain - Dr. Pradosh Chandra Patnaik, Dr. S. B. Kishor - IJIRMPS Volume 7, Issue 3, May-June 2019.

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