Intrinsic Plagiarism Detection for Text Based Features Pattern

Abstract

 Plagiarism detection means detecting the document whether copied or stealing from the other document. The main goal is to detect the word by analyzing the writing style using technique intrinsic plagiarism detection. Text mining is used to extract the useful information from the text. Intrinsic plagiarism detection is used to take the few words from the document and then it compared to the original document whether it’s plagiarized or not. In addition, it performs the modern method in intrinsic plagiarism detection such as Recall, Precision, F-measure and Granularity. stylometric frequent pattern of authors can be extracted and mined along with lexical character features, lexical word features and syntactical features. The proposed work detects the plagiarism for documents based on collecting author profiles of documents

Authors and Affiliations

P. Rubini*1

Keywords

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  • EP ID EP137983
  • DOI -
  • Views 81
  • Downloads 0

How To Cite

P. Rubini*1 (30).  Intrinsic Plagiarism Detection for Text Based Features Pattern. International Journal of Engineering Sciences & Research Technology, 3(4), 1872-1874. https://europub.co.uk/articles/-A-137983