Authorship and Plagiarism Detection Using Binary BOW Features
نویسنده
چکیده
Identifying writing style shifts and variations are fundamental capabilities when addressing authorship related tasks. In this work we examine a simplified approach for unsupervised authorship and plagiarism detection which is based on binary bag of words representation. We evaluate our approach using PAN-2012 Authorship Attribution challenge data, which includes both open/closed class authorship identification and intrinsic plagiarism tasks. Our approach proved to be successful achieving overall average accuracy of 84% over and a 2nd place rank in the competition.
منابع مشابه
A Survey on Authorship Analysis
The paper discusses about the problem of Authorship analysis, different types of authorship analysis’s such as authorship attribution, authorship identification, authorship profiling, plagiarism detection. It also addresses the issues in Indian language text. Keywords— Authorship attribution, authorship profiling, plagiarism detection, text classification.
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