A text as unique as a fingerprint: Text analysis and authorship recognition in a Virtual Learning Environment of the Unified Health System in Brazil

作者：

Highlights：

• Application of authorship recognition as a resource for a Virtual Learning Environment (VLE).

• Analyze texts and extract characteristics of the Portuguese language.

• Identify the author’s “fingerprint” of writing.

• Identify and recognize texts copied or written by ghostwriters.

摘要

•Application of authorship recognition as a resource for a Virtual Learning Environment (VLE).•Analyze texts and extract characteristics of the Portuguese language.•Identify the author’s “fingerprint” of writing.•Identify and recognize texts copied or written by ghostwriters.

论文关键词：Stylometric features extraction,AVASUS,Text analysis,Authorship attribution,Author recognition

论文评审过程：Received 6 November 2020, Revised 23 October 2021, Accepted 19 April 2022, Available online 5 May 2022, Version of Record 11 May 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117280