Identifying distinct components of a multi-author document

Navot Akiva, Moshe Koppel

Research output: Contribution to conferencePaperpeer-review

20 Scopus citations

Abstract

Given a multi-author document, we use unsupervised methods to identify distinct authorial threads. Although this problem is of great practical interest for security and forensic reasons, as well as for commercial purposes, this paper is, to the best of our knowledge, the first presentation of a general-purpose method for solving it.

Original languageEnglish
Pages205-209
Number of pages5
DOIs
StatePublished - 2012
Event2012 European Intelligence and Security Informatics Conference, EISIC 2012 - Odense, Denmark
Duration: 22 Aug 201224 Aug 2012

Conference

Conference2012 European Intelligence and Security Informatics Conference, EISIC 2012
Country/TerritoryDenmark
CityOdense
Period22/08/1224/08/12

Keywords

  • Authorship Attribution
  • Document Clustering
  • Text Mining

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