Identifying distinct components of a multi-author document

Navot Akiva; Moshe Koppel

doi:10.1109/eisic.2012.16

Identifying distinct components of a multi-author document

Navot Akiva, Moshe Koppel

Department of Computer Science

Bar-Ilan University

Research output: Contribution to conference › Paper › peer-review

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 language	English
Pages	205-209
Number of pages	5
DOIs	https://doi.org/10.1109/eisic.2012.16
State	Published - 2012
Event	2012 European Intelligence and Security Informatics Conference, EISIC 2012 - Odense, Denmark Duration: 22 Aug 2012 → 24 Aug 2012

Conference

Conference	2012 European Intelligence and Security Informatics Conference, EISIC 2012
Country/Territory	Denmark
City	Odense
Period	22/08/12 → 24/08/12

Keywords

Authorship Attribution
Document Clustering
Text Mining

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Networks and Communications
Information Systems

Access to Document

10.1109/eisic.2012.16

Cite this

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KW - Text Mining

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Identifying distinct components of a multi-author document

Abstract

Conference

Keywords

All Science Journal Classification (ASJC) codes

Access to Document

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Cite this