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Authorship analysis based on data compression

Cerra, Daniele and Reinartz, Peter and Datcu, Mihai (2014) Authorship analysis based on data compression. Pattern Recognition Letters, 42, pp. 79-84. Elsevier. DOI: 10.1016/j.patrec.2014.01.019 ISSN 0167-8655

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Official URL: http://www.sciencedirect.com/science/article/pii/S0167865514000336

Abstract

This paper proposes to perform authorship analysis using the Fast Compression Distance (FCD), a similarity measure based on compression with dictionaries directly extracted from the written texts. The FCD computes a similarity between two documents through an effective binary search on the intersection set between the two related dictionaries. In the reported experiments the proposed method is applied to documents which are heterogeneous in style, written in five different languages and coming from different historical periods. Results are comparable to the state of the art and outperform traditional compression-based methods.

Item URL in elib:https://elib.dlr.de/88386/
Document Type:Article
Title:Authorship analysis based on data compression
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Cerra, Danieledaniele.cerra (at) dlr.deUNSPECIFIED
Reinartz, Peterpeter.reinartz (at) dlr.deUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:1 June 2014
Journal or Publication Title:Pattern Recognition Letters
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:42
DOI :10.1016/j.patrec.2014.01.019
Page Range:pp. 79-84
Editors:
EditorsEmail
Borgefors, GunillaSwedish Defence Research, Linköping, Sweden
Sanniti di Baja, Gabriellag.sannitidibaja@cib.na.cnr.it
Sarkar, S.University of South Florida, Tampa, USA
Publisher:Elsevier
Series Name:International Association for Pattern Recognition
ISSN:0167-8655
Status:Published
Keywords:Authorship analysis; Data compression; Similarity measure
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Cerra, Daniele
Deposited On:11 Mar 2014 08:54
Last Modified:31 Jul 2019 19:45

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