DocumentCode
3149255
Title
An approach using intertextual distance to detect web messages authors
Author
El Manar El Bouanani, Sara ; Kassou, Ismail
Author_Institution
ENSIAS, Mohammed V Souissi Univ., Rabat, Morocco
fYear
2013
fDate
8-9 Nov. 2013
Firstpage
1
Lastpage
6
Abstract
Our objective in this paper is to propose an approach capable of detecting authors of web messages based on specific vocabulary and Intertextual distance. Focus in the present work is on comparing the most popular distances using in the field of authorship detection namely Delta Rule, chi-square distance and Kullback-Leibler Divergence.
Keywords
Internet; vocabulary; Kullback-Leibler divergence; Web messages authors; authorship detection; chi-square distance; delta rule; intertextual distance; vocabulary; Accuracy; Classification algorithms; Clustering algorithms; Feature extraction; Support vector machines; Training; Vocabulary; Authorship detection; Intertextual distance; Profiling; Specific vocabulary;
fLanguage
English
Publisher
ieee
Conference_Titel
ISKO-Maghreb, 2013 3rd International Symposium
Conference_Location
Marrakech
Print_ISBN
978-1-4799-3391-4
Type
conf
DOI
10.1109/ISKO-Maghreb.2013.6728130
Filename
6728130
Link To Document