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
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;
Conference_Titel :
ISKO-Maghreb, 2013 3rd International Symposium
Conference_Location :
Marrakech
Print_ISBN :
978-1-4799-3391-4
DOI :
10.1109/ISKO-Maghreb.2013.6728130
