| Autor: |
Ouamour, Siham, Sayoud, Halim |
| Zdroj: |
2012 International Conference on Communications & Information Technology (ICCIT); 1/ 1/2012, p44-47, 4p |
| Abstrakt: |
In this paper the authors investigate the task of authorship attribution on very old Arabic texts that were written by ten ancient Arabic travelers. Several features such as characters n-grams and word n-grams are used as input of a SMO-SVM (i.e. Sequential Minimal Optimization based Support Vector Machine). Experiments of authorship attribution, on this text database, show interesting results with a classification precision of 80%. This research work, which represents a rare text-mining work on the Arabic language, has revealed several interesting points. [ABSTRACT FROM PUBLISHER] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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