Arabic topic detection using automatic text summarisation

Koulali, Rim and El-Haj, Mahmoud and Meziane, Abdelouafi (2013) Arabic topic detection using automatic text summarisation. In: Computer Systems and Applications (AICCSA), 2013 ACS International Conference on. IEEE Computer Society, pp. 1-4.

Full text not available from this repository.

Abstract

With the exponential growth of the online available Arabic documents, classifying and processing large Arabic corpora has became a challenging task. The presence of noisy information embedded in these documents has made it even more difficult to get accurate results when applying a Topic Detection (TD) process. To address this problem, a proper features selection approach is needed to enhance the topic detection accuracy. In this paper, we explore the impact of using automatic summarisation technique along with a feature-selection process to enhance Arabic Topic Detection. In our work we show that using automatic summarisation reduces noisy information and results in a significant enhancement to the topic detection process and therefore increases the performance of our TD system. This was achieved by the ability of our summariser system in reducing documents size to speed up the detection process.

Item Type:
Contribution in Book/Report/Proceedings
ID Code:
71281
Deposited By:
Deposited On:
16 Oct 2014 10:29
Refereed?:
Yes
Published?:
Published
Last Modified:
05 Aug 2020 09:29