Bibliographic Details
| Title: |
A hybrid approach to detecting alerts in Arabic e-mail messages. |
| Authors: |
Al-Radaideh, Qasem A.1, AlEroud, Ahmed F.2, Al-Shawakfa, Emad M.1 |
| Source: |
Journal of Information Science. Feb2012, Vol. 38 Issue 1, p87-99. 13p. |
| Subject Terms: |
*Communication, Email, Email systems, Websites, Data transmission systems |
| Abstract: |
Detecting alert e-mails received daily by millions of subscribers from online news providers is a relatively new area of research which falls within the e-mail filtering field of research. Alert e-mails may address government, political issues, breaking news, and criminal attacks. This article proposes a hybrid approach based on both the Graham statistical filter and rule-based filters to detect and filter Arabic alert e-mails. The approach is basically language-independent. To test the performance of the proposed approach, several experiments have been conducted using a set of 1500 Arabic messages related to criminal activities collected manually from some news websites such as Al-Jazeera Net and BBC Arabic news. The results showed that the proposed approach has achieved a competitive performance in terms of accuracy, precision, and F-measure, where about 87% of the messages tested have been correctly detected and filtered by the proposed filter. [ABSTRACT FROM PUBLISHER] |
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| Database: |
Education Research Complete |
