Arabic Alert-Email Detection Using Rule Based Filter
نویسندگان
چکیده
This paper utilized the performance of the rule-based filter for detecting Arabic alert e-mail. Alert e-mails are those e-mails related to criminal or terrorist activities which are of a great interest for both security agencies and people. A set of Arabic e-mails have been collected, pre-processed, and normalized. The useful features were extracted from the collected e-mails by involving categorical proportional difference (CPD) and term frequency variance (TFV) as features weighting methods for the rule-based filter. As a result, the rule based filter has achieved good accuracy results where it was able to detect about 85% of alert e-mails used in the experiments.
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