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A hybrid approach to detecting alerts in Arabic e-mail messages.

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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]
Copyright of Journal of Information Science is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
FullText Text:
  Availability: 0
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DbLabel: Education Research Complete
An: 72092958
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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IllustrationInfo
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  Data: A hybrid approach to detecting alerts in Arabic e-mail messages.
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  Data: <searchLink fieldCode="AR" term="%22Al-Radaideh%2C+Qasem+A%2E%22">Al-Radaideh, Qasem A.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22AlEroud%2C+Ahmed+F%2E%22">AlEroud, Ahmed F.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Al-Shawakfa%2C+Emad+M%2E%22">Al-Shawakfa, Emad M.</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Information+Science%22">Journal of Information Science</searchLink>. Feb2012, Vol. 38 Issue 1, p87-99. 13p.
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  Data: *<searchLink fieldCode="DE" term="%22Communication%22">Communication</searchLink><br /><searchLink fieldCode="DE" term="%22Email%22">Email</searchLink><br /><searchLink fieldCode="DE" term="%22Email+systems%22">Email systems</searchLink><br /><searchLink fieldCode="DE" term="%22Websites%22">Websites</searchLink><br /><searchLink fieldCode="DE" term="%22Data+transmission+systems%22">Data transmission systems</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: 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]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Information Science is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – SubjectFull: Email
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      – SubjectFull: Email systems
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      – SubjectFull: Websites
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      – SubjectFull: Data transmission systems
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      – TitleFull: A hybrid approach to detecting alerts in Arabic e-mail messages.
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              Text: Feb2012
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              Y: 2012
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