Detecting Arabic Spam Web Pages Using Content Analysis

@inproceedings{JARAMH2011DetectingAS,
  title={Detecting Arabic Spam Web Pages Using Content Analysis},
  author={RADWAN JARAMH and TALAL SALEH and Sherif Khattab and Ibrahim Farag},
  year={2011}
}
  • RADWAN JARAMH, TALAL SALEH, +1 author Ibrahim Farag
  • Published 2011
In this paper, we propose a set of new features to enhance the classification of Arabic Web pages into spam and non-spam under different classification algorithms, namely Decision Tree, Naїve Bayes, and LogitBoost. We compare our features, which we call Arabic Content Analysis (ACA) features, to state-ofthe-art Content Analysis (CA) features for spam detection in the English Web. We show that augmenting the CA features with our ACA features achieves an increase in detection accuracy of Arabic… CONTINUE READING

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