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A study on early decision making in objectionable web content classification

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3 Author(s)
Lung-Hao Lee ; Dept. of Inf. Manage., Yuan-Ze Univ., Tao-Yuan ; Cheng-Jye Luh ; Chih-Jie Yang

This study proposed early decision heuristics for objectionable content classification using an inverse chi-square classifier. The experimental results indicated that only examining the title plus 10% of a Web pagepsilas content can cost-effectively achieve an average precision of 93%. More importantly, the F1 measure achieved its best when the title plus 60% of the body was examined. The proposed early decision making heuristics can serve as the trade-off baseline for real-time online filtering.

Published in:

Intelligence and Security Informatics, 2008. ISI 2008. IEEE International Conference on

Date of Conference:

17-20 June 2008