A study on early decision making in objectionable web content classification

Lung Hao Lee; Cheng Jye Luh; Chih Jie Yang

doi:10.1109/ISI.2008.4565026

A study on early decision making in objectionable web content classification

Lung Hao Lee, Cheng Jye Luh, Chih Jie Yang

Department of Electrical Engineering

Research output: Contribution to conference › Paper › peer-review

3 Scopus citations

Abstract

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 page's 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.

Original language	English
Pages	35-39
Number of pages	5
DOIs	https://doi.org/10.1109/ISI.2008.4565026
State	Published - 2008
Event	IEEE International Conference on Intelligence and Security Informatics, 2008, IEEE ISI 2008 - Taipei, Taiwan Duration: 17 Jun 2008 → 20 Jun 2008

Conference

Conference	IEEE International Conference on Intelligence and Security Informatics, 2008, IEEE ISI 2008
Country/Territory	Taiwan
City	Taipei
Period	17/06/08 → 20/06/08

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10.1109/ISI.2008.4565026

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A study on early decision making in objectionable web content classification

Abstract

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