A study on early decision making in objectionable web content classification

Lung Hao Lee, Cheng Jye Luh, Chih Jie Yang

Research output: Contribution to conferencePaperpeer-review

2 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 languageEnglish
Pages35-39
Number of pages5
DOIs
StatePublished - 2008
EventIEEE International Conference on Intelligence and Security Informatics, 2008, IEEE ISI 2008 - Taipei, Taiwan
Duration: 17 Jun 200820 Jun 2008

Conference

ConferenceIEEE International Conference on Intelligence and Security Informatics, 2008, IEEE ISI 2008
Country/TerritoryTaiwan
CityTaipei
Period17/06/0820/06/08

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