Using a Semi-automatic Keyword Dictionary for Improving Violent Web Site Filtering

Authors:
Radhouane Guermazi;Mohamed Hammami;Abdelmajid Ben Hamadou
Affiliations:
-;-;-
Venue:
SITIS '07 Proceedings of the 2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System
Year:
2007

Citing 0
Cited 2

WebAngels Filter: A Violent Web Filtering Engine Using Textual and Structural Content-Based Analysis

ICDM '08 Proceedings of the 8th industrial conference on Advances in Data Mining: Medical Applications, E-Commerce, Marketing, and Theoretical Aspects
Classification of violent web images using context based analysis

Proceedings of the 2010 ACM Symposium on Applied Computing

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Abstract

The development of the Web has been paralleled by the emergence of harmful Web pages content such as pornography, violence, racism,etc.This emergence involved the necessity of providing filtering systems designed to secure the internet access. In this paper, we propose a violent Web content detection and filtering system called "WebAngels filter" which uses textual and structural content-based analysis. These analysis are based on a violent keyword dictionary. We focus our attention on the keyword dictionary preparation, and we demonstrate that a semi-automatic keyword dictionary can be used to improve the filtering efficiency of violent Web pages.