Automatic Web Rating: Filtering Obscene Content on the Web

Authors:
Konstantinos Chandrinos;Ion Androutsopoulos;Georgios Paliouras;Constantine D. Spyropoulos
Affiliations:
-;-;-;-
Venue:
ECDL '00 Proceedings of the 4th European Conference on Research and Advanced Technology for Digital Libraries
Year:
2000

Citing 3
Cited 4

Foundations of statistical natural language processing

Foundations of statistical natural language processing
Finding Naked People

ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Finding faces in cluttered scenes using random labeled graph matching

ICCV '95 Proceedings of the Fifth International Conference on Computer Vision

Word co-occurrence features for text classification

Information Systems
WIA: a web inspection architecture

International Journal of Knowledge and Web Intelligence
On the utility of incremental feature selection for the classification of textual data streams

PCI'05 Proceedings of the 10th Panhellenic conference on Advances in Informatics
Named entity recognition for web content filtering

NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present a method to detect automatically pornographic content on the Web. Our method combines techniques from language engineering and image analysis within a machine-learning framework. Experimental results show that it achieves nearly perfect performance on a set of hard cases.