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. © Springer-Verlag Berlin Heidelberg 2000.
Cite
CITATION STYLE
APA
Chandrinos, K. V., Androutsopoulos, I., Paliouras, G., & Spyropoulos, C. D. (2000). Automatic web rating: Filtering obscene content on the web. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1923, 403–406. https://doi.org/10.1007/3-540-45268-0_50
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