Abstract
The paper presents a method for pornography detection in the web pages based on natural language processing. The described classification method uses feature set of single words and groups of words. Syntax analysis is performed to extract collocations. A modification of TF-IDF is used to weight terms. An evaluation and comparison of quality and performance of classification are given.
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Suvorov, R., Sochenkov, I., Tikhomirov, I. (2013). Method for Pornography Filtering in the WEB Based on Automatic Classification and Natural Language Processing. In: Železný, M., Habernal, I., Ronzhin, A. (eds) Speech and Computer. SPECOM 2013. Lecture Notes in Computer Science(), vol 8113. Springer, Cham. https://doi.org/10.1007/978-3-319-01931-4_31
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DOI: https://doi.org/10.1007/978-3-319-01931-4_31
Publisher Name: Springer, Cham
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