Comparison of String Similarity Measures for Obscenity Filtering
Ekaterina Chernyak · 2017
In this paper we address the problem of filtering obscene lexis in Russian texts.We use string similarity measures to find words similar or identical to words from a stop list and establish both a test collection and a baseline for the task.Our experiments show that a novel string similarity measure based on the notion of an annotated suffix tree outperforms some of the other well known measures.