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Andrusyak Bohdan, Kern Roman, Rimel Myhailo

Detection of abusive speech for mixed sociolects of Russian and Ukrainian language

Tribun Eu, 2018

Uncontrolled use of abusive language is a problem in modern society. Development of automatic tools for detecting abusive and hate speech has been an active research topic in the past decade. However, very little research has been done on this topic for Russian and Ukrainian languages. To our best knowledge, no research considered surzhyk. We propose to use unsupervised probabilistic technique with a seed dictionary for detecting abusive comments in social media in Russian and Ukrainian languages. We demonstrate that this approach is feasible and is able to detect abusive terms that are not present in the seed dictionary
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