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In this paper an approach for the automatic detection of offensive language in German twitter posts, so called tweets, based on a data set provided by the organizers from the GermEval2019 contest is presented. Two different approaches were used. The first one is based on a document-term-matrix and the second one uses fastText to represent tweets as...
