Published in 14th Conference on Natural Language Processing KONVENS 2018, 2018
In this paper, we present two deep-learning based classifier systems for the identification of offensive comments in German Language microposts: A bidirectional LSTM model and a CNN model. Our objective is to compare the performance of these two systems with a traditional, machine-learning based SVM classifier and to evaluate our approach on Task 1 (binary classification) of the GermEval 2018 shared task.
Recommended citation: Bachfischer, M., Akujuobi, U., & Zhang, X. (2018, September). KAUSTmine-Offensive Comment Classification on German Language Microposts. In 14th Conference on Natural Language Processing KONVENS 2018. https://ids-pub.bsz-bw.de/files/8490/Ruppenhofer_Siegel_Wiegand_GermEval2018_Proceedings.pdf#page=39