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In this work, abusive language detection in online content is performed usingBidirectional Recurrent Neural Network (BiRNN) method. Here the main objectiveis to focus on various forms of abusive behaviors on Twitter and to detectwhether a speech is abusive or not. The results are compared for variousabusive behaviors in social media, with Convolutional Neural Netwrok (CNN) andRecurrent Neural Network (RNN) methods and proved that the proposed BiRNN is abetter deep learning model for automatic abusive speech detection.

Abusive Language Detection and Characterization of Twitter Behavior