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

Computation and Language;Information Retrieval