Recognition of Hate or Offensive Tweets in the Online Communities

Abstract

The paper focuses on classification of text into categories as hate speech or offensive language which represent unhealthy phenomena complicating learning and communication in online space. This classification was achieved by training a model using a deep neural network. The network was tested with different amounts of neurons in the hidden layer, with three distinctive optimizers and with various learning rates.