Online abuse detection: the value of preprocessing and neural attention models

Code

• github.com/ddhruvkr/Online_Abuse_Detection
  OfficialIn paperpytorch★ 9

Abstract

We propose an attention-based neural network approach to detect abusive speech in online social networks. Our approach enables more effective modeling of context and the semantic relationships between words. We also empirically evaluate the value of text pre-processing techniques in addressing the challenge of out-of-vocabulary words in toxic content. Finally, we conduct extensive experiments on the Wikipedia Talk page datasets, showing improved predictive power over the previous state-of-the-art.

Tasks

Reproductions