Offensive Speech Detection using Deep Learning

As social media and the internet have grown in popularity, people now have access to a variety of forums for openly expressing their ideas and opinions on a wide range of topics. However, this freedom of expression is exploited to inspire hatred against specific persons or groups of individuals owing to disparities in gender, race, or religion, among other considerations. To address this growing problem on social networking sites, recent research have used breakthroughs in machine learning algorithms and feature engineering approaches to automate the identification of hate speech posts across a range of datasets. Advances in machine intelligence have piqued the interest of academics seeking and applying solutions to the problem of hate speech. Currently, hate speech is identified using a decision tree algorithm and text data.