A Review on Hate Speech Detection using Natural Language Processing

With increased use of social media among various users, there has been a prominent surge in hate speech content in the online platforms. This paper provides a review on how natural language processing is being used to combat this surge. The paper discusses the resources like tools and datasets that are currently available. The features and various methods of detection are explored. The most targeted groups of people are also identified. The languages which have been covered under hate speech detection are also discussed. The challenges that are faced are reviewed.