An AI System for the Detection of Hate Speech Encoded in Igbo Native

Résumé fourni par la source

This project was motivated by the pressing need for language-specific solutions to combat hate speech nuances in Igbo native language. The aim is to develop a robust Hate Speech Detection System integrated into the Facebook platform. The specific objectives include creating the first-ever hate speech dataset for Igbo, employing advanced natural language processing (NLP) techniques, and ensuring ethical considerations in system deployment. Methodologically, the project involves comprehensive data pre-processing, neural network model creation using Keras, systematic testing, and deployment on Facebook with a meticulous process. The key findings include the successful development of a reliable hate speech detection model with specific strengths and weaknesses. The project contributes to knowledge by establishing a systematic approach to language-specific hate speech detection and emphasizes the importance of ongoing efforts such as dataset expansion and community engagement