Hate Speech Detection

Hate Speech Detection is a crucial task in the field of Natural Language Processing, aimed at identifying and detecting hate speech and violent tendencies in communications such as text and audio. This task evaluates biases based on protected characteristics like race, gender, sexual orientation, religion, age, etc., and common evaluation metrics include F-score or F-measure. Its application value lies in maintaining a healthy and safe online environment, preventing the spread of harmful information.