Profanity Filter and Hate Speech Detection for Hindi Language

Abstract

In recent years, the expansion of online communication channels has highlighted the critical need for efficient content moderation technologies to address the growing flood of hate speech and vulgarity. This difficulty also applies to the Hindi language, which is spoken by millions of people throughout the world. This abstract provides an overview of cutting-edge methodologies and improvements in profanity filtering and hate speech identification, with a focus on the Hindi language. Profanity and hate speech in digital communication may have negative consequences for individuals and groups, propagating discrimination, harassment, and antagonism. Addressing this issue in Hindi, a language with significant cultural and linguistic variety, presents particular obstacles. The intricacy of Hindi script, dialect variances, and the context-dependent nature of hate speech complicate the work impossible