ABSTRACT:
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Hate speech detection is a critical task in natural language processing (NLP), aiming to identify and mitigate harmful language in online communication platforms. This paper proposes an approach for hate speech detection using NLP techniques and deep learning models. Existing methods often rely on rule-based systems or traditional machine learning algorithms, which may struggle to capture the nuanced and evolving nature of hate speech.

In contrast, our propose ....