Enhancing Cyber Hate Detection With Multi Stage Machine Learning Methods
Keywords:
Cyber Hate Detection, Multi Stage, Machine Learning MethodsAbstract
The rise of cyber hate on online platforms has become a critical concern, necessitating the development of efficient and accurate detection mechanisms. Traditional machine learning models often struggle with high falsepositive rates and limited contextual understanding, making cyber hate detection a challenging task. This study proposes a multistage machine learning framework that enhances detection accuracy by combining natural language processing (NLP), feature engineering, and deep learning techniques.
References
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