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What is Detecting Hate Speech in Singlish about?

This study addresses the increasing issue of hate speech in Sinhala-English code-mixed language (Singlish) on social media, particularly in Sri Lanka. It evaluates various machine learning algorithms and ensemble approaches for detecting hate speech, utilizing a dataset created from comments on YouTube and Facebook. The research finds that the hard voting ensemble method achieves the highest accuracy of 84% in detecting hate speech in Singlish, highlighting the need for effective automated solutions in this

Author

Kavisha Gimhani

Language

EN