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What is Amharic Language Hate Speech Detection On Social Media about?

This research article focuses on detecting hate speech in the Amharic language on social media platforms, utilizing a dataset of 7,590 labeled entries. Various deep learning models were developed and evaluated, with the RoBERTa model achieving the highest accuracy of 91%. The study highlights the effectiveness of advanced deep learning techniques in addressing hate speech in Ethiopian social media contexts.

Author

editor.ijcrsetjournals

Language

EN