Afaan Oromo Hate Speech Detection and Classification on Social Media (2022.lrec-1)
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| Challenge: | Hate and offensive speech on social media is a global problem that suffers the community especially, for an under-resourced language like Afaan Oromo. |
| Approach: | They develop a model to detect and classify Afaan Oromo hate speech on social media using different machine learning algorithms. |
| Outcome: | The proposed model outperforms existing models in gender, religion, race, and offensive speech on social media. |
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