Papers by Nabil Arhab
Finnish Hate-Speech Detection on Social Media Using CNN and FinBERT (2022.lrec-1)
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| Challenge: | Existing tools to identify hate posts from social media are limited in the field of online hate speech detection. |
| Approach: | They propose to use finBERT to generate a Finnish hate speech dataset . finBERt has a 91.7% accuracy and 90.8% F1 score value, they say . |
| Outcome: | The proposed model outperforms state-of-the-art models in Finnish and other languages. |