Papers with Arabic Word Embeddings
ARHNet - Leveraging Community Interaction for Detection of Religious Hate Speech in Arabic (P19-2)
Copied to clipboard
| Challenge: | Existing methods to detect hate speech in Arabic rely on textual cues and social network graphs. |
| Approach: | They propose to use Arabic word embeddings and social network graphs to profile hate speech in Arabic. |
| Outcome: | The proposed model incorporates Arabic Word Embeddings and Social Network Graphs for the detection of religious hate speech in Arabic. |