metadata
license: apache-2.0
language:
- ar
- arz
library_name: transformers
pipeline_tag: text-classification
widget:
- text: عامل ايه يا باشا ؟
output:
- label: Neutral
score: 0.999
- label: Hate
score: 0.001
- text: مبحبش الخلايجه
output:
- label: Hate
score: 0.998
- label: Neutral
score: 0.002
Model Card
This model is a fine-tuned version of MARBERTv2. We finetuned this model for binary text classification (Neutral-Hate) on a custom Egyptian-Arabic hate speech dataset.
Acknowledgement
Model fine-tuning, data collection, annotation and pre-processing for this work were performed as part of a Graduation Project from the Faculty of Engineering, AASTMT, Computer Engineering Program.
Citation
@INPROCEEDINGS{10009167,
author={Ahmed, Ibrahim and Abbas, Mostafa and Hatem, Rany and Ihab, Andrew and Fahkr, Mohamed Waleed},
booktitle={2022 20th International Conference on Language Engineering (ESOLEC)},
title={Fine-tuning Arabic Pre-Trained Transformer Models for Egyptian-Arabic Dialect Offensive Language and Hate Speech Detection and Classification},
year={2022},
volume={20},
number={},
pages={170-174},
keywords={Social networking (online);Text categorization;Hate speech;Blogs;Transformers;Natural language processing;Task analysis;Arabic Hate Speech;Natural Language Processing;Transformers;Text Classification},
doi={10.1109/ESOLEC54569.2022.10009167}}