marbert

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marbert
UBC-NLP / marbert
UBC ARBERT and MARBERT Deep Bidirectional Transformers for Arabic
language-models benchmark model-evaluation bert bert-model arbert marbert deep-learning awesome arabic arabic-nlp arabic-language arabic-dialects arabic-models ubc ubc-dlnlp ubcnlp huggingface-transformers classification social-media
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aehabV / Hate-Speech-Detection-on-Arabic-Tweets
We utilized a pre-trained model to classify Arabic text. After conducting extensive research, we found that MarBERT was the best model for classifying Arabic offensive tweets. It focuses on dialectal Arabic (DA) and Modern Standard Arabic (MSA). The competition involves two shared sub-tasks: detecting whether a tweet is offensive or not; and detecting whether a tweet contains hate speech or not. It detected offensive sentences with 84.9% accuracy and F1-Score of 83.5%, and hate speech with 93.4% accuracy and F1-Score of 80.4%.
arabic-dialects arabic-nlp arabic-tweets hatespeech marbert nlp offensive-language tweets
Language:Jupyter Notebook 2
mareloraby / ArabicNLPProject
We compare the performance of multiple BERT-based models for the task of Emotion recognition in Arabic Tweets.
arabic-nlp bert emotion-classification marbert nlp tweets tweets-classification
Language:Jupyter Notebook 0

UBC-NLP / marbert