Arabert Arabic Sentiment Analysis
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Arabert Arabic Sentiment Analysis
Developed by PRAli22
Arabic sentiment analysis model fine-tuned on AraBERT, achieving 80.03% accuracy on the evaluation set
Downloads 840
Release Time : 3/13/2024
Model Overview
This model is specialized for sentiment analysis of Arabic text, capable of identifying emotional tendencies in the text.
Model Features
High Accuracy
Achieves 80.03% accuracy on the evaluation set
Arabic Optimization
Specifically optimized for Arabic text
Lightweight Fine-tuning
Efficient fine-tuning based on a pre-trained model
Model Capabilities
Arabic Text Classification
Sentiment Analysis
Natural Language Processing
Use Cases
Social Media Analysis
Arabic Social Media Comment Sentiment Analysis
Analyze user sentiment tendencies in Arabic social media comments
Accurately identifies over 80% of sentiment tendencies
Customer Feedback Analysis
Arabic Customer Review Classification
Classify Arabic customer reviews as positive/negative
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