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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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