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Arabic Sentiment Model
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Arabic Sentiment Model

Developed by Walid-Ahmed
A BERT-based pre-trained model for Arabic, suitable for Arabic text classification tasks
Text Classification
Transformers
 ArabicOpen Source License:Apache-2.0#Arabic Sentiment Analysis#Restaurant Review Classification#BERT Fine-tuning
Downloads 35
Release Time : 9/28/2024

Model Overview

This model is a BERT-based pre-trained model for Arabic, specifically optimized for Arabic text, suitable for text classification tasks such as sentiment analysis.

Model Features

Arabic Optimization
Specifically pre-trained and optimized for Arabic text
BERT Architecture
Based on the Transformer's BERT architecture, with excellent contextual understanding capabilities
Sentiment Analysis
Particularly suitable for sentiment analysis tasks in Arabic reviews

Model Capabilities

Arabic Text Understanding
Sentiment Analysis
Text Classification

Use Cases

Business Analysis
Arabic Product Review Analysis
Analyze the sentiment tendencies of Arabic user reviews on products
Can accurately classify reviews as positive, negative, or neutral
Social Media Monitoring
Arabic Social Media Sentiment Analysis
Monitor and analyze public sentiment on Arabic social media
Can analyze the sentiment tendencies of large volumes of social media text in real-time
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