README.md

metadata

title: Arabic Sentiment Analysis
emoji: 🧠
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 6.5.1
python_version: '3.10'
app_file: app.py
pinned: false

Arabic Sentiment Analysis with AraBERT

This project presents an Arabic Sentiment Analysis system based on a fine-tuned version of AraBERT.
The model predicts the sentiment of Arabic text as Positive or Negative, along with a confidence score.

The application is deployed using Gradio on Hugging Face Spaces, providing an interactive web interface for real-time inference.

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🚀 Demo

Simply enter an Arabic text in the input box and the model will return:

• Sentiment: Positive / Negative
• Confidence: Prediction confidence in percentage (%)

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🧠 Model

• Base model: aubmindlab/bert-base-arabertv02
• Task: Binary Sentiment Classification
• Labels:
  • 0 → Negative
  • 1 → Positive
• Preprocessing: AraBERT text normalization and cleaning

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📊 Dataset

• Dataset: Arabic Sentiment Analysis dataset
• Classes:
  • Negative (0): 1,784 samples
  • Positive (1): 2,332 samples
• Domain: Arabic tweets and short texts

⚠️ The dataset is not included in this repository, as it is used only during training.

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⚙️ Training Details

• Fine-tuning performed on Google Colab
• Early Stopping used to prevent overfitting
• Checkpointing enabled during training
• Final model selected based on validation performance

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🖥️ Deployment

• Framework: Gradio
• Platform: Hugging Face Spaces
• Hardware: CPU (Zero GPU)
• Inference: Real-time

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📦 Project Structure