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Arabert Mini Algerian

Developed by Abdou
A sentiment analysis model for Algerian dialect fine-tuned based on the AraBERT large model, achieving optimal performance on YouTube comment datasets.
Downloads 31
Release Time : 3/2/2022

Model Overview

This model is specifically optimized for Algerian Arabic dialect for sentiment analysis tasks, particularly suitable for processing short texts like social media comments.

Model Features

Dialect optimization
Specially fine-tuned for Algerian Arabic dialect to better understand local language characteristics
High performance
Achieved an F1 score of 0.7838 and accuracy of 0.8174 on the test set, outperforming other comparison models
Efficient training
Based on the pre-trained AraBERT model, requiring only about 2 hours to complete fine-tuning

Model Capabilities

Arabic dialect text classification
Sentiment polarity analysis
Short text understanding

Use Cases

Social media analysis
YouTube comment sentiment analysis
Analyze sentiment tendencies in YouTube comments from Algerian users
Accuracy 81.74%, F1 score 78.38%
Market research
Product feedback analysis
Analyze Algerian consumers' dialect evaluations of products
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