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Xlm R Large Arabic Sent
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Xlm R Large Arabic Sent
Developed by akhooli
An Arabic multilingual sentiment classification model fine-tuned based on XLM-Roberta-Large, supporting mixed language input
Downloads 14.13k
Release Time : 3/2/2022
Model Overview
This model is specifically designed for sentiment analysis of Arabic reviews, capable of identifying positive, negative, and mixed emotions. Supports zero-shot cross-language classification (including mixed language scenarios).
Model Features
Multilingual Support
Supports sentiment analysis in Arabic, English, and mixed languages
Zero-shot Transfer
Effective classification even for languages not specifically trained on
Mixed Emotion Recognition
Can identify neutral/mixed emotions (based on 3/5-star rating criteria)
Model Capabilities
Arabic Sentiment Analysis
English Sentiment Analysis
Mixed Language Sentiment Analysis
Zero-shot Cross-language Classification
Use Cases
Social Media Analysis
Arabic Comment Sentiment Monitoring
Analyze sentiment tendencies in user comments on Arabic social media
Can identify positive/negative/neutral comments
Customer Feedback Analysis
Multilingual Customer Support Analysis
Analyze customer feedback mixing Arabic and English
Can process mixed language input without specialized training
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