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A machine learning pipeline that combines techniques to analyze and classify Arabic text into two binary categories (e.g., spam/non-spam, positive/negative sentiment). The system includes a "selective" mechanism to prioritize relevant features and outputs a link-friendly compact model for deployment (e.g., a REST API or model-as-a-service endpoint).

Arabic text processing poses several challenges, including: fgselectivearabicbin link

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