Arabic NLP Text-Classification Pipeline
Design an Arabic text-classification pipeline handling normalization, tokenization, class imbalance, and correct-metric evaluation, with Arabic-specific traits and privacy, no invented libraries.
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Model: claude-sonnet-4-7
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Knowledge: 2026-Q2
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Building an Arabic sentiment classifier for customer comments, categorizing support tickets by topic, developing an intent detector for an Arabic chatbot with class-imbalance handling.
#معالجة لغة#تصنيف نصوص#عربيّة#اختلال طبقي
Built-in quality guards
Anti-hallucination
No fabricated libraries, pretrained models, or claimed unmeasured accuracy
Security Check
Avoid printing sensitive personal text and respect PDPL for individuals' data
Completeness
Cover normalization, tokenization, imbalance, evaluation, and error analysis without truncation
Format Check
Adherence to the six-section structure and code blocks within a unified pipeline