Arabic NLP Text-Classification Pipeline
"Arabic NLP Text-Classification Pipeline" is a ready-made prompt from the Zayenha Prompt library in Programming & Tech, written for claude-sonnet-4-7. It has a main prompt to copy into the model, built-in quality guards, and a verification prompt to run in a second window to review the answer. The full text needs the Plus plan; the description is open to all.
Design an Arabic text-classification pipeline handling normalization, tokenization, class imbalance, and correct-metric evaluation, with Arabic-specific traits and privacy, no invented libraries.
Your current plan: free
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.
Built-in quality guards
No fabricated libraries, pretrained models, or claimed unmeasured accuracy
Avoid printing sensitive personal text and respect PDPL for individuals' data
Cover normalization, tokenization, imbalance, evaluation, and error analysis without truncation
Adherence to the six-section structure and code blocks within a unified pipeline
Frequently asked questions
How do I use this prompt?
Copy the main prompt and paste it into claude-sonnet-4-7 or the model you use, replace what is in square brackets with your details, then run the verification prompt in a second window with the answer pasted in, and review it before relying on it.
Is this prompt free?
Its full text requires the Plus plan or higher. Free prompts you can copy at once without an account are on the ready-made Arabic prompts page.
Which model was this prompt written for?
It was written for claude-sonnet-4-7 and follows how that model works; you can run it on other models too, reviewing the result, since no single wording guarantees the best result on every model.