Social Media Sentiment & Trend Analysis for Saudi Brand (Arabic NLP)

This is a ready-made prompt from the Zayenha Prompt library in Analysis & Research, written for gemini-3-pro. 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 Pro plan; the description is open to all.

Comprehensive sentiment analysis framework for Saudi audience attitudes toward a brand on Twitter/X and Snapchat, using Arabic NLP techniques and emerging trend detection.

Pro Model: gemini-3-pro 2,727 previews 0 uses Knowledge: 2026-Q2
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Use case

Brand reputation monitoring, crisis management, marketing campaign impact measurement, Saudi consumer voice analysis.

#وسائل التواصل#تحليل المشاعر#NLP#عربي#علامة تجاريّة#تويتر#سناب شات

Built-in quality guards

Methodology

Statistical and analytical methods documented and justified

Data Validity

Data assumptions stated; conclusions don't exceed sample

Anti-hallucination

No fabricated statistics or studies

KSA Context

Saudi data sources preferred (GASTAT, SAMA, ministries)

Actionability

Every analysis ends with actionable recommendations

Frequently asked questions

How do I use this prompt?

Copy the main prompt and paste it into gemini-3-pro 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 Pro 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 gemini-3-pro 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.

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