Extract Customer Sentiment from Arabic Reviews
Get structured insights from Arabic customer feedback without losing cultural context
Arabic customer reviews contain implicit cultural references that direct translation misses. Standard sentiment analysis tools trained on English fail to catch Gulf-specific praise patterns and complaint styles.
That is the gap this drop closes. It is a marketing skill built for Kimi, and it takes about ten minutes to set up the first time. After that it runs in under a minute.
Who should use it
Marketing managers and customer experience teams analyzing Arabic-language reviews from Gulf customers
How it works
The skill file does five things, in this order.
1. Paste reviews in original Arabic. Keep dialectal Gulf Arabic exactly as written, including emoji and English words customers mixed in.
2. Ask for cultural context notes. Request explanations of indirect criticism patterns common in Khaleeji communication styles.
3. Request bilingual sentiment table. Get a table with original Arabic phrases, their sentiment weight, and what they signal culturally.
4. Identify service versus product issues. Separate hospitality complaints from functional problems since Arabic reviews often blend both.
5. Flag religious and social sensitivities. Surface any mentions of prayer facilities, modesty, family spaces, or halal concerns for priority action.
What comes back
A spreadsheet with sentiment scores, cultural flags, and issue categories that non-Arabic speakers on your team can act on
The mistake to avoid
Test your prompt on five reviews first to check if Kimi recognizes Emirati dialect versus Levantine or Egyptian. If your customer base mixes dialects, mention the top three in your prompt so nuances survive.
Running it
Paste the prompt block into a new Kimi chat and attach your files in the same message. Kimi's long context means you should upload everything at once rather than in batches, splitting the input is what causes it to lose cross-references between documents.
Where this fits
On its own, one skill saves an hour a week. The compounding happens when three or four of them run in sequence on the same input, the same transcript that produces a scope of work also produces the follow-up email and the project brief. That is the point at which it stops being a prompt and starts being an internal tool. If you want that wired into the systems your team already uses, that is the work 67 Digital does.
In the file
I have customer reviews in Arabic about {product or service type}. Many are written in Gulf Arabic dialect, some mixing English words.
Analyze the reviews below and create a table with these columns:
- Original Arabic phrase or sentence
- English translation
- Sentiment (positive/neutral/negative/mixed)
- Cultural context note (explain any indirect communication, hospitality expectations, or region-specific references)
- Issue category (product quality/service attitude/facility/price/religious or family accommodation/other)
- Priority (high/medium/low based on cultural weight and frequency)
Pay special attention to:
- Phrases that seem polite but signal disappointment
- Mentions of staff warmth, respect, or coldness
- Any references to prayer space, family sections, modesty, halal
- Comparisons to competitors or "back home"
- Expectations around generosity and hospitality
After the table, give me:
1. Top 3 issues by cultural importance, not just frequency
2. Any patterns where the Arabic sentiment is stronger or different than a literal translation would suggest
3. Recommended responses that respect Gulf communication norms
Reviews:
{paste Arabic reviews here}