Feedback & Review Analyzer

Powered by AI / LLM Insights You Can Trust

Reading 1,000 customer reviews manually takes 8 hours. Hiring an analyst costs $500+. This Actor does the same job in minutes — at a fraction of the cost — and gives you back data that's ready to drop into a dashboard, report, or model.

How it works

You give it raw reviews from any source — Amazon, App Store, Trustpilot, Shopify, support tickets, surveys. It returns one enriched row per review with:

• Sentiment — Positive / Negative / Mixed with confidence score
• What customers loved — specific aspects, not vague themes
• What customers complained about — concrete issues
• Key topics they actually mention
• Fake review flags with transparent reasoning
• English translation from 100+ languages
• Data quality score per record

What you get per entry

{
  "review_id": 1,
  "original_text": "Excellent product, the battery lasts 12 hours and the sound quality is crisp. Worth every penny.",
  "translated_text": "Excellent product, the battery lasts 12 hours and the sound quality is crisp. Worth every penny.",
  "original_language": "en",
  "sentiment": "Positive",
  "confidence": 85,
  "positive_aspects": ["battery life", "sound quality"],
  "negative_aspects": [],
  "key_topics": ["product quality"],
  "fake_review_flag": false,
  "fake_signals": [],
  "fake_detection_method": "Text-based signals only. Cannot detect coordinated campaigns or burst patterns.",
  "explanation": "The review highlights specific positive features of the product, indicating satisfaction.",
  "quality_score": 100
}

Input format

{
  "records": [
    {"text": "Excellent product, the battery lasts 12 hours and the sound quality is crisp. Worth every penny."},
    {"text": "Total waste of money. Stopped working after 2 weeks and customer support was unresponsive."},
    {"text": "Great features but the build quality feels cheap. Mixed feelings overall."}
  ]
}

Built for serious work

• Multi-language: 100+ languages auto-translated before analysis
• PII removal: Emails, phone numbers, URLs stripped automatically
• Production-grade security: Multi-layer prompt injection defense — adversarial inputs flagged, not processed
• Quality scoring: Every record gets a 0-100 completeness score

Limits

• Max 1,000 entries per run
• Max 3,000 characters per entry
• Suspicious or manipulative input is flagged and skipped

Best for

• E-commerce sellers analyzing product reviews
• Product managers tracking feature feedback
• Market researchers comparing competitor reviews
• App developers monitoring App Store / Play Store reviews
• AI teams preparing clean training data

Powered by

• Llama 3.3 70B via Groq for fast accurate analysis
• Pandas pipelines for cleaning and validation
• Google Translate for multi-language support
• Custom injection defense layer built on 30+ pattern matchers