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Multi-Lingual Emotion Analyzer
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Multi-Lingual Emotion Analyzer

Multi-Lingual Emotion Analyzer

Under maintenance

Analyze customer feedback, social media posts, and reviews across any language to understand joy, sadness, anger, fear, surprise, and disgust with 89-99% accuracy.

Pricing

from $0.01 / 1,000 results

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0.0

(0)

Developer

Kumar Kislay

Kumar Kislay

Maintained by Community

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1

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12 days ago

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🎭 Multi-Lingual Emotion Analyzer

Detect emotions in 50+ languages with AI-powered intensity scoring

Analyze customer feedback, social media posts, and reviews across any language to understand joy, sadness, anger, fear, surprise, and disgust with 89-99% accuracy.


🚀 What It Does

This Apify actor analyzes text in any language and returns:

  • 6 emotion scores (0-100 scale)
  • Dominant emotion with intensity level
  • Sentiment classification (positive/negative/neutral)
  • Auto language detection
  • Confidence score for reliability

✨ Features

  • 🌍 50+ Languages - English, Spanish, French, Hindi, Japanese, Arabic, and more
  • 🎯 High Accuracy - 89-99% confidence scores using Gemini AI
  • Fast Processing - 2 seconds per text
  • 📊 Intensity Levels - Low/Medium/High emotion strength
  • 🔍 Cultural Context - Detects sarcasm and cultural expressions

📥 Input Format

{
"texts": [
"I'm so happy today! 😊",
"Je suis très en colère!",
"यह बहुत दुखद है"
],
"detectLanguage": true
}

📤 Output Format

{
"text": "I'm so happy today! 😊",
"language": "eng",
"languageName": "English",
"emotions": {
"joy": 95,
"sadness": 0,
"anger": 0,
"fear": 0,
"surprise": 30,
"disgust": 0
},
"dominantEmotion": "joy",
"intensity": "high",
"sentiment": "positive",
"confidence": 0.99,
"timestamp": "2025-12-06T09:41:03.970Z"
}

💼 Use Cases

  • Customer Support - Detect frustrated customers across languages
  • Social Media Monitoring - Track brand sentiment globally
  • Market Research - Analyze product reviews in any language
  • Mental Health Apps - Identify emotional distress signals
  • E-commerce - Understand customer satisfaction patterns

🛠️ Tech Stack

  • Apify SDK - Scalable data processing
  • Google Gemini AI - Multi-lingual emotion detection
  • Franc - Language detection
  • TypeScript - Type-safe implementation

📦 Deployment

Environment Variables Required:

  • GEMINI_API_KEY - Your Google AI API key

Run on Apify Platform: apify push

Run Locally: apify run --input-file test_input.json


🎯 Market Opportunity

The emotion AI market is projected to reach $73.5B by 2030, growing at 14.78% annually. Multi-lingual capabilities are a key competitive differentiator in the sentiment analysis space.


📄 License

MIT License


🤝 Contributing

Built for the HackThisFall x Apify Hackathon 2025. Open to improvements and feature requests!


Ready to understand emotions in any language? Start Analyzing