Emotion Detection

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Did you know?The global emotion detection and recognition market is projected to reach $56 billion by 2024, growing rapidly with AI adoption.

1. What is Emotion Detection?

Emotion detection is the use of AI and machine learning to identify human emotions from data such as voice, facial expressions, text, or physiological signals. It helps businesses analyze customer sentiment and improve experiences.

2. How are emotions detected?

Emotions are detected through:

• Facial recognition (analyzing micro-expressions)
  
  
• Voice analysis (tone, pitch, stress patterns)
  
  
• Text analysis (sentiment in written words)
  
  
• Biometric sensors (heart rate, skin response)
  

3. How accurate is emotion detection?

Emotion detection accuracy varies by method:

• Text-based sentiment analysis: ~70–80%
  
  
• Voice & facial recognition: ~80–90% with quality data

 Accuracy improves with AI training, but cultural and contextual nuances can still cause errors.

Discover how emotion detection and VOC transform customer interactions