DeepAffects

DeepAffects

DeepAffects is an artificial intelligence platform that analyzes audio, video and text to extract insights. It can detect emotions, engagement levels and other metrics to provide actionable insights.
artificial-intelligence audio-analysis video-analysis text-analysis emotion-detection engagement-detection

DeepAffects: AI Insights Platform for Audio, Video & Text Analysis

DeepAffects analyzes audio, video, and text to extract valuable insights, including emotion detection and engagement metrics, providing actionable intelligence.

What is DeepAffects?

DeepAffects is an artificial intelligence and machine learning platform used to analyze audio, video, and text data to provide actionable insights. Its main capabilities include:

  • Emotion detection - DeepAffects can detect emotions like happiness, sadness, fear, disgust, and more from audio, video, and text.
  • Engagement measurement - It can measure engagement, interest levels, and reactions to content.
  • Demographic recognition - Recognizes age, gender, ethnicity, and accents from voice.
  • Automated speech transcription - Converts audio and video files to text.
  • Intent and sentiment analysis - Understands sentiment (positive/negative) and intents from text.

DeepAffects caters to market research firms, media companies, call centers, HR departments, and more to gain data-driven insights from their content. Its customizable models provide flexibility to analyze niche use cases. The easy-to-use platform and API allow users to get insights at scale without needing machine learning expertise.

DeepAffects Features

Features

  1. Emotion detection
  2. Engagement detection
  3. Speaker diarization
  4. Keyword spotting
  5. Intent recognition
  6. Sentiment analysis
  7. Named entity recognition
  8. Topic modeling
  9. Language detection
  10. Transcription
  11. Translation
  12. Summarization

Pricing

  • Subscription-Based
  • Custom Pricing

Pros

Accurate emotion and engagement detection

Works across different languages and accents

Easy integration with other systems

Customizable models and workflows

Intuitive dashboards and visualization

Scalable and secure cloud infrastructure

Cons

Requires large datasets for best results

Limited support for niche use cases

Can be expensive for large scale deployments


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