Glossary
Computational Empathy
Technology that models human beliefs and resistances. Understanding the 'Why' behind behavior.
Definition
Computational Empathy is Sentient OS's approach to modeling human beliefs, resistances, and psychological drivers-not just behavioral signals. A click is not just a click; it carries intent, context, and emotional undertone. Computational empathy asks: Why did they engage? What beliefs shape their response? Is it price sensitivity, trust deficit, or product fit? The Psychographic Layer builds mathematical models of audience psychology: attitudes, interests, personality traits, and resistance patterns. This enables content-audience alignment that goes beyond demographics. Creator matching uses computational empathy to assess psychographic fit-do their audience's beliefs align with your brand? The concept extends to understanding skepticism, enthusiasm, and the emotional undertones that keyword-based sentiment analysis misses.
Why It Matters
Computational empathy is what separates Sentient from correlation-based platforms. We model the human behind the data-beliefs, resistances, fit-enabling decisions that resonate, not just target.
Related Pages
Related Terms
Psychographic Profiling
Understanding attitudes, interests, personality traits. Sentient's Layer 4 creates mathematical psychographic models.
Tonality Analysis
Evaluating emotional undertone through context and semantic analysis. Distinguishing sarcasm from enthusiasm.
Sentiment Analysis
Understanding emotional tone in text/media. Sentient extracts true sentiment through context, not just keywords.
Persona Vectors
Mathematical representations of customers as points in complex space, enabling computable similarity and distance.
Intent Recognition
Classifying strategic intent behind interactions (informative, transactional, social). A click is not just a click.
Explore the Full Platform
See how these concepts come to life inside Sentient OS.