Glossary
Intent Recognition
Classifying strategic intent behind interactions (informative, transactional, social). A click is not just a click.
Definition
Intent Recognition is the classification of the strategic intent behind user interactions-whether an interaction is informative (seeking knowledge), transactional (ready to convert), or social (engagement, sharing). A click is not just a click; it carries intent. Sentient OS applies intent recognition in Layer 2 (The Translator) of the architecture, using NLP and behavioral signals to classify interactions. Intent scoring drives budget allocation: high-intent segments receive more spend. Conversion modeling weights intent in driver analysis. Intent recognition enables the platform to distinguish between casual browsers and serious buyers, between exploratory engagement and conversion-ready behavior. It transforms raw signals into strategically meaningful categories.
Why It Matters
Intent recognition is how Sentient allocates budget and prioritizes audiences. High-intent segments get more; low-intent gets less. Deterministic allocation depends on intent classification.
Related Pages
Related Terms
Natural Language Processing (NLP)
AI technology for understanding human language in context. Used in Layer 2 for intent and tonality analysis.
Behavioral Analytics
Analyzing patterns in how people interact with content, products, brands across time and devices.
Conversion Rate
Percentage of users taking desired action. Sentient's multi-factor model identifies exact lift per driver.
KPI Aggregation
Modular linking of semantic metrics into business-specific KPIs with contextual weighting. Layer 3 of the architecture.
Signal Capture
Total holistic information capture at the protocol level. Multimodal: text, video, audio, visual semantics.
Explore the Full Platform
See how these concepts come to life inside Sentient OS.