Glossary
Natural Language Processing (NLP)
AI technology for understanding human language in context. Used in Layer 2 for intent and tonality analysis.
Definition
Natural Language Processing (NLP) is the branch of AI that enables machines to understand, interpret, and generate human language in context. Sentient OS uses NLP throughout the stack: in Layer 2 (The Translator) for intent recognition and tonality analysis, in the Psychographic Layer for semantic alignment, and in content intelligence for resonance modeling. NLP models parse text for meaning, sentiment, and intent-going beyond keyword matching to understand nuance, sarcasm, and implicit content. Multi-modal NLP extends to captions, transcripts, and metadata. The technology enables the platform to process the vast volume of text generated by social commerce, reviews, and customer interactions-transforming language into structured, actionable intelligence.
Why It Matters
NLP powers intent recognition, tonality analysis, and semantic alignment. Sentient processes human language at scale to extract strategic intelligence.
Related Pages
Related Terms
Intent Recognition
Classifying strategic intent behind interactions (informative, transactional, social). A click is not just a click.
Tonality Analysis
Evaluating emotional undertone through context and semantic analysis. Distinguishing sarcasm from enthusiasm.
Semantic Alignment
Multi-modal embedding similarity between content themes and product categories. Deep matching beyond keywords.
Sentiment Analysis
Understanding emotional tone in text/media. Sentient extracts true sentiment through context, not just keywords.
Machine Learning
AI systems that learn patterns from data. Sentient uses unsupervised learning for archetypal discovery.
Explore the Full Platform
See how these concepts come to life inside Sentient OS.