Entity Extraction

What It Is

Entity Extraction identifies and classifies named entities within your corpus — people, organisations, concepts, technical terms, places, and dates. Each entity becomes a node in the Knowledge Graph, linked to the sources where it appears.

Why It Matters

Manual entity tagging doesn't scale. Automated extraction surfaces the key actors, concepts, and terms across thousands of documents, enabling pattern recognition, relationship mapping, and structured navigation that manual review cannot achieve.

What We Deliver

• Named entity recognition (NER) across documents and conversations
• Custom entity type definitions for domain-specific terminology
• Relationship extraction between co-occurring entities
• Entity resolution and disambiguation (merging duplicate references)
• Confidence scoring with human-in-the-loop review
• Automatic Knowledge Graph population from extracted entities

Related

• Products: Extraction Studio, Knowledge Graph
• Solutions: Extract Knowledge, Detect Similarity
• Use Cases: For Researchers, For Developers