Named Entity Recognition (NER)
Identifying and classifying named entities like people, organisations, and dates in text.
Definition
Named Entity Recognition (NER) is an NLP technique that identifies and classifies named entities in text into predefined categories such as person names, organisations, locations, dates, monetary values, and more. In document processing, NER enables automatic extraction of key information without requiring templates or manual configuration. Modern NER systems use deep learning to understand context and handle ambiguous cases.
More in Document Processing
Data Extraction
Automatically pulling structured information from unstructured documents.
Document Classification
Automatically categorising documents by type, topic, or purpose.
Intelligent Document Processing (IDP)
AI-powered automation that extracts, classifies, and processes data from documents.
Document Parsing
Converting documents into structured, machine-readable data.
See Named in action
Understanding the terminology is the first step. See how Conductor applies these concepts to solve real document intelligence challenges.
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