What is Named Entity Recognition (NER)?
An AI technique that identifies and classifies named items in text, such as people, places, and organisations.
Why It Matters
NER automates the extraction of structured information from unstructured text like emails and documents.
Real-World Example
Automatically extracting company names and addresses from incoming business emails.
“Understanding terms like Named Entity Recognition (NER) matters because it helps you have better conversations with developers and make smarter decisions about your software. You do not need to be technical. You just need to know enough to ask the right questions.”
Related Terms
Natural Language Processing (NLP)
The branch of AI focused on enabling computers to understand, interpret, and generate human language.
Text Classification
Using AI to automatically sort text into predefined categories.
Large Language Model (LLM)
An AI system trained on massive amounts of text that can understand and generate human language.
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Related Terms
Large Language Model (LLM)
An AI system trained on massive amounts of text that can understand and generate human language.
Natural Language Processing (NLP)
The branch of AI focused on enabling computers to understand, interpret, and generate human language.
Text Classification
Using AI to automatically sort text into predefined categories.
Transformer
A type of AI architecture that processes text by paying attention to relationships between all words at once, rather...
Attention Mechanism
A technique that lets AI models focus on the most relevant parts of the input when generating output.
Tokenisation
The process of breaking text into smaller pieces called tokens that an AI model can process.