What is Natural Language Processing (NLP)?
The branch of AI focused on enabling computers to understand, interpret, and generate human language.
Why It Matters
NLP powers chatbots, translation services, sentiment analysis, and any application that works with text.
Real-World Example
When Gmail suggests how to finish your sentence as you type, that is NLP in action.
“Understanding terms like Natural Language Processing (NLP) 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
Large Language Model (LLM)
An AI system trained on massive amounts of text that can understand and generate human language.
Sentiment Analysis
Using AI to determine whether a piece of text expresses positive, negative, or neutral feelings.
Named Entity Recognition (NER)
An AI technique that identifies and classifies named items in text, such as people, places, and organisations.
Text Classification
Using AI to automatically sort text into predefined categories.
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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.
Sentiment Analysis
Using AI to determine whether a piece of text expresses positive, negative, or neutral feelings.
Named Entity Recognition (NER)
An AI technique that identifies and classifies named items in text, such as people, places, and organisations.
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.