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NLP

Natural Language Processing

The branch of AI that enables computers to understand, interpret, and generate human language.

By Sitebard TeamUpdated March 8, 2026

In plain English

Natural language processing is the part of AI that helps computers understand and use human language. It is what lets software read your text, translate it, or figure out how you feel.

Technical definition

Natural language processing is a field of artificial intelligence concerned with the computational analysis and generation of human language. It spans tasks such as tokenization, parsing, sentiment analysis, machine translation, and text generation, increasingly powered by transformer-based neural networks.

Business use case

Businesses use NLP to analyze customer feedback at scale, route support tickets automatically, and extract key information from contracts and emails. This turns large volumes of unstructured text into actionable insight without manual reading.

Example

An airline runs thousands of tweets through an NLP system that labels each as positive, negative, or neutral so the support team can prioritize unhappy customers.

Frequently asked questions

Natural language processing is the area of AI focused on helping computers read, understand, and generate human language in text or speech form.

NLP includes tasks such as translation, sentiment analysis, summarization, named-entity recognition, speech recognition, and question answering.

Large language models are a modern, powerful approach to NLP, but NLP as a field also includes older statistical and rule-based methods for processing language.

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