Natural Language Processing (NLP)

Also known as: Computational Linguistics, Language AI

A field of artificial intelligence that enables computers to understand, interpret, and generate human language in a valuable way.

What is Natural Language Processing (NLP)?

Natural Language Processing (NLP) is a branch of artificial intelligence focused on enabling computers to understand, interpret, and generate human language in ways that are meaningful and useful.

NLP combines computational linguistics—rule-based modeling of human language—with statistical, machine learning, and deep learning models. These technologies allow computers to process human language in the form of text or voice data and 'understand' its full meaning, complete with the speaker or writer's intent and sentiment.

Key capabilities of NLP include:

Text classification: Categorizing text into predefined groups
Named entity recognition: Identifying entities such as people, places, and organizations in text
Sentiment analysis: Determining the emotional tone behind text
Language translation: Converting text or speech from one language to another
Text summarization: Creating concise summaries of longer texts
Question answering: Providing accurate answers to natural language questions

NLP is fundamental to many AI applications, including search engines, chatbots, virtual assistants, content analysis tools, and language translation services.

Related Terms

Machine Learning

A subset of artificial intelligence that enables systems to learn and improve from experience without being explicitly programmed.

Large Language Models (LLMs)

Advanced AI systems trained on vast amounts of text data that can understand, generate, and manipulate human language with remarkable fluency and versatility.

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Term Details

Category: AI Technology
Type: concept
GEO Readiness: structured