NLP

Natural Language Processing (NLP)

The branch of AI focused on making computers understand, interpret, and generate human language.

Definition

A branch of AI focused on enabling computers to read, interpret, and generate human language. It spans tasks such as machine translation, summarization, sentiment analysis, named entity recognition, and question answering. Early NLP relied on hand-written rules and statistical methods; modern NLP is dominated by transformer-based models that learn language patterns from very large text datasets.

Why it matters

NLP is the layer underneath almost every text-based AI product, from chatbots and search engines to contract analysis and customer-feedback mining. For revenue teams, it is what turns unstructured emails, call transcripts, and notes into structured signals a system can act on.

Related terms in NLP

BERT

Google's breakthrough AI model that reads sentences in both directions at once to understand context better.

Chain of Thought (CoT)

Asking an AI to "show its work" and think step-by-step, which makes it much better at solving math and logic problems.

Context Window

The maximum amount of text an AI can read and consider at one time, like how many pages of notes it can hold in its head.

Conversational AI

AI that can have natural back-and-forth conversations with humans, chatbots, voice assistants, and customer service bots.

Back to the full glossary

From vocabulary to outcomes

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