AI Support & Agents

Natural Language Processing (NLP)

Definition

Natural language processing (NLP) is the field of AI focused on enabling computers to understand, interpret, and generate human language — the foundation for tasks like intent recognition, sentiment analysis, and text classification.

Also known as: NLPnatural language understandingNLU

How it works

NLP covers a range of techniques for turning messy human text into structured meaning: tokenizing text, recognizing entities, classifying intent, gauging sentiment, and generating responses. Older systems relied on hand-built rules; modern NLP is dominated by large language models.

In a help desk, NLP is what reads an incoming message and works out what the customer actually wants — before anything can be answered or routed.

Why it matters for support

Every automated support workflow starts with understanding language. NLP powers the intent detection that routes tickets, the sentiment analysis that flags upset customers, and the comprehension that lets an AI agent respond to a request phrased in a customer's own words.

Frequently asked

What is the difference between NLP and NLU?

NLU (natural language understanding) is the comprehension side of NLP — extracting meaning and intent. NLP is the broader field, covering both understanding and generating language.

Is NLP the same as a large language model?

No. NLP is the field; an LLM is a modern tool that performs many NLP tasks at once. LLMs have largely replaced older rule-based NLP methods.

Related terms

Large Language Model (LLM)

A large language model (LLM) is a neural network trained on vast amounts of text to predict and generate language, enabling it to understand questions, summarize, classify, and write human-like responses..

Intent Recognition

Intent recognition is the process of identifying what a customer is trying to accomplish from their message — such as "track an order," "request a refund," or "cancel a subscription" — so the system can route or resolve it correctly..

Sentiment Analysis

Sentiment analysis is the automated classification of the emotional tone of a message — typically positive, negative, or neutral — so teams can gauge how a customer feels and respond appropriately..

Text Classification

Text classification is the task of automatically assigning a category or label to a piece of text — such as tagging a support ticket by topic, language, or priority..

Entity Extraction

Entity extraction is the process of pulling specific pieces of structured information — like names, order numbers, dates, products, or amounts — out of unstructured text so a system can act on them..

Put these ideas to work

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