Natural Language Processing (NLP)
Natural Language Processing (NLP) is a field of artificial intelligence that deals with the interaction between computers and human language. NLP enables machines to read text, understand its meaning, determine sentiment, and generate human-like responses. In customer support, NLP powers everything from intent classification to AI chatbots.
NLP in support automation
NLP enables support systems to understand what customers are asking regardless of how they phrase it. It powers intent detection (is this a billing question or a technical issue?), sentiment analysis (is this customer frustrated?), and language generation (producing natural, helpful responses). Modern LLMs represent the most advanced form of NLP.
From rule-based to AI-powered
Early support chatbots used pattern matching and decision trees — rigid rules that broke when customers phrased things unexpectedly. Modern NLP-powered systems use transformer models (the architecture behind LLMs) that understand context and nuance, handling the long tail of customer questions that rule-based systems miss.
Related terms
Large Language Model (LLM)
An AI model trained on vast amounts of text data that can understand and generate human language, powering chatbots, summarization, and question-answering systems.
Semantic Search
A search technique that understands the meaning and context of a query rather than just matching keywords, using vector embeddings to find conceptually related results.
AI Hallucination
When an AI model generates a response that sounds plausible but is factually incorrect or fabricated, not grounded in actual data.