NLP (Natural Language Processing)

Executive Definition: NLP (Natural Language Processing) — The branch of artificial intelligence concerned with giving computers the ability to understand, interpret, and generate human language.

NLP enables machines to read, process, and produce text or speech. It powers applications such as chatbots, sentiment analysis, document summarization, translation, and search. Modern NLP is dominated by transformer-based models, which significantly outperform previous statistical methods.

Frequently Asked Questions

What are the most common NLP use cases in business?

Common applications include customer support chatbots, email classification, document summarization, sentiment analysis, contract analysis, and automated translation.

Has NLP improved recently?

Dramatically. The advent of Large Language Models (LLMs) has made complex NLP tasks accessible via simple API calls, often outperforming older, domain-specific models.

Do I need labeled data for NLP tasks?

Not always. Modern LLMs can perform many NLP tasks zero-shot. However, for specialized domains or high-accuracy requirements, fine-tuning with labeled data remains highly effective.