What is NLP (Natural Language Processing)?

What is NLP?

NLP (Natural Language Processing) is the AI field that lets computers process human language. The goal is not to treat text or speech as a raw character stream, but to turn meaning, context, intent, sentiment, topic, and relationships into signals a machine can use.

Classifying a support ticket, measuring sentiment in customer reviews, extracting clauses from a contract, or returning the right product despite a typo in search are all NLP examples.

How NLP Works

Traditional NLP pipelines clean text, split it into tokens, extract stems or morphology, and convert the result into numerical features. Modern approaches often use embedding models and transformer-based systems that represent words in context.

• Classification: Ticket category, spam detection, sentiment analysis
• Entity recognition: Finding people, companies, dates, amounts, or product names
• Semantic search: Retrieving results by meaning rather than exact keywords
• Summarization and generation: Shortening long text or producing new text

Business Use

NLP is useful in call center transcripts, support tickets, email inboxes, product reviews, and document archives. It helps teams see which issues are increasing, which customers may be at risk, and which documents need manual review.

LLM-based systems have expanded NLP use cases, but data privacy, accuracy measurement, hallucination risk, and human review still matter. The underlying models should still be monitored with machine learning evaluation practices.