What is natural language processing?
Natural language processing, or NLP, is the field of computing that lets software read, interpret and produce human language, covering tasks such as sorting emails by topic, pulling names and dates from text, transcribing speech and answering questions.
NLP is the umbrella term; large language models are the most visible recent tool inside it. Long before ChatGPT, NLP powered spam filters, spell checkers, search engines and voicemail transcription. What changed recently is that one general model can now handle many language tasks that used to need separate, specially trained systems.
For a service business, NLP shows up wherever unstructured language meets a structured system. A customer writes a rambling email; NLP picks out the account, the request type and the urgency. A technician leaves a voice note; NLP turns it into text and fills fields in the job record. The value is moving information into the right place without retyping.
When evaluating a tool that claims NLP features, test it on your own messy inputs: misspellings, local street names, industry jargon, and customers who answer three questions in one sentence. Ask how it handles low confidence. A good system flags uncertain extractions for a person instead of guessing, and lets you measure how often it gets fields right.
Example
For example, a property management company receiving dozens of tenant emails a day could use NLP to tag each message as maintenance, rent, lease or noise complaint, extract the unit number, and file it in Buildium. Anything the system is unsure about lands in a shared inbox for a coordinator to sort by hand.