NLP
Natural language processing is a subfield of artificial intelligence and linguistics. It focuses on processing natural language and understanding human text or speech so computers can handle things said or written in human languages.
On this page
Source content checked . English translation published 2026-10-27.
In business automation
Natural language processing makes it possible to turn free-form text into information that can be acted on. It includes tasks such as intent recognition, detail extraction, and classification, and does not require generating a new response every time.
Examples
These examples illustrate a possible workflow. Adapt the connections and rules to your own systems.
Business process example
A customer writes that they want to move the meeting to another day. The system identifies a change request, extracts a suggested time, and asks for clarification if the exact date is missing before updating the calendar.
Relevant tools
- Rasa
- Build conversational assistants with intent recognition and handling workflows, depending on the system's design.
What to check
- Words such as tomorrow or Sunday depend on time and context. Provide the system with a clear date and time zone.