What is Natural Language Processing (NLP)?
Natural Language Processing (NLP) is the AI field concerned with how machines can understand, analyse, and generate human language.
DEFINITION
Natural Language Processing is the foundation behind almost all everyday AI language functions. When writing with a chatbot, summarising a document with AI, or using the spam filter in an email system, NLP is at work. NLP combines linguistics and machine learning to teach computers how to handle language. Classic NLP tasks include text classification, sentiment analysis, named entity recognition, machine translation, and text summarisation. With the rise of large language models, these tasks are no longer separate specialised models but are handled by a single model. NLP differs from simple text search because it processes meaning, context, and nuance — not just keywords. For understanding how AI works with language, NLP is the foundational field.
CONNECTIONS
Leadership
NLP systems can automatically evaluate employee surveys, feedback text, and communication. This gives leaders insights into team mood and concerns that would be hardly captureable manually.
Agility
NLP can automatically check user stories for completeness, cluster similar requirements, and identify dependencies. This significantly speeds up backlog maintenance and sprint planning.
Project Management
NLP analyses stakeholder communication: emails, meeting minutes, and reports can be scanned for sentiment, risk signals, and open items before they escalate.
KEY POINTS
- NLP is the AI field for machine understanding and generation of language.
- Classic tasks: text classification, translation, sentiment analysis.
- LLMs have largely replaced classic NLP single pipelines.
- NLP processes meaning and context, not just keywords.
- Spam filters, chatbots, and translation tools are NLP applications.
EXAMPLE
An insurance company processes thousands of customer responses daily from emails, app reviews, and surveys. An NLP system automatically classifies each message by topic (claims, contracts, service), detects tone (positive, negative, neutral), and prioritises urgent cases. What a team of ten people used to evaluate now appears automatically in the dashboard every day.
MISCONCEPTIONS
Is NLP the same as a chatbot?
No. NLP is the underlying field. A chatbot is an application that uses NLP. NLP is broader and encompasses far more than conversational systems.
Does NLP really understand language?
NLP processes language with mathematical precision, but it does not “understand” in the human sense — with lived meaning. It recognises patterns and statistical relationships in language.