Tech Insights

Natural Language Understanding

Last updated , generated by Sumble
Explore more →

What is Natural Language Understanding?

Natural Language Understanding (NLU) is a branch of artificial intelligence that focuses on enabling computers to understand and interpret human language. It goes beyond simply recognizing words; NLU aims to extract the meaning and intent behind the text, allowing machines to respond appropriately. Common uses include chatbots, virtual assistants, sentiment analysis, and information retrieval systems.

What other technologies are related to Natural Language Understanding?

Natural Language Understanding Complementary Technologies

ASR converts speech to text, which is often a necessary input for NLU systems dealing with spoken language.
mentioned alongside Natural Language Understanding in 27% (127) of relevant job posts
NLG is the inverse of NLU, generating text from structured data. Both are often used together in conversational AI systems.
mentioned alongside Natural Language Understanding in 25% (134) of relevant job posts
Machine translation leverages NLU to understand the source language and NLG to generate the target language.
mentioned alongside Natural Language Understanding in 9% (98) of relevant job posts

Which job functions mention Natural Language Understanding?

Job function
Jobs mentioning Natural Language Understanding
Orgs mentioning Natural Language Understanding
Data, Analytics & Machine Learning

Which organizations are mentioning Natural Language Understanding?

Organization
Industry
Matching Teams
Matching People
Natural Language Understanding
Apple
Scientific and Technical Services
Natural Language Understanding
ServiceNow
Scientific and Technical Services

This tech insight summary was produced by Sumble. We provide rich account intelligence data.

On our web app, we make a lot of our data available for browsing at no cost.

We have two paid products, Sumble Signals and Sumble Enrich, that integrate with your internal sales systems.