NLP identifies the link between language and the way in which we use our senses to respond to our environment and how language can reflect a preferred representational system.

NLP offers a wealth of opportunity for startups building with language AI to create efficiencies, build differentiated products, and get to market faster.

Natural Language Processing (NLP) is a cornerstone of modern AI and can be used to enable any number of different business use cases, from speech recognition to chatbots and sentiment analysis.

Learn how modern search engines like Google use advanced NLP to understand searches, match queries to content, and rank results.

A physician expert in natural language processing technology explains how it can help clinicians sift through unstructured data to better manage chronic conditions and boost health equity.

Natural language processing (NLP) is already enhancing business intelligence, and much more development is in the works.

Now, people can get trained in NLP and understand how to use it in business: via NLP copywriting, NLP-oriented products, NLP for sales, and just as a standard of communication.

Regardless of which bot model you decide to use—NLP, LLMs or a combination of these technologies— regular testing is critical to ensure accuracy, reliability and ethical performance.

Obtaining an understanding of how specific SDOH factors affect individuals is extremely difficult because SDOH data is not methodically collected by clinicians. Natural Language Processing (NLP ...

To help clinicians diagnose rare disease more quickly and accurately, many healthcare organizations are embracing technology solutions like natural language processing (NLP) tools that can create ...