Employing Semantic Search

By Melody Smith|November 30th, 2022|News|Comments Off

It is no secret that natural language processing is directly related to semantic search. This interesting information came to us from Search Engine Land in their article, “How Google uses NLP to better understand search queries, content.”

Natural language processing (NLP) and natural language understanding (NLU) are often-confused technologies that make search more intelligent and ensure people can search and find what they want. That intelligence is semantic search.

Semantic search has long been a component in the technology of tech giants such as Google, Amazon and Netflix. Semantic search unlocks the door to many products and applications, the scope of which is unknown but already broad. Search engines, autocorrect, translation, recommendation engines, error logging and much more are already heavy users of semantic search.

Data Harmony is Access Innovations’s artificial intelligence (AI) suite of tools that leverage explainable AI for efficient, innovative and precise semantic discovery of new and emerging concepts to help find the information you need when you need it.

Melody K. Smith

Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.

About the Author: Melody Smith

Melody K. Smith has provided organizational, social media and digital communication services to a large non-profit for the past twenty years. Prior to that she championed employee engagement and communications in the healthcare field. She holds a Bachelors degree in Marketing. When not wrangling and writing TaxoDiary content for your reading pleasure, Melody writes fiction, rescues dogs and throws legendary dinner parties.

Comments are closed.

Employing Semantic Search