“Word embeddings or word vectors are a way for computers to understand what words mean in text written by people. The goal is to represent words as lists of numbers, where small changes to the numbers represent small changes to the meaning of the word. This is a technique that helps in building AI algorithms for natural language understanding — using word vectors, the algorithm can compare words by what they mean, not just by how they’re spelled.”

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About the author

This page was created by our editorial team. Each page is manually curated, researched, collected, and issued by our staff writers. Quotes contained on this page have been double checked for their citations, their accuracy and the impact it will have on our readers.

Kelly Peacock is an accomplished poet and social media expert based in Brooklyn, New York. Kelly has a Bachelor's degree in creative writing from Farieligh Dickinson University and has contributed to many literary and cultural publications. Kelly assists on a wide variety of quote inputting and social media functions for Quote Catalog. Visit her personal website here.

Kendra Syrdal is a writer, editor, partner, and senior publisher for The Thought & Expression Company. Over the last few years she has been personally responsible for writing, editing, and producing over 30+ million pageviews on Thought Catalog.