300-dim word2vec encodes: trained on word co-occurrence with skip-gram window

Ever wondered how computers understand words?

Image: Vadim Zhuravlev, Public domain, via Wikimedia Commons

300-dim word2vec encodes: trained on word co-occurrence with skip-gram window

Ever wondered how computers understand words?

Imagine you're trying to teach your smart speaker to recognize different ways to say "I will go to the store."

The speaker uses a special method to link words that mean the same thing based on how they're used together.

Example

If you say "I will go to the store," the speaker learns to connect it with "I will shop."

Remember this

Word2vec helps computers grasp language nuances by finding patterns in word usage.

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