What is word embedding?

In word embedding, we convert sentences into vectors.

This representation is dense and have semantic.

word embedding is dense and semantic representation of words.

here we can see than of x axis words have higher similarity score towards semantic y axis words.

example. queen has higher score for royalty, human and living being than any other.

similarly, man has higher score for gender and human.