What is word embedding?
Word embedding is a model that is trained to embed words in a vector space in such a way that similar words get similar vector representations. The most famous representatives of such models are Word2Vec and Glove.
Word embedding (definition)
Table of contents
About this guide
One of the most important NLP methods is defined below: the method of word embedding
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