We talked briefly about word embeddings (also known as word vectors) in the spaCy tutorial.
SpaCy has word vectors included in its models. This tutorial will go deep into the intricacies of how to compute them and their different applications.
Take for example this article: Text Classification Recipe. Using the BOW model we just keep counts of the words from the vocabulary. We don’t know anything about the words semantics.