Vector Representations of Words TensorFlow

In this tutorial we look at the word2vec model by Mikolov et al. This model is used for learning vector representations of words, called "word embeddings". This tutorial is meant to highlight the interesting, substantive parts of building a word2vec model in TensorFlow. This basic example contains the code needed to download some data, train on it a bit and visualize the result. But first, let's look at why we would want to learn word embeddings in the first place.