Word Embeddings and Embedding Projector of TensorFlow

Theoretical explanation and a practical example.

Photo by Ross Joyner on Unsplash

Word embedding is a technique to represent words (i.e. tokens) in a vocabulary. It is considered as one of the most useful and important concepts in natural language processing (NLP).

In this post, I will cover the idea of word embedding and how it is useful in NLP…