Machine learning models, including deep neural networks, take numeric information in and produce numeric output. The challenge with natural language processing then becomes, naturally, converting words to numbers.

There are a variety of ways that we can convert words to numbers. All of these methods satisfy the same goal, converting some sequence of words into a numeric vector. Some methods work better than others because, sometimes, when we make this conversion, we can lose some meaning in the translation.