To make sure machine learning algorithms can use words as input data they are converted into a set of numbers. For those who remember bits of their math classes in school, this is comparable to x- and y-coordinates. For example, the point (3,2) is the point where x = 3 and y = 2. Instead of using just 2 dimensions like x and y, word vectors use hundreds, if not thousands of dimensions.