Implement tf-idf with tm

We discussed tf-idf or term frequency-inverse document frequency. This is a tool that identifies the importance of a word (or token) in a document. With it, we can select a token, and then draw assumptions on which document it most likely came from.

Let’s learn more about creating tf-idf, and then how to use it.

Calculating tf-idf with tm

Different packages have implemented different methods for calculating tf-idf. In the case of the tm package, it’s done when creating a DTM. Other packages perform this in different ways.

Here is code to illustrate the creation of tf-idf: