There are many different methods to use in text mining. The goal here is to provide a basic framework to apply to such an endeavor. This framework is not inclusive of all the possible methods, but will cover those that are probably the most important for the vast majority of projects that you will work on. Additionally, I will discuss the modeling methods in as succinct and clear a manner as possible, because they can get quite complicated. Gathering and compiling text data is a topic that could take up several chapters. One of the things I prefer and will put forward here is the use of the tidy framework. It will allow us to use tibbles and data frames for most of the steps, and the tidytext functions allow an easy transition to other types of text mining structures, such as a corpus.
The first task is to put the text files into a data frame...
