Description of the next word prediction algorithm and its implementation in a Shiny application.

The goal of the capstone project is to create a predictive text model using a large text corpus of documents as a training dataset. To reach this goal, natural language processing techniques will be applied. This report describes the main steps of the exploratory data analysis and summarize the major features identified in the dataset. At last, the plan for the creation of the predictive model and the related application will be presented.