This presentation outlines the development and logic behind a Shiny app designed to predict the next word in a phrase using trigram, bigram, and unigram models. It includes the algorithm strategy, app functionality, and potential future improvements. Created for the final capstone project of the Data Science Specialization.

This is an initial exploratory analysis of the text datasets provided for the SwiftKey Capstone Project. The datasets contain English-language data from blogs, news articles, and Twitter posts. The goal is to build a text prediction algorithm and deploy it using a Shiny app.