This slide deck presents LinguaNext, a predictive text application built using an N-Gram backoff language model. It explains the data preparation process, the modeling approach, evaluation of predictive performance, and demonstrates how the Shiny app enables real-time next word prediction through an interactive interface.

This report presents an exploratory analysis of the English blogs, news, and Twitter text files from the SwiftKey capstone dataset. The objective is to understand the structure, size, and language patterns in the data before building a next-word prediction model. The analysis includes basic summaries, sampling, text cleaning, word frequency exploration, and initial observations that guide the design of an efficient predictive text algorithm and Shiny application