This project is a wep application that predicts the next word based on previous text input.
It uses language modeling with trigrams and Modified Kneser-Ney Smoothing. Entirely developed in R along side shiny package.
The web app was build aiming not only accuracy but also fast prediction results for an online user.
It was build as a Capstone Project in the last course of the Data Science Specialization from Johns Hopkins University on Coursera.
Link to the app: Next Word Web App