This presentation pitches the Sentence PredictR app

This report details the process of creating a next-word text prediction model using Natural Language Processing (NLP) techniques in R, utilizing datasets from news sites, blogs, and Twitter posts. The process involves creating a corpus from the source data, constructing ngrams, selecting an appropriate modeling technique to balance accuracy and speed, and then building and testing the models. The report also discusses building a shiny web app to showcase the model's capability in predicting the next possible words or phrases based on the input text.