Project Overview

Around the world, people are spending an increasing amount of time on their mobile devices for email, social networking, banking and a whole range of other activities. But typing on mobile devices can be a serious pain. SwiftKey, our corporate partner in this capstone, builds a smart keyboard that makes it easier for people to type on their mobile devices. One cornerstone of their smart keyboard is predictive text models. When someone types:

I went to the

the keyboard presents three options for what the next word might be. For example, the three words might be gym, store, restaurant.

In this capstone, the text data logged from News, Twitter, and Blogs are analyzed and processed. These data are used to build a model to predict the next word when giving a phrase.

Outline of the Project

• Data download and read in
• Exploratory Data Analysis
• Build Katz backoff model
• Predict Next Words
• Shiny App

Exploratory Data Analysis

Katz Backoff Model

Predict Next Word and Shiny App

• The R markdown and Shiny App files can be found at https://github.com/Aaron2014/JHU_Capstone_Project

• The Shiny App can be accessed at https://es0for-aaron-fong.shinyapps.io/predict_word/