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. Hence in this project we will start with the basics, analyzing a large corpus of text documents to discover the structure in the data and how words are put together. We will cover cleaning and analyzing text data, then building and sampling from a predictive text model.
In this capstone will work on understanding and building predictive text models like those used by SwiftKey like, 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.