lundi 18 avril 2016

Smart word predictor

Completed my Johns Hopkins Data Science Specialization by submitting my final Capstone Project : a data product aiming to highlight the word prediction algorithm it is based on, and to provide an interface to it that can be accessed by anyone with a computer or a phone with an internet connection.

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. Smart keyboards make it easier for people to type on their mobile devices. One cornerstone of these smart keyboards 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. For this product, I built a predictive text model like those used by smart keyboards. 

Slide deck can be read on RPubs HERE (please note RPubs might not show correctly on some browsers).

The app is hosted on a Shiny server HERE