Coursera Data Science Final Capstone Project

This presentaion details the application for the data science capstone project from John Hopkins University.

The goal of this project is to create a shiny application to highlight the prediction algorithm that was built and to provide an interface that can be accessed by others.

For this project a Shiny application was created. The app takes as input a phrase (multiple words) in a text box input and outputs a prediction of the next word.

In this project a sample file was made from three larger files: Twitter, News and Blogs. Then this sample file was cleaned by converting it to lowercae, removing punctuation, links and white space, numbers and all kind of characters. This clean sample data was then tokenized into n-grams.

The aggregated bi, tri and quadgrams have been used to trasferred into frequency dictionary. The resulting data files are used to predict the next word of a partially phrase enterd by the user in the application text box.

• The word prediction shiny app can be find: https://arezu.shinyapps.io/FinalCapstone/
• The entire code of this application along with Server.R and Ui.R files can be find in this GitHub repo: https://github.com/uzera/CapstoneProject
• To learn more about the Coursera Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1