omarbenites / capstone_swiftkey

Word Prediction Shiny App

README.MD

(https://github.com/akselix/capstone_swiftkey)

This project was the final part of a 10 course Data Science track by Johns Hopkins University on Coursera. It was done as an industry partnership with SwiftKey. The job was to clean and analyze a large corpus of unstructured text and build a word prediction model and use it in a web application.

More info here: (http://rpubs.com/akselix/word_prediction)

Runbook

Shiny app

1. Data is preloaded into (./shiny/data/)

2. ./shiny/prediction.R

   • Contains most of the functions used by the other scripts

3. ./shiny/server.R

   • Contains the server side functions

4. ./shiny/ui.R

   • Handles the input/output

Preparing the data and validation

1. ./shiny/prediction.R

   • Contains most of the functions used by the other scripts

2. ./prepare_data.R

   • Data is cleaned and tokenized with this

3. ./test_prediction.R

   • Run manual tests

4. ./validation.R

   • Run an automated accuracy calculation on validation data