2022-05-11

Introduction

Thank you for viewing my final assignment in the Johns Hopkins Data Science Specialization.

Instructions

Goals of this exercise:

  • Create a product that highlights a prediction algorithm, based on the cleaning analysis conducted in part 1.

  • Build an interface that can be accessed by others.

  • Submit the following:

A Shiny app that takes as input a phrase (multiple words) in a text box input and outputs a prediction of the next word. A slide deck consisting of no more than 5 slides created with R Studio Presenter pitching the algorithm and app.

Analysis

  • Originally utilizing a Coursera SwifyKey data-set, which included english/US text from Blogs, News, and Tweets.

  • The original data-set consisted of 899288 Blogs, 1010242 News and 2360148 Tweets.

  • Exploratory Data Analysis was conducted on 10k Blogs, News and Tweets: RPubs Link

  • For this presentation the “Stylo” package has been used to build the prediction model for the app.

Language Predicting App

App Instructions

  1. Enter part of some text and click ‘Fetch Results’

  2. This will display the predicted text on the right side of the application

References