Capstone Project

Nashit Babber
Sept 2, 2017

Overview

This capstone project was given with the following goals:

  • To develop a shiny app that could predict the nest word

  • creating a presentation to get a pitch from the investors

The shiny app can be found at the following URL

Approach and Logic

  • First the data was loaded and sanitised.
  • Text were tokenised into n-grams for prediction.
  • The final n-gram data frames are the matrix of words with their frequencies to predict the text based on user input.
  • if the word cannot be predicted it just prints null.(Try some words like hakuna matata ;))

The Shiny App

my image

Start typing in the input box(in the side panel) , the predicted word will appear in the main panel.The model used to predict the word will be displayed below the predicted word

Wrap Up

  • This model can be made more accurate, but this could have led in serious drop off in the speed and would hae increased the computation power.

  • The Shiny app for this project could be found at this link

  • This pitch can be found at this Rpubs URL