Coursera Data Science Capstone Project - Part-II

Joe Okelly
October 7, 2024

Overview

If you wish t o try out the app, clic k on the link https://joejokelly.shinyapps.io/Capstone-Project-work/

  • The app predicts the next word as the user type a word or a group of words.
  • The app used the Swiftkey technology

How To Use the App

Instructions : type a word in the Select box, in the option below it gives you option which you can choose from, on selecting any word it brings into the Select box, if not option is avaliable then N/A is displayed.

Capstone

Getting & Cleaning the Data

The original data was sampled from three sources, (blogs, twitter and new) which is later merged into one

  • Next, data cleaning is done, stipping white space, conversion to lowercase, removing punctuation and numbers. Later after the process is completed, n-grams are created (Quadgram, Trigram and Bigram).
  • Next, the count tables are extracted from N-Grams, and sorted with frequency in descending order.
  • The final process is the n-grams are saved into R-compressed files, (.RData files).

Algorithm used

  • Checks if highest-order (n =3) trigram is used. If not avaliable “degrades” to a lower-order (eq, n-2) bigram if not avaliable then (n=1) unigram.