Final project in the Data Scicne Capstone course Author: Kat Downey Shiny App :https://katjd197.shinyapps.io/Data_Science_Final_Project/ Git Hub Repo: https://github.com/KatDowney/datasciencecapstone

The final project in the 10 module data science specialisation was the Data Science Capstone project where I had to build and provide an interface that can use used by others.

I had to submit: - A Shiny app that takes an word or multiple words and outputs a prediction of the next word. - A slide deck consisting of no more than 5 slides detailing what has been done.

-Data was downloaded from Coursera-SwiftKey.zip.

-Read in the the blog, news and twitter dataset from the English language files -Built a corpus - a collection of written texts - used the function VCorpus. -The corpus is processed using tm_map to remove punctuation, numbers, whitespaces, stopwords and convert text to lower case.

-Next with the Shiny App I used the back off model that estimates the conditional probability of a word given its history with the n-gram. -https://en.wikipedia.org/wiki/Katz%27s_back-off_model

-Next we apply tokenization - which is the splitting of a phrase - into words

-The processed corpus was then tokenized in n-grams frequency database, namely 2-gram (bigram), 3-grams (trigram) and 4-grams (quadgram) with frequency of occurrence n.

-A shiny app that predicts the next word after text is inputted by a user.

https://katjd197.shinyapps.io/Data_Science_Final_Project/