Data Science Capstone Final Project

The goal of this exercise is to create a product to highlight the prediction algorithm that you have built and to provide an interface that can be accessed by others. For this project you must submit:

• 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 (https://support.rstudio.com/hc/en-us/articles/200486468-Authoring-R-Presentations) pitching your algorithm and app as if you were presenting to your boss or an investor.

The goal of this app is to predict next word based on phrase input by user.

Example:

Input string:

“for the first”

Predicted word:

“time”

Source dataset: A training data from twitter news and blog. https://d396qusza40orc.cloudfront.net/dsscapstone/dataset/Coursera-SwiftKey.zip

Algorithm:

• Cleanning the corpora.
• Tokenization the corpora.
• Build n-gram model for predicting the next word based on the previous 1, 2, or 3 words.

Application address: https://haoyi-he.shinyapps.io/Data-Science-Capstone-Final-Project/