Final Project Submission , Next Word Prediction

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 corpora are collected from publicly available sources by a web crawler. The crawler checks for language, so as to mainly get texts consisting of the desired language.

• Since the data is large. This project will use random 5% data from Blogs, Twitter, News.

• For easier analysis, the data remove number and punctuation.

• Create a N-Gram algorithm. 2-Gram, 3-Gram and 4-Gram will use as base for the analysis

• Count the frequency for N-Gram and get the top three for the prediction.