Project Goals: Create a shiny app that predicts the next word a user might want given the first few words.

The data set used can be found: Data Download

Data sources came from blogs, twitter, and news files.

1. Data Loading and Clean Up
   -create corpus
   
2. Data Exploration
   -plot word clouds
   
3. Prediction Algorithm
   -n-grams and token and quanteda
   
4. Algorithm Optimization
   -reduce size of DFM from GBs to kbs
   
5. Create Shiny App
   
6. Create Slide Show

The App accepts a series of words and gives up to the top 5 predictions. If there are no results given the longest string, the algorithm reduces the number of words in the string until a result is given.

The Shiny App: App Link

Learn more about the Coursera Data Science Specialization: https://www.coursera.org/specializations/jhu-data-science