R-Shiny project for Data Science Capstone Project

Predicts next word

In this capstone project, we will apply data science in the area of natural language processing.

• The project is based on building a corpora of data from tweets, blogs and news sources
• We apply then cleaning and data processing techniques.
• We build a predictive model to come up the next word
• We finally build an interacitve that use the model to predict the next word a user would likely type.

• Project's goal is to predict next word a user may type while using a keyboard.

• The project is based on using NLP https://en.wikipedia.org/wiki/Natural_language_processing to predict what a user might type after typing a word or more on keyboard.

• The app provides a text box where a user enter a word or more and the app display the next predicted word using N-Gram Tokenizatioin technique https://en.wikipedia.org/wiki/N-gram

• Shiny app https://medh.shinyapps.io/ShinyApp

• Generate 1-gram, bigram, and trigram matrices
• Generate frequency counts, generate a table of unique ngrams by frequencies
• SearchMatch a word character string with the appropriate n gram entered by uer