Coursera Data Science specialization - Capstone Project

This presentation will briefly but comprehensively pitch an application for predicting the next word.

The application is the capstone project for the Coursera Data Science specialization from Johns Hopkins University and in collabration with SwiftKey.

The main goal of this capstone project is to build a shiny application that is able to predict the next word.

It has few sub tasks #1.data cleaning #2.exploratory analysis #3.The creation of a predictive model.

The data file is from (http://www.corpora.heliohost.org/).

All NLP was done with the usage of a variety of well-known R packages.

After cleaning of the data removing whitespace,special charector,repeative words. etc.

This data sample was then tokenized called n-gram

Those aggregated bi-,tri- and quadgram term frequency matrices have been transferred into frequency dictionaries.

The resulting data.frames are used to predict the next word in connection with the text input by a user of the described application and the frequencies of the underlying n-grams table.

• The next word prediction app is hosted on shinyapps.io: https://dhyaneshbabu.shinyapps.io/NextWordPrediction/

• The whole code of this application can be found in this GitHub repo: https://github.com/dhyaneshbabu/DatascienceCapstone

• Coursera Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1