JHU - DataScience Capstone Presentation

With this slides I will present the use of my DataScience Capstone application for predicting the next word.

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.

And thus for this project I submited:

• A Shiny text prediction application: application

• A slide deck for describing to use of app: description

The data used to create a frequency dictionary and predict the next words, using unigrams, bigrams and trigrams n-grams, comes from a corpus called Corpus Download.

All text mining and natural language processing was done with the usage of follows R packages: NLP, tm, rJava, RWeka, SnowballC, and ggplot2.

The main concept to understand my prediction application is the use of unigrams, bigrams and trigrams to solve the fit of next word, i generated these and search in them the words from the input field.

The application return the result of the:

• The 5 first Trigram.
• The 5 first Bigram.
• The 5 first unigram

If they are available, in other case show: “WITHOUT RECOMMENDATIONS”