• 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

1. A Shiny app that takes as input a phrase (multiple words) in a text box input and outputs a prediction of the next word.
2. A slide deck consisting of no more than 5 slides created with R Studio Presenter

The app was built using the Shiny R program (and this presentation in R Markdown). It was created to help predict the next word in a sentence using english data from SwiftKey.

The data was analyzed using n-grams, needing the R functions NGramTokenizer() and Weka_control(). A training data set was created and a ‘validation’ dataset was subsetted from this training data. This allowed a validation step of the training data, before being implemented on the test data.

The following was some of the server code used for the production of the product

shinyServer(function(input, output) {
    output$prediction <- renderPrint({
        result <- predictWord(input$inputText)
        output$sentence2 <- renderText({message})
        result
    });
    output$sentence1 <- renderText({
        input$inputText});
}
)