Application Of The Next Prediction Word

The presentation describe the application of https://equinenas.shinyapps.io/My_capstone/ is an R Shiny application exploring the topic of text prediction.

The application was designed to satisfy requirement of predicting the next work given an input as well as exploring different prediction algorithms.

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

• This assignment was divided into 7 data activities which are data cleansing, exploratory analysis and the creation of a predictive model.

• All text data that is used to create a frequency dictionary and thus to predict the next words comes from a corpus.

• All text mining and natural language processing was done with the usage of a variety of well-known R packages such as sqldf packages.

• The training data from https://d396qusza40orc.cloudfront.net/dsscapstone/dataset/Coursera-SwiftKey.zip was cleaned (removed numbers and punctuation) and n-grams formed for use in prediction.

• This data sample was then tokenized into so-called [n-grams]. Using these N-gram frequencies The Next Word can take the user submitted sentences and quickly calculate the most likely next word.Those aggregated uni-,bi- and trigram 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://equinenas.shinyapps.io/My_capstone/

• This pitch deck is located here: http://rpubs.com/equinenas/My_Capstone