QinQin0912
Jun.04,2016
The goal of this Shiny App is to create a product to highlight the prediction algorithm that we have built and to provide an interface that can be accessed by others via a Shiny app.
N-Grams
An n-gram is a contiguous sequence of n items from a given sequence of text or speech. The items can be phonemes, syllables, letters, words or base pairs according to the application. The n-grams typically are collected from a text or speech corpus. An n-gram of size 1 is referred to as a “unigram”; size 2 is a “bigram” (or, less commonly, a “digram”); size 3 is a “trigram”. Larger sizes are sometimes referred to by the value of n, e.g., “four-gram”, “five-gram”, and so on.
The app is deployed to shinyappsio via Rstudio.
It is a very handy,fast-responsive web app for word prediction.
Accuracy increases as N increases.
However, this app can still be further developed for machine learning predictive behaviour.