CapstonePro

The prediction model uses the principles of tidy data applied to text mining in R. The following Key steps are involved in the prediction model.

• As an input, it takes raw text files for model training
• Clean the raw data; separate into 2, 3, 4, 5, and 6 word n grams and save as tibbles
• Sort the n grams tibbles by frequency and save the data as .rds files
• N grams function uses a back-off type prediction model
  • User supplies an input phrase

Model uses last 5, 4, 3, 2, or 1 words to predict the best 6th, 5th, 4th, 3rd, or 2nd match in the data

As an output, it predicts next word

The Next Word Predictor app provides a simple user interface to the next word prediction model. The app takes as input a phrase (multiple words) in a text box input and outputs a prediction of the next word.

https://aanchalsetia.shinyapps.io/capstonepro/