Text Predictor Application
Vamshi Krishna
27-July-2020
Introduction
- This presentation is created as show case to the shiny application we have created
- Find the shiny application here (https://vamshigvk.shinyapps.io/TextPredictor/)
- The goal of this project is to predict the next word when you enter some words in the input field
- We are using ui.R , server.R , WordPredictor.R and RDS files from DataScienceCapstone_Week2_milestone_review files here
- You will have to enter a word or sentence and we will predict the next word
Data
The 3 documents of text files we have used are
- en_US.twitter.txt
- en_US.news.txt
- en_US.blogs.txt
Using above txt files and 'tm' library we have cleaned and stored the data into Rds files,
RDS files are unigram.Rds, bigram.Rds, Trigram.Rds and Quadgram.Rds
Predictive Model
- Using the Rds files generated from the above markdown,
- we will predict the text by taking input from ui and
- giving that to server and using the WordPreictor.R source file,
- we will get the predicted word and then we will display it on the ui.
- If a word is not found due to small input to algorithm we will display NA in output
Shiny Application screenshot
