Next-Word Prediction Shiny App

Vadavalasa Maneesha

Problem & Goal

  • Predict the next word in a text phrase.
  • Build a Shiny app to demonstrate the prediction model.
  • Make it accessible and interactive for anyone to test.

Algorithm

  • Model type: N-gram based prediction.
  • Steps:
    • Clean the text (remove punctuation, lowercase, etc.)
    • Tokenize into words and generate n-grams
    • Predict the next word based on frequency of occurrence
  • Tools used: R, dplyr, stringr, shiny.

The Shiny App

  • Input: Text box where user types a phrase.
  • Output: Predicted next word appears after pressing Submit.
  • Simple, fast, and interactive interface.
  • Runs live at: Your app link

Example Phrases & Predictions

  • “I love” → Predicted next word: “you”
  • “Data science is” → Predicted next word: “fun”
  • “Machine learning can” → Predicted next word: “predict”
  • “The weather today” → Predicted next word: “is”
  • “Artificial intelligence will” → Predicted next word: “change”

Conclusion & Pitch

  • Experience: Easy and interactive demonstration of NLP prediction.
  • Novelty: Demonstrates live next-word prediction in a simple Shiny app.
  • Pitch: Invest in smart text prediction tools for better user experience.
  • Try it yourself with the live app link!