Using N-Gram Model with R Shiny

• A simple predictive text application
• Built using R Shiny and N-gram models
• Goal: Predict the next word based on input phrase

• Typing assistance improves user experience
• Predictive text is used in:
  • Messaging apps
  • Search engines
• Our task:
  • Build a predictive model to guess the next word

• Built a Shiny app for real-time word prediction
• Approach:
  • Use Bigram and Trigram models
  • Match user input and predict the next word
• Features:
  • Simple interface
  • Real-time prediction

1. Collect sample text data
2. Create bigrams & trigrams
3. Prediction logic:
   • Match last two words → Trigram
   • Else match last one word → Bigram
4. Output predicted word

Benefits: - Lightweight and simple - Demonstrates NLP basics

Future Scope: - Use large datasets for better accuracy - Add deep learning models - Deploy on shinyapps.io for public use