2024-08-03

Introduction

  • Welcome to the Next Word Prediction App
  • This app predicts the next word based on an input phrase
  • Built using Shiny and a basic n-gram model

Algorithm

  • N-gram Model:
    • Uses trigrams (three-word sequences)
    • Predicts the next word based on the last two words of the input phrase
  • Data:
    • Sample corpus includes sentences such as:
      • “the quick brown fox jumps over the lazy dog”
      • “the quick brown fox is quick”

App Functionality

  • User Input:
    • Enter a phrase in the text box
    • Click the “Predict Next Word” button
  • Prediction:
    • The app processes the input and predicts the next word
    • Displays the predicted word or a message if no prediction is available

User Experience

  • Simple and Intuitive:
    • Easy-to-use interface
    • Provides real-time word predictions
  • Practical Use Cases:
    • Writing assistance
    • Educational tools
    • Text completion in various applications

Conclusion

  • Innovative Approach:
    • Uses a straightforward algorithm for quick predictions
    • Potential for enhancement with more sophisticated models
  • Future Improvements:
    • Integration with larger corpora
    • Use of advanced machine learning models like transformers
  • Would you hire this person?
    • Demonstrates strong skills in R, Shiny, and natural language processing
    • Capable of developing practical applications for real-world problems