Next Word Prediction Application

Objective

This application predicts the most likely next word based on a phrase entered by the user.

Key Features

• Interactive web application built with Shiny
• Fast next-word prediction
• Uses an n-gram language model
• Deployed on shinyapps.io

Application

https://neekaush.shinyapps.io/NextWordPrediction/

Algorithm

The prediction model follows these steps:

1. User enters a phrase.
2. The text is converted to lowercase.
3. Punctuation and extra spaces are removed.
4. The last words are matched against the trained n-gram model.
5. The most frequent matching next word is returned.
6. If no match exists, a default response is displayed.

The trained model is stored in model.rds, enabling fast predictions without retraining.

How to Use

1. Open the Shiny application.
2. Type a phrase into the text box.
3. Click Predict.
4. The application displays the predicted next word.

Example

Input:

How are

Prediction:

you

The interface is simple, responsive, and designed for quick experimentation.

Experience

The application provides:

• Fast response time
• Clean and intuitive interface
• Easy-to-understand predictions
• Minimal loading time
• Interactive user experience

The lightweight design makes it suitable for demonstrating natural language prediction techniques.

Summary

This project demonstrates:

• An efficient n-gram language model
• A fully deployed Shiny application
• Real-time next-word prediction
• Practical application of Natural Language Processing in R

Future improvements could include:

• Backoff models
• Smoothing techniques
• Larger training datasets
• Multiple prediction suggestions

Thank you!