The Next Word Predictor is a Natural Language Processing (NLP) based application that predicts the most likely next word in a sentence. This system mimics the predictive typing features seen in modern applications like mobile keyboards and search engines.
04-04-2026
🌟 Project Overview
It is developed using R and Shiny, allowing users to interact with the system through a simple web interface and receive instant predictions.
🎯 Objective
The primary goal of this project is to design a predictive model using n-gram techniques. The system analyzes sequences of words and determines the most probable next word.
This helps in understanding how machines process language and provide intelligent suggestions in real time.
⚙️ Methodology
The project uses a structured approach where textual data is first cleaned and processed. The words are then divided into sequences known as n-grams.
Using these n-grams, the model calculates probabilities and selects the word that is most likely to appear next based on past data.
🔄 Working of the Application
The user enters a phrase into the application interface. The system extracts the last word or words and compares them with stored patterns.
Based on frequency and probability, the model predicts the next word and displays it instantly.
⭐ Features
- Simple and interactive interface
- Real-time prediction
- Fast processing speed
Easy to use for beginners
🧪 Example
Prediction: to
Input: This is a
Prediction: good
📊 Word Frequency Graph
