2026-08-12

Introduction & Objective

  • Text Prediction App predicts the next word from a given phrase.
  • It helps users complete text quickly.
  • The application is developed using R.
  • Objective: provide simple and useful next-word predictions.

Data Processing & Prediction Algorithm

  • Text data is cleaned and converted into words.
  • Unwanted punctuation and characters are removed.
  • Word sequences such as n-grams are created.
  • The model uses word patterns and frequency to predict the next word.

Application Workflow

  • User enters a phrase.

  • The application processes the input text.

  • Matching word patterns are identified.

  • The most probable next word is selected.

  • The prediction is displayed to the user.

  • Input: “I want to”

  • Possible prediction: “go”

  • The app provides a likely next word based on learned patterns.

  • This can reduce typing effort and improve text completion.

Conclusion

  • The project demonstrates Natural Language Processing using R.
  • It combines text processing with a prediction algorithm.
  • The application provides simple next-word suggestions.
  • Future improvements can include larger datasets and advanced language models.