Next Word Prediction

Next Word Prediction is a project that predicts the next word in a sequence of text using LSTM-based neural networks. The project involves tokenizing input text, generating sequences, padding sequences, building and training an LSTM model, and finally, predicting the next word based on the trained model.

Table of Contents

• Introduction
• Technologies/Tools Used
• Description
• Installation
• Usage
• Contributing
• License

Introduction

Next Word Prediction is a project that predicts the next word in a sequence of text using LSTM-based neural networks.

Technologies/Tools Used

• TensorFlow
• Jupyter Notebook

Description

This project involves tokenizing input text, generating sequences, padding sequences, building and training an LSTM model, and finally, predicting the next word based on the trained model.

Installation

1. Ensure you have TensorFlow installed.

2. Clone the repository:

   git clone https://github.com/your_username/next-word-prediction.git

3. Open the Jupyter Notebook notebook.ipynb to view the code.

Usage

1. Run the Jupyter Notebook notebook.ipynb.
2. Follow the instructions in the notebook to preprocess data, build and train the model, and predict the next word in a sequence of text.

Contributing

Contributions are welcome! Please fork the repository and create a pull request with your proposed changes.

License

This project is licensed under the MIT License.