https://github.com/2003harsh/next-word-prediction-using-rnn-lstm-gru

The Next Word Predictor using LSTM is a project that builds a text prediction model using Long Short-Term Memory (LSTM) neural networks. It predicts the most likely next word in a given sequence, useful for text composition and natural language processing tasks. The project allows customizable training and includes an interactive script for testing
https://github.com/2003harsh/next-word-prediction-using-rnn-lstm-gru

lstm natural-language-processing next-word-prediction

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The Next Word Predictor using LSTM is a project that builds a text prediction model using Long Short-Term Memory (LSTM) neural networks. It predicts the most likely next word in a given sequence, useful for text composition and natural language processing tasks. The project allows customizable training and includes an interactive script for testing

• Host: GitHub
• URL: https://github.com/2003harsh/next-word-prediction-using-rnn-lstm-gru
• Owner: 2003HARSH
• Created: 2024-05-06T15:27:37.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-05-06T16:02:17.000Z (8 months ago)
• Last Synced: 2024-05-07T16:58:24.116Z (8 months ago)
• Topics: lstm, natural-language-processing, next-word-prediction
• Language: Jupyter Notebook
• Homepage: https://www.kaggle.com/code/harshgupta2003/next-word-predictor-using-lstm-rnn-gru
• Size: 58.6 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Next Word Predictor using LSTM

This repository contains code and resources for building a next word prediction model using Long Short-Term Memory (LSTM) neural networks. The project aims to create a predictive text system that suggests the most likely word to follow a given sequence of words. This type of technology has a wide range of applications, from text composition assistance to natural language interfaces.

## Features

- **LSTM-Based Model**: Utilizes an LSTM architecture to analyze sequences of words and predict the most likely next word.

- **Customizable Vocabulary**: Allows for training with different text corpora, enabling flexibility in application contexts.

- **Interactive Prediction**: Includes a script for interactive text prediction, allowing users to test the model with custom inputs.

## Getting Started

### Prerequisites

- Python 3.7+

- `tensorflow` and `numpy` libraries

### Code

For detailed code go here [https://www.kaggle.com/code/harshgupta2003/next-word-predictor-using-lstm-rnn-gru]

## Contributing

Contributions are welcome! If you'd like to contribute to the project, please fork the repository and submit a pull request. You can also report issues or suggest features via the GitHub issue tracker.

## Acknowledgments

Special thanks to the developers of TensorFlow for the LSTM framework and to the contributors who helped make this project possible.