https://github.com/subhan-liaqat/subsequent-word-prediction-using-lstm-in-natural-language-processing

https://github.com/subhan-liaqat/subsequent-word-prediction-using-lstm-in-natural-language-processing

keras nlp nltk tensorflow

Last synced: 10 days ago
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• Host: GitHub
• URL: https://github.com/subhan-liaqat/subsequent-word-prediction-using-lstm-in-natural-language-processing
• Owner: subhan-liaqat
• Created: 2024-11-09T13:49:49.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-11-09T14:34:46.000Z (3 months ago)
• Last Synced: 2024-11-20T19:13:21.867Z (2 months ago)
• Topics: keras, nlp, nltk, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 11.7 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Subsequent Word Prediction Using LSTM in Natural Language Processing

## Project Overview

This project implements a Long Short-Term Memory (LSTM) model to predict the subsequent word in a sequence of text, enhancing applications like text auto-completion and chatbots.

## Table of Contents

- [Installation](#installation)

- [Usage](#usage)

- [Dataset](#dataset)

- [Model Architecture](#model-architecture)

- [Results](#results)

- [Contributing](#contributing)

- [License](#license)

## Installation

To set up the project, clone the repository and install the required packages using the following commands:

```bash

git clone https://github.com/subhan-liaqat/Subsequent-Word-Prediction-Using-LSTM.git

cd Subsequent-Word-Prediction-Using-LSTM

pip install -r requirements.txt