Text Summarization System using Advanced NLP Techniques

This project involves creating a text summarization system that leverages advanced Natural Language Processing (NLP) techniques to automatically generate concise summaries of large text documents, preserving the key information and main ideas.

Features

• Generates summaries from long text documents or articles.
• Uses advanced NLP models to understand and extract key information.
• Provides both extractive and abstractive summarization techniques.
• User-friendly interface for inputting text and displaying summaries.

Installation

To set up the text summarization system on your local machine, follow these steps:

1. Clone the Repository

   git clone https://github.com/username/text-summarization.git
   cd text-summarization

2. Set Up Virtual Environment (Optional but Recommended)

   python3 -m venv venv
   source venv/bin/activate   # On Windows: venv\Scripts\activate

3. Install Required Packages

   pip install -r requirements.txt

Usage

To start the text summarization system, run the main script and provide the input text file:

python text_summarization.py --input