E-2F-211

Text Summarization Project

This project aims to build a text summarization system that can generate concise summaries of long articles or documents using machine learning techniques.

Table of Contents

• Introduction
• Features
• Installation
• Usage
• Technologies Used

Introduction

Text summarization is the process of reducing a long piece of text to a shorter, coherent version while retaining its most important information. This project leverages machine learning to automate this process, making it useful for various applications like content curation, news aggregation, and more.

Features

• Input a long text or document.
• Get a concise summary of the input.
• Customize the length and style of the summary.
• Utilizes advanced natural language processing techniques.

Installation

To set up the project, follow these steps:

1. Install the required dependencies.

2. Start the Flask web application.

python app.py

3. Access the application through your web browser at http://localhost:5000.

Usage

1. Visit the web application at http://localhost:5000.
2. Enter the text or document you want to summarize in the input box.
3. Adjust any settings or preferences for the summary.
4. Click the "Generate Summary" button.
5. The summarized text will be displayed on the right side of the page.

Technologies Used

• Python
• Flask (Web Framework)
• NLTK (Natural Language Toolkit)
• HTML/CSS for the user interface