TextMining-ScrapCleanSummarize

This repository contains code for scraping, cleaning, and summarizing text data from websites. It provides a comprehensive process for extracting valuable information from online sources and condensing it into summarized text.

Table of Contents

• Installation
• Usage
• Documentation
• License

Installation

To use this code, follow these steps:

1. Clone this repository:

   git clone https://github.com/chaymabh/TextMining-ScrapCleanSummarize.git
   cd TextMining-ScrapCleanSummarize

2. Install the required dependencies:

   pip install -r requirements.txt

Usage

• Web Scraping: Use Data_collecter_and_cleaner.py to perform web scraping. This code leverages Beautiful Soup for automated data extraction.

• Text Summarization: Utilize Text_summarizer.py to generate concise summaries of text. It uses the NLTK library for this purpose.

• Customization: This code is designed for web scraping and text summarization but can be customized to suit your specific needs. Feel free to modify it for different websites and data sources.

License

This project is licensed under the MIT License. See the LICENSE file for details.