📊 YouTube Comment Analysis & Spam Detection 🛡️ Welcome to the YouTube Comment Analysis & Spam Detection project! This repository contains tools and scripts for analyzing YouTube comments, detecting spam, and generating summaries of YouTube videos using Natural Language Processing (NLP) techniques.

📝 Table of Contents Introduction Features Installation Usage Project Structure Datasets Technologies Used Results Contributing License 🚀 Introduction This project aims to provide insights into YouTube comments by analyzing user interactions, identifying spam, and summarizing the content of YouTube videos. Leveraging NLP techniques, we strive to create an efficient and user-friendly tool for content creators and researchers.

🌟 Features Spam Detection: Identify and filter out spam comments from YouTube videos. Sentiment Analysis: Gauge the overall sentiment of comments (positive, negative, neutral). Summarization: Generate concise summaries of YouTube videos based on their content. Visualizations: Graphical representation of comment statistics and analysis results. Interactive Dashboard: User-friendly interface for exploring the results. 🛠️ Installation To run this project locally, follow these steps:

🤝 Contributing Contributions are welcome! If you'd like to contribute, please fork the repository and create a pull request. For major changes, please open an issue first to discuss what you would like to change.

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