This project provides a web application for sentiment analysis of YouTube comments. It allows users to input a YouTube link and analyzes the sentiment of the comments associated with that video. The application also displays video information, channel information, and visualizations of the sentiment analysis results.

• Extracts the video ID from a YouTube link.
• Retrieves comments from the specified YouTube video and saves them to a CSV file. 💬📑
• Performs sentiment analysis on the comments using the VADER (Valence Aware Dictionary and sEntiment Reasoner) sentiment analysis tool. 😃😠😐
• Generates bar charts and scatter plots to visualize the sentiment analysis results. 📊📈
• Retrieves video and channel information from the YouTube API. 📺🔍
• Provides an interactive web interface using Streamlit. 🌐✨

1. Clone the repository:

2. Install the required dependencies:

3. Obtain a YouTube Data API key from the Google Cloud Console and replace YOUR_API_KEY in app.py with your actual API key.

4. Run the application:

1. Open the application in your web browser.

2. Enter a valid YouTube link in the sidebar. 🔗

3. Wait for the application to retrieve the video and channel information, save the comments to a CSV file, perform sentiment analysis, and display the results. ⌛

4. Explore the sentiment analysis results, video information, and channel information. 📈📺

Contributions are welcome! If you find any issues or have suggestions for improvements, please open an issue or submit a pull request.

This project is licensed under the MIT License.