YouTube Sentiment Analysis 👍👎😊

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.

Features ✨

• Extracts the video ID from a YouTube link.

• Retrieves comments from the specified YouTube video and saves them to a CSV file. 💬📑
• Accepts existing comment CSVs with Comment, comments, or Xquik-style text columns.
• 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. 🌐✨

Installation 🛠️

• Clone the repository:

• Install the required dependencies:

• Obtain a YouTube Data API key from the Google Cloud Console and replace YOURAPI_KEY in YoutubeCommentScrapper.py with your actual API key.

• Run the application:

Usage 🚀

• Open the application in your web browser.

• Enter a valid YouTube link in the sidebar. 🔗

• Or upload an existing CSV with a Comment, comments, or text column.

• Wait for the application to retrieve or load comments, perform sentiment analysis, and display the results. ⌛

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

Contributing 🤝

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

License 📄

This project is licensed under the MIT License.