📊 YouTube Comment Sentiment Analyzer

This Python-based web app performs sentiment analysis on YouTube video comments using natural language processing. It classifies comments into Positive, Negative, or Neutral and visualizes the results in a bar chart.

The project fetches comments using the YouTube Data API, processes them with sentiment analysis (using VaderSentiment), and renders a clean graph in a Flask-powered web interface.

🧠 Features

• 🔍 Fetches real YouTube video comments using API
• 📊 Analyzes sentiment (Positive, Negative, Neutral)
• 📈 Displays the result in a matplotlib bar chart
• 💻 Web app built using Flask

📸 Snapshot

 

🔁 Steps to Replicate

1. Create your API key for YouTube from: https://developers.google.com
2. Download and install Conda: https://docs.conda.io
3. Create a virtual environment and install required packages:

   conda create -n yt-sentiment python=3.9
   conda activate yt-sentiment
   pip install flask google-api-python-client emoji vaderSentiment matplotlib

4. Run the app:

   python app.py

5. Open http://127.0.0.1:5000 in your browser to use the application.

📂 Project Structure

youtube-sentiment-analyzer/
├── app.py
├── templates/
│   └── index.html
├── static/
│   └── style.css (optional)
└── README.html

🧪 Technologies Used

• Python
• Flask
• Google API Client
• VaderSentiment
• Matplotlib
• HTML/CSS (Frontend)

🙌 Credits

Built by Sonika
APIs powered by Google YouTube Data API

View the running project here : https://www.linkedin.com/posts/ssonikaa_datascience-python-flask-activity-7197236724547166208-SAlz?utm_source=share&utm_medium=member_desktop