Comment_IQ

🚀 CommentIQ — AI Powered YouTube Comment Analysis Dashboard

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📌 Overview

CommentIQ is an AI-powered YouTube Comment Analysis Dashboard that helps analyze audience reactions and engagement using sentiment analysis and NLP techniques.

The project fetches live YouTube comments using the YouTube Data API, processes them locally, and visualizes insights through an interactive futuristic dashboard.

It classifies comments into:

• ✅ Positive
• ❌ Negative
• ⚪ Neutral

along with:

• 📊 Interactive Charts
• 🧠 Theme Detection
• ☁️ Keyword Intelligence
• 📈 Engagement Timeline
• 📥 Excel Export

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🖥️ Dashboard Preview

Main Interface

![Dashboard Screenshot](assets/dashboard.png)

Demo GIF

![CommentIQ Demo](assets/demo.gif)

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✨ Features

• 🔴 Real-Time YouTube Comment Fetching
• 🧠 NLP-based Sentiment Analysis
• 📊 Interactive Analytics Dashboard
• 📈 Comment Engagement Timeline
• ☁️ Keyword Frequency Cloud
• 🎭 Theme Detection
• 📥 Export Data to Excel
• 🌌 Futuristic Cyberpunk UI
• 📱 Responsive Design

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🛠️ Tech Stack

Technology	Usage
HTML5	Structure
CSS3	Styling
JavaScript	Logic
Chart.js	Data Visualization
XLSX.js	Excel Export
YouTube Data API	Fetching Comments

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⚙️ Installation

1️⃣ Clone Repository

git clone https://github.com/your-username/commentiq.git

2️⃣ Open Project Folder

cd commentiq

3️⃣ Run Project

Simply open:

index.html

in your browser.

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🔑 YouTube API Setup

1. Go to Google Cloud Console

2. Create a project

3. Enable:

   • YouTube Data API v3

4. Generate API Key

5. Paste API Key into dashboard

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📊 How It Works

1. Paste YouTube Video URL

2. Enter API Key

3. Select Comment Limit

4. Start Analysis

5. View:

   • Sentiment Results
   • Charts
   • Themes
   • Keyword Insights
   • Exportable Reports

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🧠 Sentiment Logic

The project uses local NLP-style word matching logic for:

• Positive Words
• Negative Words
• Theme Classification

Future versions may integrate:

• Gemini API
• OpenAI API
• HuggingFace Transformers

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📁 Project Structure

commentiq/
│
├── index.html
├── assets/
│   ├── dashboard.png
│   └── demo.gif
│
├── README.md
└── LICENSE

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🚀 Future Improvements

• 🤖 AI-based Advanced Sentiment Analysis
• 🌍 Multi-language Support
• 🔐 User Authentication
• ☁️ Database Integration
• 📡 Live Comment Streaming
• 📱 Mobile App Version

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📷 Screenshots

![Analytics](assets/analytics.png)

![Charts](assets/charts.png)

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⭐ Support

If you like this project:

• ⭐ Star this repository
• 🍴 Fork it
• 🛠️ Contribute improvements

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👨‍💻 Author

Kishan

Computer Science Student & Data Science Enthusiast

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📜 License

This project is licensed under the MIT License.

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🔥 Project Status

✅ Active Development 🚀 Open for Improvements 💡 Learning + Portfolio Project