---
title: Youtube Comment Analyzer
emoji: 🐠
colorFrom: green
colorTo: blue
sdk: gradio
sdk_version: 5.33.0
app_file: app.py
pinned: false
license: apache-2.0
short_description: Strategic YouTube insights from comment analysis
tags:
  - agent-demo-track
  - youtube
  - sentiment-analysis
  - ai-agents
  - mcp
---

# 🏆 YouTube Analyzer Pro

> YouTube Analyzer Pro revolutionizes content analysis through **MCP (Model Context Protocol) Server** integration with AI-powered sentiment analysis and real-time comment processing.

## 🎥 Demo Video

[**Watch our MCP Server in action**](https://drive.google.com/file/d/1zWnphL-UtVhQP7FpDbUucF_TtIJ4n91S/view)

## 💡 The Problem

**YouTube comments contain massive untapped intelligence:**
- 😤 **Sarcasm/Irony**: "Great video... really helpful 🙄" → Actually negative
- 💭 **Hidden Needs**: "Do this for beginners too" → Content opportunity
- 🎯 **Improvement Requests**: "Audio could be better" → Technical feedback
- 📊 **Current tools only count likes** → Miss the actual insights

## 🚀 Our LLM Solution

### 🧠 Advanced Analysis
- **Sarcasm Detection**: Identifies irony and sarcasm patterns
- **Emotion Classification**: Multiple emotion types with confidence levels
- **Need Extraction**: What viewers actually want/request
- **Cultural Context**: Multi-language sentiment understanding
- **Reasoning Analysis**: Why viewers feel this way - context behind emotions and sentiment


### 📊 Key Features
- **Single Video Analysis**: Deep dive into comments with sentiment scoring
- **Channel Intelligence**: Videos vs Shorts specialized analysis
- **Visual Dashboards**: Professional charts showing hidden patterns
- **Strategic Insights**: Why viewers feel this way - context behind emotions and sentiment

## 🛠️ Tech Stack

```
Comments → LLM Analysis → Sarcasm Detection → Business Intelligence
```

- **AI**: LLM custom prompts
- **Visualization**: Matplotlib, Plotly
- **Interface**: Gradio with MCP Server integration
- **Performance**: Real-time processing

## 📊 Results vs Traditional Tools

| Traditional | Our LLM Analysis |
|------------|------------------|
| "Positive comments" | "Genuine positive vs sarcastic complaints" |
| "High engagement" | "Specific audience requests identified" |
| "Good reception" | "Content format preferences detected" |

## 🎯 Business Impact

- **Advanced Intelligence**: Sarcasm and sentiment detection beyond basic metrics
- **Actionable Insights**: Per video analysis with specific recommendations
- **Strategic Value**: Comment-driven content optimization
- **Real Understanding**: What audiences actually think and want

## 👥 Contributors

- **Su Il Lee**
- **HanJun Jung**

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### 🏆 Agents-MCP-Hackathon
**YouTube Analyzer Pro**

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