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--- |
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title: Youtube Comment Analyzer |
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emoji: 🐠 |
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colorFrom: green |
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colorTo: blue |
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sdk: gradio |
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sdk_version: 5.33.0 |
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app_file: app.py |
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pinned: false |
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license: apache-2.0 |
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short_description: Strategic YouTube insights from comment analysis |
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tags: |
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- agent-demo-track |
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- youtube |
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- sentiment-analysis |
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- ai-agents |
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- mcp |
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--- |
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# 🏆 YouTube Analyzer Pro |
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> YouTube Analyzer Pro revolutionizes content analysis through **MCP (Model Context Protocol) Server** integration with AI-powered sentiment analysis and real-time comment processing. |
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## 🎥 Demo Video |
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[**Watch our MCP Server in action**](https://drive.google.com/file/d/1zWnphL-UtVhQP7FpDbUucF_TtIJ4n91S/view) |
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## 💡 The Problem |
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**YouTube comments contain massive untapped intelligence:** |
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- 😤 **Sarcasm/Irony**: "Great video... really helpful 🙄" → Actually negative |
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- 💭 **Hidden Needs**: "Do this for beginners too" → Content opportunity |
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- 🎯 **Improvement Requests**: "Audio could be better" → Technical feedback |
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- 📊 **Current tools only count likes** → Miss the actual insights |
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## 🚀 Our LLM Solution |
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### 🧠 Advanced Analysis |
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- **Sarcasm Detection**: Identifies irony and sarcasm patterns |
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- **Emotion Classification**: Multiple emotion types with confidence levels |
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- **Need Extraction**: What viewers actually want/request |
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- **Cultural Context**: Multi-language sentiment understanding |
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- **Reasoning Analysis**: Why viewers feel this way - context behind emotions and sentiment |
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### 📊 Key Features |
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- **Single Video Analysis**: Deep dive into comments with sentiment scoring |
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- **Channel Intelligence**: Videos vs Shorts specialized analysis |
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- **Visual Dashboards**: Professional charts showing hidden patterns |
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- **Strategic Insights**: Why viewers feel this way - context behind emotions and sentiment |
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## 🛠️ Tech Stack |
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``` |
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Comments → LLM Analysis → Sarcasm Detection → Business Intelligence |
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``` |
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- **AI**: LLM custom prompts |
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- **Visualization**: Matplotlib, Plotly |
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- **Interface**: Gradio with MCP Server integration |
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- **Performance**: Real-time processing |
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## 📊 Results vs Traditional Tools |
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| Traditional | Our LLM Analysis | |
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|------------|------------------| |
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| "Positive comments" | "Genuine positive vs sarcastic complaints" | |
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| "High engagement" | "Specific audience requests identified" | |
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| "Good reception" | "Content format preferences detected" | |
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## 🎯 Business Impact |
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- **Advanced Intelligence**: Sarcasm and sentiment detection beyond basic metrics |
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- **Actionable Insights**: Per video analysis with specific recommendations |
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- **Strategic Value**: Comment-driven content optimization |
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- **Real Understanding**: What audiences actually think and want |
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## 👥 Contributors |
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- **Su Il Lee** |
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- **HanJun Jung** |
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--- |
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<div align="center"> |
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### 🏆 Agents-MCP-Hackathon |
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**YouTube Analyzer Pro** |
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</div> |
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