A newer version of the Gradio SDK is available:
5.45.0
metadata
title: Youtube Comment Analyzer
emoji: π
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
π 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.
π₯ Demo Video
Watch our MCP Server in action
π‘ The Problem
YouTube comments contain massive untapped intelligence:
- π€ Sarcasm/Irony: "Great video... really helpful π" β Actually negative
- π Hidden Needs: "Do this for beginners too" β Content opportunity
- π― Improvement Requests: "Audio could be better" β Technical feedback
- π Current tools only count likes β Miss the actual insights
π Our LLM Solution
π§ 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
π 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
π οΈ Tech Stack
Comments β LLM Analysis β Sarcasm Detection β Business Intelligence
- AI: LLM custom prompts
- Visualization: Matplotlib, Plotly
- Interface: Gradio with MCP Server integration
- Performance: Real-time processing
π 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" |
π― 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
π₯ Contributors
- Su Il Lee
- HanJun Jung