๐ฎ Game Review Analysis System
Powered by GPT-4o-mini with Topic & Sentiment Intelligence
Ask questions about player feedback and compare results with/without metadata! โก Lightning fast API responses
Toggle to compare with/without metadata
๐ฌ Verification Methods:
Method 1: Direct A/B Comparison
- โ Enable "Use topic/sentiment in analysis"
- Ask a question and note the results
- โ Disable "Use topic/sentiment in analysis"
- Ask the same question again
- Compare: WITH metadata should show topic-specific insights
Method 2: Check Metadata Panel
- Look at the right panel showing topic/sentiment distribution
- Diverse topics = Your classification is working
- These labels are passed to GPT-4o-mini for analysis
Method 3: Topic-Focused Questions
- Try: "What issues are mentioned about performance?"
- Try: "What do players say about graphics?"
- With metadata: More focused, categorized results
๐ What the Model Sees:
- Without metadata:
Review 1: [raw text] - With metadata:
Review 1 [Topic: Gameplay, Sentiment: Positive]: [raw text]
The metadata provides context that helps GPT-4o-mini understand and categorize feedback better!
Examples
| ๐ฌ Ask a question about player reviews | ๐ Show metadata statistics | ๐ท๏ธ Use topic/sentiment in analysis |
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Model: GPT-4o-mini (OpenAI API)
Embeddings: all-MiniLM-L6-v2
Response time: ~2-5 seconds โก
Benefits: Faster, more consistent, no GPU needed