🎯 Your Mission
You're a data scientist at Amazon building a review sentiment classifier. 20 real-style product reviews will appear one at a time — classify each by its true sentiment. Watch out for sarcasm, wordplay, and mixed feelings that trip up even the best algorithms!
📖
Read the Review
Check the text, stars, and product context
🎯
Pick the Sentiment
Positive, Negative, Mixed, or Sarcastic
✅
Get Feedback
Learn why each answer is correct
🏆
Beat the Algorithm
Can you top 85% accuracy?
Sentiment categories:
👍 Positive
👎 Negative
🔀 Mixed
😏 Sarcastic
🏆 Case Closed!
0
points
📋 Review-by-Review Breakdown
🎓 Skills You Just Practiced
- Sentiment Analysis: Classifying text as positive, negative, mixed, or sarcastic
- Sarcasm Detection: Recognizing when tone contradicts literal meaning
- Context Awareness: Using stars, product type, and phrasing together
- Edge Case Thinking: Handling negations, wordplay, and mixed signals