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AI-Powered Customer Sentiment Analyzer (25AI134)
The AI-Powered Customer Sentiment Analyzer evaluates text product reviews to categorize public reaction scores into positive, negative, or neutral metrics.
Why Build This System?
- Tracks public product feedback loops
- Identifies unhappy consumer complaints early
Key Features
- Text emotion polarity analysis
- Automated review sorting arrays
System Basics
Text strings are stripped of punctuation, analyzed for emotional modifiers, and rated on a scale of -1 to +1 to evaluate customer satisfaction.
Code Snippet:
# Review text evaluation snippet
rev = "Bad quality item, disappointed"
print("Is Negative:", "bad" in rev or "disappointed" in rev)Learning Outcomes:
- Understand basic text mining techniques
- Build real marketplace analytics platforms