Paste a support transcript and explore a production-style analysis dashboard. Under the hood, this demo uses rule-based NLP (tokenization, keywords, heuristics) to simulate what a GenAI pipeline might surface—no live API calls.
Transcript input
Batch mode (all samples)
Running NLP pipeline
Tokenizing & classifying…
Analysis dashboard
Batch analysis
Scenario
Category
Sentiment
Emotion
Resolution
Priority
Category distribution
Sentiment distribution
Trending topics & volume
Word cloud from combined sample transcripts (frequency-weighted). Issue volume below uses simulated weekly aggregates for illustration.
Simulated issue volume (12 weeks)
How it works
This demo mirrors a typical text analytics stack: lightweight preprocessing, lexical signals, and templated generation—the same stages often wrapped by an LLM in production.
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Tokenization
Lowercase, split on boundaries, drop noise tokens.
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Keywords
Score topical n-grams; surface key phrases as tags.