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UNSTRUCTURED DATA

Document Data

Full document NLP pipeline in-browser: readability scores, TF-IDF keywords, per-sentence sentiment arcs, named entity extraction, co-occurrence topic clusters, and extractive summarization.

NLPSentimentNERSummary
OPEN INTERACTIVE LAB ↗

What you'll explore

  • Document analysis
  • Text nlp
  • Readability score
  • Named entity recognition
  • Text summarization
  • Document analytics

About this lab

Full document NLP pipeline in-browser: readability scores, TF-IDF keywords, per-sentence sentiment arcs, named entity extraction, co-occurrence topic clusters, and extractive summarization. This simulation runs entirely in your browser — no installation, no account required, no data uploaded.

Part of the Unstructured Data Labs track — 4 labs covering the full curriculum.

PLATFORM FEATURES
Runs 100% in browser — no server, no installs
Adjustable parameters with real-time output
Privacy-first: zero data collection or uploads
Blockchain-verifiable experiment logs on Polygon
Free to use — open to everyone