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v0.7.0 — AI Detection 2.0, C2PA Watermarks, Streaming

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@ksanyok ksanyok released this 19 Feb 20:32
v0.7.0
a551cdf

Added

  • 13 AI-detection metrics — new perplexity_score metric (character-level trigram model)
  • Ensemble boosting — 3-classifier aggregation: base weighted sum (50%), strong-signal detector (30%), majority voting (20%). 90.9% accuracy
  • Benchmark suite — 11 labeled samples, per-label accuracy breakdown
  • CLI detect subcommand — texthumanize detect [file] with emoji verdicts
  • Streaming progress callback — humanize_batch(texts, on_progress=callback)
  • C2PA / IPTC watermark detection — content provenance pattern detection
  • Tone replacements for UK/DE/FR/ES — informal ↔ formal replacement pairs
  • PHP examples/ — basic_usage.php & advanced.php

Changed

  • Zipf metric rewritten — log-log linear regression with R² goodness-of-fit
  • Confidence formula — 4-component with text length, metric agreement, extreme bonus
  • Grammar detection expanded — 5 → 9 indicators

Full Changelog: https://github.com/ksanyok/TextHumanize/blob/main/CHANGELOG.md

Install

pip install git+https://github.com/ksanyok/TextHumanize.git@v0.7.0
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