refactor: unified weighted lexicon + centroid layer

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- CryptoSentimentCalibrator: 2,086-term weighted lexicon (-100 to +100)
  * Priority-based span matching (longest-first, no double-count)
  * Whale phrases ±50, compounds ±30, dot-separated ±20, singles ±10-25
- Calibration logic: lexicon wins on disagreement, amplifies on agreement
- CentroidManager: 6 params × 1024-dim built from lexicon via e5-large-v2
- ScoringEngine._refine_with_centroids: fixed attribute access bug
- config/centroids/*.npy: padded to 1024-dim (e5-large-v2 output)
- lexicon_weights.json: generated unified lexicon
- Unit tests: 46/46 core NLP tests pass
- Labeling pipeline: 22 samples processed
- All 19 critical crypto semantic tests + 6 calibration scenarios pass

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2026-09-17 21:17:47 +02:00

parent f144c3c324

commit f883d5851f

11 changed files with 3272 additions and 222 deletions

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