 Sven Geboers
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c6f8540671
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feat(right-wing): derive right-wing keywords via differential TF-IDF
Implements U1: derive_keywords.py uses party voting patterns to classify
motions as right-wing vs left-wing, then computes differential TF-IDF on
cleaned motion titles to surface policy terms distinctive to right-wing
motions.
Key design choices:
- Vote threshold: 60% of parties in group must vote 'voor'
- Text cleaning strips motion prefixes aggressively (handles multi-word
surnames, plural 'leden', t.v.v. parentheticals)
- Expanded Dutch stopword list filters procedural and generic noise
- Results written to analysis/right_wing/right_wing_keywords.json
Produces ~50 filtered terms including: asielzoekers, defensie, kernenergie,
boeren, vreemdelingenbeleid, stikstof, asielstop, strafrecht.
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2 months ago |
