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Sven Geboers
c6f8540671
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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1 month ago |
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right_wing
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feat(right-wing): derive right-wing keywords via differential TF-IDF
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1 month ago |
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tabs
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feat: agent-native refactor, SVD consistency fixes, UX cleanup, mobile support
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2 months ago |
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__init__.py
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feat(pipeline): add orchestrator CLI, analysis modules, and ActorFractie ingestion
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3 months ago |
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axis_classifier.py
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refactor: remove Stemgedrag cohesie section and fallback axis message
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3 months ago |
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clustering.py
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refactor: make duckdb imports optional in analysis modules
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2 months ago |
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config.py
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infra: fix CI, config, docker-compose, README, and pre-commit
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2 months ago |
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explorer_data.py
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feat: agent-native refactor, SVD consistency fixes, UX cleanup, mobile support
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2 months ago |
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political_axis.py
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Use aligned PCA scores for all SVD components 1-10
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2 months ago |
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projections.py
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refactor: extract data loading and trajectory logic from explorer.py
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3 months ago |
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svd_labels.py
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fix: resolve SVD axis label alignment and score mismatch in tijdtraject view
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2 months ago |
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trajectory.py
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refactor: make duckdb imports optional in analysis modules
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2 months ago |
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visualize.py
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feat: complete parliamentary embedding pipeline with full historical coverage
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3 months ago |
