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Sven Geboers
d3dfb0ce2f
feat(right-wing): hybrid motion classifier using keywords + votes
Implements U2: classify_motions.py loads keywords from U1 and classifies
motions as right-wing when:
- right_support >= 60% (CANONICAL_RIGHT parties voting 'voor')
- left_opposition >= 40% (CANONICAL_LEFT parties voting 'tegen')
- AND at least 1 right-wing keyword match in title/body_text
Outputs DuckDB table with:
- motion_id, year, title, right_support, left_opposition, centrist_support
- right_keyword_matches, left_keyword_matches, classified flag
Classified 2986 of 28331 motions (10.5%) as right-wing.
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1 month ago |
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right_wing
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feat(right-wing): hybrid motion classifier using keywords + votes
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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 |
