 Sven Geboers
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d3dfb0ce2f
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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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2 months ago |
