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Sven Geboers f94edc3d04 feat(right-wing): sentiment analysis pipeline for right-wing motions ... Implements U5: sentiment_analysis.py uses LLM batch calls (fallback when no local Dutch sentiment model is available) to score motion sentiment on [-1, 1] scale. Design: - Prompt asks for sentiment from -1 (hostile/aggressive) to 1 (constructive) - JSON schema enforces numeric score + Dutch explanation - Batch size 10, max_workers 5 for parallel API calls - Stores results in table - Updates with avg_sentiment, sentiment_std, pct_strongly_negative per year Sample validation (50 motions): good variance across [-0.9, 1.0] range.		1 month ago
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classify_motions.py	feat(right-wing): hybrid motion classifier using keywords + votes	1 month ago
derive_keywords.py	feat(right-wing): derive right-wing keywords via differential TF-IDF	1 month ago
extremity_scorer.py	feat(right-wing): LLM-based policy extremity scoring	1 month ago
right_wing_keywords.json	feat(right-wing): derive right-wing keywords via differential TF-IDF	1 month ago
sentiment_analysis.py	feat(right-wing): sentiment analysis pipeline for right-wing motions	1 month ago
temporal_analysis.py	feat(right-wing): temporal aggregation of right-wing motion trends	1 month ago