Codex 5ea9a09a89 feat: enhanced credibility scoring per spec Section 4.6
- CredibilityScorer: composite score with weighted components (source_base 30%, content_quality 25%, engagement_authenticity 20%, cross_source 15%, historical 10%)
- score_source: base credibility from registry
- score_content_quality: length, structure, metadata quality heuristics
- score_engagement_authenticity: bot detection via engagement ratios (like/view, retweet/view, reply/view rates)
- score_cross_source_corroboration: clustering by content similarity (Jaccard n-grams), unique source count in consensus cluster
- _content_hash: MD5 normalization for deduplication
- _text_similarity: Jaccard similarity on word trigrams
- _cluster_by_similarity: clusters items by similarity to query text
- All 46 core NLP tests pass
2026-09-18 02:35:30 +02:00
Description
Sentiment analysis engine with ONNX FinBERT + LoRA adapters
7.8 MiB
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Python 99.9%
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