5ea9a09a89c789feac5a1048dbebc7738ddb32a1
- 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
Description
Sentiment analysis engine with ONNX FinBERT + LoRA adapters
Languages
Python
99.9%
Dockerfile
0.1%