ec217b968ea2513e081933242ee591ab0bff8077
- 68 regex patterns across 6 parameters (fear_state: 21, greed_state: 19, hype_velocity: 5, pub_velocity: 4, pump_score: 8, dump_score: 11) - Each pattern has weight (0.8-1.4) for importance scoring - Patterns cover direct terms, market vernacular, event triggers, technical indicators, on-chain signals, macro, social signals - Pre-compiled for efficiency with score_text_with_patterns() function - score_text_with_patterns(text, param) returns weighted match score - All 46 core NLP tests pass
Description
Sentiment analysis engine with ONNX FinBERT + LoRA adapters
Languages
Python
99.9%
Dockerfile
0.1%