e6ecbfa2a6a2d98b7addc704da4e07aabd819f6d
- MultiSourceFusion: cross-source intelligence per spec Section 6.4-6.6 * 8 source clusters (crypto_native, tradfi, exchange_ann, regulatory, social_twitter, social_reddit, corporate, web_crawl) * NUM_SOURCES factor: 1=1.0x, 2=1.5x, 3=2.0x, 4+=2.5x + cross-cluster bonus (+0.25x/cluster) * Cross-cluster confirmation bonus (+20% event strength) * Source credibility: base × recency decay (3-day half-life) × author trust - DetailFactorDetector: enhanced per spec Section 6.1 * Regex patterns for dates, amounts, contract addresses, named individuals, technical terms, official URLs - Bot Detection per Section 6.6: * Echo chamber detection (content replication across ≥3 sources) * Coordinated manipulation detection (≥5 similar posts simultaneously) * Bot pattern detection: template language, excessive emoji, capitalization - VelocityComputer: EMA smoothing (α=0.3 per spec) * hype_velocity: log-derivative of attention-weighted mentions * pub_velocity: log-derivative of publication count * EMA smoothing with α=0.3 per spec - All 46 core NLP tests pass
Description
Sentiment analysis engine with ONNX FinBERT + LoRA adapters
Languages
Python
99.9%
Dockerfile
0.1%