A three-component ensemble of lexicon scoring, adaptive TF-IDF price-reaction clusters, and historical-correlation weighting generates real-time market sentiment from news-price pairs on CPU hardware.
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Hybrid News Sentiment Engine: Real-Time Market Analysis via Adaptive Ensemble Learning on News-Price Pairs
A three-component ensemble of lexicon scoring, adaptive TF-IDF price-reaction clusters, and historical-correlation weighting generates real-time market sentiment from news-price pairs on CPU hardware.