Kavli Affiliate: Claudio Ricci | Summary:Sentiment signals derived from sparse news are commonly used in financial analysis and technology monitoring, yet transforming raw article-level observations into reliable temporal series remains a largely unsolved engineering problem. Rather than treating this as a classification challenge, we propose to frame it as a causal signal reconstruction problem: given […]
Continue.. Causal Reconstruction of Sentiment Signals from Sparse News Data