Automatic detection of relevant information, predictions and forecasts in financial news through topic modelling with Latent Dirichlet Allocation

arXiv:2404.01338v1 Announce Type: cross
Abstract: Financial news items are unstructured sources of information that can be mined to extract knowledge for market screening applications. Manual extraction of relevant information from the continuous stream of finance-related news is cumbersome and beyond the skills of many investors, who, at most, can follow a few sources and authors. Accordingly, we focus on the analysis of financial news to identify relevant text and, within that text, forecasts and predictions. We propose a novel Natural …

abstract applications arxiv beyond continuous cs.ce cs.cl cs.ir cs.lg detection extract extraction finance financial information knowledge market modelling predictions q-fin.st screening skills through type unstructured