Financial distress prediction with annual reports-based deep textual feature extraction: A hybrid approachJiaming Liu, Ming Quan Jia2024-08-09articleInformation Sciences31 citationsclosedNo readable copy stored yet — this record is metadata only.Financial Distress and Bankruptcy PredictionTopic ModelingStock Market Forecasting MethodsAbstractNo abstract was published for this record.Citations in this libraryStored only when both papers are in the corpus — 31 citations exist upstream.References1997A Survey of Corporate Governance1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY2011When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks2018Deep learning models for bankruptcy prediction using textual disclosures2010Making words work: Using financial text as a predictor of financial events2017Financial distress prediction: The case of French small and medium-sized firms2021Multi-class financial distress prediction based on support vector machines integrated with the decomposition and fusion methods2020Combining corporate governance indicators with stacking ensembles for financial distress prediction