
A novel three-layer stacked Machine Learning system to detect financial opportunities, i.e. positive user speculations and forecasts about stock market assets, in micro-blogging data with high precision.


coremsg

detecting-financial-opportunities-in-micro-blogging-data-using-a-stacked-classification-system


Detecting Financial Opportunities in Micro-blogging Data Using a Stacked Classification System


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A representation learning framework that captures diverse local and global properties of financial transactional data, and incorporates external context to further improve the quality of the representations.


universal-representations-for-financial-transactional-data-capturing-local-global-and-external-contexts


Universal Representations for Financial Transactional Data: Capturing Local, Global, and External Contexts



A novel method for missing data imputation using granular semantics and an AI-driven pipeline to accurately predict bankruptcy in large, high-dimensional, and imbalanced financial datasets.


efficient-missing-data-imputation-and-ai-driven-pipeline-for-accurate-bankruptcy-prediction


Efficient Missing Data Imputation and AI-Driven Pipeline for Accurate Bankruptcy Prediction
