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Deep Learning for Director Profiling by Tripti Jha is a document available to read on EtoBox.

What is Deep Learning for Director Profiling about?

This study explores the interpretability of deep learning models applied to the analysis of Spanish financial text, specifically focusing on the biographies of independent directors. A six-dimensional labeled dataset was created, and three recurrent deep learning models were developed, achieving a mean error of 8% in modeling these biographies. The research demonstrates the potential of deep learning in generating valuable insights in corporate governance while emphasizing the importance of explainability i

Author

Tripti Jha

Language

EN