Data-Driven Initialization for Topic Modeling of Financial Reports: Evidence from Borsa Istanbul Using MATLAB
This study analyzes annual reports of firms listed on Borsa Istanbul (BIST) for the period from 1990 to 2026, and demonstrates that data-driven initia’sation significantly improves topi’sc interpretability, reduces optimization iterations, decreases model uncertainty, and en’hances reproducibility compared with tr...