Isaiah’s Structure from Random Forest Regression Analysis

This is the first paper to analyze tripartite linguistic structure of Isaiah using Random Forest Regression, a supervised machine learning statistical approach.  By predicting occurrences ‘judgment’ and ‘hope’ verses, we examine threefold (section 1--chapters 1-39; section 2--chapters 40-55; 3--chapters 56-66) for differences in expression within between each section. We find more inter-sectional homogeneity sections 1 2 than 3 or 3, with respect both judgment hope word structures. Moreover, analysis judgment-vs-hope indicate that heterogeneity differs significantly from homogeneity, reinforcing hypothesis there indeed post-exilic authorship (Isaiah 56-66).