Semantic Code Understanding Assessment Framework

Create an advanced Python-based system that performs deep semantic analysis of code submissions, evaluating not just syntactic correctness but underlying problem-solving approaches. Utilize natural language processing and machine learning to extract abstract code comprehension metrics, comparing solution strategies across different programming paradigms. Develop a multi-dimensional scoring mechanism that assesses algorithmic thinking beyond traditional testing approaches.