Semantic analysis allows machine learning algorithms to understand and process the meaning behind the data. This understanding is critical for tasks such as natural language processing, sentiment analysis, and contextual interpretation, where the significance of data goes beyond surface-level information. Semantic analysis enabled by typing enhances the ability of machine learning models to interpret nuanced data, leading to more sophisticated and accurate analyses and predictions.