The document discusses the application of topic modeling and machine learning techniques in literary analysis, primarily focusing on modernist texts. It outlines methods for preprocessing data, identifying thematic patterns, and clustering novels based on their topics. Additionally, it highlights the challenges of making these machine-generated topics interpretable for literary critique.