ml-mrsdalloway-intertextuality

This repository contains the analysis scripts for a machine learning–enhanced computational study of narrative intertextuality between Clarissa Dalloway and Septimus Warren Smith in Virginia Woolf’s Mrs Dalloway. The framework integrates NLP tools such as spaCy, Gensim, Sentence-BERT, UMAP, HDBSCAN, and the NRC VAD Lexicon to quantify thematic structures, emotional profiles, and semantic spaces, revealing patterns in psychological resonance and modernist narrative technique. It includes scripts for text preprocessing, LDA topic modeling, topic alignment, VAD emotional analysis, and semantic space visualization, ensuring full methodological transparency and reproducibility. This repository accompanies the paper: “Machine Learning Study of Narrative Intertextuality: Integrated Analysis of Thematic, Emotional, and Semantic Dimensions in Mrs Dalloway.”