This research presents a new text analysis system powered by AI which operationalizes the theoretical frameworks of which fuses Edward Said’s Beginnings and Edward Soja’s Thirdspace Resistance to study Palestinian memory under resistance literature. A Fine-tuned Zero-Shot Transformer-based language model is employed to classify excerpts from the text into three categories: Rooting, Routing (spatial acts of everyday resistance), and other frameworks. also, the study builds an application that allows a user to insert a text for an analysis that scores the results and explains them with a basic analysis. Several excerpts selected for validation in line with the proposed framework. Inter-annotator reliability measures and standard multi-label classification metrics precision, recall, and F1-score have all been included as quantitative evaluation methods. Results achieved demonstrates that the model distinguishes between excerpts that root Palestinian identity and those which reroute spatial resistance. Contributing as a novel framework which integrates literary theory and NLP, this framework offers a replicable analysis system which serves digital humanities, postcolonial literature, memory studies and cultural studies. The Rooting & Rerouting AI Analyzer illustrates the adaptation of transformer-based models that assist with the interpretation of theoretical paradigms despite their complexity.
Abuhaija et al. (Thu,) studied this question.