Translating Margins: Digital Humanities, Complex Hierarchy, Text Mining and Thematic Innovation in Baburao Bagul's Corpus

Present research paper applies digital‑humanities methods to Baburao Bagul’s Marathi corpus to surface, map and theorize the thematic innovations through which his writing articulates marginality. Combining corpus building (critical editions, OCR correction of Devanagari texts, metadata tagging by year, genre and publication venue) with computational analysis, the study will deploy topic modeling word‑embedding techniques (fastText/BERT multilingual), sentiment and emotion analysis adapted for Marathi, and narrative network analysis of characters, locations and institutions. Temporal and comparative analyses will track how themes such as caste, migration, labour precarity, urban informality and gender recur, shift or coalesce across Bagul’s short stories, essays and longer works. The study intends to highlights on the significance of Bagul and his literary segmentation by applieng above thematic analysis.