Analyzing the Concept of 'One Nation, One Law' in India: A Machine Learning Approach to Legal Texts and Public Opinion

Abstract

 One Nation, One Law has been the subject of heated controversy in political India's and legal spheres, with many questioning whether or not the country needs a set of universal civil laws that would apply regardless of a person's religion, region, or culture. To examine judicial rulings, public discourse, and legal texts pertaining to the Uniform Civil Code (UCC) and associated reforms, this chapter uses a unique multidisciplinary approach that incorporates ML techniques. The research shows that public mood is changing, that there are repeating themes, and that there are geographical differences in opinion by using topic modelling, sentiment analysis, Natural Language Processing (NLP), and datasets that include social media content and legal documents. The results point to a complicated interaction between modern pluralistic identities, political narratives, and constitutional duties. The internet conversation surrounding One Nation, One Law and its perceived ramifications on social justice, secularism, and national integration yield fresh insights as they apply ML.