Paper Contents
Abstract
The intricate interplay of politics, economics, and governance forms the backbone of policy-making in India. This paper explores how computational methods can provide novel insights into the political economy of policy-making in the country. By employing data-driven techniques such as natural language processing (NLP), machine learning, and network analysis, researchers and policymakers can decode complex patterns, assess policy impacts, and understand stakeholder dynamics. This study highlights the potential and challenges of integrating computational approaches into the analysis of Indias policy-making processes, offering a roadmap for future research.Key words: NLP, Machine learning. network analysis, data driven techniques, policy impacts
Copyright
Copyright © 2024 HEMENDRA KUMAR. This is an open access article distributed under the Creative Commons Attribution License.
