Overview
- Develops machine learning linkage models that offer policy recommendations
- Enables cross-disciplinary cooperation for developing applications to serve marginalized
- Uses machine learning techniques to analyze government speeches to evaluate policy effectiveness
Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 354)
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Keywords
- Budget Speech
- Machine Learning
- Natural Language Processing
- economic signals
- Poverty Alleviation
- Advanced Mathematical Models
- Climate Change
- Social Welfare
- food security policy
- India
About this book
This volume uses advanced machine learning techniques to analyze government communication to evaluate policy effectiveness. The book develops policy effectiveness foundation models by cohorting historical budget policies with statistical models which are built on well reputed data sources including economic events, macroeconomic trends, and ratings and commerce terms from international institutions. By signal mining policies to the economic outcome patterns, the book aims to create a rich source of successful policy insights in terms of their effectiveness in bringing development to the poor and underserved communities to ensure the spread of wealth, social wellbeing, and standard of living to the common denomination of society rather than a selected quotient. Enabling academics and practitioners across disciplines to develop applications for effective policy interventions, this volume will be of interest to a wide audience including software engineers, data scientists, social scientists, economists, and agriculture practitioners.
Authors and Affiliations
About the author
Chandrasekar Vuppalapati is a seasoned Software IT Executive with diverse experience in software technologies, enterprise software architectures, cloud computing, big data business analytics, internet of things (IoT), and software product and program management. He has held engineering and product leadership positions at Microsoft, GE Healthcare, Cisco Systems, St. Jude Medical, and Lucent Technologies. Chandrasekar has an MS in software engineering from San Jose State University (USA) and an MBA from Santa Clara
University (USA) and currently teaches software engineering, large-scale analytics, data science, mobile computing, cloud technologies, and web and data mining at San Jose State
University (USA).
Bibliographic Information
Book Title: Assessing Policy Effectiveness using AI and Language Models
Book Subtitle: Applications for Economic and Social Sustainability
Authors: Chandrasekar Vuppalapati
Series Title: International Series in Operations Research & Management Science
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Hardcover ISBN: 978-3-031-56096-5Due: 19 June 2024
Softcover ISBN: 978-3-031-56099-6Due: 19 June 2024
eBook ISBN: 978-3-031-56097-2Due: 19 June 2024
Series ISSN: 0884-8289
Series E-ISSN: 2214-7934
Edition Number: 1
Number of Pages: XXIII, 486
Number of Illustrations: 245 b/w illustrations