TY  - BOOK
AU  - Vuppalapati,Chandrasekar
ED  - SpringerLink (Online service)
TI  - Assessing Policy Effectiveness using AI and Language Models: Applications for Economic and Social Sustainability 
T2  - International Series in Operations Research & Management Science,
SN  - 9783031560972
AV  - T57.6-.97 
PY  - 2024///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Operations research
KW  - Economic policy
KW  - Social policy
KW  - Machine learning
KW  - Artificial intelligence
KW  - Data structures (Computer science)
KW  - Information theory
KW  - Operations Research and Decision Theory
KW  - Socio-Economic Policy
KW  - Machine Learning
KW  - Artificial Intelligence
KW  - Data Structures and Information Theory
N1  - Chapter 1: Introduction -- Chapter 2 : Natural Language Models -- Chapter 3: Large Language Models -- Chapter 4 : Macroeconomic Indicators, Aggregates, and Framework -- Chapter 5 : Economic Sustainability -- Chapter 6 : Social Sustainability -- Chapter 7: Conclusion
N2  - 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
UR  - https://doi.org/10.1007/978-3-031-56097-2
ER  -