03784nam a22006375i 4500 978-3-031-56097-2 DE-He213 20251030112242.0 cr nn 008mamaa 240530s2024 sz | s |||| 0|eng d 9783031560972 978-3-031-56097-2 10.1007/978-3-031-56097-2 doi T57.6-.97 KJT bicssc KJMD bicssc BUS049000 bisacsh KJT thema KJMD thema Vuppalapati, Chandrasekar. author. aut http://id.loc.gov/vocabulary/relators/aut 77821 Assessing Policy Effectiveness using AI and Language Models [electronic resource] : Applications for Economic and Social Sustainability / by Chandrasekar Vuppalapati. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XXI, 467 p. 245 illus. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda International Series in Operations Research & Management Science, 2214-7934 ; 354 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. 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. Operations research. 57943 Economic policy. 58351 Social policy. 60914 Machine learning. 55059 Artificial intelligence. 58441 Data structures (Computer science). 66708 Information theory. 57783 Operations Research and Decision Theory. 67143 Socio-Economic Policy. 69624 Machine Learning. 55059 Artificial Intelligence. 58441 Data Structures and Information Theory. 66709 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031560965 Printed edition: 9783031560989 Printed edition: 9783031560996 International Series in Operations Research & Management Science, 2214-7934 ; 354 69480 https://doi.org/10.1007/978-3-031-56097-2 ZDB-2-BUM ZDB-2-SXBM 60283 60283