UID:
almafu_9961535692702883
Format:
1 online resource (481 pages)
Edition:
1st ed. 2024.
ISBN:
9783031560972
Series Statement:
International Series in Operations Research & Management Science, 354
Content:
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.
Note:
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.
Additional Edition:
Print version: Vuppalapati, Chandrasekar Assessing Policy Effectiveness Using AI and Language Models Cham : Springer,c2024 ISBN 9783031560965
Language:
English
DOI:
10.1007/978-3-031-56097-2
URL:
Volltext
(URL des Erstveröffentlichers)
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