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010   $a9783031560972$b(electronic bk.)
010   $z9783031560965
024 7 $a10.1007/978-3-031-56097-2
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035   $a(Au-PeEL)EBL31359027
035   $a(CKB)32200296200041
035   $a(DE-He213)978-3-031-56097-2
035   $a(EXLCZ)9932200296200041
100   $a20240530d2024      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAssessing Policy Effectiveness using AI and Language Models $eApplications for Economic and Social Sustainability /$fby Chandrasekar Vuppalapati
205   $a1st ed. 2024.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024.
215   $a1 online resource (481 pages)
225 1 $aInternational Series in Operations Research & Management Science,$x2214-7934 ;$v354
311 08$aPrint version: Vuppalapati, Chandrasekar Assessing Policy Effectiveness Using AI and Language Models Cham : Springer,c2024 9783031560965 
320   $aIncludes bibliographical references and index.
327   $aChapter 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.
330   $aThis volume uses advanced machine learning techniques to analyze government communication to evaluate policy effectiveness. The book develops policy effectiveness foundation models by cohorting historical budget policies with statistical models which are built on well reputed data sources including economic events, macroeconomic trends, and ratings and commerce terms from international institutions. By signal mining policies to the economic outcome patterns, the book aims to create a rich source of successful policy insights in terms of their effectiveness in bringing development to the poor and underserved communities to ensure the spread of wealth, social wellbeing, and standard of living to the common denomination of society rather than a selected quotient. Enabling academics and practitioners across disciplines to develop applications for effective policy interventions, this volume will be of interest to a wide audience including software engineers, data scientists, social scientists, economists, and agriculture practitioners.
410  0$aInternational Series in Operations Research & Management Science,$x2214-7934 ;$v354
606   $aOperations research
606   $aEconomic policy
606   $aSocial policy
606   $aMachine learning
606   $aArtificial intelligence
606   $aData structures (Computer science)
606   $aInformation theory
606   $aOperations Research and Decision Theory
606   $aSocio-Economic Policy
606   $aMachine Learning
606   $aArtificial Intelligence
606   $aData Structures and Information Theory
615  0$aOperations research.
615  0$aEconomic policy.
615  0$aSocial policy.
615  0$aMachine learning.
615  0$aArtificial intelligence.
615  0$aData structures (Computer science)
615  0$aInformation theory.
615 14$aOperations Research and Decision Theory.
615 24$aSocio-Economic Policy.
615 24$aMachine Learning.
615 24$aArtificial Intelligence.
615 24$aData Structures and Information Theory.
676   $a302.2
700   $aVuppalapati$b Chandrasekar$f1972-$01249386
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
912   $a9910865258603321
996   $aAssessing Policy Effectiveness using AI and Language Models$94247336
997   $aUNINA