| 000 | 03784nam a22006375i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-56097-2 | ||
| 003 | DE-He213 | ||
| 005 | 20251030112242.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 240530s2024 sz | s |||| 0|eng d | ||
| 020 |
_a9783031560972 _9978-3-031-56097-2 |
||
| 024 | 7 |
_a10.1007/978-3-031-56097-2 _2doi |
|
| 050 | 4 | _aT57.6-.97 | |
| 072 | 7 |
_aKJT _2bicssc |
|
| 072 | 7 |
_aKJMD _2bicssc |
|
| 072 | 7 |
_aBUS049000 _2bisacsh |
|
| 072 | 7 |
_aKJT _2thema |
|
| 072 | 7 |
_aKJMD _2thema |
|
| 100 | 1 |
_aVuppalapati, Chandrasekar. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _977821 |
|
| 245 | 1 | 0 |
_aAssessing Policy Effectiveness using AI and Language Models _h[electronic resource] : _bApplications for Economic and Social Sustainability / _cby Chandrasekar Vuppalapati. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2024. |
|
| 300 |
_aXXI, 467 p. 245 illus. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aInternational Series in Operations Research & Management Science, _x2214-7934 ; _v354 |
|
| 505 | 0 | _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. | |
| 520 | _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. | ||
| 650 | 0 |
_aOperations research. _957943 |
|
| 650 | 0 |
_aEconomic policy. _958351 |
|
| 650 | 0 |
_aSocial policy. _960914 |
|
| 650 | 0 |
_aMachine learning. _955059 |
|
| 650 | 0 |
_aArtificial intelligence. _958441 |
|
| 650 | 0 |
_aData structures (Computer science). _966708 |
|
| 650 | 0 |
_aInformation theory. _957783 |
|
| 650 | 1 | 4 |
_aOperations Research and Decision Theory. _967143 |
| 650 | 2 | 4 |
_aSocio-Economic Policy. _969624 |
| 650 | 2 | 4 |
_aMachine Learning. _955059 |
| 650 | 2 | 4 |
_aArtificial Intelligence. _958441 |
| 650 | 2 | 4 |
_aData Structures and Information Theory. _966709 |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031560965 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031560989 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031560996 |
| 830 | 0 |
_aInternational Series in Operations Research & Management Science, _x2214-7934 ; _v354 _969480 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-56097-2 |
| 912 | _aZDB-2-BUM | ||
| 912 | _aZDB-2-SXBM | ||
| 999 |
_c60283 _d60283 |
||