Unlocking Unstructured Data: The Springer Series in Applied Machine Learning
Editat de Hossein Mohammadi Rouzbahanien Limba Engleză Hardback – 28 oct 2026
Preț: 1118.00 lei
Preț vechi: 1397.50 lei
-20% Precomandă
Carte nepublicată încă
Specificații
ISBN-10: 3032276195
Pagini: 426
Dimensiuni: 155 x 235 mm
Editura: Springer Nature Switzerland AG
Colecția The Springer Series in Applied Machine Learning
Seria The Springer Series in Applied Machine Learning
Cuprins
The Unstructured Data Challenge in Public Services.- Large Language Models: Capabilities and Limitations.- Framework for Evaluating LLM Applications in Public Services.- Document Digitization Pipelines.- Form Processing and Information Extraction.- Free-Text Analysis for Citizen Feedback and Communications.- Multimodal Approaches for Complex Document Understanding.- Healthcare Record Digitization and Analysis.- Social Services and Benefits Administration.- Regulatory Compliance and Documentation.- Public Feedback and Citizen Engagement.- Governance Frameworks for LLM Implementation.- Privacy, Security, and Trust.- Implementation Strategies and Organizational Change.- Future Directions and Research Agenda.