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010   $a3-031-88988-6
024 7 $a10.1007/978-3-031-88988-2
035   $a(CKB)39331252300041
035   $a(MiAaPQ)EBC32157294
035   $a(Au-PeEL)EBL32157294
035   $a(OCoLC)1524422715
035   $a(DE-He213)978-3-031-88988-2
035   $a(EXLCZ)9939331252300041
100   $a20250616d2025      u|         0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aTransformative Natural Language Processing $eBridging Ambiguity in Healthcare, Legal, and Financial Applications /$fedited by Akshi Kumar, Saurabh Raj Sangwan
205   $a1st ed. 2025.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025.
215   $a1 online resource (0 pages)
311 08$a3-031-88987-8 
327   $aPreface -- 1. Introduction to Natural Language Processing in High-Stakes Domains -- 2. NLP in Medicine: Enhancing Diagnostics and Patient Care -- 3. NLP in the Legal Domain: Ensuring Precision and Compliance -- 4. Introduction to NLP in Finance: Sentiment Analysis and Risk Management -- 5. Managing Uncertainty in NLP: Advanced Techniques and Approaches -- 6. NLP for Fraud Detection and Security in Financial Documents -- 7. Multilingual and Cross-Linguistic Challenges in NLP -- 8. NLP in Action: Case Studies from Healthcare, Finance, and Industry -- 9. Generative Large Language Models in Clinical, Legal and Financial Domains -- 10. Responsible and Ethical AI in Natural Language Processing.
330   $aThe evolving landscape of technology has presented numerous opportunities for addressing some of the most critical challenges in high-stakes domains such as medicine, law, and finance. These fields, where the stakes are exceptionally high, have increasingly turned to Natural Language Processing (NLP) to manage, interpret, and utilize vast amounts of unstructured linguistic data. The complexities and subtleties inherent in human language pose significant challenges in these sectors, where precision and clarity are paramount. Misinterpretation or ambiguity can lead to far-reaching consequences, making the need for advanced NLP techniques crucial. This book aims to bridge the gap between state-of-the-art NLP technologies and their practical applications in medicine, law, and finance. By focusing on the specific challenges and advancements within these sectors, the publication intends to highlight innovative approaches, methodologies, and technologies that are shaping the future of NLP. It discusses the integration of NLP with other technological advancements, the development of new tools and techniques, and the ethical considerations involved in deploying NLP solutions in high-stakes domains. Moreover, the book provides a platform for researchers, practitioners, and industry experts to share their experiences, insights, and research findings. Through comprehensive reviews, case studies, and empirical research, it covers a range of topics including but not limited to handling uncertainty in clinical notes, approaches for dealing with ambiguity in legal documents, sentiment analysis in financial markets, and ethical considerations in the use of NLP for sensitive data.
606   $aNatural language processing (Computer science)
606   $aComputational linguistics
606   $aData mining
606   $aArtificial intelligence
606   $aData protection
606   $aBusiness$xData processing
606   $aNatural Language Processing (NLP)
606   $aComputational Linguistics
606   $aData Mining and Knowledge Discovery
606   $aArtificial Intelligence
606   $aData and Information Security
606   $aBusiness Informatics
615  0$aNatural language processing (Computer science)
615  0$aComputational linguistics.
615  0$aData mining.
615  0$aArtificial intelligence.
615  0$aData protection.
615  0$aBusiness$xData processing.
615 14$aNatural Language Processing (NLP).
615 24$aComputational Linguistics.
615 24$aData Mining and Knowledge Discovery.
615 24$aArtificial Intelligence.
615 24$aData and Information Security.
615 24$aBusiness Informatics.
676   $a006.35
700   $aKumar$b Akshi$01749692
701   $aSangwan$b Saurabh Raj$01829173
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9911011348203321
996   $aTransformative Natural Language Processing$94398346
997   $aUNINA