國立虎尾科技大學 |

Transformative natural language processing = bridging ambiguity in healthcare, legal, and financial applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Transformative natural language processing/ edited by Akshi Kumar, Saurabh Raj Sangwan.
其他題名:	bridging ambiguity in healthcare, legal, and financial applications /
其他作者:	Kumar, Akshi.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xii, 239 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Natural language processing (Computer science) -
電子資源:	https://doi.org/10.1007/978-3-031-88988-2
ISBN:	9783031889882

Transformative natural language processing = bridging ambiguity in healthcare, legal, and financial applications /
Transformative natural language processingbridging ambiguity in healthcare, legal, and financial applications /[electronic resource] :edited by Akshi Kumar, Saurabh Raj Sangwan. - Cham :Springer Nature Switzerland :2025. - xii, 239 p. :ill., digital ;24 cm.

Preface -- 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.

The 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.

ISBN: 9783031889882

Standard No.: 10.1007/978-3-031-88988-2doiSubjects--Topical Terms:

641811
Natural language processing (Computer science)

LC Class. No.: QA76.9.N38

Dewey Class. No.: 006.35

Transformative natural language processing = bridging ambiguity in healthcare, legal, and financial applications /
LDR:03453nam a22003255a 4500 001 1172213
003 DE-He213
005 20250806172101.0
006 m d
007 cr nn 008maaau
008 260625s2025 sz s 0 eng d
020 $a 9783031889882 $q (electronic bk.)
020 $a 9783031889875 $q (paper)
024 7 $a 10.1007/978-3-031-88988-2 $2 doi
035 $a 978-3-031-88988-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.N38
072 7 $a UYQL $2 bicssc
072 7 $a COM073000 $2 bisacsh
072 7 $a UYQL $2 thema
082 0 4 $a 006.35 $2 23
090 $a QA76.9.N38 $b T772 2025
245 0 0 $a Transformative natural language processing $h [electronic resource] : $b bridging ambiguity in healthcare, legal, and financial applications / $c edited by Akshi Kumar, Saurabh Raj Sangwan.
260 $a Cham : $c 2025. $b Springer Nature Switzerland : $b Imprint: Springer,
300 $a xii, 239 p. : $b ill., digital ; $c 24 cm.
505 0 $a Preface -- 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.
520 $a The 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.
650 0 $a Natural language processing (Computer science) $3 641811
650 0 $a Computational linguistics. $3 555811
650 0 $a Data mining. $3 528622
650 0 $a Artificial intelligence. $3 559380
650 0 $a Data protection. $3 557764
650 0 $a Business $x Data processing. $3 565427
650 1 4 $a Natural Language Processing (NLP). $3 1254293
650 2 4 $a Computational Linguistics. $3 670080
650 2 4 $a Data Mining and Knowledge Discovery. $3 677765
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Data and Information Security. $3 1365785
650 2 4 $a Business Informatics. $3 1366864
700 1 $a Kumar, Akshi. $e editor. $3 1320158
700 1 $a Sangwan, Saurabh Raj. $3 1502964
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-88988-2
950 $a Artificial Intelligence (R0) (SpringerNature-85269)