LIBERO WebOPAC Catalogue Display (W561)

Catalogue Information
Field name	Details
Dewey Class	511.5
Title	Information Retrieval and Natural Language Processing ( EBook) : A Graph Theory Approach / / by Sheetal S. Sonawane, Parikshit N. Mahalle, Archana S. Ghotkar.
Author	Sonawane, Sheetal S.
Added Personal Name	Mahalle, Parikshit N.
Added Personal Name	Ghotkar, Archana S.
Other name(s)	SpringerLink (Online service)
Edition statement	1st ed. 2022.
Publication	Singapore : : Springer Nature Singapore : : Imprint: Springer, , 2022.
Physical Details	XIX, 176 p. 171 illus., 118 illus. in color. : online resource.
Series	Studies in Big Data 2197-6511 ; ; 104
ISBN	9789811699955
Summary Note	This book gives a comprehensive view of graph theory in informational retrieval (IR) and natural language processing(NLP). This book provides number of graph techniques for IR and NLP applications with examples. It also provides understanding of graph theory basics, graph algorithms and networks using graph. The book is divided into three parts and contains nine chapters. The first part gives graph theory basics and graph networks, and the second part provides basics of IR with graph-based information retrieval. The third part covers IR and NLP recent and emerging applications with case studies using graph theory. This book is unique in its way as it provides a strong foundation to a beginner in applying mathematical structure graph for IR and NLP applications. All technical details that include tools and technologies used for graph algorithms and implementation in Information Retrieval and Natural Language Processing with its future scope are explained in a clear and organized format.:
Contents note	Part A -- Chapter 1. Graph theory basics -- Chapter 2. Graph Algorithms -- Chapter 3. Networks using graph -- Part B -- Chapter 4. Information retrieval -- Chapter 5. Text document preprocessing using graph theory -- Chapter 6. Text analytics using graph theory -- Chapter 7. Knowledge graph -- Part C -- Chapter 8. Emerging Applications and development -- Chapter 9. Conclusion and future scope.
Mode of acces to digital resource	Digital reproduction.-
	Cham :
	Springer International Publishing,
	2022. -
	Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format.
System details note	Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site	https://doi.org/10.1007/978-981-16-9995-5
Links to Related Works	Subject References: Artificial intelligence—Data processing . Data and Information Security . Data protection . Data Science . Graph Theory . Machine Learning . Natural language processing (Computer science) . Natural Language Processing (NLP) . Authors: author . Ghotkar, Archana S. . Mahalle, Parikshit N. . Sonawane, Sheetal S. . Corporate Authors: SpringerLink (Online service) . Series: Studies in Big Data . Classification: 511.5 .

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Information Retrieval and Natural Language Processing: A Graph Theory Approach /

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