Information retrieval and natural language Processing : a Graph theory approach

Bibliographische Detailangaben

Titel
Information retrieval and natural language Processing a Graph theory approach
verantwortlich
Sonawane, Sheetal S. (VerfasserIn); Mahalle, Parikshit N. (VerfasserIn); Ghotkar, Archana S. (VerfasserIn)
Schriftenreihe
Studies in Big Data Ser. ; v.104
veröffentlicht
Singapore: Springer Singapore Pte. Limited, 2022
©2022
Erscheinungsjahr
2022
Teil von
Studies in Big Data Ser. ; v.104
Erscheint auch als
Sonawane, Sheetal S., Information retrieval and natural language processing, Singapore : Springer Nature, 2022, xix, 176 Seiten
Andere Ausgaben
Information retrieval and natural language processing: a graph theory approach
Medientyp
E-Book
Datenquelle
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Zusammenfassung
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.
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
Umfang
1 online resource ( xix, 176 pages); Illustrationen
Sprache
Englisch
Schlagworte
BK-Notation
06.30 Bibliothekswesen, Dokumentationswesen: Allgemeines
ISBN
9789811699955