Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Information Retrieval and Natural Language Processing: A Graph Theory Approach

Information Retrieval and Natural Language Processing: A Graph Theory Approach

Sonawane, Sheetal S.
Mahalle, Parikshit N.
Ghotkar, Archana S.

Hardcover

Series: Studies in Big Data, Book 104

General ComputersGeneral MathematicsComputer Security

ISBN10: 9811699941
ISBN13: 9789811699948
Publisher: Springer Nature
Published: Feb 23 2022
Pages: 176
Weight: 1.00
Height: 0.50 Width: 6.14 Depth: 9.21
Language: English

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.

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