Price: $129.99 - $89.47
(as of Jul 16, 2025 05:28:57 UTC – Details)
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.
Publisher : Springer
Publication date : February 23, 2022
Edition : 1st ed. 2022
Language : English
Print length : 195 pages
ISBN-10 : 9811699941
ISBN-13 : 978-9811699948
Item Weight : 1.03 pounds
Dimensions : 6.14 x 0.5 x 9.21 inches
Part of series : Studies in Big Data
Best Sellers Rank: #1,533,890 in Books (See Top 100 in Books) #69 in Speech & Audio Processing #131 in Graph Theory (Books) #157 in Information Theory
