Information Retrieval and Natural Language Processing: A Graph Theory Approach [Hardcover]

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.

Dr. Sheetal S. Sonawane is an associate professor in the Department of Computer Engineering at Pune institute of Computer Technology (Pune).  She received PhD in Computer Engineering from college of Engineering at Savitribai Phule Pune University in 2018. She received her bachelors degree in computer engineering from Pune University in 2000 and 4th rank holder in Pune University for masters degree in computer engineering in year 2006. She has more than 19 years of tel³†