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.