Information Retrieval and Natural Language Processing
Sonawane, Sheetal S., Mahalle, Parikshit N., Ghotkar, Archana S.
Produktnummer:
18befc728efd564fff8756ffc35dbb0fd0
Autor: | Ghotkar, Archana S. Mahalle, Parikshit N. Sonawane, Sheetal S. |
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Themengebiete: | Data Science Graph Networks Graph Theory Graph methods Information Retrieval Machine Learning Natural Language Processing Supervised Learning Text Analytics |
Veröffentlichungsdatum: | 23.02.2022 |
EAN: | 9789811699948 |
Sprache: | Englisch |
Seitenzahl: | 176 |
Produktart: | Gebunden |
Verlag: | Springer Singapore |
Untertitel: | A Graph Theory Approach |
Produktinformationen "Information Retrieval and Natural Language Processing"
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.

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