| 書目名稱 | Information Retrieval and Natural Language Processing |
| 副標(biāo)題 | A Graph Theory Appro |
| 編輯 | Sheetal S. Sonawane,Parikshit N. Mahalle,Archana S |
| 視頻video | http://file.papertrans.cn/466/465221/465221.mp4 |
| 概述 | Provides a comprehensive view of graph theory in informational retrieval and natural language processing.Details understanding of graph theory basics, graph algorithms and networks using graph.Serves |
| 叢書名稱 | Studies in Big Data |
| 圖書封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2022 |
| 關(guān)鍵詞 | Graph Theory; Graph methods; Natural Language Processing; Information Retrieval; Data Science; Text Analy |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-16-9995-5 |
| isbn_softcover | 978-981-16-9997-9 |
| isbn_ebook | 978-981-16-9995-5Series ISSN 2197-6503 Series E-ISSN 2197-6511 |
| issn_series | 2197-6503 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
|Archiver|手機(jī)版|小黑屋|
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