| 書目名稱 | Data Science for Fake News | | 副標(biāo)題 | Surveys and Perspect | | 編輯 | Deepak P,Tanmoy Chakraborty,Santhosh Kumar G | | 視頻video | http://file.papertrans.cn/264/263117/263117.mp4 | | 概述 | Provides surveys of various data science technologies to address the fake news menace, including graph analytics, natural language processing, information retrieval, and computer vision.Includes persp | | 叢書名稱 | The Information Retrieval Series | | 圖書封面 |  | | 描述 | This book provides an overview of fake news detection, both through a variety of tutorial-style survey articles that capture advancements in the field from various facets and in a somewhat unique direction through expert perspectives from various disciplines. The approach is based on the idea that advancing the frontier on data science approaches for fake news is an interdisciplinary effort, and that perspectives from domain experts are crucial to shape the next generation of methods and tools..The fake news challenge cuts across a number of data science subfields such as graph analytics, mining of spatio-temporal data, information retrieval, natural language processing, computer vision and image processing, to name a few. This book will present a number of tutorial-style surveys that summarize a range of recent work in the field. In a unique feature, this book includes perspective notes from experts in disciplines such as linguistics, anthropology, medicine and politics that will help to shape the next generation of data science research in fake news..The main target groups of this book are academic and industrial researchers working in the area of data science, and with interests | | 出版日期 | Book 2021 | | 關(guān)鍵詞 | Fake News; Data Analytics; Media Analytics; Information Retrieval; Web Search; Media Security | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-62696-9 | | isbn_softcover | 978-3-030-62698-3 | | isbn_ebook | 978-3-030-62696-9Series ISSN 1871-7500 Series E-ISSN 2730-6836 | | issn_series | 1871-7500 | | copyright | Springer Nature Switzerland AG 2021 |
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