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Generative Methods for Social Media Analysis (SpringerBriefs in Computer Science)
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 5 out of 5 stars
paperback. Condition: Very Good.
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Paperback or Softback. Condition: New. Generative Methods for Social Media Analysis. Book.
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Generative Methods for Social Media Analysis (SpringerBriefs in Computer Science)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Generative Methods for Social Media Analysis
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Condition: New.
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Paperback. Condition: Brand New. 97 pages. 9.25x6.10x0.21 inches. In Stock.
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Generative Methods for Social Media Analysis
Published by Springer Nature Switzerland, Springer Nature Switzerland Jul 2023, 2023
ISBN 10: 303133616X ISBN 13: 9783031336164
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -This book provides a broad overview of the state of the art of the research in generative methods for the analysis of social media data. It especially includes two important aspects that currently gain importance in mining and modelling social media: dynamics and networks.The book is divided into five chapters and provides an extensive bibliography consisting of more than 250 papers. After a quick introduction and survey of the book in the first chapter, chapter 2 is devoted to the discussion of data models and ontologies for social network analysis. Next, chapter 3 deals with text generation and generative text models and the dangers they pose to social media and society at large. Chapter 4 then focuses on topic modelling and sentiment analysis in the context of social networks. Finally, Chapter 5 presents graph theory tools and approaches to mine and model social networks. Throughout the book, open problems, highlighting potential future directions, are clearly identified.The book aims at researchers and graduate students in social media analysis, information retrieval, and machine learning applications.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 100 pp. Englisch.
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Generative Methods for Social Media Analysis
Published by Springer Nature Switzerland, Springer International Publishing, 2023
ISBN 10: 303133616X ISBN 13: 9783031336164
Language: English
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a broad overview of the state of the art of the research in generative methods for the analysis of social media data. It especially includes two important aspects that currently gain importance in mining and modelling social media: dynamics and networks.The book is divided into five chapters and provides an extensive bibliography consisting of more than 250 papers. After a quick introduction and survey of the book in the first chapter, chapter 2 is devoted to the discussion of data models and ontologies for social network analysis. Next, chapter 3 deals with text generation and generative text models and the dangers they pose to social media and society at large. Chapter 4 then focuses on topic modelling and sentiment analysis in the context of social networks. Finally, Chapter 5 presents graph theory tools and approaches to mine and model social networks. Throughout the book, open problems, highlighting potential future directions, are clearly identified.The book aims at researchers and graduate students in social media analysis, information retrieval, and machine learning applications.
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Generative Methods for Social Media Analysis
Published by Springer Nature Switzerland, 2023
ISBN 10: 303133616X ISBN 13: 9783031336164
Language: English
Taschenbuch. Condition: Neu. Generative Methods for Social Media Analysis | Stan Matwin (u. a.) | Taschenbuch | vii | Englisch | 2023 | Springer Nature Switzerland | EAN 9783031336164 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Generative Methods for Social Media Analysis
Published by Springer Nature Switzerland, Springer International Publishing Jul 2023, 2023
ISBN 10: 303133616X ISBN 13: 9783031336164
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a broad overview of the state of the art of the research in generative methods for the analysis of social media data. It especially includes two important aspects that currently gain importance in mining and modelling social media: dynamics and networks.The book is divided into five chapters and provides an extensive bibliography consisting of more than 250 papers. After a quick introduction and survey of the book in the first chapter, chapter 2 is devoted to the discussion of data models and ontologies for social network analysis. Next, chapter 3 deals with text generation and generative text models and the dangers they pose to social media and society at large. Chapter 4 then focuses on topic modelling and sentiment analysis in the context of social networks. Finally, Chapter 5 presents graph theory tools and approaches to mine and model social networks. Throughout the book, open problems, highlighting potential future directions, are clearly identified.The book aims at researchers and graduate students in social media analysis, information retrieval, and machine learning applications. 100 pp. Englisch.
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Condition: New. Print on Demand.
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Condition: New. PRINT ON DEMAND.
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Generative Methods for Social Media Analysis
Published by Springer, Berlin|Springer Nature Switzerland|Springer, 2023
ISBN 10: 303133616X ISBN 13: 9783031336164
Language: English
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book provides a broad overview of the state of the art of the research in generative methods for the analysis of social media data. It especially includes two important aspects that currently gain importance in mining and modelling social media: dyn.
