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Deep Learning for Social Media Data Analytics (Studies in Big Data, 113)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 136.79
£ 11.98 shipping
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Deep Learning for Social Media Data Analytics (Studies in Big Data)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 136.79
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Deep Learning for Social Media Data Analytics
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 136.78
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Condition: New.
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Condition: As New. Unread book in perfect condition.
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Condition: New. pp. 312.
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Deep Learning for Social Media Data Analytics
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 152.26
£ 15 shipping
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Deep Learning For Social Media Data Anal
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New.
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Taschenbuch. Condition: Neu. Deep Learning for Social Media Data Analytics | Tzung-Pei Hong (u. a.) | Taschenbuch | x | Englisch | 2023 | Springer | EAN 9783031108716 | 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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Deep Learning for Social Media Data Analytics
Language: English
Published by Springer International Publishing, Springer International Publishing, 2023
ISBN 10: 303110871X ISBN 13: 9783031108716
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This edited book covers ongoing research in both theory and practical applications of using deep learning for social media data. Social networking platforms are overwhelmed by different contents, and their huge amounts of data have enormous potential to influence business, politics, security, planning and other social aspects. Recently, deep learning techniques have had many successful applications in the AI field. The research presented in this book emerges from the conviction that there is still much progress to be made toward exploiting deep learning in the context of social media data analytics. It includes fifteen chapters, organized into four sections that report on original research in network structure analysis, social media text analysis, user behaviour analysis and social media security analysis. This work could serve as a good reference for researchers, as well as a compilation of innovative ideas and solutions for practitioners interested in applying deep learning techniques to social media data analytics.
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Deep Learning for Social Media Data Analytics
Language: English
Published by Springer International Publishing, 2022
ISBN 10: 303110868X ISBN 13: 9783031108686
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This edited book covers ongoing research in both theory and practical applications of using deep learning for social media data. Social networking platforms are overwhelmed by different contents, and their huge amounts of data have enormous potential to influence business, politics, security, planning and other social aspects. Recently, deep learning techniques have had many successful applications in the AI field. The research presented in this book emerges from the conviction that there is still much progress to be made toward exploiting deep learning in the context of social media data analytics. It includes fifteen chapters, organized into four sections that report on original research in network structure analysis, social media text analysis, user behaviour analysis and social media security analysis. This work could serve as a good reference for researchers, as well as a compilation of innovative ideas and solutions for practitioners interested in applying deep learning techniques to social media data analytics.
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Paperback. Condition: Brand New. 309 pages. 9.26x6.10x0.65 inches. In Stock.
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Deep Learning for Social Media Data Analytics
Language: English
Published by Springer-Nature New York Inc, 2022
ISBN 10: 303110868X ISBN 13: 9783031108686
Hardcover. Condition: Brand New. 309 pages. 9.25x6.10x9.21 inches. In Stock.
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Condition: New.
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Condition: new. Questo è un articolo print on demand.
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Condition: new. Questo è un articolo print on demand.
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Deep Learning for Social Media Data Analytics
Language: English
Published by Springer International Publishing Sep 2022, 2022
ISBN 10: 303110868X ISBN 13: 9783031108686
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This edited book covers ongoing research in both theory and practical applications of using deep learning for social media data. Social networking platforms are overwhelmed by different contents, and their huge amounts of data have enormous potential to influence business, politics, security, planning and other social aspects. Recently, deep learning techniques have had many successful applications in the AI field. The research presented in this book emerges from the conviction that there is still much progress to be made toward exploiting deep learning in the context of social media data analytics. It includes fifteen chapters, organized into four sections that report on original research in network structure analysis, social media text analysis, user behaviour analysis and social media security analysis. This work could serve as a good reference for researchers, as well as a compilation of innovative ideas and solutions for practitioners interested in applying deep learning techniques to social media data analytics. 312 pp. Englisch.
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Deep Learning for Social Media Data Analytics
Language: English
Published by Springer International Publishing Okt 2023, 2023
ISBN 10: 303110871X ISBN 13: 9783031108716
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 edited book covers ongoing research in both theory and practical applications of using deep learning for social media data. Social networking platforms are overwhelmed by different contents, and their huge amounts of data have enormous potential to influence business, politics, security, planning and other social aspects. Recently, deep learning techniques have had many successful applications in the AI field. The research presented in this book emerges from the conviction that there is still much progress to be made toward exploiting deep learning in the context of social media data analytics. It includes fifteen chapters, organized into four sections that report on original research in network structure analysis, social media text analysis, user behaviour analysis and social media security analysis. This work could serve as a good reference for researchers, as well as a compilation of innovative ideas and solutions for practitioners interested in applying deep learning techniques to social media data analytics. 312 pp. Englisch.
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Deep Learning for Social Media Data Analytics
Language: English
Published by Springer, Berlin|Springer International Publishing|Springer, 2023
ISBN 10: 303110871X ISBN 13: 9783031108716
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This edited book covers ongoing research in both theory and practical applications of using deep learning for social media data. Social networking platforms are overwhelmed by different contents, and their huge amounts of data have enormous potential to .
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Deep Learning for Social Media Data Analytics
Language: English
Published by Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10: 303110868X ISBN 13: 9783031108686
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This edited book covers ongoing research in both theory and practical applications of using deep learning for social media data. Social networking platforms are overwhelmed by different contents, and their huge amounts of data have enormous potential to .
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Condition: New. PRINT ON DEMAND pp. 312.
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Deep Learning for Social Media Data Analytics
Language: English
Published by Springer, Springer Sep 2023, 2023
ISBN 10: 303110871X ISBN 13: 9783031108716
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This edited book covers ongoing research in both theory and practical applications of using deep learning for social media data. Social networking platforms are overwhelmed by different contents, and their huge amounts of data have enormous potential to influence business, politics, security, planning and other social aspects. Recently, deep learning techniques have had many successful applications in the AI field. The research presented in this book emerges from the conviction that there is still much progress to be made toward exploiting deep learning in the context of social media data analytics. It includes fifteen chapters, organized into four sections that report on original research in network structure analysis, social media text analysis, user behaviour analysis and social media security analysis. This work could serve as a good reference for researchers, as well as a compilation of innovative ideas and solutions for practitioners interested in applying deep learning techniques to social media data analytics.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 312 pp. Englisch.
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Deep Learning for Social Media Data Analytics
Language: English
Published by Springer, Springer Sep 2022, 2022
ISBN 10: 303110868X ISBN 13: 9783031108686
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This edited book covers ongoing research in both theory and practical applications of using deep learning for social media data. Social networking platforms are overwhelmed by different contents, and their huge amounts of data have enormous potential to influence business, politics, security, planning and other social aspects. Recently, deep learning techniques have had many successful applications in the AI field. The research presented in this book emerges from the conviction that there is still much progress to be made toward exploiting deep learning in the context of social media data analytics. It includes fifteen chapters, organized into four sections that report on original research in network structure analysis, social media text analysis, user behaviour analysis and social media security analysis. This work could serve as a good reference for researchers, as well as a compilation of innovative ideas and solutions for practitioners interested in applying deep learning techniques to social media data analytics.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 312 pp. Englisch.
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Condition: New. Print on Demand pp. 312.
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Condition: New. Print on Demand.
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Condition: New. PRINT ON DEMAND.
