9783031108686 - deep learning for social media data analytics: 113 (13 risultati)

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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Deep Learning for Social Media Data Analytics
Hong, Tzung-pei (EDT); Serrano-estrada, Leticia (EDT); Saxena, Akrati (EDT); Biswas, Anupam (EDT)
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Deep Learning for Social Media Data Analytics
Hong, Tzung-pei (EDT); Serrano-estrada, Leticia (EDT); Saxena, Akrati (EDT); Biswas, Anupam (EDT)
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Deep Learning for Social Media Data Analytics
Hong, Tzung-pei (EDT); Serrano-estrada, Leticia (EDT); Saxena, Akrati (EDT); Biswas, Anupam (EDT)
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Deep Learning for Social Media Data Analytics
Hong, Tzung-pei (EDT); Serrano-estrada, Leticia (EDT); Saxena, Akrati (EDT); Biswas, Anupam (EDT)
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 160,49
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Buch. Condizione: 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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Da: Revaluation Books, Exeter, , Regno UnitoRevaluation Books
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EUR 238,68
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Hardcover. Condizione: Brand New. 309 pages. 9.25x6.10x9.21 inches. In Stock.

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Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.

Lingua: Inglese
Editore: Springer, Berlin|Springer International Publishing|Springer 2022
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Da: moluna, Greven, , Germaniamoluna
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EUR 136,16
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Condizione: 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 amoun…ts of data have enormous potential to .

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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 160,49
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Buch. Condizione: 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 enormo…us 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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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Buch. Condizione: 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 p…otential 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.