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Text mining educational research (5 Ergebnisse)

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  • Sprache: Englisch

    Verlag: Springer Nature, 2025

    9819778573 / 9789819778577

    • Hardcover

    Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books

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    Zustand: Neu

    EUR 160,45

    EUR 11,98 Versand 
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    Hardcover. Zustand: Brand New. 160 pages. 9.25x6.10x9.49 inches. In Stock.

  • Sprache: Englisch

    Verlag: Springer, 2026

    9819778603 / 9789819778607

    • Softcover

    Anbieter: preigu, Osnabrück, Deutschlandpreigu

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    Zustand: Neu

    EUR 149,30

    EUR 70,00 Versand 
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    Taschenbuch. Zustand: Neu. Text Mining in Educational Research | Topic Modeling and Latent Dirichlet Allocation | Myint Swe Khine | Taschenbuch | ix | Englisch | 2026 | Springer | EAN 9789819778607 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

  • Sprache: Englisch

    Verlag: Springer, 2026

    9819778603 / 9789819778607

    • Softcover

    Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

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    Zustand: Neu

    EUR 195,00

    EUR 35,00 Versand 
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    Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This edited book consolidates and documents recent research on topic modeling in text mining using Latent Dirichlet Allocation (LDA). Written by leading experts in topic modeling, it covers a wide range of areas, such as theory building, systematic research, and innovative applications. This book offers a thorough exploration of the latest advancements in topic modeling. From identifying issues in unstructured text data to categorizing documents and extracting valuable insights, the book provides practical use of LDA as a powerful tool in qualitative and quantitative research. The chapters discuss the rapidly evolving landscape of topic modeling algorithms and offer tangible examples and applications of LDA in educational research, showcasing its real-world impact. This book dives into the heart of educational research and uncovers the transformative potential of Latent Dirichlet Allocation in shaping the future of topic modeling. This book is a valuable resource, highlighting exemplary works and rapid advances in the field. It appeals to students, researchers, and practitioners interested in text mining.…

  • Sprache: Englisch

    Verlag: Springer, 2025

    9819778573 / 9789819778577

    • Hardcover

    Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

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    Zustand: Neu

    EUR 195,00

    EUR 35,00 Versand 
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    Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This edited book consolidates and documents recent research on topic modeling in text mining using Latent Dirichlet Allocation (LDA). Written by leading experts in topic modeling, it covers a wide range of areas, such as theory building, systematic research, and innovative applications. This book offers a thorough exploration of the latest advancements in topic modeling. From identifying issues in unstructured text data to categorizing documents and extracting valuable insights, the book provides practical use of LDA as a powerful tool in qualitative and quantitative research. The chapters discuss the rapidly evolving landscape of topic modeling algorithms and offer tangible examples and applications of LDA in educational research, showcasing its real-world impact. This book dives into the heart of educational research and uncovers the transformative potential of Latent Dirichlet Allocation in shaping the future of topic modeling. This book is a valuable resource, highlighting exemplary works and rapid advances in the field. It appeals to students, researchers, and practitioners interested in text mining.…

  • Sprache: Englisch

    Verlag: Springer Verlag, Singapore, Singapore, 2025

    9819778573 / 9789819778577

    • Hardcover

    Anbieter: AussieBookSeller, Truganina, VIC, AustralienAussieBookSeller

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    Zustand: Neu

    EUR 229,40

    EUR 32,95 Versand 
    Versand von Australien nach USA

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    Hardcover. Zustand: new. Hardcover. This edited book consolidates and documents recent research on topic modeling in text mining using Latent Dirichlet Allocation (LDA). Written by leading experts in topic modeling, it covers a wide range of areas, such as theory building, systematic research, and innovative applications. This book offers a thorough exploration of the latest advancements in topic modeling. From identifying issues in unstructured text data to categorizing documents and extracting valuable insights, the book provides practical use of LDA as a powerful tool in qualitative and quantitative research. The chapters discuss the rapidly evolving landscape of topic modeling algorithms and offer tangible examples and applications of LDA in educational research, showcasing its real-world impact. This book dives into the heart of educational research and uncovers the transformative potential of Latent Dirichlet Allocation in shaping the future of topic modeling. This book is a valuable resource, highlighting exemplary works and rapid advances in the field. It appeals to students, researchers, and practitioners interested in text mining. This edited book consolidates and documents recent research on topic modeling in text mining using Latent Dirichlet Allocation (LDA). This book dives into the heart of educational research and uncovers the transformative potential of Latent Dirichlet Allocation in shaping the future of topic modeling. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…