03183nam a22004935i 4500 978-981-97-7858-4 DE-He213 20251030114924.0 cr nn 008mamaa 250113s2024 si | s |||| 0|eng d 9789819778584 978-981-97-7858-4 10.1007/978-981-97-7858-4 doi LB1028.3 JNV bicssc EDU000000 bisacsh JNV thema Text Mining in Educational Research [electronic resource] : Topic Modeling and Latent Dirichlet Allocation / edited by Myint Swe Khine. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. IX, 151 p. 38 illus., 26 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Using the Structural Topic Model to Explore Learner Satisfaction with LMOOCs -- Text Mining Applications in Educational Research -- The Advent of Topic Noise Models -- Formalizing the Social Aspects of Topic Modeling: Focus on the Social Positioning of Researchers. 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. . Educational technology. 57244 Teachers Training of. 58400 Digital Education and Educational Technology. 68557 Teaching and Teacher Education. Khine, Myint Swe. editor. edt http://id.loc.gov/vocabulary/relators/edt 71697 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819778577 Printed edition: 9789819778591 Printed edition: 9789819778607 https://doi.org/10.1007/978-981-97-7858-4 ZDB-2-EDA ZDB-2-SXED 66407 66407