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024 7 $a10.1007/978-981-97-7858-4
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035   $a(CKB)37200598000041
035   $a(DE-He213)978-981-97-7858-4
035   $a(OCoLC)1493039254
035   $a(EXLCZ)9937200598000041
100   $a20250113d2024      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aText Mining in Educational Research $eTopic Modeling and Latent Dirichlet Allocation /$fedited by Myint Swe Khine
205   $a1st ed. 2024.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024.
215   $a1 online resource (179 pages)
311 08$a9789819778577 
311 08$a9819778573 
327   $aUsing 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.
330   $aThis 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. .
606   $aEducational technology
606   $aTeachers$xTraining of
606   $aDigital Education and Educational Technology
606   $aTeaching and Teacher Education
615  0$aEducational technology.
615  0$aTeachers$xTraining of.
615 14$aDigital Education and Educational Technology.
615 24$aTeaching and Teacher Education.
676   $a371.33
700   $aKhine$b Myint Swe$0858650
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910947534703321
996   $aText Mining in Educational Research$94332021
997   $aUNINA