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Text Mining in Educational Research

By Khine, Myint Swe

Text Mining in Educational Research

By Khine, Myint Swe

0 - Default Title
Description
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.
Product details
Binding:
Paperback
Number of Pages:
168
Release Date:
2026-01-13
Publication Date:
2026-01-13
Publisher:
Springer
Languages:
Original: English
ISBN10:
9819778603
ISBN13:
9789819778607
GPSR Manufacturer Reference:
[email protected]
Weight:
265 g
Height:
155 cm
Width:
235 cm
Thickness:
10 cm
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